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.DB - 数据库 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.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MM - 多媒体 cs.RO - 机器人学 cs.SD - 声音处理 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.HO - 历史与概述 math.PR - 概率 math.ST - 统计理论 physics.med-ph - 医学物理学 physics.soc-ph - 物理学与社会 q-bio.GN - 基因组学 q-bio.PE - 人口与发展 quant-ph - 量子物理 stat.AP - 应用统计 stat.ME - 统计方法论 stat.ML - (统计)机器学习 stat.OT - 其他统计学

    • [cs.AI]Artificial Intelligence Approaches
    • [cs.AI]Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers
    • [cs.AI]Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
    • [cs.AI]Enabling Semantic Data Access for Toxicological Risk Assessment
    • [cs.AI]Explainable AI: A Neurally-Inspired Decision Stack Framework
    • [cs.AI]Heuristic design of fuzzy inference systems: A review of three decades of research
    • [cs.AI]Infochain: A Decentralized System for Truthful Information Elicitation
    • [cs.AI]Learning-Based Video Game Development in MLP@UoM: An Overview
    • [cs.CL]A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition
    • [cs.CL]An Emotional Analysis of False Information in Social Media and News Articles
    • [cs.CL]BERT for Coreference Resolution: Baselines and Analysis
    • [cs.CL]Bridging the Gap for Tokenizer-Free Language Models
    • [cs.CL]Does BERT agree? Evaluating knowledge of structure dependence through agreement relations
    • [cs.CL]Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
    • [cs.CL]Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
    • [cs.CL]FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
    • [cs.CL]Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts
    • [cs.CL]MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations
    • [cs.CL]Movie Plot Analysis via Turning Point Identification
    • [cs.CL]Multi-Channel Graph Neural Network for Entity Alignment
    • [cs.CL]Multi-Granularity Representations of Dialog
    • [cs.CL]Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers
    • [cs.CL]On NMT Search Errors and Model Errors: Cat Got Your Tongue?
    • [cs.CL]On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
    • [cs.CL]Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
    • [cs.CL]Text Modeling with Syntax-Aware Variational Autoencoders
    • [cs.CL]The Wiki Music dataset: A tool for computational analysis of popular music
    • [cs.CL]Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers
    • [cs.CL]Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI’s gpt2 Transformer Model
    • [cs.CR]A Security-Aware Access Model for Data-Driven EHR System
    • [cs.CR]Airport Cyber Security and Cyber Resilience Controls
    • [cs.CR]IoT Notary: Sensor Data Attestation in Smart Environment
    • [cs.CR]No Peeking through My Windows: Conserving Privacy in Personal Drones
    • [cs.CR]That’s Not Me! Designing Fictitious Profiles to Answer Security Questions
    • [cs.CV]A Weakly Supervised Method for Instance Segmentation of Biological Cells
    • [cs.CV]A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
    • [cs.CV]Attention-based Dropout Layer for Weakly Supervised Object Localization
    • [cs.CV]Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation
    • [cs.CV]Confidence Regularized Self-Training
    • [cs.CV]Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network
    • [cs.CV]Cooperative Cross-Stream Network for Discriminative Action Representation
    • [cs.CV]Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning
    • [cs.CV]Distorted Representation Space Characterization Through Backpropagated Gradients
    • [cs.CV]Dual Directed Capsule Network for Very Low Resolution Image Recognition
    • [cs.CV]Fashion Image Retrieval with Capsule Networks
    • [cs.CV]Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition
    • [cs.CV]Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
    • [cs.CV]Global-Local Temporal Representations For Video Person Re-Identification
    • [cs.CV]HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition
    • [cs.CV]Intra-Camera Supervised Person Re-Identification: A New Benchmark
    • [cs.CV]Large Scale Landmark Recognition via Deep Metric Learning
    • [cs.CV]Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
    • [cs.CV]Learning Reinforced Attentional Representation for End-to-End Visual Tracking
    • [cs.CV]Learning to Discover Novel Visual Categories via Deep Transfer Clustering
    • [cs.CV]MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
    • [cs.CV]Mobile Video Action Recognition
    • [cs.CV]Physics-Based Rendering for Improving Robustness to Rain
    • [cs.CV]PixelVAE++: Improved PixelVAE with Discrete Prior
    • [cs.CV]Segmentation Mask Guided End-to-End Person Search
    • [cs.CV]Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells
    • [cs.CV]Temporal Reasoning Graph for Activity Recognition
    • [cs.CV]Unsupervised Deep Feature Transfer for Low Resolution Image Classification
    • [cs.CV]Unsupervised Domain-Adaptive Person Re-identification Based on Attributes
    • [cs.DB]Datalog Reasoning over Compressed RDF Knowledge Bases
    • [cs.DC]A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
    • [cs.DC]A Framework for Model Search Across Multiple Machine Learning Implementations
    • [cs.DC]Analysis of SLA Compliance in the Cloud — An Automated, Model-based Approach
    • [cs.DC]Distributed Consistent Network Updates in SDNs: Local Verification for Global Guarantees
    • [cs.DC]Performance modeling of a distributed file-system
    • [cs.DS]A parallel priority queue with fast updates for GPU architectures
    • [cs.GR]Subdivision of point-normal with application to smoothing feasible robot path
    • [cs.GT]Coarse Correlation in Extensive-Form Games
    • [cs.HC]A Comparative Study of Younger and Older Adults’ Interaction with a Crowdsourcing Android TV App for Detecting Errors in TEDx Video Subtitles
    • [cs.HC]Multiple Purposes, Multiple Problems: A User Study of Consent Dialogs after GDPR
    • [cs.HC]Physiological and Affective Computing through Thermal Imaging: A Survey
    • [cs.HC]Smart Street Lights and Mobile Citizen Apps for Resilient Communication in a Digital City
    • [cs.IR]A novel model for query expansion using pseudo-relevant web knowledge
    • [cs.IR]CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
    • [cs.IR]Enabling Hyper-Personalisation: Automated Ad Creative Generation and Ranking for Fashion e-Commerce
    • [cs.IR]Improving End-to-End Sequential Recommendations with Intent-aware Diversification
    • [cs.IT]A Short Course on Error-Correcting Codes
    • [cs.IT]Asymptotically Optimal One- and Two-Sample Testing with Kernels
