cs.AI - 人工智能
cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.MM - 多媒体 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习
• [cs.AI]Clinical acceptance of software based on artificial intelligence technologies (radiology)
• [cs.AI]Deduction Theorem: The Problematic Nature of Common Practice in Game Theory
• [cs.AI]Domain-Independent Cost-Optimal Planning in ASP
• [cs.AI]EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data
• [cs.AI]Neural Simplex Architecture
• [cs.CL]Dolphin: A Verbal Fluency Evaluation System for Elementary Education
• [cs.CL]GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
• [cs.CL]JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English
• [cs.CL]MSnet: A BERT-based Network for Gendered Pronoun Resolution
• [cs.CL]MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible
• [cs.CL]Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning
• [cs.CL]Simple and Effective Text Matching with Richer Alignment Features
• [cs.CR]KiloGrams: Very Large N-Grams for Malware Classification
• [cs.CR]Optimal Deployments of Defense Mechanisms for the Internet of Things
• [cs.CV]3D Virtual Garment Modeling from RGB Images
• [cs.CV]A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
• [cs.CV]A Unified Point-Based Framework for 3D Segmentation
• [cs.CV]An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation
• [cs.CV]Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion
• [cs.CV]Central Similarity Hashing via Hadamard matrix
• [cs.CV]Competing Ratio Loss for Discriminative Multi-class Image Classification
• [cs.CV]Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss
• [cs.CV]Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
• [cs.CV]Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
• [cs.CV]DIODE: A Dense Indoor and Outdoor DEpth Dataset
• [cs.CV]DROGON: A Causal Reasoning Framework for Future Trajectory Forecast
• [cs.CV]Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa
• [cs.CV]Extract and Merge: Merging extracted humans from different images utilizing Mask R-CNN
• [cs.CV]Falls Prediction Based on Body Keypoints and Seq2Seq Architecture
• [cs.CV]Few-Shot Meta-Denoising
• [cs.CV]Generative Image Inpainting with Submanifold Alignment
• [cs.CV]Image Captioning with Unseen Objects
• [cs.CV]Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
• [cs.CV]Learning to Adapt Invariance in Memory for Person Re-identification
• [cs.CV]Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images
• [cs.CV]Multi-path Learning for Object Pose Estimation Across Domains
• [cs.CV]OCT Fingerprints: Resilience to Presentation Attacks
• [cs.CV]Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
• [cs.CV]Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
• [cs.CV]Pyramid Real Image Denoising Network
• [cs.CV]Scalable Place Recognition Under Appearance Change for Autonomous Driving
• [cs.CV]ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection
• [cs.CV]ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences
• [cs.CV]Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
• [cs.CV]Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
• [cs.CV]Two-Stream Video Classification with Cross-Modality Attention
• [cs.CV]Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors
• [cs.CY]Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News
• [cs.CY]GrfKids: Development of a Greek language teaching platform via a Learning Management System for primary school pupils with Russian as a mother tongue
• [cs.DC]A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
• [cs.DC]An Asymptotically Optimal Channel Hopping Sequence with Maximum Rendezvous Diversity
• [cs.DC]Distributed Streaming Analytics on Large-scale Oceanographic Data using Apache Spark
• [cs.DC]GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation
• [cs.DC]Popt4jlib: A Parallel/Distributed Optimization Library for Java
• [cs.DS]Distributed Data Summarization in Well-Connected Networks
• [cs.DS]New Techniques for Graph Edit Distance Computation
• [cs.DS]Sublinear Subwindow Search
• [cs.GR]Software-Enhanced Teaching and Visualization Capabilities of an Ultra-High-Resolution Video Wall
• [cs.HC]Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
• [cs.HC]Cultural association based on machine learning for team formation
• [cs.HC]FairSight: Visual Analytics for Fairness in Decision Making
• [cs.IR]Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
• [cs.IR]MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
• [cs.IR]Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach
• [cs.IR]Session-Based Hotel Recommendations: Challenges and Future Directions
• [cs.IR]Sudden Death: A New Way to Compare Recommendation Diversification
• [cs.IT]General Information Theory: Time and Information
• [cs.IT]Pilot-Based Channel Estimation Design in Covert Wireless Communication
• [cs.LG]Accelerating CNN Training by Sparsifying Activation Gradients
• [cs.LG]Adversarial Robustness Curves
• [cs.LG]Chainer: A Deep Learning Framework for Accelerating the Research Cycle
• [cs.LG]Continual Learning via Online Leverage Score Sampling
• [cs.LG]Deep Gaussian networks for function approximation on data defined manifolds
• [cs.LG]Featuring the topology with the unsupervised machine learning
• [cs.LG]Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview
• [cs.LG]How Good is SGD with Random Shuffling?
