Stop the war!
Остановите войну!
for scientists:
default search action
CoRR, September 2018
-
On ZpZpk-additive codes and their duality. -
Gromov-Wasserstein Alignment of Word Embedding Spaces. -
Bilinear Recovery using Adaptive Vector-AMP. -
Implementing WHERE and ORDER BY as spreadsheet formulas. -
Social Network Structure is Predictive of Health and Wellness. -
Estimation for Quadrotors. -
Total Recall, Language Processing, and Software Engineering. -
What do RNN Language Models Learn about Filler-Gap Dependencies? -
Admission and Congestion Control for 5G Network Slicing. -
A Multi-Timescale Data-Driven Approach to Enhance Distribution System Observability. -
A Game-Theoretic Data-Driven Approach for Pseudo-Measurement Generation in Distribution System State Estimation. -
Your Actions or Your Associates? Predicting Certification and Dropout in MOOCs with Behavioral and Social Features. -
On The Capacity of Gaussian MIMO Channels Under The Joint Power Constraints. -
A Survey on State Estimation Techniques and Challenges in Smart Distribution Systems. -
Aesthetic Features for Personalized Photo Recommendation. -
Generalizing Procrustes Analysis for Better Bilingual Dictionary Induction. -
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks. -
Indicatements that character language models learn English morpho-syntactic units and regularities. -
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection. -
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size). -
Nightmare at test time: How punctuation prevents parsers from generalizing. -
Rx-Caffe: Framework for evaluating and training Deep Neural Networks on Resistive Crossbars. -
Semantic Mapping for Orchard Environments by Merging Two-Sides Reconstructions of Tree Rows. -
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. -
Collective fast delivery by energy-efficient agents. -
Understanding Neural Pathways in Zebrafish through Deep Learning and High Resolution Electron Microscope Data. -
A Simplified Approach to Deep Learning for Image Segmentation. -
Hierarchical CVAE for Fine-Grained Hate Speech Classification. -
Eliminating Boundaries in Cloud Storage with Anna. -
Cost Functions for Robot Motion Style. -
Robust 3D Distributed Formation Control with Application to Quadrotors. -
Entropy and Graph Energy of Complex Networks. -
Learning Low Precision Deep Neural Networks through Regularization. -
Vision-Based Distributed Formation Control of Unmanned Aerial Vehicles. -
Attentive Crowd Flow Machines. -
Privacy, ethics, and data access: A case study of the Fragile Families Challenge. -
Dependency-based Hybrid Trees for Semantic Parsing. -
Multi-UAV Continuum Deformation Flight Optimization in Cluttered Urban Environments. -
DAC-SDC Low Power Object Detection Challenge for UAV Applications. -
What's a little leakage between friends? -
On Triangluar Separation of Bichromatic Point Sets in Polygonal Environment. -
Beyond Error Propagation in Neural Machine Translation: Characteristics of Language Also Matter. -
A Review of Software-Defined WLANs: Architectures and Central Control Mechanisms. -
Simple Fusion: Return of the Language Model. -
Contextual Encoding for Translation Quality Estimation. -
Semi-supervised Learning on Graphs with Generative Adversarial Nets. -
The Data Complexity of Ontology-Mediated Queries with Closed Predicates. -
Test Case Prioritization Using Test Similarities. -
A Graph Based Framework for Malicious Insider Threat Detection. -
Test Prioritization in Continuous Integration Environments. -
Why is unsupervised alignment of English embeddings from different algorithms so hard? -
LIUM-CVC Submissions for WMT18 Multimodal Translation Task. -
Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network. -
Pay One, Get Hundreds for Free: Reducing Cloud Costs through Shared Query Execution. -
Hypergraph Modeling and Visualisation of Complex Co-occurence Networks. -
Linear Temporal Justification Logics with Past Operators. -
Implications of Ocular Pathologies for Iris Recognition Reliability. -
Linear regression analysis of template aging in iris biometrics. -
Benchmarking Cognitive Abilities of the Brain with Computer Games. -
Human Iris Recognition in Post-mortem Subjects: Study and Database. -
Iris Recognition Under Biologically Troublesome Conditions - Effects of Aging, Diseases and Post-mortem Changes. -
MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing. -
Open Data Analytical Model for Human Development Index Optimization to Support Government Policy. -
Exchange-Based Diffusion in Hb-Graphs: Highlighting Complex Relationships. -
Data Dropout: Optimizing Training Data for Convolutional Neural Networks. -
Microsoft's Submission to the WMT2018 News Translation Task: How I Learned to Stop Worrying and Love the Data. -
Dual Conditional Cross-Entropy Filtering of Noisy Parallel Corpora. -
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. -
Assessment of iris recognition reliability for eyes affected by ocular pathologies. -
Post-mortem Human Iris Recognition. -
Cataract influence on iris recognition performance. -
Database of iris images acquired in the presence of ocular pathologies and assessment of iris recognition reliability for disease-affected eyes. -
Iris and periocular recognition in arabian race horses using deep convolutional neural networks. -
Iris Recognition with a Database of Iris Images Obtained in Visible Light Using Smartphone Camera. -
Evaluation of Neural Networks for Image Recognition Applications: Designing a 0-1 MILP Model of a CNN to create adversarials. -
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. -
A Multilingual Information Extraction Pipeline for Investigative Journalism. -
Evaluation of the performance challenges in automatic traffic report generation with huge data volumes. -
Finding the Answers with Definition Models. -
VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes. -
Insider Threat Detection Through Attributed Graph Clustering. -
Content Popularity Prediction Towards Location-Aware Mobile Edge Caching. -
Sleep Stage Classification: Scalability Evaluations of Distributed Approaches. -
Vectorization of Large Amounts of Raster Satellite Images in a Distributed Architecture Using HIPI. -
A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities. -
Activity Recognition on a Large Scale in Short Videos - Moments in Time Dataset. -
Pillar Universities in Russia: The Rise of "the Second Wave". -
Car Monitoring System in Apartment Garages by Small Autonomous Car using Deep Learning. -
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. -
A Contextual-bandit-based Approach for Informed Decision-making in Clinical Trials. -
Stochastic Video Long-term Interpolation. -
Exploring the Limits of Complexity: A Survey of Empirical Studies on Graph Visualisation. -
The Complexity of Leader Election: A Chasm at Diameter Two. -
Learning to Navigate for Fine-grained Classification. -
Opinion Conflicts: An Effective Route to Detect Incivility in Twitter. -
vDLT: A Service-Oriented Blockchain System with Virtualization and Decoupled Management/Control and Execution. -
A Critical Look at Smart Wheelchairs. -
Towards Automated Customer Support. -
Congestion Control for RTP Media: a Comparison on Simulated Environment. -
A Datamining Approach for Emotions Extraction and Discovering Cricketers performance from Stadium to Sensex. -
Secure transmission with covert requirement in untrusted relaying networks. -
Exploring Gap Filling as a Cheaper Alternative to Reading Comprehension Questionnaires when Evaluating Machine Translation for Gisting. -
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective. -
Network Alignment by Discrete Ollivier-Ricci Flow. -
Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet. -
World influence and interactions of universities from Wikipedia networks. -
Future-Prediction-Based Model for Neural Machine Translation. -
Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition. -
Chittron: An Automatic Bangla Image Captioning System. -
Identifying Land Patterns from Satellite Imagery in Amazon Rainforest using Deep Learning. -
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. -
Contextual Neural Model for Translating Bilingual Multi-Speaker Conversations. -
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents. -
A Real-time Control Approach for Unmanned Aerial Vehicles using Brain-computer Interface. -
Development of a Medical Tele-Management System for Post-Discharge Patients of Chronic Diseases in Resource-Constrained Settings. -
Capturing Knowledge Triggering in Collaborative Settings. -
Trivial Transfer Learning for Low-Resource Neural Machine Translation. -
Interference Coordination for Aerial and Terrestrial Nodes in Three-Tier LTE-Advanced HetNet. -
Natural Language Person Search Using Deep Reinforcement Learning. -
Cold-start recommendations in Collective Matrix Factorization. -
Momentum Model-based Minimal Parameter Identification of a Space Robot. -
-
Neural Ranking Models for Temporal Dependency Structure Parsing. -
Post-Quantum Secure Cryptographic Algorithms. -
PlutoAR: An Inexpensive, Interactive And Portable Augmented Reality Based Interpreter For K-10 Curriculum. -
Learning from Demonstration for Hydraulic Manipulators. -
Neural Character-based Composition Models for Abuse Detection. -
Multitask Learning for Fundamental Frequency Estimation in Music. -
Zero-shot User Intent Detection via Capsule Neural Networks. -
MTNT: A Testbed for Machine Translation of Noisy Text. -
Direct coupling coherent quantum observers with discounted mean square performance criteria and penalized back-action. -
A study on users' privacy perception with smart devices. -
Mining Frequent Patterns in Evolving Graphs. -
Online classification of imagined speech using functional near-infrared spectroscopy signals. -
Learning to Navigate Autonomously in Outdoor Environments : MAVNet. -
Visual Transfer between Atari Games using Competitive Reinforcement Learning. -
On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams. -
Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. -
Query Log Compression for Workload Analytics. -
PlayNPort: A Portable Wireless Music Player and Text Reader System. -
Modeling Topical Coherence in Discourse without Supervision. -
Hypernyms Through Intra-Article Organization in Wikipedia. -
Network-Decomposed Hierarchical Cooperation in Ad Hoc Networks With Social Relationships. -
Programmable Memristive Threshold Logic Gate Array. -
Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition. -
Semantic Segmentation of 3D LiDAR Data in Dynamic Scene Using Semi-supervised Learning. -
Two-level Transmission Scheme for Cache-enabled Fog Radio Access Networks. -
Data Augmentation for Neural Online Chat Response Selection. -
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks. -
An Accelerated Method for Message Propagation in Blockchain Networks. -
GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search. -
Delocalisation of one-dimensional marginals of product measures and the capacity of LTI discrete channels. -
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation. -
Reasoning on Adopting OPC UA for an IoT-Enhanced Smart Energy System from a Security Perspective. -
Smart Ticket Protection: An Architecture for Cyber-Protecting Physical Tickets Using Digitally Signed Random Pattern Markers. -
Automated Machine Learning Service Composition. -
Image Segmentation with Pseudo-marginal MCMC Sampling and Nonparametric Shape Priors. -
Prediction of Electric Multiple Unit Fleet Size Based on Convolutional Neural Network. -
Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web. -
LRS3-TED: a large-scale dataset for visual speech recognition. -
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments. -
Deep Learning of Human Perception in Audio Event Classification. -
Improving Convergence Rate Of IC3. -
A logic-algebraic tool for reasoning with Knowledge-Based Systems. -
DeFactoNLP: Fact Verification using Entity Recognition, TFIDF Vector Comparison and Decomposable Attention. -
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. -
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification. -
Deep Room Recognition Using Inaudible Echos. -
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. -
Crowdsourcing Semantic Label Propagation in Relation Classification. -
Multilingual Clustering of Streaming News. -
Machine learning for predicting thermal power consumption of the Mars Express Spacecraft. -
Learning Vision-based Cohesive Flight in Drone Swarms. -
Emergence of Communication in an Interactive World with Consistent Speakers. -
Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence. -
YAC: BFT Consensus Algorithm for Blockchain. -
Fake Cures: User-centric Modeling of Health Misinformation in Social Media. -
Formal Verification of a Geometry Algorithm: A Quest for Abstract Views and Symmetry in Coq Proofs. -
End-to-End Argument Mining for Discussion Threads Based on Parallel Constrained Pointer Architecture. -
ViewpointS: towards a Collective Brain. -
PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. -
Entanglement-assisted quantum codes from Galois LCD codes. -
Prof. CI: Employing Continuous Integration Services and Github Workflows to Teach Test-driven Development. -
Data-to-Text Generation with Content Selection and Planning. -
The Complexity Landscape of Decompositional Parameters for ILP. -
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network. -
Affordance Extraction and Inference based on Semantic Role Labeling. -
IoU is not submodular. -
Adversarial Attack Type I: Generating False Positives. -
Optimization Design of Decentralized Control for Complex Decentralized Systems. -
Agile Metrics for a University Software Engineering Course. -
Image computing for fibre-bundle endomicroscopy: A review. -
Incremental approaches to updating attribute reducts when refining and coarsening coverings. -
Have You Stolen My Model? Evasion Attacks Against Deep Neural Network Watermarking Techniques. -
Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest. -
Networking Research - A Reflection in the Middle Years. -
Deductive Verification of Unmodified Linux Kernel Library Functions. -
The Weighted Barycenter Drawing Recognition Problem. -
ScrumLint: Identifying Violations of Agile Practices Using Development Artifacts. -
Channel Characterization for Chip-scale Wireless Communications within Computing Packages. -
Deep learning for language understanding of mental health concepts derived from Cognitive Behavioural Therapy. -
Typed Linear Algebra for Efficient Analytical Querying. -
Learning Saliency Prediction From Sparse Fixation Pixel Map. -
Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks. -
Automatic Event Salience Identification. -
How Surveys, Tutors, and Software Help to Assess Scrum Adoption in a Classroom Software Engineering Project. -
Towards Dynamic Computation Graphs via Sparse Latent Structure. -
PEP Analysis of Selective Decode and Forward Protocol over Keyhole Fading. -
Barriers in Seamless QoS for Mobile Applications. -
Online Evaluation for Effective Web Service Development. -
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning. -
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension. -
Learned Cardinalities: Estimating Correlated Joins with Deep Learning. -
Cobham's Theorem and Automaticity. -
Diverse and Coherent Paragraph Generation from Images. -
Segmenting and Sequencing of Compliant Motions. -
Convolutional Neural Networkfor Trajectory Prediction. -
Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction. -
Adaptive Monitoring: A Systematic Mapping. -
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset. -
NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification. -
Estimating Small Differences in Car-Pose from Orbits. -
Edit Errors with Block Transpositions: Deterministic Document Exchange Protocols and Almost Optimal Binary Codes. -
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. -
GuessTheKarma: A Game to Assess Social Rating Systems. -
Exhaustive generation for permutations avoiding a (colored) regular sets of patterns. -
IoTDots: A Digital Forensics Framework for Smart Environments. -
A high order hybridizable discontinuous Galerkin method for incompressible miscible displacement in heterogeneous media. -
Information Signal Design for Incentivizing Team Formation. -
Analysis for the Slow Convergence in Arimoto Algorithm. -
End-to-end Multimodal Emotion and Gender Recognition with Dynamic Weights of Joint Loss. -
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model. -
Robust Iris Segmentation Based on Fully Convolutional Networks and Generative Adversarial Networks. -
Transferring Deep Reinforcement Learning with Adversarial Objective and Augmentation. -
A characterization of the consistent Hoare powerdomains over dcpos. -
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing. -
Deep Smoke Segmentation. -
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track. -
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization. -
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. -
Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction. -
Adelic Extension Classes, Atiyah Bundles and Non-Commutative Codes. -
A comparative study of top-k high utility itemset mining methods. -
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. -
Plastic Waste is Exponentially Filling our Oceans, but where are the Robots? -
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. -
Software Professionals' Attitudes towards Video as a Medium in Requirements Engineering. -
A Novel A Priori Simulation Algorithm for Absorbing Receivers in Diffusion-Based Molecular Communication Systems. -