    • [cs.IT]Capacity of dynamical storage systems
    • [cs.IT]Evolutionary Game for Hybrid Uplink NOMA with Truncated Channel Inversion Power Control
    • [cs.IT]Online Energy Harvesting Problem Over An Arbitrary Directed Acyclic Graph Network
    • [cs.IT]Simultaneous Wireless Information and Power Transfer for Decode-and-Forward Multi-Hop Relay Systems in Energy-Constrained IoT Networks
    • [cs.IT]Unequally Sub-connected Architecture for Hybrid Beamforming in Massive MIMO Systems
    • [cs.LG]Adversarial Edit Attacks for Tree Data
    • [cs.LG]An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations
    • [cs.LG]Automated Fashion Size Normalization
    • [cs.LG]Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention
    • [cs.LG]Causally interpretable multi-step time series forecasting: A new machine learning approach using simulated differential equations
    • [cs.LG]Complementary-Similarity Learning using Quadruplet Network
    • [cs.LG]DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
    • [cs.LG]Dimension independent bounds for general shallow networks
    • [cs.LG]Early Classification for Agricultural Monitoring from Satellite Time Series
    • [cs.LG]Finite size corrections for neural network Gaussian processes
    • [cs.LG]Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning
    • [cs.LG]Key Protected Classification for Collaborative Learning
    • [cs.LG]Learning Algebraic Models of Quantum Entanglement
    • [cs.LG]Learning Continually from Low-shot Data Stream
    • [cs.LG]Leveraging External Knowledge for Out-Of-Vocabulary Entity Labeling
    • [cs.LG]Matrix embedding method in match for session-based recommendation
    • [cs.LG]Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics
    • [cs.LG]Multi-stage Deep Classifier Cascades for Open World Recognition
    • [cs.LG]On the Bounds of Function Approximations
    • [cs.LG]Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
    • [cs.LG]Private Stochastic Convex Optimization with Optimal Rates
    • [cs.LG]Real-world Conversational AI for Hotel Bookings
    • [cs.LG]Stochastic Optimization for Non-convex Inf-Projection Problems
    • [cs.LG]SynGAN: Towards Generating Synthetic Network Attacks using GANs
    • [cs.LG]The many faces of deep learning
    • [cs.LG]Theory and Evaluation Metrics for Learning Disentangled Representations
    • [cs.LG]Urban flows prediction from spatial-temporal data using machine learning: A survey
    • [cs.MM]Personalized Hashtag Recommendation for Micro-videos
    • [cs.RO]Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
    • [cs.RO]Fast Simulation of Crowd Collision Avoidance
    • [cs.RO]LiDARTag: A Real-Time Fiducial Tag using Point Clouds
    • [cs.RO]Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments
    • [cs.RO]Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming
    • [cs.RO]Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles
    • [cs.RO]Task-assisted Motion Planning in Partially Observable Domains
    • [cs.SD]A hybrid parametric-deep learning approach for sound event localization and detection
    • [cs.SE]BULNER: BUg Localization with word embeddings and NEtwork Regularization
    • [cs.SE]Who is to Blame? Runtime Verification of Distributed Objects with Active Monitors
    • [cs.SI]Consistency of community structure in complex networks
    • [cs.SI]Intellectual and social similarity among scholarly journals: an exploratory comparison of the networks of editors, authors and co-citations
    • [cs.SI]Network Communities of Dynamical Influence
    • [eess.AS]VAE-based Domain Adaptation for Speaker Verification
    • [eess.IV]3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations
    • [eess.IV]A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes
    • [eess.IV]Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans
    • [eess.IV]DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks
    • [eess.IV]Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
    • [eess.IV]End-to-End Conditional GAN-based Architectures for Image Colourisation
    • [eess.IV]Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation
    • [eess.IV]Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework
    • [eess.IV]Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
    • [eess.SP]Robust Tensor Recovery with Fiber Outliers for Traffic Events
    • [eess.SP]Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
    • [math.CO]Corona product of signed graphs and its application to signed network modelling
    • [math.HO]Analysis on MathSciNet database: some preliminary results
    • [math.PR]The Overlap Gap Property in Principal Submatrix Recovery
    • [math.ST]Copulas and Preserver Problems
    • [math.ST]Fourier-type monitoring procedures for strict stationarity
    • [math.ST]On the Minimax Optimality of Estimating the Wasserstein Metric
    • [math.ST]On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels
    • [physics.med-ph]CNN-Based PET Sinogram Repair to Mitigate Defective Block Detectors
    • [physics.soc-ph]Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model
    • [physics.soc-ph]SimBins — An Information-Theoretic Approach to Link Prediction in Real Multiplex Networks
    • [q-bio.GN]SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity
    • [q-bio.PE]Machine learning algorithms to infer trait matching and predict species interactions in ecological networks
    • [quant-ph]Holographic Code Rate
    • [stat.AP]Contextual Stress and Maternal Sensitivity: A Meta-Analytic Review of Stress Associations with the Maternal Behavior Q-Sort in Observational Studies
    • [stat.AP]Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
    • [stat.AP]Model ensembles of artificial neural networks and support vector regression for improved accuracy in the prediction of vegetation conditions
    • [stat.ME]Bayesian decision-making with multiple correlated binary outcomes in clinical trials
    • [stat.ME]Consistently estimating graph statistics using Aggregated Relational Data
    • [stat.ME]Optimizing Graphical Procedures for Multiplicity Control in a Confirmatory Clinical Trial via Deep Learning
    • [stat.ML]A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis
    • [stat.ML]Convex Programming for Estimation in Nonlinear Recurrent Models
    • [stat.ML]Locally Optimized Random Forests
    • [stat.ML]Model Selection With Graphical Neighbour Information
    • [stat.ML]Statistical and Computational Trade-Offs in Kernel K-Means
    • [stat.ML]Sufficient Representations for Categorical Variables
    • [stat.OT]A statistical framework for measuring the temporal stability of human mobility patterns