• [cs.LG]Learning Joint Acoustic-Phonetic Word Embeddings
• [cs.LG]Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT
• [cs.LG]Machine Learning at the Network Edge: A Survey
• [cs.LG]Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes
• [cs.LG]Reinforcement Learning for Personalized Dialogue Management
• [cs.LG]Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
• [cs.LO]Solving a Flowshop Scheduling Problem with Answer Set Programming: Exploiting the Problem to Reduce the Number of Combinations
• [cs.MM]Quality Assessment of In-the-Wild Videos
• [cs.NE]Estimation of Tire-Road Friction for Autonomous Vehicles: a Neural Network Approach
• [cs.RO]A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision
• [cs.RO]Automatic pre-grasps generation for unknown 3D objects
• [cs.RO]DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments
• [cs.RO]Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories
• [cs.RO]Deep Sensor Fusion for Real-Time Odometry Estimation
• [cs.RO]Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control
• [cs.SI]Cross-domain Network Representations
• [cs.SI]Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media
• [cs.SI]Maximum likelihood estimation of power-law degree distributions using friendship paradox based sampling
• [cs.SI]Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient
• [cs.SI]Sampling on networks: estimating eigenvector centrality on incomplete graphs
• [cs.SI]Supervised Learning of the Global Risk Network Activation from Media Event Reports
• [eess.IV]GANs ‘N Lungs: improving pneumonia prediction
• [eess.IV]InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
• [eess.IV]Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results
• [eess.IV]Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion
• [eess.SP]Achievable Degrees of Freedom for Closed-form Solution to Interference Alignment and Cancellation in Gaussian Interference Multiple Access Channel
• [eess.SP]Directional Measurements in Urban Street Canyons from Macro Rooftop Sites at 28 GHz for 90% Outdoor Coverage
• [eess.SP]FCFGS-CV-Based Channel Estimation for Wideband MmWave Massive MIMO Systems with Low-Resolution ADCs
• [eess.SP]First Experimental Demonstration of Probabilistic Enumerative Sphere Shaping in Optical Fiber Communications
• [eess.SP]Gradient Pursuit-Based Channel Estimation for MmWave Massive MIMO Systems with One-Bit ADCs
• [eess.SP]Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes
• [eess.SP]LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
• [eess.SP]Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach
• [math.CO]Existence of some optimal maximal entanglement entanglement-assisted quantum codes
• [math.CO]On the existence of paradoxical motions of generically rigid graphs on the sphere
• [math.NA]On the stable sampling rate for binary measurements and wavelet reconstruction
• [math.OC]Adaptive Kernel Learning in Heterogeneous Networks
• [math.OC]Gradient Flow Algorithms for Density Propagation in Stochastic Systems
• [math.OC]Neural networks-based backward scheme for fully nonlinear PDEs
• [math.OC]pySOT and POAP: An event-driven asynchronous framework for surrogate optimization
• [math.ST]Bias Correction and Robust Inference in Semiparametric Models
• [math.ST]General proof of a limit related to AR(k) model of Statistics
• [physics.med-ph]Meta-QSM: An Image-Resolution-Arbitrary Network for QSM Reconstruction
• [physics.soc-ph]Influencer identification in dynamical complex systems
• [stat.AP]Bivariate temporal orders for causal inference
• [stat.AP]Groundwater pumping to increase food production causes persistent groundwater drought in India
• [stat.AP]Mapping the uncertainty of 19th century West African slave origins using a Markov decision process model
• [stat.AP]Network Dependence and Confounding by Network Structure Lead to Invalid Inference
• [stat.AP]Projection pursuit based generalized betas accounting for higher order co-moment effects in financial market analysis
• [stat.CO]Updating Variational Bayes: Fast sequential posterior inference
• [stat.ME]Finite-sample properties of robust location and scale estimators
• [stat.ME]Forecasting functional time series using weighted likelihood methodology