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services. -
RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes. -
The MISRA C Coding Standard and its Role in the Development and Analysis of Safety- and Security-Critical Embedded Software. -
More is Less: Perfectly Secure Oblivious Algorithms in the Multi-Server Setting. -
On the Tasks and Characteristics of Product Owners: A Case Study in the Oil & Gas Industry. -
Improving the Expressiveness of Deep Learning Frameworks with Recursion. -
A Recurrent Neural Network for Sentiment Quantification. -
Metabolize Neural Network. -
Framework for Discrete Rate Transmission in Buffer-Aided Underlay CRN With Direct Path. -
Music Sequence Prediction with Mixture Hidden Markov Models. -
Towards Understanding Regularization in Batch Normalization. -
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories. -
Soft-PHOC Descriptor for End-to-End Word Spotting in Egocentric Scene Images. -
Non-monotonic Reasoning in Deductive Argumentation. -
Software Process Measurement and Related Challenges in Agile Software Development: A Multiple Case Study. -
Handwriting styles: benchmarks and evaluation metrics. -
Private Information Retrieval From a Cellular Network With Caching at the Edge. -
Assessment and support of emerging research groups. -
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks. -
MesoNet: a Compact Facial Video Forgery Detection Network. -
Error Performance of Various QAM Schemes for Nonrenegerative Cooperative MIMO Network with Transmit Antenna Selection. -
A Simple and Practical Concurrent Non-blocking Unbounded Graph with Reachability Queries. -
Image Reassembly Combining Deep Learning and Shortest Path Problem. -
Parity Crowdsourcing for Cooperative Labeling. -
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation. -
Bangla License Plate Recognition Using Convolutional Neural Networks (CNN). -
Treewidth of display graphs: bounds, brambles and applications. -
Automated Instruction Stream Throughput Prediction for Intel and AMD Microarchitectures. -
OCNet: Object Context Network for Scene Parsing. -
Segmentation-free compositional n-gram embedding. -
User-centric Privacy Engineering for the Internet of Things. -
A Neural Network Model for Determining the Success or Failure of High-tech Projects Development: A Case of Pharmaceutical industry. -
Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home. -
EEG-Based Driver Drowsiness Estimation Using Convolutional Neural Networks. -
Lifted Projective Reed-Solomon Codes. -
Faster Balanced Clusterings in High Dimension. -
A Deep Neural Network Sentence Level Classification Method with Context Information. -
Improving generalization of vocal tract feature reconstruction: from augmented acoustic inversion to articulatory feature reconstruction without articulatory data. -
Decentralized Search on Decentralized Web. -
Noisy Voronoi: a Simple Framework for Terminal-Clustering Problems. -
Twin-GAN - Unpaired Cross-Domain Image Translation with Weight-Sharing GANs. -
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. -
Task adapted reconstruction for inverse problems. -
Automating Analysis of Construction Workers Viewing Patterns for Personalized Safety Training and Management. -
Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera. -
Matrix Difference in Pose-Graph Optimization. -
Deep Learning Based Vehicle Make-Model Classification. -
A class of orders with linear? time sorting algorithm. -
Road User Abnormal Trajectory Detection using a Deep Autoencoder. -
Targeted Nonlinear Adversarial Perturbations in Images and Videos. -
Translating C programs to MSVL programs. -
Organ at Risk Segmentation in Head and Neck CT Images by Using a Two-Stage Segmentation Framework Based on 3D U-Net. -
MSCE: An edge preserving robust loss function for improving super-resolution algorithms. -
Blind Ptychography by Douglas-Rachford Splitting. -
Energy-Efficient Mobile-Edge Computation Offloading for Applications with Shared Data. -
A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation. -
Iterative multi-path tracking for video and volume segmentation with sparse point supervision. -
Migrating Knowledge between Physical Scenarios based on Artificial Neural Networks. -
Performing energy modelling exercises in a transparent way the issue of data quality in power plant databases. -
Minimum Violation Control Synthesis on Cyber-Physical Systems under Attacks. -
Language Interoperability in Control Network Programming. -
DeepFall - Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders. -
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation. -
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification. -
Wavelet based edge feature enhancement for convolutional neural networks. -
The materials data ecosystem: materials data science and its role in data-driven materials discovery. -
Trends in smart lighting for the Internet of Things. -
Dynamic Psychological Game Theory for Secure Internet of Battlefield Things (IoBT) Systems. -
Étude de l'informativité des transcriptions : une approche basée sur le résumé automatique. -
Towards Large Scale Training Of Autoencoders For Collaborative Filtering. -
Bayesian Outdoor Defect Detection. -
JuncNet: A Deep Neural Network for Road Junction Disambiguation for Autonomous Vehicles. -
Automated segmentation on the entire cardiac cycle using a deep learning work-flow. -
Geometric Operator Convolutional Neural Network. -
Aesthetic Discrimination of Graph Layouts. -
Parameter Transfer Extreme Learning Machine based on Projective Model. -
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization. -
Computing optimal discrete readout weights in reservoir computing is NP-hard. -
A Neural Network Aided Approach for LDPC Coded DCO-OFDM with Clipping Distortion. -
Constructing Trustworthy and Safe Communities on a Blockchain-Enabled Social Credits System. -
A Roadmap for the Value-Loading Problem. -
Iris recognition in cases of eye pathology. -
Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed Software Defined Networks. -
The Effect of Context on Metaphor Paraphrase Aptness Judgments. -
JobComposer: Career Path Optimization via Multicriteria Utility Learning. -
Optimal Steerable mmWave Mesh Backhaul Reconfiguration. -
The Effect of Time Delay on the Average Data Rate and Performance in Networked Control Systems. -
A Novel Neural Sequence Model with Multiple Attentions for Word Sense Disambiguation. -
Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard. -
Chi-Square Test Neural Network: A New Binary Classifier based on Backpropagation Neural Network. -
IEST: WASSA-2018 Implicit Emotions Shared Task. -
Fair Dynamic Spectrum Management in Licensed Shared Access Systems. -
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. -
Adversarial Attacks on Node Embeddings. -
An automatic tool for checking multi-party contracts. -
Text2Scene: Generating Abstract Scenes from Textual Descriptions. -
-
VideoMatch: Matching based Video Object Segmentation. -
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering. -
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation. -
Automated bird sound recognition in realistic settings. -
"This is why we play": Characterizing Online Fan Communities of the NBA Teams. -
DeepPINK: reproducible feature selection in deep neural networks. -
Challenges of capturing engagement on Facebook for Altmetrics. -
Causal Explanation Analysis on Social Media. -
SOS lower bounds with hard constraints: think global, act local. -
Generating More Interesting Responses in Neural Conversation Models with Distributional Constraints. -
Graph-based Deep-Tree Recursive Neural Network (DTRNN) for Text Classification. -
Vulcan: A Monte Carlo Algorithm for Large Chance Constrained MDPs with Risk Bounding Functions. -
CIDPro: Custom Instructions for Dynamic Program Diversification. -
Compositional Stochastic Average Gradient for Machine Learning and Related Applications. -
Optimal merging from an on-ramp into a high-speed lane dedicated to connected autonomous vehicles. -
t-Exponential Memory Networks for Question-Answering Machines. -
Small-signal Stability Analysis and Performance Evaluation of Microgrids under Distributed Control. -
Deep Priority Hashing. -
Optimized edge-based grasping method for a cluttered environment. -
Maximizing net income of the auction waterfall with an abort decision tree. -
Fast and Accurate Graph Stream Summarization. -
Collaborative Artificial Intelligence (AI) for User-Cell association in Ultra-Dense Cellular Systems. -
Gender differences in research areas and topics: An analysis of publications in 285 fields. -
Coverage-Guided Fuzzing for Deep Neural Networks. -
Developing a Purely Visual Based Obstacle Detection using Inverse Perspective Mapping. -
A Framework for Robust Assimilation of Potentially Malign Third-Party Data, and its Statistical Meaning. -
Unsupervised Statistical Machine Translation. -
Learning Concept Abstractness Using Weak Supervision. -
FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media. -
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. -
BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis. -
Secure Transmit Antenna Selection Protocol for MIMO NOMA Networks over Nakagami-m Channels. -
Randomized Incremental Construction of Net-Trees. -
Learning User Preferences and Understanding Calendar Contexts for Event Scheduling. -
Reconstruction and Registration of Large-Scale Medical Scene Using Point Clouds Data from Different Modalities. -
Multi-Client Order-Revealing Encryption. -
Joint Trajectory and Resource Allocation Design for UAV Communication Systems. -
An Efficient Framework for Concurrent Execution of Smart Contracts. -
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency. -
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions. -
Neural MultiVoice Models for Expressing Novel Personalities in Dialog. -
Distributed-Memory Forest-of-Octrees Raycasting. -
A Threat Modeling Framework for Evaluating Computing Platforms Against Architectural Attacks. -
Localizing Moments in Video with Temporal Language. -
Embedding Multimodal Relational Data for Knowledge Base Completion. -
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach. -
IKA: Independent Kernel Approximator. -
Semantic Human Matting. -
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference. -
Toward Validation of Textual Information Retrieval Techniques for Software Weaknesses. -
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. -
FlipTracker: Understanding Natural Error Resilience in HPC Applications. -
Towards a Better Match in Siamese Network Based Visual Object Tracker. -
Towards quantitative methods to assess network generative models. -
Temporally Coherent Video Harmonization Using Adversarial Networks. -
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell. -
Image Manipulation with Perceptual Discriminators. -
Power Flow Analysis Using Graph based Combination of Iterative Methods and Vertex Contraction Approach. -
Heterogeneous Non-Orthogonal Multiple Access for Ultra-Reliable and Broadband Services in Multi-Cell Fog-RAN. -
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition. -
Generating Highly Realistic Images of Skin Lesions with GANs. -
Exploration of Bi-Level PageRank Algorithm for Power Flow Analysis Using Graph Database. -
An Elementary Proof of a Classical Information-Theoretic Formula. -
Intelligent Reflecting Surface Enhanced Wireless Network: Joint Active and Passive Beamforming Design. -
Repetition avoidance in products of factors. -
Covariance and Controvariance: a fresh look at an old issue (a primer in advanced type systems for learning functional programmers). -
Wireless Powered User Cooperative Computation in Mobile Edge Computing Systems. -
Pre-training on high-resource speech recognition improves low-resource speech-to-text translation. -
Modeling the EM Field Distribution within a Computer Chip Package. -
Stellar Cluster Detection using GMM with Deep Variational Autoencoder. -
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification. -
How is Contrast Encoded in Deep Neural Networks? -
Data Augmentation for Skin Lesion Analysis. -
Conditional Transfer with Dense Residual Attention: Synthesizing traffic signs from street-view imagery. -
Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit. -
Appendix - Recommended Statistical Significance Tests for NLP Tasks. -
Sentylic at IEST 2018: Gated Recurrent Neural Network and Capsule Network Based Approach for Implicit Emotion Detection. -
Blur-Countering Keypoint Detection via Eigenvalue Asymmetry. -
Theoretical analysis and propositions for "ontology citation". -
Deep Bilevel Learning. -
Chest X-ray Inpainting with Deep Generative Models. -
A Supervised Learning Approach For Heading Detection. -
Weakly-Supervised Neural Text Classification. -
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification. -
Geodesic farthest-point Voronoi diagram in linear time. -
Blind Community Detection from Low-rank Excitations of a Graph Filter. -
Interpretation of Natural Language Rules in Conversational Machine Reading. -
A Reinforcement Learning-driven Translation Model for Search-Oriented Conversational Systems. -
Learning Gender-Neutral Word Embeddings. -
Chinese Discourse Segmentation Using Bilingual Discourse Commonality. -
Skip-gram word embeddings in hyperbolic space. -
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. -
Neural DrugNet. -
On Secure Mixed RF-FSO Systems With TAS and Imperfect CSI. -
Deep Reinforcement Learning in High Frequency Trading. -
Preserving Order of Data When Validating Defect Prediction Models. -
Bounds on the Error Probability of Raptor Codes under Maximum Likelihood Decoding. -
Modeling human intuitions about liquid flow with particle-based simulation. -
Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models. -
A Local Lemma for Focused Stochastic Algorithms. -
Fail-Stop Group Signature Scheme. -
Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding. -
CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions. -
Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling. -
Reinforcement Learning under Threats. -
Learning 6-D compliant motion primitives from demonstration. -
Probabilistic Modeling and Inference for Obfuscated Cyber Attack Sequences. -
Debiasing Desire: Addressing Bias & Discrimination on Intimate Platforms. -
Traffic Density Estimation using a Convolutional Neural Network. -
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? -
Stance Prediction for Russian: Data and Analysis. -
Bounded Rational Decision-Making with Adaptive Neural Network Priors. -
Document-Level Neural Machine Translation with Hierarchical Attention Networks. -
From Bayesian Inference to Logical Bayesian Inference: A New Mathematical Frame for Semantic Communication and Machine Learning. -
Telexistence and Teleoperation for Walking Humanoid Robots. -
Recommender Systems with Characterized Social Regularization. -
Multimodal Dialogue Management for Multiparty Interaction with Infants. -
Classification Algorithms for Semi-Blind Uplink/Downlink Decoupling in sub-6 GHz/mmWave 5G Networks. -
GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation. -
Bicomp: A Bilayer Scalable Nakamoto Consensus Protocol. -
Massive MIMO Channel Estimation for Millimeter Wave Systems via Matrix Completion. -
Merging datasets through deep learning. -
Anomaly Detection in the Presence of Missing Values. -
Synthesizing Adaptive Test Strategies from Temporal Logic Specifications. -
Bimodal network architectures for automatic generation of image annotation from text. -
Blockmania: from Block DAGs to Consensus. -
An Algebra of Lightweight Ontologies. -
Ranking RDF Instances in Degree-decoupled RDF Graphs. -
Online local pool generation for dynamic classifier selection: an extended version. -
Efficient Egocentric Visual Perception Combining Eye-tracking, a Software Retina and Deep Learning. -
A Differentially Private Wilcoxon Signed-Rank Test. -
Web Based Information System for Heat Supply Monitoring. -
A Quantitative Approach to Understanding Online Antisemitism. -
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency. -
Current potentials and challenges using Sentinel-1 for broadacre field remote sensing. -
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks - Part I: Intra-Layer Dynamics and Selective Inhibition. -
Measures of Cluster Informativeness for Medical Evidence Aggregation and Dissemination. -
Deep Relevance Ranking Using Enhanced Document-Query Interactions. -
Breast Mass Segmentation and Shape Classification in Mammograms Using Deep Neural Networks. -
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction. -
TVQA: Localized, Compositional Video Question Answering. -
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition. -
Pack and Detect: Fast Object Detection in Videos Using Region-of-Interest Packing. -
Design and Realization of Intersection Traffic Control Simulation System Using Connected Vehicle Technology. -
Hyperbolic Recommender Systems. -
Real-time Optimal Resource Allocation for Embedded UAV Communication Systems. -
Controlled Random Search Improves Sample Mining and Hyper-Parameter Optimization. -
Bridging machine learning and cryptography in defence against adversarial attacks. -
The Multilinear Minimax Relaxation of Bimatrix Games and Comparison with Nash Equilibria via Lemke-Howson. -
Extending Mandelbox Fractals with Shape Inversions. -
Three-Stage Speaker Verification Architecture in Emotional Talking Environments. -
Neural Comic Style Transfer: Case Study. -
Deep Joint Source-Channel Coding for Wireless Image Transmission. -
Recovering a Single Community with Side Information. -
A deep learning approach for Magnetic Resonance Fingerprinting. -
Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges. -
Token Curated Registries - A Game Theoretic Approach. -
Multi-finger binary search trees. -
An Analysis of Hierarchical Text Classification Using Word Embeddings. -
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis. -
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters. -
MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection. -
One-Shot Variable-Length Secret Key Agreement Approaching Mutual Information. -
Information-Theoretic Privacy in Distributed Average Consensus. -
Describing a Knowledge Base. -
A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders. -
Discovering Influential Factors in Variational Autoencoder. -
Improbotics: Exploring the Imitation Game using Machine Intelligence in Improvised Theatre. -
Security Metrics of Networked Control Systems under Sensor Attacks (extended preprint). -
Interpretable Visual Question Answering by Reasoning on Dependency Trees. -
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency. -
Visual Coreference Resolution in Visual Dialog using Neural Module Networks. -
Improving Explorability in Variational Inference with Annealed Variational Objectives. -
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data. -
Driving Experience Transfer Method for End-to-End Control of Self-Driving Cars. -
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. -
Improving Development Practices through Experimentation: an Industrial TDD Case. -
Adversarial Reprogramming of Sequence Classification Neural Networks. -
How to Combine Tree-Search Methods in Reinforcement Learning. -
Unsupervised Learning of View-invariant Action Representations. -
Yes, IoU loss is submodular - as a function of the mispredictions. -
Determination of Stationary Points and Their Bindings in Dataset using RBF Methods. -
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. -
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing. -
Deep Learning-Based Decoding for Constrained Sequence Codes. -
LMMSE Receivers in Uplink Massive MIMO Systems with Correlated Rician Fading. -
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework. -
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks. -
Efficient Loop Detection in Forwarding Networks and Representing Atoms in a Field of Sets. -
Propheticus: Generalizable Machine Learning Framework. -
A "poor man's" approach to topology optimization of natural convection problems. -
Model-Based Stabilisation of Deep Reinforcement Learning. -
Hands-on Experience with Gaussian Processes (GPs): Implementing GPs in Python - I. -
RDPD: Rich Data Helps Poor Data via Imitation. -
Disentangled Variational Representation for Heterogeneous Face Recognition. -
Standards of Validity and the Validity of Standards in Behavioral Software Engineering Research: The Perspective of Psychological Test Theory. -
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. -
A tutorial on Particle Swarm Optimization Clustering. -
Cascaded Mutual Modulation for Visual Reasoning. -
Analyzing and improving maximal attainable accuracy in the communication hiding pipelined BiCGStab method. -
Sparsity Analysis of a Sonomyographic Muscle-Computer Interface. -
Safe Execution of Concurrent Programs by Enforcement of Scheduling Constraints. -
Code-switched Language Models Using Dual RNNs and Same-Source Pretraining. -
Named Entity Recognition on Noisy Data using Images and Text (1-page abstract). -
Visions and Challenges in Managing and Preserving Data to Measure Quality of Life. -
Training Millions of Personalized Dialogue Agents. -
Pore detection in high-resolution fingerprint images using Deep Residual Network. -
Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks. -
Evaluation Measures for Quantification: An Axiomatic Approach. -
Dense Pose Transfer. -
Dual Ask-Answer Network for Machine Reading Comprehension. -
Min (A)cyclic Feedback Vertex Sets and Min Ones Monotone 3-SAT. -
Recurrent World Models Facilitate Policy Evolution. -
3D Surface Reconstruction by Pointillism. -
Robust H-infinity Adaptive Fuzzy Approach for Unknown Nonlinear Networked Systems. -
Dynamic Bayesian Games for Adversarial and Defensive Cyber Deception. -
Robust Signaling for Bursty Interference. -
Satellite Capture and Servicing Using Networks of Tethered Robots Supported by Ground Surveillance. -
Planning with Arithmetic and Geometric Attributes. -
Latent Molecular Optimization for Targeted Therapeutic Design. -
Evaluating Syntactic Properties of Seq2seq Output with a Broad Coverage HPSG: A Case Study on Machine Translation. -
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks. -
On-Orbit Smart Camera System to Observe Illuminated and Unilluminated Space Objects. -
Oblique Stripe Removal in Remote Sensing Images via Oriented Variation. -
Eigenvalue analogy for confidence estimation in item-based recommender systems. -
Surface Light Field Fusion. -
Memory Replay GANs: learning to generate images from new categories without forgetting. -
Sample-Efficient Imitation Learning via Generative Adversarial Nets. -
Two Dimensional Stochastic Configuration Networks for Image Data Analytics. -
Deep learning for in vitro prediction of pharmaceutical formulations. -
ARCHER: Aggressive Rewards to Counter bias in Hindsight Experience Replay. -
Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector. -
Emergence of Human-comparable Balancing Behaviors by Deep Reinforcement Learning. -
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection. -
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models. -
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation. -
Are adversarial examples inevitable? -
A Memory-Network Based Solution for Multivariate Time-Series Forecasting. -
Deep Audio-Visual Speech Recognition. -
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network. -
ANS: Adaptive Network Scaling for Deep Rectifier Reinforcement Learning Models. -
Agile meets Assessments: Case Study on how to do Agile Process Improvement in a Very Small Enterprise. -
A Low Complexity Detection Algorithm Based on Alternating Minimization. -
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. -
Labeling Panoramas with Spherical Hourglass Networks. -
Structural Consistency and Controllability for Diverse Colorization. -
Deep neural network marketplace recommenders in online experiments. -
Five lessons from building a deep neural network recommender. -
GANs beyond divergence minimization. -
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit. -
A Topological Kinematic Workspace Analysis of the Canfield Joint. -
End-to-End Analysis of In-Browser Cryptojacking. -
Object Hallucination in Image Captioning. -
DRAG: Deep Reinforcement Learning Based Base Station Activation in Heterogeneous Networks. -
Future Directions for Optimizing Compilers. -
Escaping Saddle Points in Constrained Optimization. -
Deep Learning for Generic Object Detection: A Survey. -
A Benchmarking of DCM Based Architectures for Position and Velocity Controlled Walking of Humanoid Robots. -
Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings. -
Multi-Adversarial Domain Adaptation. -
Differentially Private Bayesian Inference for Exponential Families. -
Logical Rule Induction and Theory Learning Using Neural Theorem Proving. -
Issues Encountered Deploying Differential Privacy. -
Stochastic Geometry Interference Analysis of Radar Network Performance. -
Challenges of Context and Time in Reinforcement Learning: Introducing Space Fortress as a Benchmark. -
Assessing Gender Bias in Machine Translation - A Case Study with Google Translate. -
ProdSumNet: reducing model parameters in deep neural networks via product-of-sums matrix decompositions. -
2PFPCE: Two-Phase Filter Pruning Based on Conditional Entropy. -
Character-Aware Decoder for Neural Machine Translation. -
Content-based Propagation of User Markings for Interactive Segmentation of Patterned Images. -
Adaptive Strategic Cyber Defense for Advanced Persistent Threats in Critical Infrastructure Networks. -
Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis. -
Deep Neural Net with Attention for Multi-channel Multi-touch Attribution. -
Distributed and Optimal Resilient Planning of Large-Scale Interdependent Critical Infrastructures. -
Automated Game Design via Conceptual Expansion. -
Slotted ALOHA Overlay on LoRaWAN: a Distributed Synchronization Approach. -
Analyzing Privacy Policies Using Contextual Integrity Annotations. -
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models. -
Hypergames and Cyber-Physical Security for Control Systems. -
Learning Optimal Fair Policies. -
Adversarial Domain Adaptation for Duplicate Question Detection. -
Multi-Source Domain Adaptation with Mixture of Experts. -
Representing Images in 200 Bytes: Compression via Triangulation. -
The Force of Proof by Which Any Argument Prevails. -
BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images. -
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks. -
edge2vec: Learning Node Representation Using Edge Semantics. -
Learning Embeddings of Directed Networks with Text-Associated Nodes - with Applications in Software Package Dependency Networks. -
Approximation algorithms for stochastic clustering. -
Optimal Relaying Beamforming in Multiple Access Broadcast Channel (MABC) Bidirectional Cognitive Radio Networks in Presence of Interferers. -
Local Music Event Recommendation with Long Tail Artists. -
Cell-aware Stacked LSTMs for Modeling Sentences. -
Nash Equilibrium in Smoothed Polynomial Time for Network Coordination Games. -
Evolutionary Centrality and Maximal Cliques in Mobile Social Networks. -
Relational Program Synthesis. -
Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations. -
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion. -
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. -
Playing with Matches: Vehicular Mobility through Analysis of Trip Similarity and Matching. -
Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. -
Data Augmentation for Spoken Language Understanding via Joint Variational Generation. -
Unsupervised Cross-lingual Word Embedding by Multilingual Neural Language Models. -
Fast greedy algorithms for dictionary selection with generalized sparsity constraints. -
QoS aware Automatic Web Service Composition with Multiple objectives. -
Scaling Video Analytics Systems to Large Camera Deployments. -
Collision Free Navigation of a Multi-Robot Team for Intruder Interception. -
ADM for grid CRF loss in CNN segmentation. -
Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. -
Information-Theoretic Active Learning for Content-Based Image Retrieval. -
Exploiting local and global performance of candidate systems for aggregation of summarization techniques. -
Hierarchical Characteristic Set Merging for Optimizing SPARQL Queries in Heterogeneous RDF. -
FRESH: Fréchet Similarity with Hashing. -
Non-Technical Individual Skills are Weakly Connected to the Maturity of Agile Practices. -
Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images. -
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. -
On2Vec: Embedding-based Relation Prediction for Ontology Population. -
A simple probabilistic deep generative model for learning generalizable disentangled representations from grouped data. -
Improving On-policy Learning with Statistical Reward Accumulation. -
Improving Neural Question Generation using Answer Separation. -
Deep Feature Learning of Multi-Network Topology for Node Classification. -
Sampling-based optimal kinodynamic planning with motion primitives. -
Deep Recurrent Survival Analysis. -
Performance Analysis of MRC under Spatially Correlated Interference using Mixture-based Method. -
Where Do All These Search Terms Come From? - Two Experiments in Domain-Specific Search. -
Term-Mouse-Fixations as an Additional Indicator for Topical User Interests in Domain-Specific Search. -
Data Requirements for Evaluation of Personalization of Information Retrieval - A Position Paper. -
Challenges for Measuring Usefulness of Interactive IR Systems with Log-based Approaches. -
Proceedings Ninth International Symposium on Games, Automata, Logics, and Formal Verification, GandALF 2018, Saarbrücken, Germany, 26-28th September 2018. EPTCS 277, 2018 [contents] -
Design Automation for Adiabatic Circuits. -
Multitask and Multilingual Modelling for Lexical Analysis. -
Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations. -
Top-k Overlapping Densest Subgraphs: Approximation and Complexity. -
Dynamic Mutant Subsumption Analysis using LittleDarwin. -
On Underlay-Aware Self-Stabilizing Overlay Networks. -
Optimizing deep video representation to match brain activity. -
HC-Net: Memory-based Incremental Dual-Network System for Continual learning. -
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer. -
Secure Generators of q-valued Pseudo-Random Sequences on Arithmetic Polynomials. -
Sub-6GHz Assisted MAC for Millimeter Wave Vehicular Communications. -
Protection of Information from Imitation on the Basis of Crypt-Code Structures. -
An Analytical Design Optimization Method for Electric Propulsion Systems of Multicopter UAVs with Desired Hovering Endurance. -
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System. -
BiasedWalk: Biased Sampling for Representation Learning on Graphs. -
On the Importance of Visual Context for Data Augmentation in Scene Understanding. -
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks - Part II: Inter-Layer Dynamics and Top-Down Recruitment. -
Meteorologists and Students: A resource for language grounding of geographical descriptors. -
Sparse Kernel PCA for Outlier Detection. -
MixUp as Locally Linear Out-Of-Manifold Regularization. -
Streaming dictionary matching with mismatches. -
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data. -
Using Sparse Semantic Embeddings Learned from Multimodal Text and Image Data to Model Human Conceptual Knowledge. -
A Deeper Look at 3D Shape Classifiers. -
Generalized weak rigidity: Theory, and local and global convergence of formations. -
Skin lesion classification with ensemble of squeeze-and-excitation networks and semi-supervised learning. -
The largest cognitive systems will be optoelectronic. -
Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. -
Differentially Private Continual Release of Graph Statistics. -
Self-Supervised Generation of Spatial Audio for 360 Video. -
HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification. -
Learning Invariances for Policy Generalization. -
Logographic Subword Model for Neural Machine Translation. -
Towards a distributed and real-time framework for robots: Evaluation of ROS 2.0 communications for real-time robotic applications. -
Mobility-Aware Resource Allocation in VLC Networks Using T-Step Look-Ahead Policy. -
Simple coarse graining and sampling strategies for image recognition. -
Accelerating Deep Neural Networks with Spatial Bottleneck Modules. -
Cyber-Security in Smart Grid: Survey and Challenges. -
Machine Learning Methods for Network Intrusion Detection. -
Exploiting SNMP-MIB Data to Detect Network Anomalies using Machine Learning Techniques. -
GANs for generating EFT models. -
Hybrid Statistical Estimation of Mutual Information and its Application to Information Flow. -
Unity: A General Platform for Intelligent Agents. -
Synesthesia: Detecting Screen Content via Remote Acoustic Side Channels. -
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders. -
Pushing the Limits of Encrypted Databases with Secure Hardware. -
Parameterized algorithm for 3-path vertex cover. -
Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features. -
Model of Cognitive Dynamics Predicts Performance on Standardized Tests. -
A Transfer-Learnable Natural Language Interface for Databases. -
Reservoir Computing based Neural Image Filters. -
Are You Sure You Want To Do That? Classification with Verification. -
Complexity of MLDP. -
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning. -
Revisiting Call-by-value Bohm trees in light of their Taylor expansion. -
DreamNLP: Novel NLP System for Clinical Report Metadata Extraction using Count Sketch Data Streaming Algorithm: Preliminary Results. -
A general-purpose hierarchical mesh partitioning method with node balancing strategies for large-scale numerical simulations. -
Unsupervised Sentence Compression using Denoising Auto-Encoders. -
Automating Truth: The Case for Crowd-Powered Scientific Investigation in Economics. -
Migration as Submodular Optimization. -
Multiple Access in Cellular V2X: Performance Analysis in Highly Congested Vehicular Networks. -
When Hashing Met Matching: Efficient Search for Potential Matches in Ride Sharing. -
Open Set Adversarial Examples. -
Coherence-Aware Neural Topic Modeling. -
Dynamic Resource Allocation in the Cloud with Near-Optimal Efficiency. -
Selective Refinement Network for High Performance Face Detection. -
Neural Machine Translation of Logographic Languages Using Sub-character Level Information. -
Optimizing CNN Model Inference on CPUs. -
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts. -
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions. -
Empirical Vulnerability Analysis of Automated Smart Contracts Security Testing on Blockchains. -
Torpid Mixing of Markov Chains for the Six-vertex Model on ℤ2. -
Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms. -
Adaptive Edge Features Guided Graph Attention Networks. -
The Partition Spanning Forest Problem. -
BLAG: Bandit On Large Action Set Graph. -
On-line tracing of XACML-based policy coverage criteria. -
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking. -
On Coding over Sliced Information. -
Cost Sharing in Two-Sided Markets. -