    ·····································

    • [cs.AI]Artificial Intelligence Approaches
    Yingjie Hu, Wenwen Li, Dawn Wright, Orhun Aydin, Daniel Wilson, Omar Maher, Mansour Raad
    http://arxiv.org/abs/1908.10345v1

    • [cs.AI]Continuous Value Iteration (CVI) Reinforcement Learning and Imaginary Experience Replay (IER) for learning multi-goal, continuous action and state space controllers
    Andreas Gerken, Michael Spranger
    http://arxiv.org/abs/1908.10255v1

    • [cs.AI]Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards
    Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim
    http://arxiv.org/abs/1908.10331v1

    • [cs.AI]Enabling Semantic Data Access for Toxicological Risk Assessment
    Erik Bryhn Myklebust, Ernesto Jimenez-Ruiz, Jiaoyan Chen, Raoul Wolf, Knut Erik Tollefsen
    http://arxiv.org/abs/1908.10128v1

    • [cs.AI]Explainable AI: A Neurally-Inspired Decision Stack Framework
    J. L. Olds, M. S. Khan, M. Nayebpour, N. Koizumi
    http://arxiv.org/abs/1908.10300v1

    • [cs.AI]Heuristic design of fuzzy inference systems: A review of three decades of research
    Varun Ojha, Ajith Abraham, Vaclav Snasel
    http://arxiv.org/abs/1908.10122v1

    • [cs.AI]Infochain: A Decentralized System for Truthful Information Elicitation
    Cyril van Schreven, Naman Goel, Boi Faltings
    http://arxiv.org/abs/1908.10258v1

    • [cs.AI]Learning-Based Video Game Development in MLP@UoM: An Overview
    Ke Chen
    http://arxiv.org/abs/1908.10127v1

    • [cs.CL]A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition
    Lilia Simeonova, Kiril Simov, Petya Osenova, Preslav Nakov
    http://arxiv.org/abs/1908.10261v1

    • [cs.CL]An Emotional Analysis of False Information in Social Media and News Articles
    Bilal Ghanem, Paolo Rosso, Francisco Rangel
    http://arxiv.org/abs/1908.09951v1

    • [cs.CL]BERT for Coreference Resolution: Baselines and Analysis
    Mandar Joshi, Omer Levy, Daniel S. Weld, Luke Zettlemoyer
    http://arxiv.org/abs/1908.09091v2

    • [cs.CL]Bridging the Gap for Tokenizer-Free Language Models
    Dokook Choe, Rami Al-Rfou, Mandy Guo, Heeyoung Lee, Noah Constant
    http://arxiv.org/abs/1908.10322v1

    • [cs.CL]Does BERT agree? Evaluating knowledge of structure dependence through agreement relations
    Geoff Bacon, Terry Regier
    http://arxiv.org/abs/1908.09892v1

    • [cs.CL]Don’t Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja
    Kang Min Yoo, Taeuk Kim, Sang-goo Lee
    http://arxiv.org/abs/1908.09282v2

    • [cs.CL]Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing
    Jonathan Herzig, Jonathan Berant
    http://arxiv.org/abs/1908.09940v1

    • [cs.CL]FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
    Dogu Araci
    http://arxiv.org/abs/1908.10063v1

    • [cs.CL]Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts
    Sandro Pezzelle, Raquel Fernández
    http://arxiv.org/abs/1908.10285v1

    • [cs.CL]MIDAS: A Dialog Act Annotation Scheme for Open Domain Human Machine Spoken Conversations
    Dian Yu, Zhou Yu
    http://arxiv.org/abs/1908.10023v1

    • [cs.CL]Movie Plot Analysis via Turning Point Identification
    Pinelopi Papalampidi, Frank Keller, Mirella Lapata
    http://arxiv.org/abs/1908.10328v1

    • [cs.CL]Multi-Channel Graph Neural Network for Entity Alignment
    Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua
    http://arxiv.org/abs/1908.09898v1

    • [cs.CL]Multi-Granularity Representations of Dialog
    Shikib Mehri, Maxine Eskenazi
    http://arxiv.org/abs/1908.09890v1

    • [cs.CL]Multi-Layer Softmaxing during Training Neural Machine Translation for Flexible Decoding with Fewer Layers
    Raj Dabre, Atsushi Fujita
    http://arxiv.org/abs/1908.10118v1

    • [cs.CL]On NMT Search Errors and Model Errors: Cat Got Your Tongue?
    Felix Stahlberg, Bill Byrne
    http://arxiv.org/abs/1908.10090v1

    • [cs.CL]On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression
    Genta Indra Winata, Andrea Madotto, Jamin Shin, Elham J. Barezi, Pascale Fung
    http://arxiv.org/abs/1908.09982v1

    • [cs.CL]Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
    Nils Reimers, Iryna Gurevych
    http://arxiv.org/abs/1908.10084v1

    • [cs.CL]Text Modeling with Syntax-Aware Variational Autoencoders
    Yijun Xiao, William Yang Wang
    http://arxiv.org/abs/1908.09964v1

    • [cs.CL]The Wiki Music dataset: A tool for computational analysis of popular music
    Fabio Celli
    http://arxiv.org/abs/1908.10275v1

    • [cs.CL]Toward Dialogue Modeling: A Semantic Annotation Scheme for Questions and Answers
    Maria-Andrea Cruz-Blandón, Gosse Minnema, Aria Nourbakhsh, Maria Boritchev, Maxime Amblard
    http://arxiv.org/abs/1908.09921v1