• [stat.ME]Jackknife Empirical Likelihood Approach for K-sample Tests
• [stat.ME]Optimum Testing Time of Software using Size-Biased Concepts
• [stat.ME]Testing for Externalities in Network Formation Using Simulation
• [stat.ML]Conditional independence testing: a predictive perspective
• [stat.ML]Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance
• [stat.ML]No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization
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• [cs.AI]Clinical acceptance of software based on artificial intelligence technologies (radiology)
S. P. Morozov, A. V. Vladzymyrskyy, V. G. Klyashtornyy, A. E. Andreychenko, N. S. Kulberg, V. A. Gombolevsky
http://arxiv.org/abs/1908.00381v1
• [cs.AI]Deduction Theorem: The Problematic Nature of Common Practice in Game Theory
Holger I. Meinhardt
http://arxiv.org/abs/1908.00409v1
• [cs.AI]Domain-Independent Cost-Optimal Planning in ASP
David Spies, Jia-Huai You, Ryan Hayward
http://arxiv.org/abs/1908.00112v1
• [cs.AI]EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data
Zhuochen Jin, Nan Cao, Yang Shi, Hanghang Tong, Yingcai Wu
http://arxiv.org/abs/1908.00181v1
• [cs.AI]Neural Simplex Architecture
Dung Phan, Nicola Paoletti, Radu Grosu, Nils Jansen, Scott A. Smolka, Scott D. Stoller
http://arxiv.org/abs/1908.00528v1
• [cs.CL]Dolphin: A Verbal Fluency Evaluation System for Elementary Education
Zitao Liu, Guowei Xu, Tianqiao Liu, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Gale Yan Huang
http://arxiv.org/abs/1908.00358v1
• [cs.CL]GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
Yu Chen, Lingfei Wu, Mohammed J. Zaki
http://arxiv.org/abs/1908.00059v1
• [cs.CL]JUCBNMT at WMT2018 News Translation Task: Character Based Neural Machine Translation of Finnish to English
Sainik Kumar Mahata, Dipankar Das, Sivaji Bandyopadhyay
http://arxiv.org/abs/1908.00323v1
• [cs.CL]MSnet: A BERT-based Network for Gendered Pronoun Resolution
Zili Wang
http://arxiv.org/abs/1908.00308v1
• [cs.CL]MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible
Marcely Zanon Boito, William N. Havard, Mahault Garnerin, Éric Le Ferrand, Laurent Besacier
http://arxiv.org/abs/1907.12895v2
• [cs.CL]Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning
Avishek Garain, Sainik Kumar Mahata
http://arxiv.org/abs/1908.00321v1
• [cs.CL]Simple and Effective Text Matching with Richer Alignment Features
Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen
http://arxiv.org/abs/1908.00300v1
• [cs.CR]KiloGrams: Very Large N-Grams for Malware Classification
Edward Raff, William Fleming, Richard Zak, Hyrum Anderson, Bill Finlayson, Charles Nicholas, Mark McLean
http://arxiv.org/abs/1908.00200v1
• [cs.CR]Optimal Deployments of Defense Mechanisms for the Internet of Things
Mengmeng Ge, Jin-Hee Cho, Charles A. Kamhoua, Dong Seong Kim
http://arxiv.org/abs/1908.00324v1
• [cs.CV]3D Virtual Garment Modeling from RGB Images
Yi Xu, Shanglin Yang, Wei Sun, Li Tan, Kefeng Li, Hui Zhou
http://arxiv.org/abs/1908.00114v1
• [cs.CV]A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li
http://arxiv.org/abs/1908.00473v1
• [cs.CV]A Unified Point-Based Framework for 3D Segmentation
Hungyueh Chiang, Yenliang Lin, Yuehcheng Liu, Winston H. Hsu
http://arxiv.org/abs/1908.00478v1
• [cs.CV]An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup
http://arxiv.org/abs/1908.00061v1
• [cs.CV]Cascaded Context Pyramid for Full-Resolution 3D Semantic Scene Completion
Pingping Zhang, Wei Liu, Yinjie Lei, Huchuan Lu, Xiaoyun Yang
http://arxiv.org/abs/1908.00382v1
• [cs.CV]Central Similarity Hashing via Hadamard matrix
Li Yuan, Tao Wang, Xiaopeng Zhang, Zequn Jie, Francis EH Tay, Jiashi Feng
http://arxiv.org/abs/1908.00347v1
• [cs.CV]Competing Ratio Loss for Discriminative Multi-class Image Classification
Ke Zhang, Xinsheng Wang, Yurong Guo, Zhenbing Zhao, Zhanyu Ma, Tony X. Han
http://arxiv.org/abs/1907.13349v2
• [cs.CV]Content and Colour Distillation for Learning Image Translations with the Spatial Profile Loss
M. Saquib Sarfraz, Constantin Seibold, Haroon Khalid, Rainer Stiefelhagen
http://arxiv.org/abs/1908.00274v1
• [cs.CV]Convolutional Auto-encoding of Sentence Topics for Image Paragraph Generation