What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks. -
Learning to Solve NP-Complete Problems - A Graph Neural Network for the Decision TSP. -
An automated model-based test oracle for access control systems. -
Surface MIMO: Using Conductive Surfaces For MIMO Between Small Devices. -
Decentralized Differentially Private Without-Replacement Stochastic Gradient Descent. -
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data. -
Exploiting Invertible Decoders for Unsupervised Sentence Representation Learning. -
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation. -
Joint Autoregressive and Hierarchical Priors for Learned Image Compression. -
Ensembles of Nested Dichotomies with Multiple Subset Evaluation. -
RealPoint3D: Point Cloud Generation from a Single Image with Complex Background. -
On the Calibration of Nested Dichotomies for Large Multiclass Tasks. -
Molecular Hypergraph Grammar with its Application to Molecular Optimization. -
Typed Table Transformations. -
Ultimate Boundedness for Switched Systems with Multiple Equilibria Under Disturbances. -
Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning. -
A Game Theoretic Macroscopic Model of Bypassing at Traffic Diverges with Applications to Mixed Autonomy Networks. -
Exploration on Grounded Word Embedding: Matching Words and Images with Image-Enhanced Skip-Gram Model. -
CNNs for Surveillance Footage Scene Classification. -
Generating Distractors for Reading Comprehension Questions from Real Examinations. -
Weak Control for Human-in-the-loop Systems. -
Instance-based Deep Transfer Learning. -
Improving Wireless Physical Layer Security via D2D Communication. -
Affine Sessions. -
Sentiment analysis for Arabic language: A brief survey of approaches and techniques. -
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples. -
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering. -
Simplified Hierarchical Recurrent Encoder-Decoder for Building End-To-End Dialogue Systems. -
Adversarial Learning for Image Forensics Deep Matching with Atrous Convolution. -
Fully-Functional Suffix Trees and Optimal Text Searching in BWT-runs Bounded Space. -
Explicit Contextual Semantics for Text Comprehension. -
Attentive Semantic Role Labeling with Boundary Indicator. -
Video Smoke Detection Based on Deep Saliency Network. -
Handling Concept Drift via Model Reuse. -
Faithful Multimodal Explanation for Visual Question Answering. -
A conjecture on permutation trinomials over finite fields of characteristic two. -
Multi-label Classification of User Reactions in Online News. -
SOTorrent: Studying the Origin, Evolution, and Usage of Stack Overflow Code Snippets. -
Extracting and Analyzing Semantic Relatedness between Cities Using News Articles. -
A natural language processing and geospatial clustering framework for harvesting local place names from geotagged housing advertisements. -
Performance Analysis of a System with Bursty Traffic and Adjustable Transmission Times. -
Delay-Constrained Input-Queued Switch. -
Multitasking Capacity: Hardness Results and Improved Constructions. -
Context-Free Transductions with Neural Stacks. -
Non-Parametric Variational Inference with Graph Convolutional Networks for Gaussian Processes. -
-
Neural Guided Constraint Logic Programming for Program Synthesis. -
Resolution and the binary encoding of combinatorial principles. -
Seeing the Wood for the Trees: Reliable Localization in Urban and Natural Environments. -
Interpreting Neural Networks With Nearest Neighbors. -
Rate-Adaptive Neural Networks for Spatial Multiplexers. -
Online Mutual Foreground Segmentation for Multispectral Stereo Videos. -
Learning Sports Camera Selection from Internet Videos. -
iDriveSense: Dynamic Route Planning Involving Roads Quality Information. -
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. -
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. -
A survey of food recommenders. -
Online Adaptive Methods, Universality and Acceleration. -
A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications. -
Modelling User's Theory of AI's Mind in Interactive Intelligent Systems. -
Brain Morphometry Analysis with Surface Foliation Theory. -
Unsupervised Person Re-identification by Deep Learning Tracklet Association. -
A Supervised Learning Methodology for Real-Time Disguised Face Recognition in the Wild. -
PhaseLink: A Deep Learning Approach to Seismic Phase Association. -
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection. -
Accelerating Viterbi Algorithm using Custom Instruction Approach. -
Lost in the Digital Wild: Hiding Information in Digital Activities. -
Directional Frame Timing Synchronization in Wideband Millimeter-Wave Systems with Low-Resolution ADCs. -
Stable Stair-Climbing of a Quadruped Robot. -
Dependency Graph Approach for Multiprocessor Real-Time Synchronization. -
Outage Probability Analysis of Uplink NOMA over Ultra-High-Speed FSO-Backhauled Systems. -
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries. -
A Continuous Information Gain Measure to Find the Most Discriminatory Problems for AI Benchmarking. -
Elliptical Distributions-Based Weights-Determining Method for OWA Operators. -
Mammalian Brain Inspired Localization Algorithms with von Mises Distributions. -
Hybrid Pricing for Mobile Collaborative Internet Access. -
Personalizing Fairness-aware Re-ranking. -
Transforming Question Answering Datasets Into Natural Language Inference Datasets. -
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning. -
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning. -
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real. -
From Recommendation Systems to Facility Location Games. -
Automated Strabismus Detection based on Deep neural networks for Telemedicine Applications. -
Well Quasiorders and Hierarchy Theory. -
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information. -
Fitting a Graph to One-Dimensional Data. -
What indicators matter? The Analysis of Perception toward Research Assessment Indicators and Leiden Manifesto- The Case Study of Taiwan. -
External Force Field Modeling for Autonomous Surface Vehicles. -
Strong Coresets for k-Median and Subspace Approximation: Goodbye Dimension. -
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. -
Geometry-Aware Face Completion and Editing. -
Time-universal data compression and prediction. -
Age of Information in Poisson Networks. -
Dual Attention Network for Scene Segmentation. -
Simultaneous Localization and Mapping (SLAM) using RTAB-MAP. -
Speeding Up Neural Machine Translation Decoding by Cube Pruning. -
On Solving Linear Systems in Sublinear Time. -
Evidence-based lean logic profiles for conceptual data modelling languages. -
Distribution-aware Block-sparse Recovery via Convex Optimization. -
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability. -
A novel method of speech information hiding based on 3D-Magic Matrix. -
Online Learning for Position-Aided Millimeter Wave Beam Training. -
Can Neural Generators for Dialogue Learn Sentence Planning and Discourse Structuring? -
Fingertip Detection and Tracking for Recognition of Air-Writing in Videos. -
Stochastic Gradient Descent Learns State Equations with Nonlinear Activations. -
Development of a Social Network for Research Support and Individual Well-being Improvement. -
A Public-Key Cryptosystem from Interleaved Goppa Codes. -
A Neural Temporal Model for Human Motion Prediction. -
Fairness-Aware Recommendation of Information Curators. -
How clever is the FiLM model, and how clever can it be? -
A Social Recommender System based on Bhattacharyya Coefficient. -
Clustering of graph vertex subset via Krylov subspace model reduction. -
TextContourNet: a Flexible and Effective Framework for Improving Scene Text Detection Architecture with a Multi-task Cascade. -
Attentional Multi-Reading Sarcasm Detection. -
Large-Scale Spectrum Allocation for Cellular Networks via Sparse Optimization. -
LDW-SCSA: Logistic Dynamic Weight based Sine Cosine Search Algorithm for Numerical Functions Optimization. -
SHOMA at Parseme Shared Task on Automatic Identification of VMWEs: Neural Multiword Expression Tagging with High Generalisation. -
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines. -
Active Inverse Reward Design. -
Analysis of the generalization error: Empirical risk minimization over deep artificial neural networks overcomes the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations. -
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure. -
Learning in time-varying games. -
A case for deep learning in semantics. -
-
Sample Complexity of Nonparametric Semi-Supervised Learning. -
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. -
Efficient Counterfactual Learning from Bandit Feedback. -
Parameterized Games and Parameterized Automata. 30-42 -
Classical Proofs as Parallel Programs. 43-57 -
A Simplicial Complex Model for Dynamic Epistemic Logic to study Distributed Task Computability. 73-87 -
A Comparison of BDD-Based Parity Game Solvers. 103-117 -
Tester versus Bug: A Generic Framework for Model-Based Testing via Games. 118-132 -
Parameterized Verification of Coverability in Well-Structured Broadcast Networks. 133-146 -
Temporal Logic and Model Checking for Operator Precedence Languages. 161-175 -
One-Pass and Tree-Shaped Tableau Systems for TPTL and TPTLb+Past. 176-190 -
Complexity of Timeline-Based Planning over Dense Temporal Domains: Exploring the Middle Ground. 191-205 -
On Computing the Measures of First-Order Definable Sets of Trees. 206-219 -
On Finding a First-Order Sentence Consistent with a Sample of Strings. 220-234 -
Multi-weighted Markov Decision Processes with Reachability Objectives. 250-264 -
Regular omega-Languages with an Informative Right Congruence. 265-279 -
Cloud Index Tracking: Enabling Predictable Costs in Cloud Spot Markets. -
Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction. -
Second-Order Adversarial Attack and Certifiable Robustness. -
Mixed-ADC/DAC Multipair Massive MIMO Relaying Systems: Performance Analysis and Power Optimization. -
A Deep Reinforced Sequence-to-Set Model for Multi-Label Text Classification. -
Memristive LSTM network hardware architecture for time-series predictive modeling problem. -
The LKPY Package for Recommender Systems Experiments: Next-Generation Tools and Lessons Learned from the LensKit Project. -
Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation. -
On Privacy of Quantized Sensor Measurements through Additive Noise. -
A Linear Approach to Fault Analysis and Intervention in Boolean Systems. -
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers. -
Deep MR Image Super-Resolution Using Structural Priors. -
Computational Aspects of Optimal Strategic Network Diffusion. -
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. -
A Stochastic Game Framework for Analyzing Computational Investment Strategies in Distributed Computing with Application to Blockchain Mining. -
Texturing and Deforming Meshes with Casual Images. -
Is Leakage Power a Linear Function of Temperature? -
Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning. -
Critically fast pick-and-place with suction cups. -
A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising. -
Learning Time Dependent Choice. -
Minimum Eccentric Connectivity Index for Graphs with Fixed Order and Fixed Number of Pending Vertices. -
A case study in formal verification of a Java program. -
Resilience Bounds of Sensing-Based Network Clock Synchronization. -
Short-term meaning shift: an exploratory distributional analysis. -
The AAU Multimodal Annotation Toolboxes: Annotating Objects in Images and Videos. -
Geoseg: A Computer Vision Package for Automatic Building Segmentation and Outline Extraction. -
Towards one-shot learning for rare-word translation with external experts. -
-
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis. -
Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce. -
OpenMP Loop Scheduling Revisited: Making a Case for More Schedules. -
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks. -
Improving Response Selection in Multi-turn Dialogue Systems. -
Learning to Generate Structured Queries from Natural Language with Indirect Supervision. -
Decentralized Cooperative Planning for Automated Vehicles with Continuous Monte Carlo Tree Search. -
Learning Sequence Encoders for Temporal Knowledge Graph Completion. -
Studying Confirmation Bias in Hashtag Usage on Twitter. -
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data. -
Intelligent flat-and-textureless object manipulation in Service Robots. -
Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks. -
Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States. -
Delivery-Secrecy Tradeoff for Cache-Enabled Stochastic Networks: Content Placement Optimization. -
Multimodal feedback for active robot-object interaction. -
Hand-tremor frequency estimation in videos. -
Gait learning for soft microrobots controlled by light fields. -
Multi-Context Deep Network for Angle-Closure Glaucoma Screening in Anterior Segment OCT. -
Finding Better Topologies for Deep Convolutional Neural Networks by Evolution. -
Finite Satisfiability of Unary Negation Fragment with Transitivity. -
Two-Dimensional Control and Assurance of Data Integrity in Information Systems Based on Residue Number System Codes and Cryptographic Hash Functions. -
Loop Patterns: Extension of Kleene Star Operator for More Expressive Pattern Matching against Arbitrary Data Structures. -
Elementary Multimodal Logics. -
Using phase instead of optical flow for action recognition. -
Classification by Re-generation: Towards Classification Based on Variational Inference. -
Automated Test Generation to Detect Individual Discrimination in AI Models. -
The Skiplist-Based LSM Tree. -
Model Theory of Monadic Predicate Logic with the Infinity Quantifier. -
Proceedings of the 26th International Symposium on Graph Drawing and Network Visualization (GD 2018). -
Feature Learning for Meta-Paths in Knowledge Graphs. -
Privacy-Preserving Deep Learning for any Activation Function. -
Multilingual Extractive Reading Comprehension by Runtime Machine Translation. -
Grasp success prediction with quality metrics. -
Action-conditional Sequence Modeling for Recommendation. -
A Brief Review of Real-World Color Image Denoising. -
Monte Carlo Tree Search for Verifying Reachability in Markov Decision Processes. -
Landslide Monitoring based on Terrestrial Laser Scanning: A Novel Semi-automatic Workflow. -
A Comparison of Handcrafted and Deep Neural Network Feature Extraction for Classifying Optical Coherence Tomography (OCT) Images. -
MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR T2 mapping. -
On the Optimality of Treating Inter-Cell Interference as Noise in Uplink Cellular Networks. -
A Global Alignment Kernel based Approach for Group-level Happiness Intensity Estimation. -
A Robotic Auto-Focus System based on Deep Reinforcement Learning. -
Hierarchical Video Understanding. -
Towards Efficient Convolutional Neural Network for Domain-Specific Applications on FPGA. -
Network Topology Mapping from Partial Virtual Coordinates and Graph Geodesics. -
Guiding the Creation of Deep Learning-based Object Detectors. -
Deriving Enhanced Geographical Representations via Similarity-based Spectral Analysis: Predicting Colorectal Cancer Survival Curves in Iowa. -
A Stable Minutia Descriptor based on Gabor Wavelet and Linear Discriminant Analysis. -
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark. -
Neural Allocentric Intuitive Physics Prediction from Real Videos. -
Assessing and Addressing Algorithmic Bias - But Before We Get There. -
Interactive Binary Image Segmentation with Edge Preservation. -
A Comparison of CNN-based Face and Head Detectors for Real-Time Video Surveillance Applications. -
Distributed dynamic modeling and monitoring for large-scale industrial processes under closed-loop control. -
Downlink Performance of Uplink Fractional Power Control in 5G Massive MIMO Systems. -
xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks. -
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks. -
Improving Optimization Bounds using Machine Learning: Decision Diagrams meet Deep Reinforcement Learning. -
Torchbearer: A Model Fitting Library for PyTorch. -
Wideband Hybrid Precoding for Next-Generation Backhaul/Fronthaul Based on mmWave FD-MIMO. -
Probabilistic Binary Neural Networks. -
Machine Learning Based Hybrid Precoding for MmWave MIMO-OFDM with Dynamic Subarray. -
SPASS: Scientific Prominence Active Search System with Deep Image Captioning Network. -
Tandem: Securing Keys by Using a Central Server While Preserving Privacy. -
Toward a Standardized and More Accurate Indonesian Part-of-Speech Tagging. -
Optimal Partition of a Tree with Social Distance. -
A Markov-Switching Model Approach to Heart Sound Segmentation and Classification. -
Constructing Urban Tourism Space Digitally: A Study of Airbnb Listings in Two Berlin Neighborhoods. -
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity. -
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space. -
Does Your Phone Know Your Touch? -
Keep it stupid simple. -
Jointly Learning to See, Ask, and GuessWhat. -
Filling Missing Paths: Modeling Co-occurrences of Word Pairs and Dependency Paths for Recognizing Lexical Semantic Relations. -
S2VC: An SDN-based Framework for Maximizing QoE in SVC-Based HTTP Adaptive Streaming. -
Monocular Object and Plane SLAM in Structured Environments. -
Identifying Relationships Among Sentences in Court Case Transcripts Using Discourse Relations. -
Performance Evaluation of the Quorum Blockchain Platform. -
Strongly regular graphs from weakly regular plateaued functions. -
Not Just Privacy: Improving Performance of Private Deep Learning in Mobile Cloud. -