    • [cs.CL]Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI’s gpt2 Transformer Model
    Matthias von Davier
    http://arxiv.org/abs/1908.08594v2

    • [cs.CR]A Security-Aware Access Model for Data-Driven EHR System
    Ngoc Hong Tran, Thien-An Nguyen-Ngoc, Nhien-An Le-Khac, M-Tahar Kechadi
    http://arxiv.org/abs/1908.10229v1

    • [cs.CR]Airport Cyber Security and Cyber Resilience Controls
    Alex R Mathew
    http://arxiv.org/abs/1908.09894v1

    • [cs.CR]IoT Notary: Sensor Data Attestation in Smart Environment
    Nisha Panwar, Shantanu Sharma, Guoxi Wang, Sharad Mehrotra, Nalini Venkatasubramanian, Mamadou H. Diallo, Ardalan Amiri Sani
    http://arxiv.org/abs/1908.10033v1

    • [cs.CR]No Peeking through My Windows: Conserving Privacy in Personal Drones
    Alem Fitwi, Yu Chen, Sencun Zhu
    http://arxiv.org/abs/1908.09935v1

    • [cs.CR]That’s Not Me! Designing Fictitious Profiles to Answer Security Questions
    Nicholas Micallef, Nalin Asanka Gamagedara Arachchilage
    http://arxiv.org/abs/1908.09210v1

    • [cs.CV]A Weakly Supervised Method for Instance Segmentation of Biological Cells
    Fidel A. Guerrero-Peña, Pedro D. Marrero Fernandez, Tsang Ing Ren, Alexandre Cunha
    http://arxiv.org/abs/1908.09891v1

    • [cs.CV]A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image
    Fu Xiong, Boshen Zhang, Yang Xiao, Zhiguo Cao, Taidong Yu, Joey Tianyi Zhou, Junsong Yuan
    http://arxiv.org/abs/1908.09999v1

    • [cs.CV]Attention-based Dropout Layer for Weakly Supervised Object Localization
    Junsuk Choe, Hyunjung Shim
    http://arxiv.org/abs/1908.10028v1

    • [cs.CV]Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation
    Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang
    http://arxiv.org/abs/1908.10357v1

    • [cs.CV]Confidence Regularized Self-Training
    Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang
    http://arxiv.org/abs/1908.09822v2

    • [cs.CV]Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network
    Bairui Wang, Lin Ma, Wei Zhang, Wenhao Jiang, Jingwen Wang, Wei Liu
    http://arxiv.org/abs/1908.10072v1

    • [cs.CV]Cooperative Cross-Stream Network for Discriminative Action Representation
    Jingran Zhang, Fumin Shen, Xing Xu, Heng Tao Shen
    http://arxiv.org/abs/1908.10136v1

    • [cs.CV]Curved Text Detection in Natural Scene Images with Semi- and Weakly-Supervised Learning
    Xugong Qin, Yu Zhou, Dongbao Yang, Weiping Wang
    http://arxiv.org/abs/1908.09990v1

    • [cs.CV]Distorted Representation Space Characterization Through Backpropagated Gradients
    Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib
    http://arxiv.org/abs/1908.09998v1

    • [cs.CV]Dual Directed Capsule Network for Very Low Resolution Image Recognition
    Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa
    http://arxiv.org/abs/1908.10027v1

    • [cs.CV]Fashion Image Retrieval with Capsule Networks
    Furkan Kınlı, Barış Özcan, Furkan Kıraç
    http://arxiv.org/abs/1908.09943v1

    • [cs.CV]Few-shot Learning with Deep Triplet Networks for Brain Imaging Modality Recognition
    Santi Puch, Irina Sánchez, Matt Rowe
    http://arxiv.org/abs/1908.10266v1

    • [cs.CV]Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
    Lázaro J. González-Soler, Marta Gomez-Barrero, Leonardo Chang, Airel Pérez-Suárez, Christoph Busch
    http://arxiv.org/abs/1908.10163v1

    • [cs.CV]Global-Local Temporal Representations For Video Person Re-Identification
    Jianing Li, Jingdong Wang, Qi Tian, Wen Gao, Shiliang Zhang
    http://arxiv.org/abs/1908.10049v1

    • [cs.CV]HRGE-Net: Hierarchical Relational Graph Embedding Network for Multi-view 3D Shape Recognition
    Xin Wei, Ruixuan Yu, Jian Sun
    http://arxiv.org/abs/1908.10098v1

    • [cs.CV]Intra-Camera Supervised Person Re-Identification: A New Benchmark
    Xiangping Zhu, Xiatian Zhu, Minxian Li, Vittorio Murino, Shaogang Gong
    http://arxiv.org/abs/1908.10344v1

    • [cs.CV]Large Scale Landmark Recognition via Deep Metric Learning
    Andrei Boiarov, Eduard Tyantov
    http://arxiv.org/abs/1908.10192v1

    • [cs.CV]Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
    Xi Shen, Ilaria Pastrolin, Oumayma Bounou, Spyros Gidaris, Marc Smith, Olivier Poncet, Mathieu Aubry
    http://arxiv.org/abs/1908.10254v1

    • [cs.CV]Learning Reinforced Attentional Representation for End-to-End Visual Tracking
    Peng Gao, Qiquan Zhang, Liyi Xiao, Yan Zhang, Fei Wang
    http://arxiv.org/abs/1908.10009v1

    • [cs.CV]Learning to Discover Novel Visual Categories via Deep Transfer Clustering
    Kai Han, Andrea Vedaldi, Andrew Zisserman
    http://arxiv.org/abs/1908.09884v1

    • [cs.CV]MetaMixUp: Learning Adaptive Interpolation Policy of MixUp with Meta-Learning
    Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen
    http://arxiv.org/abs/1908.10059v1

    • [cs.CV]Mobile Video Action Recognition
    Yuqi Huo, Xiaoli Xu, Yao Lu, Yulei Niu, Zhiwu Lu, Ji-Rong Wen
    http://arxiv.org/abs/1908.10155v1