Jing Wang, Yingwei Pan, Ting Yao, Jinhui Tang, Tao Mei
http://arxiv.org/abs/1908.00249v1
• [cs.CV]Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation
Yadan Luo, Zi Huang, Zheng Zhang, Jingjing Li, Yang Yang
http://arxiv.org/abs/1908.00169v1
• [cs.CV]DIODE: A Dense Indoor and Outdoor DEpth Dataset
Igor Vasiljevic, Nick Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart, Matthew R. Walter, Gregory Shakhnarovich
http://arxiv.org/abs/1908.00463v1
• [cs.CV]DROGON: A Causal Reasoning Framework for Future Trajectory Forecast
Chiho Choi, Abhishek Patil, Srikanth Malla
http://arxiv.org/abs/1908.00024v1
• [cs.CV]Efficient Machine Learning for Large-Scale Urban Land-Use Forecasting in Sub-Saharan Africa
Daniel Omeiza
http://arxiv.org/abs/1908.00340v1
• [cs.CV]Extract and Merge: Merging extracted humans from different images utilizing Mask R-CNN
Asati Minkesh, Kraisittipong Worranitta, Miyachi Taizo
http://arxiv.org/abs/1908.00398v1
• [cs.CV]Falls Prediction Based on Body Keypoints and Seq2Seq Architecture
Minjie Hua, Yibing Nan, Shiguo Lian
http://arxiv.org/abs/1908.00275v1
• [cs.CV]Few-Shot Meta-Denoising
Leslie Casas, Gustavo Carneiro, Nassir Navab, Vasileios Belagiannis
http://arxiv.org/abs/1908.00111v1
• [cs.CV]Generative Image Inpainting with Submanifold Alignment
Ang Li, Jianzhong Qi, Rui Zhang, Xingjun Ma, Kotagiri Ramamohanarao
http://arxiv.org/abs/1908.00211v1
• [cs.CV]Image Captioning with Unseen Objects
Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis
http://arxiv.org/abs/1908.00047v1
• [cs.CV]Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
Nicolas Marchal, Charlotte Moraldo, Roland Siegwart, Hermann Blum, Cesar Cadena, Abel Gawel
http://arxiv.org/abs/1908.00448v1
• [cs.CV]Learning to Adapt Invariance in Memory for Person Re-identification
Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
http://arxiv.org/abs/1908.00485v1
• [cs.CV]Moulding Humans: Non-parametric 3D Human Shape Estimation from Single Images
Valentin Gabeur, Jean-Sebastien Franco, Xavier Martin, Cordelia Schmid, Gregory Rogez
http://arxiv.org/abs/1908.00439v1
• [cs.CV]Multi-path Learning for Object Pose Estimation Across Domains
Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel
http://arxiv.org/abs/1908.00151v1
• [cs.CV]OCT Fingerprints: Resilience to Presentation Attacks
Tarang Chugh, Anil K. Jain
http://arxiv.org/abs/1908.00102v1
• [cs.CV]Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
Nao Mishima, Tatsuo Kozakaya, Akihisa Moriya, Ryuzo Okada, Shinsaku Hiura
http://arxiv.org/abs/1908.00329v1
• [cs.CV]Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim
http://arxiv.org/abs/1908.00262v1
• [cs.CV]Pyramid Real Image Denoising Network
Yiyun Zhao, Zhuqing Jiang, Aidong Men, Guodong Ju
http://arxiv.org/abs/1908.00273v1
• [cs.CV]Scalable Place Recognition Under Appearance Change for Autonomous Driving
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian Reid
http://arxiv.org/abs/1908.00178v1
• [cs.CV]ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection
Jin Hyeok Yoo, Seong Hyeon Park, Jun Won Choi
http://arxiv.org/abs/1908.00328v1
• [cs.CV]ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences
Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
http://arxiv.org/abs/1908.00120v1
• [cs.CV]Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
Diego R. Lucio, Rayson Laroca, Luiz A. Zanlorensi, Gladston Moreira, David Menotti
http://arxiv.org/abs/1908.00069v1
• [cs.CV]Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling
Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou
http://arxiv.org/abs/1908.00222v1
• [cs.CV]Two-Stream Video Classification with Cross-Modality Attention
Lu Chi, Guiyu Tian, Yadong Mu, Qi Tian
http://arxiv.org/abs/1908.00497v1
• [cs.CV]Visual Place Recognition for Aerial Robotics: Exploring Accuracy-Computation Trade-off for Local Image Descriptors
Bruno Ferrarini, Maria Waheed, Sania Waheed, Shoaib Ehsan, Michael Milford, Klaus D. McDonald-Maier
http://arxiv.org/abs/1908.00258v1
• [cs.CY]Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News
Jack Bandy, Nicholas Diakopoulos
http://arxiv.org/abs/1908.00456v1