Now You're Thinking With Structures: A Concept for Structure-based Interactions with Spreadsheets. -
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration. -
A collection of database industrial techniques and optimization approaches of database operations. -
Expert-augmented actor-critic for ViZDoom and Montezumas Revenge. -
Exploring Machine Reading Comprehension with Explicit Knowledge. -
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding. -
The Pareto Frontier of Inefficiency in Mechanism Design. -
Event Graphs: Advances and Applications of Second-Order Time-Unfolded Temporal Network Models. -
AAG-Stega: Automatic Audio Generation-based Steganography. -
ViZDoom Competitions: Playing Doom from Pixels. -
Multi-party Poisoning through Generalized p-Tampering. -
SpRRAM: A Predefined Sparsity Based Memristive Neuromorphic Circuit for Low Power Application. -
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios. -
Relay-Aided Secure Broadcasting for Visible Light Communications. -
Longitudinal Safety Analysis For Heterogeneous Platoon Of Automated And Human Vehicles. -
Multi-view Models for Political Ideology Detection of News Articles. -
Flow Length and Size Distributions in Campus Internet Traffic. -
The HyperKron Graph Model for higher-order features. -
A Correlation Maximization Approach for Cross Domain Co-Embeddings. -
PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning. -
Energy Disaggregation via Deep Temporal Dictionary Learning. -
Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting. -
Annotating shadows, highlights and faces: the contribution of a 'human in the loop' for digital art history. -
Bayesian Patchworks: An Approach to Case-Based Reasoning. -
VPE: Variational Policy Embedding for Transfer Reinforcement Learning. -
Unicyclic Strong Permutations. -
Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment. -
Certifiably Globally Optimal Extrinsic Calibration from Per-Sensor Egomotion. -
Keep Rollin' - Whole-Body Motion Control and Planning for Wheeled Quadrupedal Robots. -
Deep Learning Towards Mobile Applications. -
Open Problems in Robotic Anomaly Detection. -
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis. -
Improving Question Answering by Commonsense-Based Pre-Training. -
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers. -
Using Image Fairness Representations in Diversity-Based Re-ranking for Recommendations. -
Unconstraining graph-constrained group testing. -
Underwater Surveying via Bearing only Cooperative Localization. -
Learning Named Entity Tagger using Domain-Specific Dictionary. -
PedX: Benchmark Dataset for Metric 3D Pose Estimation of Pedestrians in Complex Urban Intersections. -
Towards Practical Software Stack Decoding of Polar Codes. -
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision. -
On the Capacity Region for Secure Index Coding. -
Visualization of High-dimensional Scalar Functions Using Principal Parameterizations. -
Improving Adversarial Discriminative Domain Adaptation. -
ClusterGAN : Latent Space Clustering in Generative Adversarial Networks. -
Network Coded Handover in IEEE 802.11. -
Detecting Gang-Involved Escalation on Social Media Using Context. -
Unsupervised Cross-lingual Transfer of Word Embedding Spaces. -
Tuning metaheuristics by sequential optimization of regression models. -
Learning Root Source with Marked Multivariate Hawkes Processes. -
Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography. -
Energy-efficient Decision Fusion for Distributed Detection in Wireless Sensor Networks. -
Resource-driven Substructural Defeasible Logic. -
Uplink Cooperative NOMA for Cellular-Connected UAV. -
Neural Animation and Reenactment of Human Actor Videos. -
Topic Memory Networks for Short Text Classification. -
Comparing Computing Platforms for Deep Learning on a Humanoid Robot. -
Temporal-Spatial Mapping for Action Recognition. -
Planar Cooperative Extremum Seeking with Guaranteed Convergence Using A Three-Robot Formation. -
Unbiasing Semantic Segmentation For Robot Perception using Synthetic Data Feature Transfer. -
Learning Scripts as Hidden Markov Models. -
CNN-Based Signal Detection for Banded Linear Systems. -
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. -
Massively Parallel Dynamic Programming on Trees. -
A Joint Model of Conversational Discourse and Latent Topics on Microblogs. -
Modified integral imaging reconstruction and encryption using an improved SR reconstruction algorithm. -
Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset. -
Whisper: Fast Flooding for Low-Power Wireless Networks. -
Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. -
Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction. -
Robust Resource Allocation for UAV Systems with UAV Jittering and User Location Uncertainty. -
Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. -
Path Planning Algorithms for a Car-Like Robot visiting a set of Waypoints with Field of View Constraints. -
Deep Asymmetric Networks with a Set of Node-wise Variant Activation Functions. -
Characterizing the Power Cost of Virtualization Environments. -
Diversity, Productivity, and Growth of Open Source Developer Communities. -
How much should you ask? On the question structure in QA systems. -
Factorized Q-Learning for Large-Scale Multi-Agent Systems. -
Benchmarking of Java Verification Tools at the Software Verification Competition (SV-COMP). -
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System. -
UAV Aided Aerial-Ground IoT for Air Quality Sensing in Smart City: Architecture, Technologies and Implementation. -
Joint Spatial Division and Diversity for Massive MIMO Systems. -
Non-blind Image Restoration Based on Convolutional Neural Network. -
Threshold-Based Heuristics for Trust Inference in a Social Network. -
A note on reducing the computation time for minimum distance and equivalence check of binary linear codes. -
3D Human Body Reconstruction from a Single Image via Volumetric Regression. -
Solving Non-identifiable Latent Feature Models. -
Probabilistic approach to limited-data computed tomography reconstruction. -
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks. -
Normalization in Training Deep Convolutional Neural Networks for 2D Bio-medical Semantic Segmentation. -
Compressive Massive Random Access for Massive Machine-Type Communications (mMTC). -
Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging. -
A new exact algorithm for solving single machine scheduling problems with learning effects and deteriorating jobs. -
A fast Fourier transform based direct solver for the Helmholtz problem. -
A Framework for Rewriting Families of String Diagrams. 63-76 -
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network. -
Integration of Relational and Graph Databases Functionally. -
Real-time force control of an SEA-based body weight support unit with the 2-DOF control structure. -
Unsupervised Domain Adaptation Based on Source-guided Discrepancy. -
Danger-aware Weighted Advantage Composition of Deep Reinforcement Learning for Robot Navigation. -
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification. -
Robust Energy Efficient Beamforming in MISOME-SWIPT Systems With Proportional Secrecy Rate. -
EXS: Explainable Search Using Local Model Agnostic Interpretability. -
Response Characterization for Auditing Cell Dynamics in Long Short-term Memory Networks. -
Efficient Multimedia Similarity Measurement Using Similar Elements. -
An informative path planning framework for UAV-based terrain monitoring. -
A Real-time Robotic Grasp Approach with Oriented Anchor Box. -
Quantitative Reductions and Vertex-Ranked Infinite Games. 1-15 -
Constrained Existence Problem for Weak Subgame Perfect Equilibria with ω-Regular Boolean Objectives. 16-29 -
Effortless Fault Localisation: Conformance Testing of Real-Time Systems in Ecdar. 147-160 -
Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus. -
The Power of the Weak. -
Mitigating Confirmation Bias on Twitter by Recommending Opposing Views. -
Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence. -
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images. -
Does network quality matter? A field study of mobile user satisfaction. -
Multidevice mobile sessions: A first look. -
SAI, a Sensible Artificial Intelligence that plays Go. -
MIMO Mutli-Cell Processing: Optimal Precoding and Power Allocation. -
Simple single-scale microstructures based on optimal rank-3 laminates. -
Multilingual Cross-domain Perspectives on Online Hate Speech. -
Hubless keypoint-based 3D deformable groupwise registration. -
5G Massive MIMO Architectures: Self-Backhauled Small Cells versus Direct Access. -
Abstraction Learning. -
Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations. -
3D Inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's Disease diagnostics. -
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies. -
Vandal: A Scalable Security Analysis Framework for Smart Contracts. -
On The Alignment Problem In Multi-Head Attention-Based Neural Machine Translation. -
The ε-error Capacity of Symmetric PIR with Byzantine Adversaries. -
Assessing Composition in Sentence Vector Representations. -
Efficient Road Lane Marking Detection with Deep Learning. -
Toward Automated Early Sepsis Alerting: Identifying Infection Patients from Nursing Notes. -
Evaluating Semantic Rationality of a Sentence: A Sememe-Word-Matching Neural Network based on HowNet. -
A consistent approach for fluid-structure-contact interaction based on a porous flow model for rough surface contact. -
Low-Resolution Fault Localization Using Phasor Measurement Units with Community Detection. -
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates. -
Training and Prediction Data Discrepancies: Challenges of Text Classification with Noisy, Historical Data. -
Can LSTM Learn to Capture Agreement? The Case of Basque. -
p-Bits for Probabilistic Spin Logic. -
Resilient Active Target Tracking with Multiple Robots. -
Bit-Metric Decoding of Non-Binary LDPC Codes with Probabilistic Amplitude Shaping. -
Solving Imperfect-Information Games via Discounted Regret Minimization. -
Identifying Unmaintained Projects in GitHub. -
AWE: Asymmetric Word Embedding for Textual Entailment. -
Accurate Tracking of Aggressive Quadrotor Trajectories using Incremental Nonlinear Dynamic Inversion and Differential Flatness. -
Maximally Consistent Sampling and the Jaccard Index of Probability Distributions. -
Neural-Augmented Static Analysis of Android Communication. -
SNS: A Solution-based Nonlinear Subspace method for time-dependent nonlinear model order reduction. -
Zoom: SSD-based Vector Search for Optimizing Accuracy, Latency and Memory. -
DNN Dataflow Choice Is Overrated. -
Smooth Structured Prediction Using Quantum and Classical Gibbs Samplers. -
The Coin Problem in Constant Depth: Sample Complexity and Parity Gates. -
Is together better? Examining scientific collaborations across multiple authors, institutions, and departments. -
FIVR: Fine-grained Incident Video Retrieval. -
Parallel Separable 3D Convolution for Video and Volumetric Data Understanding. -
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions. -
Usable Differential Privacy: A Case Study with PSI. -
On the Beneficial Roles of Fading and Transmit Diversity in Wireless Power Transfer with Nonlinear Energy Harvesting. -
ACM RecSys 2018 Late-Breaking Results Proceedings. -
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. -
Camouflaged with Size: A Case Study of Espionage using Acquirable Single-Board Computers. -
Detecting egregious responses in neural sequence-to-sequence models. -
Taking a machine's perspective: Human deciphering of adversarial images. -
Cartesian Neural Network Constitutive Models for Data-driven Elasticity Imaging. -
Servo Actuating System Control Using Optimal Fuzzy Approach Based on Particle Swarm Optimization. -
Poisoning Attacks to Graph-Based Recommender Systems. -
Limitations in learning an interpreted language with recurrent models. -
Magnetically Guided Capsule Endoscopy. -
Simultaneous Localization and Layout Model Selection in Manhattan Worlds. -
Randomized Wagering Mechanisms. -
JigsawNet: Shredded Image Reassembly using Convolutional Neural Network and Loop-based Composition. -
On-Demand TDMA for Energy Efficient Data Collection with LoRa and Wake-up Receiver. -
KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs. -
End-to-end Image Captioning Exploits Multimodal Distributional Similarity. -
Feature-Specific Profiling. -
Intensity and Rescale Invariant Copy Move Forgery Detection Techniques. -
Heated-Up Softmax Embedding. -
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. -
Leabra7: a Python package for modeling recurrent, biologically-realistic neural networks. -
Vehicle Localization and Control on Roads with Prior Grade Map. -
A Cryptographic Escrow for Treaty Declarations and Step-by-Step Verification. -
From Natural to Artificial Camouflage: Components and Systems. -
Verifiable Computations with RAM-like Running Times. -
Phaseless Subspace Tracking. -
Time Series Analysis of Clickstream Logs from Online Courses. -
What can linguistics and deep learning contribute to each other? -
Iterative Segmentation from Limited Training Data: Applications to Congenital Heart Disease. -
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. -
Deep Micro-Dictionary Learning and Coding Network. -
Fourier-Domain Optimization for Image Processing. -
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction. -
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference. -
Faster Variational Execution with Transparent Bytecode Transformation. -
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals. -
Synthetic Attribute Data for Evaluating Consumer-side Fairness. -
Multimodal neural pronunciation modeling for spoken languages with logographic origin. -
Temporal Pattern Attention for Multivariate Time Series Forecasting. -
Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information. -
Bidirectional Evaluation with Direct Manipulation. -
Hyperspectral Image Classification in the Presence of Noisy Labels. -
Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning. -
Dynamic Robot Motion Prediction Updates in Physical Human-Robot Interactive Tasks. -
Security and Privacy Enhancement for Outsourced Biometric Identification. -
Access to Population-Level Signaling as a Source of Inequality. -
Attention based visual analysis for fast grasp planning with multi-fingered robotic hand. -
Deep Co-investment Network Learning for Financial Assets. -
Ensemble of Convolutional Neural Networks for Automatic Grading of Diabetic Retinopathy and Macular Edema. -
Trajectory Generation for Multiagent Point-To-Point Transitions via Distributed Model Predictive Control. -
Safe Exploration in Markov Decision Processes with Time-Variant Safety using Spatio-Temporal Gaussian Process. -
TGE-PS: Text-driven Graph Embedding with Pairs Sampling. -
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. -
Free Pseudodistance Growth Rates for Spatially Coupled LDPC Codes over the BEC. -
Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review. -
An Ontology-Based Artificial Intelligence Model for Medicine Side-Effect Prediction: Taking Traditional Chinese Medicine as An Example. -
Generalizing Word Embeddings using Bag of Subwords. -
Extracting Fairness Policies from Legal Documents. -
Efficiency and detectability of random reactive jamming in carrier sense wireless networks. -
Knowledge Based Machine Reading Comprehension. -
Rapid Training of Very Large Ensembles of Diverse Neural Networks. -
Knowledge-Aware Conversational Semantic Parsing Over Web Tables. -
Transforming acoustic characteristics to deceive playback spoofing countermeasures of speaker verification systems. -
Retrieval-Enhanced Adversarial Training for Neural Response Generation. -
Safe Navigation with Human Instructions in Complex Scenes. -
An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation. -
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning. -
Graph Convolutional Networks based Word Embeddings. -
An Approach to Handle Big Data Warehouse Evolution. -
Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances. -
CATCH-919 Hand: Design of a 9-actuator 19-DOF Anthropomorphic Robotic Hand. -
Data-driven repetitive control: Wind tunnel experiments under turbulent conditions. -
Chinese Poetry Generation with a Working Memory Model. -
-
Chinese Poetry Generation with a Salient-Clue Mechanism. -
Action Representations in Robotics: A Taxonomy and Systematic Classification. -
Neural Melody Composition from Lyrics. -
Learning regression and verification networks for long-term visual tracking. -
Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation. -
Poster Abstract: LPWA-MAC - a Low Power Wide Area network MAC protocol for cyber-physical systems. -
Privacy-Utility Management of Hypothesis Tests. -
Deep Learning in Information Security. -
Concurrent Robin Hood Hashing. -
Compact Optimization Algorithms with Re-sampled Inheritance. -
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. -
Robust Beamforming for AN Aided MISO SWIPT System with Unknown Eavesdroppers and Non-linear EH Model. -
Packing Sporadic Real-Time Tasks on Identical Multiprocessor Systems. -
Deep learning for time series classification: a review. -
Training Deep Neural Networks with Different Datasets In-the-wild: The Emotion Recognition Paradigm. -
The Convergence of Iterative Delegations in Liquid Democracy. -
Thermal Features for Presentation Attack Detection in Hand Biometrics. -
NNCP: A citation count prediction methodology based on deep neural network learning techniques. -
A Collaborative Multi-agent Reinforcement Learning Anti-jamming Algorithm in Wireless Networks. -