    • [cs.CV]Physics-Based Rendering for Improving Robustness to Rain
    Shirsendu Sukanta Halder, Jean-François Lalonde, Raoul de Charette
    http://arxiv.org/abs/1908.10335v1

    • [cs.CV]PixelVAE++: Improved PixelVAE with Discrete Prior
    Hossein Sadeghi, Evgeny Andriyash, Walter Vinci, Lorenzo Buffoni, Mohammad H. Amin
    http://arxiv.org/abs/1908.09948v1

    • [cs.CV]Segmentation Mask Guided End-to-End Person Search
    Dingyuan Zheng, Jimin Xiao, Kaizhu Huang, Yao Zhao
    http://arxiv.org/abs/1908.10179v1

    • [cs.CV]Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells
    Artem Lukoyanov, Isabella Haberbosch, Constantin Pape, Alwin Kraemer, Yannick Schwab, Anna Kreshuk
    http://arxiv.org/abs/1908.10109v1

    • [cs.CV]Temporal Reasoning Graph for Activity Recognition
    Jingran Zhang, Fumin Shen, Xing Xu, Heng Tao Shen
    http://arxiv.org/abs/1908.09995v1

    • [cs.CV]Unsupervised Deep Feature Transfer for Low Resolution Image Classification
    Yuanwei Wu, Ziming Zhang, Guanghui Wang
    http://arxiv.org/abs/1908.10012v1

    • [cs.CV]Unsupervised Domain-Adaptive Person Re-identification Based on Attributes
    Xiangping Zhu, Pietro Morerio, Vittorio Murino
    http://arxiv.org/abs/1908.10359v1

    • [cs.DB]Datalog Reasoning over Compressed RDF Knowledge Bases
    Pan Hu, Jacopo Urbani, Boris Motik, Ian Horrocks
    http://arxiv.org/abs/1908.10177v1

    • [cs.DC]A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge Computing
    Zhi Cao, Honggang Zhang, Benyuan Liu
    http://arxiv.org/abs/1908.10290v1

    • [cs.DC]A Framework for Model Search Across Multiple Machine Learning Implementations
    Yoshiki Takahashi, Masato Asahara, Kazuyuki Shudo
    http://arxiv.org/abs/1908.10310v1

    • [cs.DC]Analysis of SLA Compliance in the Cloud — An Automated, Model-based Approach
    Frank S. de Boer, Elena Giachino, Stijn de Gouw, Reiner Hähnle, Einar Broch Johnsen, Cosimo Laneve, Ka I Pun, Gianluigi Zavattaro
    http://arxiv.org/abs/1908.10040v1

    • [cs.DC]Distributed Consistent Network Updates in SDNs: Local Verification for Global Guarantees
    Klaus-Tycho Foerster, Stefan Schmid
    http://arxiv.org/abs/1908.10086v1

    • [cs.DC]Performance modeling of a distributed file-system
    Sandeep Kumar
    http://arxiv.org/abs/1908.10036v1

    • [cs.DS]A parallel priority queue with fast updates for GPU architectures
    John Iacono, Ben Karsin, Nodari Sitchinava
    http://arxiv.org/abs/1908.09378v1

    • [cs.GR]Subdivision of point-normal with application to smoothing feasible robot path
    Evgeny Lipovetsky
    http://arxiv.org/abs/1908.09913v1

    • [cs.GT]Coarse Correlation in Extensive-Form Games
    Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm
    http://arxiv.org/abs/1908.09893v1

    • [cs.HC]A Comparative Study of Younger and Older Adults’ Interaction with a Crowdsourcing Android TV App for Detecting Errors in TEDx Video Subtitles
    Kinga Skorupska, Manuel Núñez, Wiesław Kopeć, Radosław Nielek
    http://arxiv.org/abs/1908.10078v1

    • [cs.HC]Multiple Purposes, Multiple Problems: A User Study of Consent Dialogs after GDPR
    Dominique Machuletz, Rainer Böhme
    http://arxiv.org/abs/1908.10048v1

    • [cs.HC]Physiological and Affective Computing through Thermal Imaging: A Survey
    Youngjun Cho, Nadia Bianchi-Berthouze
    http://arxiv.org/abs/1908.10307v1

    • [cs.HC]Smart Street Lights and Mobile Citizen Apps for Resilient Communication in a Digital City
    Lars Baumgärtner, Jonas Höchst, Patrick Lampe, Ragnar Mogk, Artur Sterz, Pascal Weisenburger, Mira Mezini, Bernd Freisleben
    http://arxiv.org/abs/1908.10233v1

    • [cs.IR]A novel model for query expansion using pseudo-relevant web knowledge
    Hiteshwar Kumar Azad, Akshay Deepak
    http://arxiv.org/abs/1908.10193v1

    • [cs.IR]CosRec: 2D Convolutional Neural Networks for Sequential Recommendation
    An Yan, Shuo Cheng, Wang-Cheng Kang, Mengting Wan, Julian McAuley
    http://arxiv.org/abs/1908.09972v1

    • [cs.IR]Enabling Hyper-Personalisation: Automated Ad Creative Generation and Ranking for Fashion e-Commerce
    Sreekanth Vempati, Korah T Malayil, Sruthi V, Sandeep R
    http://arxiv.org/abs/1908.10139v1

    • [cs.IR]Improving End-to-End Sequential Recommendations with Intent-aware Diversification
    Wanyu Chen, Pengjie Ren, Fei Cai, Maarten de Rijke
    http://arxiv.org/abs/1908.10171v1

    • [cs.IT]A Short Course on Error-Correcting Codes
    Mario Blaum
    http://arxiv.org/abs/1908.09903v1

    • [cs.IT]Asymptotically Optimal One- and Two-Sample Testing with Kernels
    Shengyu Zhu, Biao Chen, Zhitang Chen, Pengfei Yang
    http://arxiv.org/abs/1908.10037v1