• [cs.CY]GrfKids: Development of a Greek language teaching platform via a Learning Management System for primary school pupils with Russian as a mother tongue
Eleni Michailidi, Ioannis Skordas, Maria Papatsimouli, Lazaros Lazaridis, Heracles Michailidis, Stavroula Tavoultzidou, George F. Fragulis
http://arxiv.org/abs/1908.00337v1
• [cs.DC]A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
http://arxiv.org/abs/1907.13030v2
• [cs.DC]An Asymptotically Optimal Channel Hopping Sequence with Maximum Rendezvous Diversity
Cheng-Shang Chang, Jang-Ping Sheu
http://arxiv.org/abs/1908.00198v1
• [cs.DC]Distributed Streaming Analytics on Large-scale Oceanographic Data using Apache Spark
Janak Dahal, Elias Ioup, Shaikh Arifuzzaman, Mahdi Abdelguerfi
http://arxiv.org/abs/1907.13264v2
• [cs.DC]GLU3.0: Fast GPU-based Parallel Sparse LU Factorization for Circuit Simulation
Shaoyi Peng, Sheldon X. -D. Tan
http://arxiv.org/abs/1908.00204v1
• [cs.DC]Popt4jlib: A Parallel/Distributed Optimization Library for Java
Ioannis T. Christou
http://arxiv.org/abs/1908.00338v1
• [cs.DS]Distributed Data Summarization in Well-Connected Networks
Hsin-Hao Su, Hoa T. Vu
http://arxiv.org/abs/1908.00236v1
• [cs.DS]New Techniques for Graph Edit Distance Computation
David B. Blumenthal
http://arxiv.org/abs/1908.00265v1
• [cs.DS]Sublinear Subwindow Search
Max Reuter, Gheorghe-Teodor Bercea
http://arxiv.org/abs/1908.00140v1
• [cs.GR]Software-Enhanced Teaching and Visualization Capabilities of an Ultra-High-Resolution Video Wall
Ramses van Zon, Marcelo Ponce
http://arxiv.org/abs/1908.00056v1
• [cs.HC]Ablate, Variate, and Contemplate: Visual Analytics for Discovering Neural Architectures
Dylan Cashman, Adam Perer, Remco Chang, Hendrik Strobelt
http://arxiv.org/abs/1908.00387v1
• [cs.HC]Cultural association based on machine learning for team formation
Hrishikesh Kulkarni, Bradly Alicea
http://arxiv.org/abs/1908.00234v1
• [cs.HC]FairSight: Visual Analytics for Fairness in Decision Making
Yongsu Ahn, Yu-Ru Lin
http://arxiv.org/abs/1908.00176v1
• [cs.IR]Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy, Abdalghani Abujabal, Yafang Wang, Gerhard Weikum
http://arxiv.org/abs/1908.00469v1
• [cs.IR]MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee, Jinbae Im, Seongwon Jang, Hyunsouk Cho, Sehee Chung
http://arxiv.org/abs/1908.00413v1
• [cs.IR]Personalized, Health-Aware Recipe Recommendation: An Ensemble Topic Modeling Based Approach
Mansura A. Khan, Ellen Rushe, Barry Smyth, David Coyle
http://arxiv.org/abs/1908.00148v1
• [cs.IR]Session-Based Hotel Recommendations: Challenges and Future Directions
Jens Adamczak, Gerard-Paul Leyson, Peter Knees, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Julia Neidhardt, Wolfgang Wörndl, Philipp Monreal
http://arxiv.org/abs/1908.00071v1
• [cs.IR]Sudden Death: A New Way to Compare Recommendation Diversification
Derek Bridge, Mesut Kaya, Pablo Castells
http://arxiv.org/abs/1908.00419v1
• [cs.IT]General Information Theory: Time and Information
Yilun Liu, Lidong Zhu
http://arxiv.org/abs/1908.00301v1
• [cs.IT]Pilot-Based Channel Estimation Design in Covert Wireless Communication
Tingzhen Xu, Linlin Sun, Shihao Yan, Jinsong Hu, Feng Shu
http://arxiv.org/abs/1908.00226v1
• [cs.LG]Accelerating CNN Training by Sparsifying Activation Gradients
Xucheng Ye, Jianlei Yang, Pengcheng Dai, Yiran Chen, Weisheng Zhao
http://arxiv.org/abs/1908.00173v1
• [cs.LG]Adversarial Robustness Curves
Christina Göpfert, Jan Philip Göpfert, Barbara Hammer
http://arxiv.org/abs/1908.00096v1
• [cs.LG]Chainer: A Deep Learning Framework for Accelerating the Research Cycle
Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent
http://arxiv.org/abs/1908.00213v1
• [cs.LG]Continual Learning via Online Leverage Score Sampling
Dan Teng, Sakyasingha Dasgupta
http://arxiv.org/abs/1908.00355v1
• [cs.LG]Deep Gaussian networks for function approximation on data defined manifolds
Hrushikesh Mhaskar
http://arxiv.org/abs/1908.00156v1
• [cs.LG]Featuring the topology with the unsupervised machine learning
Kenji Fukushima, Shotaro Shiba Funai, Hideaki Iida
http://arxiv.org/abs/1908.00281v1
• [cs.LG]Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview
Jiawei Zhang
http://arxiv.org/abs/1908.00187v1
• [cs.LG]How Good is SGD with Random Shuffling?