Bayesian Semi-supervised Learning with Graph Gaussian Processes. -
Binary MDS Array Codes with Optimal Repair. -
A Framework for Approval-based Budgeting Methods. -
A Hand Combining Two Simple Grippers to Pick up and Arrange Objects for Assembly. -
Maximizing the Diversity of Exposure in a Social Network. -
Finding Cheeger Cuts in Hypergraphs via Heat Equation. -
Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition. -
Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration. -
Learning Deep Mixtures of Gaussian Process Experts Using Sum-Product Networks. -
Label Denoising with Large Ensembles of Heterogeneous Neural Networks. -
A Tabula Rasa Approach to Sporadic Location Privacy. -
Re-purposing Compact Neuronal Circuit Policies to Govern Reinforcement Learning Tasks. -
Tuning the Performance of a Computational Persistent Homology Package. -
Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification. -
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy. -
Addressing the Fundamental Tension of PCGML with Discriminative Learning. -
Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. -
-
Hate Speech Dataset from a White Supremacy Forum. -
End-to-end depth from motion with stabilized monocular videos. -
Dynamic logic assigned to automata. -
Arbitrarily Varying Remote Sources. -
Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network. -
An Integrated First-Order Theory of Points and Intervals over Linear Orders (Part II). -
Learning structure-from-motionfrom motion. -
Multi-task Deep Reinforcement Learning with PopArt. -
But How Does It Work in Theory? Linear SVM with Random Features. -
The Visual QA Devil in the Details: The Impact of Early Fusion and Batch Norm on CLEVR. -
Dynamic Edge Caching with Popularity Drifting. -
Discovering Topical Interactions in Text-based Cascades using Hidden Markov Hawkes Processes. -
A Curry-Howard Correspondence for the Minimal Fragment of Łukasiewicz Logic. -
The W4 method: a new multi-dimensional root-finding scheme for nonlinear systems of equations. -
Hyperprior Induced Unsupervised Disentanglement of Latent Representations. -
-
Emo2Vec: Learning Generalized Emotion Representation by Multi-task Training. -
Combined Reinforcement Learning via Abstract Representations. -
Investigating the generalizability of EEG-based Cognitive Load Estimation Across Visualizations. -
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. -
A Simple Elementary Proof of P=NP based on the Relational Model of E. F. Codd. -
Genetic algorithms with DNN-based trainable crossover as an example of partial specialization of general search. -
Label-less Learning for Traffic Control in an Edge Network. -
Image contrast enhancement using fuzzy logic. -
Characterizing the learning dynamics in extremum seeking. -
Unpaired Brain MR-to-CT Synthesis using a Structure-Constrained CycleGAN. -
Frequency-Aware Model Predictive Control. -
The Inductive Bias of Restricted f-GANs. -
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications. -
Human Driving Skill Modeling Using Neural Networks for Haptic Assistance in Realistic Virtual Environments. -
End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models. -
Proceedings 5th Workshop on Horn Clauses for Verification and Synthesis, HCVS 2018, Oxford, UK, 13th July 2018. EPTCS 278, 2018 [contents] -
Unsupervised Controllable Text Formalization. -
Solving Sinhala Language Arithmetic Problems using Neural Networks. -
Coordinated Heterogeneous Distributed Perception based on Latent Space Representation. -
Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. -
Game-Based Video-Context Dialogue. -
Constant Amortized RMR Complexity Deterministic Abortable Mutual Exclusion Algorithm for CC and DSM Models. -
Finding Higher Order Mutants Using Variational Execution. -
On the Stability and Convergence of Stochastic Gradient Descent with Momentum. -
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. -
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability. -
Privacy-preserving mHealth Data Release with Pattern Consistency. -
Distorting an Adversary's View in Cyber-Physical Systems. -
Going Viral: Stability of Consensus-Driven Adoptive Spread. -
Efficient and Privacy-preserving Voice-based Search over mHealth Data. -
Closed-Book Training to Improve Summarization Encoder Memory. -
A Two-Step Learning Method For Detecting Landmarks on Faces From Different Domains. -
Visual-Quality-Driven Learning for Underwater Vision Enhancement. -
Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments. -
Jump to better conclusions: SCAN both left and right. -
Deep Spectral Correspondence for Matching Disparate Image Pairs. -
The closed loop between opinion formation and personalised recommendations. -
Reversing the asymmetry in data exfiltration. -
Semantic WordRank: Generating Finer Single-Document Summarizations. -
A Conceptual Approach to Complex Model Management with Generalized Modelling Patterns and Evolutionary Identification. -
Are object detection assessment criteria ready for maritime computer vision? -
Compact QC-LDPC Block and SC-LDPC Convolutional Codes for Low-Latency Communications. -
Creating Fair Models of Atherosclerotic Cardiovascular Disease Risk. -
A Unified Batch Online Learning Framework for Click Prediction. -
The Simple Chromatic Number of (m, n)-Mixed Graphs. -
Improved Basic Block Reordering. -
A scalable method to find the shortest path in a graph with circuits of memristors. -
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector. -
SAFE: A Neural Survival Analysis Model for Fraud Early Detection. -
Fair lending needs explainable models for responsible recommendation. -
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation. -
An Online Plug-and-Play Algorithm for Regularized Image Reconstruction. -
Geometric Image Synthesis. -
Learning to Summarize Radiology Findings. -
Reconciling Similar Sets of Data. -
Do-It-Yourself Single Camera 3D Pointer Input Device. -
Distilled Wasserstein Learning for Word Embedding and Topic Modeling. -
Semantically Enhanced Models for Commonsense Knowledge Acquisition. -
Evaluation of Semantic Metadata Pair Modelling Using Data Clustering. -
Linear Algebra and Duality of Neural Networks. -
Achieving Low-Latency Mobile Edge Computing by Uplink and Downlink Decoupled Access in HetNets. -
Sim-to-Real Transfer Learning using Robustified Controllers in Robotic Tasks involving Complex Dynamics. -
Text-based Passwords Generated From Topological Graphic Passwords. -
Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors. -
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective. -
Blockchain-inspired Event Recording System for Autonomous Vehicles. -
PPtaxi: Non-stop Package Delivery via Multi-hop Ridesharing. -
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery. -
Fairness-aware Classification: Criterion, Convexity, and Bounds. -
SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories. -
Adversarial Feature Sampling Learning for Efficient Visual Tracking. -
Geodesic Clustering in Deep Generative Models. -
Strategies to Inject Spoofed Measurement Data. -
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series. -
Head Reconstruction from Internet Photos. -
3D Face Hallucination from a Single Depth Frame. -
Video to Fully Automatic 3D Hair Model. -
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations. -
Bounded Symbolic Execution for Runtime Error Detection of Erlang Programs. 19-26 -
Towards Coinductive Theory Exploration in Horn Clause Logic: Position Paper. 27-33 -
A Simple Functional Presentation and an Inductive Correctness Proof of the Horn Algorithm. 34-48 -
Fidelius: Protecting User Secrets from Compromised Browsers. -
Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals. -
Generative adversarial network-based image super-resolution using perceptual content losses. -
Assessing the Effectiveness of Attack Detection at a Hackfest on Industrial Control Systems. -
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality. -
Adversarial Examples: Opportunities and Challenges. -
Considering Gut Biofeedback for Emotion Regulation. -
Focus Group on Artificial Intelligence for Health. -
Multi-Dimensional Spatially-Coupled Code Design Through Informed Relocation of Circulants. -
Robust Densest Subgraph Discovery. -
Pre- and post-quantum Diffie-Hellman from groups, actions, and isogenies. -
Graph powering and spectral robustness. -
Canonical and Compact Point Cloud Representation for Shape Classification. -
Adding Forward Erasure Correction to QUIC. -
Image Captioning based on Deep Reinforcement Learning. -
Tübingen-Oslo system: Linear regression works the best at Predicting Current and Future Psychological Health from Childhood Essays in the CLPsych 2018 Shared Task. -
On Offline Evaluation of Vision-based Driving Models. -
Hybrid design tools - making of a digitally augmented blackboard. -
Imitating Human Search Strategies for Assembly. -
Relevance in Structured Argumentation. -
The Covering Radius of the Reed-Muller Code RM(2, 7) is 40. -
Deep Network Uncertainty Maps for Indoor Navigation. -
Data Rates for Stabilizing Control under Denial-of-Service Attacks. -
Improving the Parallel Execution of Behavior Trees. -
Query-Efficient Black-Box Attack by Active Learning. -
Algorithms for Optimal Control with Fixed-Rate Feedback. -
Coordination-driven learning in multi-agent problem spaces. -
Active Damping of a DC Network with a Constant Power Load: An Adaptive Passivity-based Control Approach. -
A Self-Stabilizing Hashed Patricia Trie. -
Grown-up NimbRo Robots Winning RoboCup 2017 Humanoid AdultSize Soccer Competitions. -
Multimodal Local-Global Ranking Fusion for Emotion Recognition. -
LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts. -
Fixed set search applied to the traveling salesman problem. -
Studying Mutual Phonetic Influence with a Web-Based Spoken Dialogue System. -
Linear Complexity of Geometric Sequences Defined by Cyclotomic Classes and Balanced Binary Sequences Constructed by the Geometric Sequences. -
Unsupervised Machine Commenting with Neural Variational Topic Model. -
ISO/EPC Addressing Methods to Support Supply Chain in the Internet of Things. -
Placement Optimization for UAV-Enabled Wireless Networks with Multi-Hop Backhaul. -
Real-Time Lightweight Chaotic Encryption for 5G IoT Enabled Lip-Reading Driven Secure Hearing-Aid. -
Gaussian process classification using posterior linearisation. -
Simulation-based Distributed Coordination Maximization over Networks. -
Sparse Label Smoothing for Semi-supervised Person Re-Identification. -
On Existence, Mixtures, Computation and Efficiency in Multi-objective Games. -
High-Accuracy Inference in Neuromorphic Circuits using Hardware-Aware Training. -
Part-based Graph Convolutional Network for Action Recognition. -
SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro. -
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation. -
Sequential Coordination of Deep Models for Learning Visual Arithmetic. -
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze. -
Efficient Graph Cut Optimization for Full CRFs with Quantized Edges. -
Clipped Matrix Completion: a Remedy for Ceiling Effects. -
From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples. -
Reductive property of new fuzzy reasoning method based on distance measure. -
Parallel Machine Scheduling with a Single Resource per Job. -
Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems. -
Relays: A New Approach for the Finite Departure Problem in Overlay Networks. -
Bounded Synthesis of Register Transducers. -
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. -
An energy-based analysis of reduced-order models of (networked) synchronous machines. -
Full Workspace Generation of Serial-link Manipulators by Deep Learning based Jacobian Estimation. -
State-Space Identification of Unmanned Helicopter Dynamics using Invasive Weed Optimization Algorithm on Flight Data. -
ReplicaTEE: Enabling Seamless Replication of SGX Enclaves in the Cloud. -
Discovering Features in Sr14Cu24O41 Neutron Single Crystal Diffraction Data by Cluster Analysis. -
Categorical Representations of Continuous Domains and Continuous L-Domains Based on Closure Spaces. -
Learning to Group and Label Fine-Grained Shape Components. -
XNLI: Evaluating Cross-lingual Sentence Representations. -
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles. -
Tire Noise Optimization Problem: a Mixed Integer Linear Program Approach. -
Seeing Tree Structure from Vibration. -
Learning Shape Priors for Single-View 3D Completion and Reconstruction. -
Physical Primitive Decomposition. -
Channel Polarization through the Lens of Blackwell Measures. -
Derivative-free online learning of inverse dynamics models. -
Computer Vision-aided Atom Tracking in STEM Imaging. -
Submodular Secretary Problem with Shortlists. -
Routing Cryptocurrency with the Spider Network. -
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning. -
-
Enhanced Network Embeddings via Exploiting Edge Labels. -
IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks. -
Choosing to Rank. -
Balance in signed networks. -
A Deep Learning and Gamification Approach to Energy Conservation at Nanyang Technological University. -
Laplace Inference for Multi-fidelity Gaussian Process Classification. -
Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber-Physical Systems. -
Deep Reinforcement Learning for Event-Triggered Control. -
On the Strength of Character Language Models for Multilingual Named Entity Recognition. -
An Incentive Mechanism for Crowd Sensing with Colluding Agents. -
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks. -
Explainable time series tweaking via irreversible and reversible temporal transformations. -
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning. -
Interpreting search result rankings through intent modeling. -
Real-Time Model Predictive Control for Energy Management in Autonomous Underwater Vehicle. -
Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts. -
Organic Computing as Chance for Interwoven Systems. -
Do Your Cores Play Nicely? A Portable Framework for Multi-core Interference Tuning and Analysis. -
Periodicity in Movement Patterns Shapes Epidemic Risk in Urban Environments. -
A Simple Mechanism for a Budget-Constrained Buyer. -
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors. -
Model-Based Reinforcement Learning via Meta-Policy Optimization. -
Enhanced Optic Disk and Cup Segmentation with Glaucoma Screening from Fundus Images using Position encoded CNNs. -
Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation. -
Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks. -
On Evaluating Perceptual Quality of Online User-Generated Videos. -
A Variational Observation Model of 3D Object for Probabilistic Semantic SLAM. -
Probabilistic Optimal Power Flow Considering Correlation of Wind Farms via Markov Chain Quasi-Monte Carlo Sampling. -
Future developments in cyber risk assessment for the internet of things. -
VoxelMorph: A Learning Framework for Deformable Medical Image Registration. -
Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder. -
In-Route Task Selection in Crowdsourcing. -
Evaluating Certificate Policy - Certification Practice Statement of Unique Government Certification Authority using Public Key Infrastructure Assessment Guidelines: Research in Progress. -
S-Mbank: Secure Mobile Banking Authentication Scheme Using Signcryption, Pair Based Text Authentication, and Contactless Smartcard. -
Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing. -
Graph Pattern Mining and Learning through User-defined Relations (Extended Version). -
Neural Network Topologies for Sparse Training. -
Distributed and Efficient Resource Balancing Among Many Suppliers and Consumers. -
Revisiting Random Binning Features: Fast Convergence and Strong Parallelizability. -
Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings. -
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection. -
SQL-to-Text Generation with Graph-to-Sequence Model. -
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach. -
Random Warping Series: A Random Features Method for Time-Series Embedding. -
Network Recasting: A Universal Method for Network Architecture Transformation. -
Detection-by-Localization: Maintenance-Free Change Object Detector. -
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data. -
Learning to Fingerprint the Latent Structure in Question Articulation. -
Distributed MPC with Prediction of Time-Varying Communication Delay. -
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based multi-document summarisation. -
Keypoint Based Weakly Supervised Human Parsing. -
Deep CNN Frame Interpolation with Lessons Learned from Natural Language Processing. -
Dushnik-Miller dimension of d-dimensional tilings with boxes. -
Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs. -
Efficient Rank Minimization via Solving Non-convexPenalties by Iterative Shrinkage-Thresholding Algorithm. -
Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. -
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. -
An On-line Design of Physical Watermarks. -
On Plans With Loops and Noise. -
Reasoning about Discrete and Continuous Noisy Sensors and Effectors in Dynamical Systems. -
Spatial Configuration of Agile Wireless Networks with Drone-BSs and User-in-the-loop. -
Motion Planning in Irreducible Path Spaces. -
Fast Iterative Combinatorial Auctions via Bayesian Learning. -
Adaptive Sampling Towards Fast Graph Representation Learning. -
TED Talk Recommender Using Speech Transcripts. -
Put a Ring on It: Text Entry Performance on a Grip Ring Attached Smartphone. -