    • [cs.IT]Capacity of dynamical storage systems
    Ohad Elishco, Alexander Barg
    http://arxiv.org/abs/1908.09900v1

    • [cs.IT]Evolutionary Game for Hybrid Uplink NOMA with Truncated Channel Inversion Power Control
    Jinho Choi, Jun-Bae Seo
    http://arxiv.org/abs/1908.10005v1

    • [cs.IT]Online Energy Harvesting Problem Over An Arbitrary Directed Acyclic Graph Network
    Rahul Vaze, Sibi Raj B Pillai
    http://arxiv.org/abs/1908.10003v1

    • [cs.IT]Simultaneous Wireless Information and Power Transfer for Decode-and-Forward Multi-Hop Relay Systems in Energy-Constrained IoT Networks
    Derek Kwaku Pobi Asiedu, Hoon Lee, Kyoung-Jae Lee
    http://arxiv.org/abs/1908.09270v2

    • [cs.IT]Unequally Sub-connected Architecture for Hybrid Beamforming in Massive MIMO Systems
    Nhan Thanh Nguyen, Kyungchun Lee
    http://arxiv.org/abs/1908.10056v1

    • [cs.LG]Adversarial Edit Attacks for Tree Data
    Benjamin Paaßen
    http://arxiv.org/abs/1908.09364v2

    • [cs.LG]An empirical comparison between stochastic and deterministic centroid initialisation for K-Means variations
    Avgoustinos Vouros, Stephen Langdell, Mike Croucher, Eleni Vasilaki
    http://arxiv.org/abs/1908.09946v1

    • [cs.LG]Automated Fashion Size Normalization
    Eddie S. J. Du, Chang Liu, David H. Wayne
    http://arxiv.org/abs/1908.09980v1

    • [cs.LG]Automatic Detection of ECG Abnormalities by using an Ensemble of Deep Residual Networks with Attention
    Yang Liu, Runnan He, Kuanquan Wang, Qince Li, Qiang Sun, Na Zhao, Henggui Zhang
    http://arxiv.org/abs/1908.10088v1

    • [cs.LG]Causally interpretable multi-step time series forecasting: A new machine learning approach using simulated differential equations
    William Schoenberg
    http://arxiv.org/abs/1908.10336v1

    • [cs.LG]Complementary-Similarity Learning using Quadruplet Network
    Mansi Ranjit Mane, Stephen Guo, Kannan Achan
    http://arxiv.org/abs/1908.09928v1

    • [cs.LG]DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
    Huanrui Yang, Wei Wen, Hai Li
    http://arxiv.org/abs/1908.09979v1

    • [cs.LG]Dimension independent bounds for general shallow networks
    Hrushikesh N. Mhaskar
    http://arxiv.org/abs/1908.09880v1

    • [cs.LG]Early Classification for Agricultural Monitoring from Satellite Time Series
    Marc Rußwurm, Romain Tavenard, Sébastien Lefèvre, Marco Körner
    http://arxiv.org/abs/1908.10283v1

    • [cs.LG]Finite size corrections for neural network Gaussian processes
    Joseph M. Antognini
    http://arxiv.org/abs/1908.10030v1

    • [cs.LG]Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning
    Michael Barz, Daniel Sonntag
    http://arxiv.org/abs/1908.10149v1

    • [cs.LG]Key Protected Classification for Collaborative Learning
    Mert Bülent Sarıyıldız, Ramazan Gökberk Cinbiş, Erman Ayday
    http://arxiv.org/abs/1908.10172v1

    • [cs.LG]Learning Algebraic Models of Quantum Entanglement
    Hamza Jaffali, Luke Oeding
    http://arxiv.org/abs/1908.10247v1

    • [cs.LG]Learning Continually from Low-shot Data Stream
    Canyu Le, Xihan Wei, Biao Wang, Lei Zhang
    http://arxiv.org/abs/1908.10223v1

    • [cs.LG]Leveraging External Knowledge for Out-Of-Vocabulary Entity Labeling
    Adrian de Wynter, Lambert Mathias
    http://arxiv.org/abs/1908.09936v1

    • [cs.LG]Matrix embedding method in match for session-based recommendation
    Qizhi Zhang, Yi Lin, Kangle Wu, Yongliang Li, Anxiang Zeng
    http://arxiv.org/abs/1908.10180v1

    • [cs.LG]Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics
    Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy, David J. Albers, Noémie Elhadad
    http://arxiv.org/abs/1908.10226v1

    • [cs.LG]Multi-stage Deep Classifier Cascades for Open World Recognition
    Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
    http://arxiv.org/abs/1908.09931v1

    • [cs.LG]On the Bounds of Function Approximations
    Adrian de Wynter
    http://arxiv.org/abs/1908.09942v1

    • [cs.LG]Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis
    Jing Ma, Qiuchen Zhang, Jian Lou, Joyce. C. Ho, Li Xiong, Xiaoqian Jiang
    http://arxiv.org/abs/1908.09888v1

    • [cs.LG]Private Stochastic Convex Optimization with Optimal Rates
    Raef Bassily, Vitaly Feldman, Kunal Talwar, Abhradeep Thakurta
    http://arxiv.org/abs/1908.09970v1

    • [cs.LG]Real-world Conversational AI for Hotel Bookings
    Bai Li, Nanyi Jiang, Joey Sham, Henry Shi, Hussein Fazal
    http://arxiv.org/abs/1908.10001v1

    • [cs.LG]Stochastic Optimization for Non-convex Inf-Projection Problems
    Yan Yan, Yi Xu, Lijun Zhang, Xiaoyu Wang, Tianbao Yang
    http://arxiv.org/abs/1908.09941v1

    • [cs.LG]SynGAN: Towards Generating Synthetic Network Attacks using GANs
    Jeremy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne
    http://arxiv.org/abs/1908.09899v1