Itay Safran, Ohad Shamir
http://arxiv.org/abs/1908.00045v1
• [cs.LG]Learning Joint Acoustic-Phonetic Word Embeddings
Mohamed El-Geish
http://arxiv.org/abs/1908.00493v1
• [cs.LG]Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT
Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam
http://arxiv.org/abs/1908.00195v1
• [cs.LG]Machine Learning at the Network Edge: A Survey
M. G. Sarwar Murshed, Christopher Murphy, Daqing Hou, Nazar Khan, Ganesh Ananthanarayanan, Faraz Hussain
http://arxiv.org/abs/1908.00080v1
• [cs.LG]Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes
Alekh Agarwal, Sham M. Kakade, Jason D. Lee, Gaurav Mahajan
http://arxiv.org/abs/1908.00261v1
• [cs.LG]Reinforcement Learning for Personalized Dialogue Management
Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman
http://arxiv.org/abs/1908.00286v1
• [cs.LG]Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
Jacob Harer, Chris Reale, Peter Chin
http://arxiv.org/abs/1908.00449v1
• [cs.LO]Solving a Flowshop Scheduling Problem with Answer Set Programming: Exploiting the Problem to Reduce the Number of Combinations
Carmen Leticia García-Mata, Pedro Rafael Márquez-Gutiérrez
http://arxiv.org/abs/1908.00183v1
• [cs.MM]Quality Assessment of In-the-Wild Videos
Dingquan Li, Tingting Jiang, Ming Jiang
http://arxiv.org/abs/1908.00375v1
• [cs.NE]Estimation of Tire-Road Friction for Autonomous Vehicles: a Neural Network Approach
Alexandre M. Ribeiro, Alexandra B. Moutinho, André R. Fioravanti, Ely C. de Paiva
http://arxiv.org/abs/1908.00452v1
• [cs.RO]A Framework for Depth Estimation and Relative Localization of Ground Robots using Computer Vision
Romulo T. Rodrigues, Pedro Miraldo, Dimos V. Dimarogonas, A. Pedro Aguiar
http://arxiv.org/abs/1908.00309v1
• [cs.RO]Automatic pre-grasps generation for unknown 3D objects
IA Sainul, Sankha Deb, AK Deb
http://arxiv.org/abs/1908.00221v1
• [cs.RO]DEDUCE: Diverse scEne Detection methods in Unseen Challenging Environments
Anwesan Pal, Carlos Nieto-Granda, Henrik I. Christensen
http://arxiv.org/abs/1908.00191v1
• [cs.RO]Deep Kinematic Models for Physically Realistic Prediction of Vehicle Trajectories
Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley, Nemanja Djuric
http://arxiv.org/abs/1908.00219v1
• [cs.RO]Deep Sensor Fusion for Real-Time Odometry Estimation
Michelle Valente, Cyril Joly, Arnaud de La Fortelle
http://arxiv.org/abs/1908.00524v1
• [cs.RO]Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control
Tommy Tram, Ivo Batkovic, Mohammad Ali, Jonas Sjöberg
http://arxiv.org/abs/1908.00177v1
• [cs.SI]Cross-domain Network Representations
Shan Xue, Jie Lu, Guangquan Zhang
http://arxiv.org/abs/1908.00205v1
• [cs.SI]Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media
Nuha Albadi, Maram Kurdi, Shivakant Mishra
http://arxiv.org/abs/1908.00153v1
• [cs.SI]Maximum likelihood estimation of power-law degree distributions using friendship paradox based sampling
Buddhika Nettasinghe, Vikram Krishnamurthy
http://arxiv.org/abs/1908.00310v1
• [cs.SI]Measuring the Clustering Strength of a Network via the Normalized Clustering Coefficient
Ting Li, Xianshi Yu, Bing-Yi Jing
http://arxiv.org/abs/1908.00523v1
• [cs.SI]Sampling on networks: estimating eigenvector centrality on incomplete graphs
Nicolò Ruggeri, Caterina De Bacco
http://arxiv.org/abs/1908.00388v1