Transferring Grasping Skills to Novel Instances by Latent Space Non-Rigid Registration. -
Numeral Understanding in Financial Tweets for Fine-grained Crowd-based Forecasting. -
Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis. -
Advanced Soccer Skills and Team Play of RoboCup 2017 TeenSize Winner NimbRo. -
Reclaiming Data: Overcoming app identification barriers for exercising data protection rights. -
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds. -
Combining Simulations and Real-robot Experiments for Bayesian Optimization of Bipedal Gait Stabilization. -
Style Augmentation: Data Augmentation via Style Randomization. -
KittingBot: A Mobile Manipulation Robot for Collaborative Kitting in Automotive Logistics. -
Tools of computer simulation in learning physics. -
The application features MMC mobile SAGE course of Mathematics. -
Transferring Category-based Functional Grasping Skills by Latent Space Non-Rigid Registration. -
Energy Efficient Multi-User MISO Communication using Low Resolution Large Intelligent Surfaces. -
SCORES: Shape Composition with Recursive Substructure Priors. -
An FPGA Implementation of a Time Delay Reservoir Using Stochastic Logic. -
-
Building a Collaborative Culture: A Grounded Theory of Well Succeeded DevOps Adoption in Practice. -
Approximate Query Processing over Static Sets and Sliding Windows. -
Enhanced Multiuser Superposition Transmission through Structured Modulation. -
Reconfiguration of graphs with connectivity constraints. -
Resilient Distributed Energy Management for Systems of Interconnected Microgrids. -
Bounds on the Redundancy of Huffman Codes with Known and Unknown Probabilities. -
Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. -
Real Time System for Facial Analysis. -
Hardware-Aware Machine Learning: Modeling and Optimization. -
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System. -
Multi-Modal Route Planning in Road and Transit Networks. -
A Multi-Stage Algorithm for Acoustic Physical Model Parameters Estimation. -
Blameworthiness in Strategic Games. -
MoSculp: Interactive Visualization of Shape and Time. -
Auto-tuning Distributed Stream Processing Systems using Reinforcement Learning. -
Elastic Registration of Geodesic Vascular Graphs. -
CAVE-AR: A VR User Interface to Interactively Design, Monitor, and Facilitate AR Experiences. -
Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin. -
Mugeetion: Musical Interface Using Facial Gesture and Emotion. -
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. -
Feasibility and coordination of multiple mobile vehicles with mixed equality and inequality constraints. -
Dynamic Models of Planar Sliding. -
A Statistical Learning Approach to Ultra-Reliable Low Latency Communication. -
SocialRobot: Towards a Personalized Elderly Care Mobile Robot. -
Defending Elections Against Malicious Spread of Misinformation. -
Deep Compressive Autoencoder for Action Potential Compression in Large-Scale Neural Recording. -
Extending Neural Generative Conversational Model using External Knowledge Sources. -
A New Secure Network Architecture to Increase Security Among Virtual Machines in Cloud Computing. -
Fairness in Online Social Network Timelines: Measurements, Models and Mechanism Design. -
Efficient Structured Surrogate Loss and Regularization in Structured Prediction. -
Non-Matrix Tactile Sensors: How Can Be Exploited Their Local Connectivity For Predicting Grasp Stability? -
Rigid Body Dynamic Simulation with Multiple Convex Contact Patches. -
Smart But Unsafe: Experimental Evaluation of Security and Privacy Practices in Smart Toys. -
Identification of multi-scale hierarchical brain functional networks using deep matrix factorization. -
Identification of temporal transition of functional states using recurrent neural networks from functional MRI. -
Brain decoding from functional MRI using long short-term memory recurrent neural networks. -
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation. -
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions. -
Events Beyond ACE: Curated Training for Events. -
Ensemble Clustering for Graphs. -
Media Accessibility Policy in Theory and Reality: Empirical Outreach to Audio Description Users in the United States. -
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection. -
Lightweight Synchronization Algorithm with Self-Calibration for Industrial LORA Sensor Networks. -
Non-iterative recomputation of dense layers for performance improvement of DCNN. -
A study on the use of Boundary Equilibrium GAN for Approximate Frontalization of Unconstrained Faces to aid in Surveillance. -
An Overview of Blockchain and Consensus Protocols for IoT Networks. -
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. -
DocFace+: ID Document to Selfie Matching. -
On the Integrity of Cross-Origin JavaScripts. -
Deep Reinforcement Learning Based Mode Selection and Resource Management for Green Fog Radio Access Networks. -
Towards Better Interpretability in Deep Q-Networks. -
Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces. -
Geo-Text Data and Data-Driven Geospatial Semantics. -
Distributed Transient Frequency Control for Power Networks with Stability and Performance Guarantees. -
Transient frequency control with regional cooperation for power networks. -
OffsetNet: Deep Learning for Localization in the Lung using Rendered Images. -
Algebraic Optimization of Binary Spatially Coupled Measurement Matrices for Interval Passing. -
Gradual Session Types. -
Detecting and Explaining Drifts in Yearly Grant Applications. -
HDArray: Parallel Array Interface for Distributed Heterogeneous Devices. -
Wasserstein Autoencoders for Collaborative Filtering. -
Distinguished Capabilities of Artificial Intelligence Wireless Communication Systems. -
DSTC: DNS-based Strict TLS Configurations. -
Kernelization and approximation of distance-r independent sets on nowhere dense graphs. -
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning. -
Graph Convolutional Networks for Text Classification. -
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. -
What's in a Downgrade? A Taxonomy of Downgrade Attacks in the TLS Protocol and Application Protocols Using TLS. -
Commentary on Quantum-Inspired Information Retrieval. -
On the Feasibility of Fine-Grained TLS Security Configurations in Web Browsers Based on the Requested Domain Name. -
Attention as a Perspective for Learning Tempo-invariant Audio Queries. -
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications. -
CLUSE: Cross-Lingual Unsupervised Sense Embeddings. -
Inferring Political Alignments of Twitter Users: A case study on 2017 Turkish constitutional referendum. -
Vision-based Autonomous Landing in Catastrophe-Struck Environments. -
Neural Networks as Artificial Specifications. -
Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data. -
Learning Robust Manipulation Skills with Guided Policy Search via Generative Motor Reflexes. -
Abstractive Dialogue Summarization with Sentence-Gated Modeling Optimized by Dialogue Acts. -
Completely Uncoupled Algorithms for Network Utility Maximization. -
Multi-Scale Deep Compressive Sensing Network. -
Incorporating Behavioral Constraints in Online AI Systems. -
QPCF: higher order languages and quantum circuits. -
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain. -
Completely Uncoupled User Association Algorithms for State Dependent Wireless Networks. -
Answering Science Exam Questions Using Query Rewriting with Background Knowledge. -
XML Navigation and Transformation by Tree-Walking Automata and Transducers with Visible and Invisible Pebbles. -
Neural Networks and Quantifier Conservativity: Does Data Distribution Affect Learnability? -
Finding the way from ä to a: Sub-character morphological inflection for the SIGMORPHON 2018 Shared Task. -
Approximation algorithms for the three-machine proportionate mixed shop scheduling. -
Analysis of Risk Factor Domains in Psychosis Patient Health Records. -
Car-following behavior of connected vehicles in a mixed traffic flow: modeling and stability analysis. -
There's No Place Like Home: Visual Teach and Repeat for Emergency Return of Multirotor UAVs During GPS Failure. -
Choosing a Knowledge Dissemination Approach. -
Using Artificial Intelligence to Support Compliance with the General Data Protection Regulation. -
Sampled Policy Gradient for Learning to Play the Game Agar.io. -
Joint User Association and BS Switching Scheme for Green Heterogeneous Cellular Network. -
Description, Implementation, and Evaluation of a Generic Design for Tabled CLP. -
Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones. -
Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning. -
Accident Forecasting in CCTV Traffic Camera Videos. -
A blockchain framework for smart mobility. -
GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks. -
Mobility Mode Detection Using WiFi Signals. -
Constant factor FPT approximation for capacitated k-median. -
Direct Training for Spiking Neural Networks: Faster, Larger, Better. -
LVIS: Learning from Value Function Intervals for Contact-Aware Robot Controllers. -
Low synchronization GMRES algorithms. -
Dual Memory Network Model for Biased Product Review Classification. -
Robust Cascade Reconstruction by Steiner Tree Sampling. -
Development of deep learning algorithms to categorize free-text notes pertaining to diabetes: convolution neural networks achieve higher accuracy than support vector machines. -
T* : A Heuristic Search Based Algorithm for Motion Planning with Temporal Goals. -
A Novel Algorithm for Unbiased Learning to Rank. -
Deep Learning with Experience Ranking Convolutional Neural Network for Robot Manipulator. -
Cross-Domain Labeled LDA for Cross-Domain Text Classification. -
Sequence-Subset Distance and Coding for Error Control in DNA-based Data Storage. -
Aesthetic-based Clothing Recommendation. -
Cloud Gaming With Foveated Graphics. -
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds. -
-
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network. -
Usability of the Size, Spacing, and Depth of Virtual Buttons on Head-Mounted Displays. -
Inspecting Interactions: Online News Media Synergies in Social Media. -
Manifest the Invisible: Design for Situational Awareness of Physical Environments in Virtual Reality. -
Pervasive Cloud Controller for Geotemporal Inputs. -
A Generic Multi-modal Dynamic Gesture Recognition System using Machine Learning. -
A Cloud Controller for Performance-Based Pricing. -
Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing. -
Calculation of extended gcd by normalization. -
Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach. -
Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification. -
Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping. -
Energy Efficient Cloud Control and Pricing in Geographically Distributed Data Centers. -
Exploiting Errors for Efficiency: A Survey from Circuits to Algorithms. -
f-VAEs: Improve VAEs with Conditional Flows. -
Cocktails, but no party: multipath-enabled private audio. -
In Defense of the Classification Loss for Person Re-Identification. -
A Study on Shared Steering Control in Driving Experience Perspective: How Strong and How Soon Should Intervention Be? -
Inspiration Learning through Preferences. -
A Data Analytics Framework for Aggregate Data Analysis. -
Road Detection Technique Using Filters with Application to Autonomous Driving System. -
An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles. -
A Reciprocal Formulation of Non-Exponential Radiative Transfer. 2: Monte Carlo Estimation and Diffusion Approximation. -
Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection. -
Semi-Supervised Multi-Task Word Embeddings. -
An investigation of a deep learning based malware detection system. -
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection. -
Semantic Interoperability Middleware Architecture for Heterogeneous Environmental Data Sources. -
Classifying Process Instances Using Recurrent Neural Networks. -
Systems of bounded rational agents with information-theoretic constraints. -
Trends in the Diffusion of Misinformation on Social Media. -
A Storm in an IoT Cup: The Emergence of Cyber-Physical Social Machines. -
MeshCNN: A Network with an Edge. -
Robust and customized methods for real-time hand gesture recognition under object-occlusion. -
Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations. -
Curriculum-Based Neighborhood Sampling For Sequence Prediction. -
Analysis of Dynamic Memory Bandwidth Regulation in Multi-core Real-Time Systems. -
Memory Efficient Experience Replay for Streaming Learning. -
On analyzing and evaluating privacy measures for social networks under active attack. -
I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership. -
A #SAT Algorithm for Small Constant-Depth Circuits with PTF gates. -
Maximum-Entropy Fine-Grained Classification. -
Minimal Realization Problems for Jump Linear Systems. -
The Space-Efficient Core of Vadalog. -
Performance Analysis of Molecular Spatial Modulation (MSM) in Diffusion based Molecular MIMO Communication Systems. -
3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair. -
A Distributed Learning Architecture for Scientific Imaging Problems. -
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels. -
Autonomous drone race: A computationally efficient vision-based navigation and control strategy. -
Lazy Modeling of Variants of Token Swapping Problem and Multi-agent Path Finding through Combination of Satisfiability Modulo Theories and Conflict-based Search. -
Robust Adversarial Perturbation on Deep Proposal-based Models. -
Latent Space Optimal Transport for Generative Models. -
Attacking Object Detectors via Imperceptible Patches on Background. -
The Structure of the Realizations of the Causal Information Rate-Distortion Function for Markovian Sources: Realizations with Densities. -
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization. -
Observation and Distinction. Representing Information in Infinite Games. -
UAV Pose Estimation using Cross-view Geolocalization with Satellite Imagery. -
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis. -
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering. -
Devil in the Details: Towards Accurate Single and Multiple Human Parsing. -
Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. -
Learning to Accept New Classes without Training. -
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection. -
Uncertainty Propagation in Deep Neural Networks Using Extended Kalman Filtering. -
DASNet: Reducing Pixel-level Annotations for Instance and Semantic Segmentation. -
Doppler Spectrum Analysis of a Roadside Scatterer Model for Vehicle-to-Vehicle Channels: An Indirect Method. -
Ciphertext Outdate Attacks on Xu et al.'s Revocable Attribute-Based Encryption Scheme. -
The Impact of On-chip Communication on Memory Technologies for Neuromorphic Systems. -
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based GraphConvolutional Network. -
Authentication of cyber-physical systems under learning-based attacks. -
Autonomous Exploration, Reconstruction, and Surveillance of 3D Environments Aided by Deep Learning. -
BSE: A Minimal Simulation of a Limit-Order-Book Stock Exchange. -
Hybrid Block Diagonalization for Massive MIMO Two-Way Half-Duplex AF Hybrid Relay. -
Binocular Tone Mapping with Improved Overall Contrast and Local Details. -
Multi-Player Bandits: A Trekking Approach. -
Equivalence between pathbreadth and strong pathbreadth. -
BlockTag: Design and applications of a tagging system for blockchain analysis. -
AlSub: Fully Parallel Subdivision for Modeling and Rendering. -
Erratic Extremism causes Dynamic Consensus (a new model for one-dimensional opinion dynamics). -
Understanding and forecasting lifecycle events in information cascades. -
Model-Driven Deep Learning for Physical Layer Communications. -
Contact Adaption during Epidemics: A Multilayer Network Formulation Approach. -
Transparency and Explanation in Deep Reinforcement Learning Neural Networks. -
Object-sensitive Deep Reinforcement Learning. -
Focal Loss in 3D Object Detection. -
Seuillage par hystérésis pour le test de photo-consistance des voxels dans le cadre de la reconstruction 3D. -
An Integral Pose Regression System for the ECCV2018 PoseTrack Challenge. -
Similarity measure for Public Persons. -
Do all citations value the same? Valuing citations by the value of the citing items. -
Policy Optimization via Importance Sampling. -
The Serverless Scheduling Problem and NOAH. -
TDMH-MAC: Real-time and multi-hop in the same wireless MAC. -
Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization. -
Hamiltonicity in Convex Bipartite Graphs. -
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations. -
Muscle Excitation Estimation in Biomechanical Simulation Using NAF Reinforcement Learning. -
Span error bound for weighted SVM with applications in hyperparameter selection. -
DeepDrum: An Adaptive Conditional Neural Network. -
A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration. -
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition. -
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras. -
Faster individual discrete logarithms in finite fields of composite extension degree. -
On the Reconstruction of Static and Dynamic Discrete Structures. -
Open Subtitles Paraphrase Corpus for Six Languages. -
Curriculum goal masking for continuous deep reinforcement learning. -
Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation. -
Dynamics Estimation Using Recurrent Neural Network. -
Categorization of Comparative Sentences for Argument Mining. -
Periocular Recognition Using CNN Features Off-the-Shelf. -
Power Systems Topology and State Estimation by Graph Blind Source Separation. -