    • [cs.LG]The many faces of deep learning
    Raul Vicente
    http://arxiv.org/abs/1908.10206v1

    • [cs.LG]Theory and Evaluation Metrics for Learning Disentangled Representations
    Kien Do, Truyen Tran
    http://arxiv.org/abs/1908.09961v1

    • [cs.LG]Urban flows prediction from spatial-temporal data using machine learning: A survey
    Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang
    http://arxiv.org/abs/1908.10218v1

    • [cs.MM]Personalized Hashtag Recommendation for Micro-videos
    Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie
    http://arxiv.org/abs/1908.09987v1

    • [cs.RO]Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications
    Tim Welschehold, Nichola Abdo, Christian Dornhege, Wolfram Burgard
    http://arxiv.org/abs/1908.10184v1

    • [cs.RO]Fast Simulation of Crowd Collision Avoidance
    John Charlton, Luis Rene Montana Gonzalez, Steve Maddock, Paul Richmond
    http://arxiv.org/abs/1908.10107v1

    • [cs.RO]LiDARTag: A Real-Time Fiducial Tag using Point Clouds
    Jiunn-Kai Huang, Maani Ghaffari, Ross Hartley, Lu Gan, Ryan M. Eustice, Jessy W. Grizzle
    http://arxiv.org/abs/1908.10349v1

    • [cs.RO]Proactive Intention Recognition for Joint Human-Robot Search and Rescue Missions through Monte-Carlo Planning in POMDP Environments
    Dimitri Ognibene, Lorenzo Mirante, Letizia Marchegiani
    http://arxiv.org/abs/1908.10125v1

    • [cs.RO]Research on Autonomous Maneuvering Decision of UCAV based on Approximate Dynamic Programming
    Zhencai Hu, Peng Gao, Fei Wang
    http://arxiv.org/abs/1908.10010v1

    • [cs.RO]Robust Trajectory Tracking Control for Underactuated Autonomous Underwater Vehicles
    Shahab Heshmati-alamdari, Alexandros Nikou, Dimos V. Dimarogonas
    http://arxiv.org/abs/1908.10175v1

    • [cs.RO]Task-assisted Motion Planning in Partially Observable Domains
    Antony Thomas, Sunny Amatya, Fulvio Mastrogiovanni, Marco Baglietto
    http://arxiv.org/abs/1908.10227v1

    • [cs.SD]A hybrid parametric-deep learning approach for sound event localization and detection
    Andres Perez-Lopez, Eduardo Fonseca, Xavier Serra
    http://arxiv.org/abs/1908.10133v1

    • [cs.SE]BULNER: BUg Localization with word embeddings and NEtwork Regularization
    Jacson Rodrigues Barbosa, Ricardo Marcondes Marcacini, Ricardo Britto, Frederico Soares, Solange Rezende, Auri M. R. Vincenzi, Marcio E. Delamaro
    http://arxiv.org/abs/1908.09876v1

    • [cs.SE]Who is to Blame? Runtime Verification of Distributed Objects with Active Monitors
    Wolfgang Ahrendt, Ludovic Henrio, Wytse Oortwijn
    http://arxiv.org/abs/1908.10042v1

    • [cs.SI]Consistency of community structure in complex networks
    Maria A. Riolo, M. E. J. Newman
    http://arxiv.org/abs/1908.09867v1

    • [cs.SI]Intellectual and social similarity among scholarly journals: an exploratory comparison of the networks of editors, authors and co-citations
    Alberto Baccini, Lucio Barabesi, Mahdi Khelfaoui, Yves Gingras
    http://arxiv.org/abs/1908.09120v2

    • [cs.SI]Network Communities of Dynamical Influence
    Ruaridh Clark, Giuliano Punzo, Malcolm Macdonald
    http://arxiv.org/abs/1908.10129v1

    • [eess.AS]VAE-based Domain Adaptation for Speaker Verification
    Xueyi Wang, Lantian Li, Dong Wang
    http://arxiv.org/abs/1908.10092v1

    • [eess.IV]3D Convolutional Neural Networks Image Registration Based on Efficient Supervised Learning from Artificial Deformations
    Hessam Sokooti, Bob de Vos, Floris Berendsen, Mohsen Ghafoorian, Sahar Yousefi, Boudewijn P. F. Lelieveldt, Ivana Isgum, Marius Staring
    http://arxiv.org/abs/1908.10235v1

    • [eess.IV]A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes
    Bo Li, Wiro Niessen, Stefan Klein, Marius de Groot, Arfan Ikram, Meike Vernooij, Esther Bron
    http://arxiv.org/abs/1908.10221v1

    • [eess.IV]Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans
    Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar
    http://arxiv.org/abs/1908.10208v1

    • [eess.IV]DRD-Net: Detail-recovery Image Deraining via Context Aggregation Networks
    Sen Deng, Mingqiang Wei, Jun Wang, Luming Liang, Haoran Xie, Meng Wang
    http://arxiv.org/abs/1908.10267v1

    • [eess.IV]Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
    Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu
    http://arxiv.org/abs/1908.09993v1

    • [eess.IV]End-to-End Conditional GAN-based Architectures for Image Colourisation
    Marc Górriz, Marta Mrak, Alan F. Smeaton, Noel E. O’Connor
    http://arxiv.org/abs/1908.09873v1

    • [eess.IV]Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation
    Santi Puch, Irina Sánchez, Aura Hernández, Gemma Piella, Vesna Prchkovska
    http://arxiv.org/abs/1908.10281v1

    • [eess.IV]Nuclear Instance Segmentation using a Proposal-Free Spatially Aware Deep Learning Framework
    Navid Alemi Koohbanani, Mostafa Jahanifar, Ali Gooya, Nasir Rajpoot
    http://arxiv.org/abs/1908.10356v1

    • [eess.IV]Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
    Bo Li, Marius de Groot, Meike Vernooij, Arfan Ikram, Wiro Niessen, Esther Bron
    http://arxiv.org/abs/1908.10219v1