• [cs.SI]Supervised Learning of the Global Risk Network Activation from Media Event Reports
Xiang Niu, Gyorgy Korniss, Boleslaw K. Szymanski
http://arxiv.org/abs/1908.00164v1
• [eess.IV]GANs ‘N Lungs: improving pneumonia prediction
Tatiana Malygina, Elena Ericheva, Ivan Drokin
http://arxiv.org/abs/1908.00433v1
• [eess.IV]InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka
http://arxiv.org/abs/1908.00407v1
• [eess.IV]Multiparametric Deep Learning Tissue Signatures for Muscular Dystrophy: Preliminary Results
Alex E. Bocchieri, Vishwa S. Parekh, Kathryn R. Wagner. Shivani Ahlawat, Vladimir Braverman, Doris G. Leung, Michael A. Jacobs
http://arxiv.org/abs/1908.00175v1
• [eess.IV]Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion
Chihiro Go, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya
http://arxiv.org/abs/1908.00186v1
• [eess.SP]Achievable Degrees of Freedom for Closed-form Solution to Interference Alignment and Cancellation in Gaussian Interference Multiple Access Channel
Qu Xin, Chung G. Kang
http://arxiv.org/abs/1908.00248v1
• [eess.SP]Directional Measurements in Urban Street Canyons from Macro Rooftop Sites at 28 GHz for 90% Outdoor Coverage
Jinfeng Du, Dmitry Chizhik, Reinaldo A. Valenzuela, Rodolfo Feick, Guillermo Castro, Mauricio Rodriguez, Tingjun Chen, Manav Kohli, Gil Zussman
http://arxiv.org/abs/1908.00512v1
• [eess.SP]FCFGS-CV-Based Channel Estimation for Wideband MmWave Massive MIMO Systems with Low-Resolution ADCs
In-soo Kim, Junil Choi
http://arxiv.org/abs/1908.00532v1
• [eess.SP]First Experimental Demonstration of Probabilistic Enumerative Sphere Shaping in Optical Fiber Communications
Sebastiaan Goossens, Sjoerd van der Heide, Menno van den Hout, Abdelkerim Amari, Yunus Can Gültekin, Olga Vassilieva, Inwoong Kim, Tadashi Ikeuchi, Frans M. J. Willems, Alex Alvarado, Chigo Okonkwo
http://arxiv.org/abs/1908.00453v1
• [eess.SP]Gradient Pursuit-Based Channel Estimation for MmWave Massive MIMO Systems with One-Bit ADCs
In-soo Kim, Junil Choi
http://arxiv.org/abs/1908.00508v1
• [eess.SP]Learning to Denoise and Decode: A Novel Residual Neural Network Decoder for Polar Codes
Zhiwei Cao, Hongfei Zhu, Yuping Zhao, Dou Li
http://arxiv.org/abs/1908.00460v1
• [eess.SP]LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
Yunyou Huang, Nana Wang, Tianshu Hao, Wanling Gao, Cheng Huang, Jianqing Li, Jianfeng Zhan
http://arxiv.org/abs/1908.00298v1
• [eess.SP]Max-Min Fairness Design for MIMO Interference Channels: a Minorization-Maximization Approach
Mohammad Mahdi Naghsh, Maryam Masjedi, Arman Adibi, Petre Stoica
http://arxiv.org/abs/1908.00160v1
• [math.CO]Existence of some optimal maximal entanglement entanglement-assisted quantum codes
Masaaki Harada
http://arxiv.org/abs/1908.00244v1
• [math.CO]On the existence of paradoxical motions of generically rigid graphs on the sphere
Matteo Gallet, Georg Grasegger, Jan Legerský, Josef Schicho
http://arxiv.org/abs/1908.00467v1
• [math.NA]On the stable sampling rate for binary measurements and wavelet reconstruction
Anders Christian Hansen, Laura Thesing
http://arxiv.org/abs/1908.00185v1
• [math.OC]Adaptive Kernel Learning in Heterogeneous Networks
Hrusikesha Pradhan, Amrit Singh Bedi, Alec Koppel, Ketan Rajawat
http://arxiv.org/abs/1908.00510v1