Towards Partner-Aware Humanoid Robot Control Under Physical Interactions. -
Graph Neural Networks for IceCube Signal Classification. -
Computer algebra tools for Feynman integrals and related multi-sums. -
Best-case and Worst-case Sparsifiability of Boolean CSPs. -
Investigating Crowd Creativity in Online Music Communities. -
A Classification of BPMN Collaborations based on Safeness and Soundness Notions. -
Learning of Multi-Context Models for Autonomous Underwater Vehicles. -
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach. -
Dual Dense Encoding for Zero-Example Video Retrieval. -
Deploying South African Social Honeypots on Twitter. -
Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository. -
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network. -
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm. -
ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise for Identifying Clusters with Varying Densities. -
A Network Topology Approach to Bot Classification. -
Multi Modal Convolutional Neural Networks for Brain Tumor Segmentation. -
The Fast and the Flexible: training neural networks to learn to follow instructions from small data. -
Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing. -
From Same Photo: Cheating on Visual Kinship Challenges. -
Player Experience Extraction from Gameplay Video. -
Quantum Statistics-Inspired Neural Attention. -
Algorithmic Obfuscation over GF(2m). -
Binary Classification of Alzheimer Disease using sMRI Imaging modality and Deep Learning. -
ManifoldNet: A Deep Network Framework for Manifold-valued Data. -
Context-Dependent Diffusion Network for Visual Relationship Detection. -
Unsupervised Stylish Image Description Generation via Domain Layer Norm. -
Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking. -
A Dataset and Preliminary Results for Umpire Pose Detection Using SVM Classification of Deep Features. -
Facial Recognition with Encoded Local Projections. -
Ensemble learning with 3D convolutional neural networks for connectome-based prediction. -
GANs for Medical Image Analysis. -
Unsupervised Sense-Aware Hypernymy Extraction. -
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition. -
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. -
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior. -
C3LES: Codes for Coded Computation that Leverage Stragglers. -
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. -
Left Ventricle Segmentation and Volume Estimation on Cardiac MRI using Deep Learning. -
Multi-hop assortativities for networks classification. -
Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain Adaptation. -
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. -
Industrial Smoke Detection and Visualization. -
A Strongly Polynomial Algorithm for Linear Exchange Markets. -
PointNetGPD: Detecting Grasp Configurations from Point Sets. -
Vision-based Teleoperation of Shadow Dexterous Hand using End-to-End Deep Neural Network. -
Learning Effective RGB-D Representations for Scene Recognition. -
FormuLog: Datalog for static analysis involving logical formulae. -
Retrospective correction of Rigid and Non-Rigid MR motion artifacts using GANs. -
Style Transfer Through Multilingual and Feedback-Based Back-Translation. -
Resisting Selfish Mining Attacks in the Bicomp. -
Mapping structural diversity in networks sharing a given degree distribution and global clustering: Adaptive resolution grid search evolution with Diophantine equation-based mutations. -
Adversarial Text Generation via Feature-Mover's Distance. -
What increases (social) media attention: Research impact, author prominence or title attractiveness? -
Automata Guided Reinforcement Learning With Demonstrations. -
Commonsense for Generative Multi-Hop Question Answering Tasks. -
Talk to Me: A Case Study on Coordinating Expertise in Large-Scale Scientific Software Projects. -
Novel Approach to Measure Motion-To-Photon and Mouth-To-Ear Latency in Distributed Virtual Reality Systems. -
Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation. -
"FabSearch" : A 3D CAD Model Based Search Engine for Sourcing Manufacturing Services. -
Synchronization of Kuramoto oscillators in a bidirectional frequency-dependent tree network. -
Diffusive MIMO Molecular Communications: Channel Estimation, Equalization and Detection. -
Verification of High-Level Transformations with Inductive Refinement Types. -
Tracking Position and Orientation through Millimeter Wave Lens MIMO in 5G Systems. -
Persistent Coverage Control for Teams of Heterogeneous Agents - Extended Version. -
Satisfiability Bounds for ω-regular Properties in Interval-valued Markov Chains. -
Apple Flower Detection using Deep Convolutional Networks. -
Effective Predictions of Gaokao Admission Scores for College Applications in Mainland China. -
Generalizing Across Multi-Objective Reward Functions in Deep Reinforcement Learning. -
AUEB at BioASQ 6: Document and Snippet Retrieval. -
Scattering Networks for Hybrid Representation Learning. -
Learning to Segment and Represent Motion Primitives from Driving Data for Motion Planning Applications. -
Déjà Vu: an empirical evaluation of the memorization properties of ConvNets. -
Segmenting root systems in X-ray computed tomography images using level sets. -
Hidden Markov Model Estimation-Based Q-learning for Partially Observable Markov Decision Process. -
Crowdsourcing Lung Nodules Detection and Annotation. -
Adversarial Imitation via Variational Inverse Reinforcement Learning. -
Crowd-Assisted Polyp Annotation of Virtual Colonoscopy Videos. -
The Rosario Dataset: Multisensor Data for Localization and Mapping in Agricultural Environments. -
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. -
Radiative Transport Based Flame Volume Reconstruction from Videos. -
Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data. -
A Convex-Combinatorial Model for Planar Caging. -
Node classification for signed networks using diffuse interface methods. -
Computing Wasserstein Distance for Persistence Diagrams on a Quantum Computer. -
Contact-Implicit Trajectory Optimization using Orthogonal Collocation. -
Fast embedding of multilayer networks: An algorithm and application to group fMRI. -
The Effective Geometry Monte Carlo Algorithm: Applications to Molecular Communication. -
LMap: Shape-Preserving Local Mappings for Biomedical Visualization. -
Robust Spoken Language Understanding via Paraphrasing. -
Efficient 2D-3D Matching for Multi-Camera Visual Localization. -
Robustness Guarantees for Bayesian Inference with Gaussian Processes. -
Mask Editor : an Image Annotation Tool for Image Segmentation Tasks. -
Self Configuration in Machine Learning. -
Ground vehicle odometry using a non-intrusive inertial speed sensor. -
Towards Deep and Representation Learning for Talent Search at LinkedIn. -
Active Anomaly Detection via Ensembles. -
Transfer Entropy in MDPs with Temporal Logic Specifications. -
Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned. -
On Misinformation Containment in Online Social Networks. -
In-Session Personalization for Talent Search. -
Triad-based Neural Network for Coreference Resolution. -
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples. -
Magnetic Navigation of a Rotating Colloidal Swarm Using Ultrasound Images. -
Analysis of Bag-of-n-grams Representation's Properties Based on Textual Reconstruction. -
On the Partition Set Cover Problem. -
Scene Text Recognition from Two-Dimensional Perspective. -
Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network. -
A White-Noise-On-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3). -
Random problems with R. -
Concentration Inequalities for the Empirical Distribution. -
Formal Barriers to Longest-Chain Proof-of-Stake Protocols. -
Performance Analysis and Modeling of Video Transcoding Using Heterogeneous Cloud Services. -
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. -
Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log data: a case study for the lane keeping assistance system. -
Leveraging Computational Reuse for Cost- and QoS-Efficient Task Scheduling in Clouds. -
Automatic Judgment Prediction via Legal Reading Comprehension. -
Deep Textured 3D Reconstruction of Human Bodies. -
Joint User Association and Resource Allocation Optimization for Ultra Reliable Low Latency HetNets. -
Block Chain based Intelligent Industrial Network (DSDIN). -
Image Super-Resolution via Deterministic-Stochastic Synthesis and Local Statistical Rectification. -
User Information Augmented Semantic Frame Parsing using Coarse-to-Fine Neural Networks. -
Low-Latency Short-Packet Transmissions: Fixed Length or HARQ? -
A Simple Approximation for a Hard Routing Problem. -
Utilizing Network Structure to Bound the Convergence Rate in Markov Chain Monte Carlo Algorithms. -
Connectivity and Structure in Large Networks. -
MBS: Macroblock Scaling for CNN Model Reduction. -
Runtime Monitoring Neuron Activation Patterns. -
U-Net for MAV-based Penstock Inspection: an Investigation of Focal Loss in Multi-class Segmentation for Corrosion Identification. -
Towards a symbolic summation theory for unspecified sequences. -
Symbolic Tensor Neural Networks for Digital Media - from Tensor Processing via BNF Graph Rules to CREAMS Applications. -
Performance Analysis of Symmetric Key Ciphers in Linear and Grid Based Sensor Networks. -
Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. -
Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing. -
Proceedings of the AI-HRI Symposium at AAAI-FSS 2018. -
Isolating SDN Control Traffic with Layer-2 Slicing in 6TiSCH Industrial IoT Networks. -
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions. -
Fast Autonomous Flight in Warehouses for Inventory Applications. -
Towards Abstraction in ASP with an Application on Reasoning about Agent Policies. -
Lung Cancer Concept Annotation from Spanish Clinical Narratives. -
Neural Network Decoders for Large-Distance 2D Toric Codes. -
Talking to myself: self-dialogues as data for conversational agents. -
Model-Free Adaptive Optimal Control of Sequential Manufacturing Processes using Reinforcement Learning. -
Attribute Enhanced Face Aging with Wavelet-based Generative Adversarial Networks. -
Local Reconstruction Codes: A Class of MDS-PIR Capacity-Achieving Codes. -
Probing Limits of Information Spread with Sequential Seeding. -
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization. -
Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images. -
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes. -
Compressed Sensing Parallel MRI with Adaptive Shrinkage TV Regularization. -
Extraction of SSVEPs-based Inherent Fuzzy Entropy Using a Wearable Headband EEG in Migraine Patients. -
Dynamically Weighted Ensemble-based Prediction System for Adaptively Modeling Driver Reaction Time. -
RumourEval 2019: Determining Rumour Veracity and Support for Rumours. -
Average performance of Orthogonal Matching Pursuit (OMP) for sparse approximation. -
GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation. -
Adding Cues to Binary Feature Descriptors for Visual Place Recognition. -
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. -
Capsule Deep Neural Network for Recognition of Historical Graffiti Handwriting. -
Underlay Drone Cell for Temporary Events: Impact of Drone Height and Aerial Channel Environments. -
Π-cyc: A Reference-free SNP Discovery Application using Parallel Graph Search. -
Is rotation forest the best classifier for problems with continuous features? -
Multiple Combined Constraints for Image Stitching. -
Strange Attractor in Density Evolution. -
Document Informed Neural Autoregressive Topic Models with Distributional Prior. -
Controller Synthesis for Discrete-time Hybrid Polynomial Systems via Occupation Measures. -
A Fog Robotic System for Dynamic Visual Servoing. -
Improvements on Hindsight Learning. -
Decision-support for the Masses by Enabling Conversations with Open Data. -
Optimal strategies for patrolling fences. -
Validating the Claim - Defeating HaTCh : Building Malicious IP cores. -
Bridging the Gap Between Safety and Real-Time Performance in Receding-Horizon Trajectory Design for Mobile Robots. -
Transfer and Multi-Task Learning for Noun-Noun Compound Interpretation. -
Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes. -
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers. -
3D segmentation of mandible from multisectional CT scans by convolutional neural networks. -
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine. -
On a Convex Logic Fragment for Learning and Reasoning. -
Visual Diagnostics for Deep Reinforcement Learning Policy Development. -
Generalized Content-Preserving Warps for Image Stitching. -
Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks. -
Nonconvex Demixing From Bilinear Measurements. -
Supervised Autonomous Locomotion and Manipulation for Disaster Response with a Centaur-like Robot. -
-
Branch-and-bound for bi-objective integer programming. -
Finding k-Dissimilar Paths with Minimum Collective Length. -
Albumentations: fast and flexible image augmentations. -
Device-to-Device Secure Coded Caching. -
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows. -
MNIST Dataset Classification Utilizing k-NN Classifier with Modified Sliding Window Metric. -
On the Learning Dynamics of Deep Neural Networks. -
Towards a Generic Diver-Following Algorithm: Balancing Robustness and Efficiency in Deep Visual Detection. -
FRAGE: Frequency-Agnostic Word Representation. -
HDTCat: let's make HDT scale. -
Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity. -
Binary Proportional Pairing Functions. -
SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning. -
Improving Moderation of Online Discussions via Interpretable Neural Models. -
Identification of FIR Systems with Binary Input and Output Observations. -
Testing SensoGraph, a geometric approach for fast sensory evaluation. -
Security and Protocol Exploit Analysis of the 5G Specifications. -
The Archive and Package (arcp) URI scheme. -
Exploration vs. Exploitation in Team Formation. -
Argumentation Mining: Exploiting Multiple Sources and Background Knowledge. -
Mind Your POV: Convergence of Articles and Editors Towards Wikipedia's Neutrality Norm. -
Qualitative Reachability for Open Interval Markov Chains. -
PAIM: Platoon-based Autonomous Intersection Management. -
Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent. -
Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities. -
Multi-Task Learning for Machine Reading Comprehension. -
A Study on Deep Learning Based Sauvegrain Method for Measurement of Puberty Bone Age. -
Linear SLAM: Linearising the SLAM Problems using Submap Joining. -
Approximate Nash Region of the Gaussian Interference Channel with Noisy Output Feedback. -
FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices. -
Mapless Online Detection of Dynamic Objects in 3D Lidar. -
Wearable-based Mediation State Detection in Individuals with Parkinson's Disease. -
A Study of Energy Trading in a Low-Voltage Network: Centralised and Distributed Approaches. -
Decentralized P2P Energy Trading under Network Constraints in a Low-Voltage Network. -
An Orientation Factor for Object-Oriented SLAM. -
Sublinear Time Low-Rank Approximation of Distance Matrices. -
Data-Driven Clustering via Parameterized Lloyd's Families. -
Gwardar: Towards Protecting a Software-Defined Network from Malicious Network Operating Systems. -
Causal Testing: Finding Defects' Root Causes. -
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. -
Deep-learning models improve on community-level diagnosis for common congenital heart disease lesions. -
Interpretable Reinforcement Learning with Ensemble Methods. -
Leveraging Contact Forces for Learning to Grasp. -
Tail redundancy and its characterization of compression of memoryless sources. -
Using Eigencentrality to Estimate Joint, Conditional and Marginal Probabilities from Mixed-Variable Data: Method and Applications. -
-
Extreme Scale De Novo Metagenome Assembly. -
Generating 3D Adversarial Point Clouds. -
Removing the Feature Correlation Effect of Multiplicative Noise. -
The Key Concepts of Ethics of Artificial Intelligence - A Keyword based Systematic Mapping Study. -
Optimal Deployment of Drone Base Stations for Cellular Communication by Network-based Localization. -
Deployment of Drone Base Stations for Cellular Communication Without Apriori User Distribution Information. -
Divide and Conquer: Recovering Contextual Information of Behaviors in Android Apps around Limited-quantity Audit Logs. -
-
Smart False Data Injection attacks against State Estimation in Power Grid. -
Exploring Visual Relationship for Image Captioning. -
-
A Methodology for Search Space Reduction in QoS Aware Semantic Web Service Composition. -
Privacy-Preserving DDoS Attack Detection Using Cross-Domain Traffic in Software Defined Networks. -
New approach for solar tracking systems based on computer vision, low cost hardware and deep learning. -
Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation. -
NAIS: Neural Attentive Item Similarity Model for Recommendation. -
Privacy-Preserving SVM Computing by Using Random Unitary Transformation. -
Planning Hybrid Driving-Stepping Locomotion on Multiple Levels of Abstraction. -
Adversarial Training Towards Robust Multimedia Recommender System. -
Anytime Hybrid Driving-Stepping Locomotion Planning. -
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning. -
Encoding two-dimensional range top-k queries revisited. -
Faster Training of Mask R-CNN by Focusing on Instance Boundaries. -
Latent Topic Conversational Models. -
What Role Can NOMA Play in Massive MIMO? -
Stair Climbing Stabilization of the HRP-4 Humanoid Robot using Whole-body Admittance Control. -