    • [eess.SP]Robust Tensor Recovery with Fiber Outliers for Traffic Events
    Yue Hu, Dan Work
    http://arxiv.org/abs/1908.10198v1

    • [eess.SP]Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation
    Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
    http://arxiv.org/abs/1908.10017v1

    • [math.CO]Corona product of signed graphs and its application to signed network modelling
    Bibhas Adhikari, Amrik Singh, Sandeep Kumar Yadav
    http://arxiv.org/abs/1908.10018v1

    • [math.HO]Analysis on MathSciNet database: some preliminary results
    Serge Richard, Qiwen Sun
    http://arxiv.org/abs/1908.10282v1

    • [math.PR]The Overlap Gap Property in Principal Submatrix Recovery
    David Gamarnik, Aukosh Jagannath, Subhabrata Sen
    http://arxiv.org/abs/1908.09959v1

    • [math.ST]Copulas and Preserver Problems
    Ahmed Sani, loubna Karbil
    http://arxiv.org/abs/1908.10181v1

    • [math.ST]Fourier-type monitoring procedures for strict stationarity
    Sangyeol Lee, Simos G. Meintanis, Charl Pretorius
    http://arxiv.org/abs/1908.10191v1

    • [math.ST]On the Minimax Optimality of Estimating the Wasserstein Metric
    Tengyuan Liang
    http://arxiv.org/abs/1908.10324v1

    • [math.ST]On the Risk of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels
    Tengyuan Liang, Alexander Rakhlin, Xiyu Zhai
    http://arxiv.org/abs/1908.10292v1

    • [physics.med-ph]CNN-Based PET Sinogram Repair to Mitigate Defective Block Detectors
    William Whiteley, Jens Gregor
    http://arxiv.org/abs/1908.10252v1

    • [physics.soc-ph]Evaluating resilience in urban transportation systems for sustainability: A systems-based Bayesian network model
    Junqing Tang, Hans Heinimann, Ke Han, Hanbin Luo, Botao Zhong
    http://arxiv.org/abs/1908.09774v1

    • [physics.soc-ph]SimBins — An Information-Theoretic Approach to Link Prediction in Real Multiplex Networks
    Seyed Hossein Jafari, Amir Mahdi Abdolhosseini-Qomi, Maseud Rahgozar, Masoud Asadpour, Naser Yazdani
    http://arxiv.org/abs/1908.10053v1

    • [q-bio.GN]SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity
    Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani
    http://arxiv.org/abs/1908.10166v1

    • [q-bio.PE]Machine learning algorithms to infer trait matching and predict species interactions in ecological networks
    Maximilian Pichler, Virginie Boreux, Alexandra-Maria Klein, Matthias Schleuning, Florian Hartig
    http://arxiv.org/abs/1908.09853v1

    • [quant-ph]Holographic Code Rate
    Noah Bray-Ali, David Chester, Dugan Hammock, Marcelo M. Amaral, Klee Irwin, Michael F. Rios
    http://arxiv.org/abs/1908.09253v1

    • [stat.AP]Contextual Stress and Maternal Sensitivity: A Meta-Analytic Review of Stress Associations with the Maternal Behavior Q-Sort in Observational Studies
    Anna Tudehope Booth, Jacqui Macdonald, George Youssef
    http://arxiv.org/abs/1908.09968v1

    • [stat.AP]Eco-Mobility-on-Demand Fleet Control with Ride-Sharing
    Xianan Huang, Boqi Li, Huei Peng, Joshua A. Auld, Vadim O. Sokolov
    http://arxiv.org/abs/1908.09828v1

    • [stat.AP]Model ensembles of artificial neural networks and support vector regression for improved accuracy in the prediction of vegetation conditions
    Chrisgone Adede, Robert Oboko, Peter W. Wagacha, Clement Atzberger
    http://arxiv.org/abs/1908.10104v1

    • [stat.ME]Bayesian decision-making with multiple correlated binary outcomes in clinical trials
    X. M. Kavelaars, J. Mulder, M. C. Kaptein
    http://arxiv.org/abs/1908.10158v1

    • [stat.ME]Consistently estimating graph statistics using Aggregated Relational Data
    Emily Breza, Arun G. Chandrasekhar, Tyler H. McCormick, Mengjie Pan
    http://arxiv.org/abs/1908.09881v1

    • [stat.ME]Optimizing Graphical Procedures for Multiplicity Control in a Confirmatory Clinical Trial via Deep Learning
    Tianyu Zhan, Alan H Hartford, Jian Kang, Walter W Offen
    http://arxiv.org/abs/1908.10262v1

    • [stat.ML]A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis
    Ziqi Wang, Marco Broccardo
    http://arxiv.org/abs/1908.10341v1

    • [stat.ML]Convex Programming for Estimation in Nonlinear Recurrent Models
    Sohail Bahmani, Justin Romberg
    http://arxiv.org/abs/1908.09915v1

    • [stat.ML]Locally Optimized Random Forests
    Tim Coleman, Kimberly Kaufeld, Mary Frances Dorn, Lucas Mentch
    http://arxiv.org/abs/1908.09967v1

    • [stat.ML]Model Selection With Graphical Neighbour Information
    Robert O’Shea
    http://arxiv.org/abs/1908.10243v1

    • [stat.ML]Statistical and Computational Trade-Offs in Kernel K-Means
    Daniele Calandriello, Lorenzo Rosasco
    http://arxiv.org/abs/1908.10284v1

    • [stat.ML]Sufficient Representations for Categorical Variables
    Jonathan Johannemann, Vitor Hadad, Susan Athey, Stefan Wager
    http://arxiv.org/abs/1908.09874v1

    • [stat.OT]A statistical framework for measuring the temporal stability of human mobility patterns
    Zhihang Dong, Yen-Chi Chen, Adrian Dobra

    http://arxiv.org/abs/1908.09830v1