• [math.OC]Gradient Flow Algorithms for Density Propagation in Stochastic Systems
Kenneth F. Caluya, Abhishek Halder
http://arxiv.org/abs/1908.00533v1
• [math.OC]Neural networks-based backward scheme for fully nonlinear PDEs
Huyen Pham, Huyên Pham, Xavier Warin
http://arxiv.org/abs/1908.00412v1
• [math.OC]pySOT and POAP: An event-driven asynchronous framework for surrogate optimization
David Eriksson, David Bindel, Christine A. Shoemaker
http://arxiv.org/abs/1908.00420v1
• [math.ST]Bias Correction and Robust Inference in Semiparametric Models
Jungjun Choi, Xiye Yang
http://arxiv.org/abs/1908.00414v1
• [math.ST]General proof of a limit related to AR(k) model of Statistics
Jan Vrbik
http://arxiv.org/abs/1908.00428v1
• [physics.med-ph]Meta-QSM: An Image-Resolution-Arbitrary Network for QSM Reconstruction
Juan Liu, Kevin M. Koch
http://arxiv.org/abs/1908.00206v1
• [physics.soc-ph]Influencer identification in dynamical complex systems
Sen Pei, Jiannan Wang, Flaviano Morone, Hernán A Makse
http://arxiv.org/abs/1907.13017v2
• [stat.AP]Bivariate temporal orders for causal inference
Marcel Młyńczak
http://arxiv.org/abs/1908.00123v1
• [stat.AP]Groundwater pumping to increase food production causes persistent groundwater drought in India
Akarsh Asoka, Vimal Mishra
http://arxiv.org/abs/1908.00255v1
• [stat.AP]Mapping the uncertainty of 19th century West African slave origins using a Markov decision process model
Zachary Mullen, Ashton Wiens, Eric Vance, Henry Lovejoy
http://arxiv.org/abs/1908.00431v1
• [stat.AP]Network Dependence and Confounding by Network Structure Lead to Invalid Inference
Youjin Lee, Elizabeth L. Ogburn
http://arxiv.org/abs/1908.00520v1
• [stat.AP]Projection pursuit based generalized betas accounting for higher order co-moment effects in financial market analysis
Sven Serneels
http://arxiv.org/abs/1908.00141v1
• [stat.CO]Updating Variational Bayes: Fast sequential posterior inference
Nathaniel Tomasetti, Catherine S. Forbes, Anastasios Panagiotelis
http://arxiv.org/abs/1908.00225v1
• [stat.ME]Finite-sample properties of robust location and scale estimators
Chanseok Park, Haewon Kim, Min Wang
http://arxiv.org/abs/1908.00462v1
• [stat.ME]Forecasting functional time series using weighted likelihood methodology
Ufuk Beyaztas, Han Lin Shang
http://arxiv.org/abs/1908.00336v1
• [stat.ME]Jackknife Empirical Likelihood Approach for K-sample Tests
Yongli Sang, Xin Dang, Yichuan Zhao
http://arxiv.org/abs/1908.00477v1
• [stat.ME]Optimum Testing Time of Software using Size-Biased Concepts
Ashis Kumar Chakraborty, Parna Chatterjee, Poulami Chakraborty, Aleena Chanda
http://arxiv.org/abs/1908.00307v1
• [stat.ME]Testing for Externalities in Network Formation Using Simulation
Bryan S. Graham, Andrin Pelican
http://arxiv.org/abs/1908.00099v1
• [stat.ML]Conditional independence testing: a predictive perspective
Marco Henrique de Almeida Inácio, Rafael Izbicki, Rafael Bassi Stern
http://arxiv.org/abs/1908.00105v1
• [stat.ML]Estimating the Standard Error of Cross-Validation-Based Estimators of Classification Rules Performance
Waleed A. Yousef
http://arxiv.org/abs/1908.00325v1
• [stat.ML]No-PASt-BO: Normalized Portfolio Allocation Strategy for Bayesian Optimization
Thiago de P. Vasconcelos, Daniel A. R. M. A. de Souza, César L. C. Mattos, João P. P. Gomes
http://arxiv.org/abs/1908.00361v1