cs.AI - 人工智能
cs.AR - 硬件体系结构 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.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.MA - 多代理系统 cs.NE - 神经与进化计算 cs.NI - 网络和互联网体系结构 cs.RO - 机器人学 cs.SE - 软件工程 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.AS - 语音处理 eess.IV - 图像与视频处理 eess.SY - 系统和控制 math.OC - 优化与控制 math.PR - 概率 q-bio.QM - 定量方法 q-fin.GN - 通用财务 quant-ph - 量子物理 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]”It’s Unwieldy and It Takes a Lot of Time.” Challenges and Opportunities for Creating Agents in Commercial Games
• [cs.AI]A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem
• [cs.AI]Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering
• [cs.AI]Landscape of Machine Implemented Ethics
• [cs.AI]Machine Reasoning Explainability
• [cs.AI]More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings
• [cs.AI]PYCSP3: Modeling Combinatorial Constrained Problems in Python
• [cs.AI]Solving the single-track train scheduling problem via Deep Reinforcement Learning
• [cs.AI]Visual Causality Analysis of Event Sequence Data
• [cs.AI]XCSP3-core: A Format for Representing Constraint Satisfaction/Optimization Problems
• [cs.AR]Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing
• [cs.CL]Extracting Semantic Concepts and Relations from Scientific Publications by Using Deep Learning
• [cs.CL]PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs
• [cs.CL]SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks
• [cs.CL]Temporal Mental Health Dynamics on Social Media
• [cs.CR]Efficient Evasion Attacks to Graph Neural Networks via Influence Function
• [cs.CR]POSEIDON:Privacy-Preserving Federated Neural Network Learning
• [cs.CR]Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs
• [cs.CR]Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries
• [cs.CV]3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation
• [cs.CV]A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
• [cs.CV]A High-Level Description and Performance Evaluation of Pupil Invisible
• [cs.CV]A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
• [cs.CV]A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
• [cs.CV]A Short Review on Data Modelling for Vector Fields
• [cs.CV]Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification
• [cs.CV]Automatic Radish Wilt Detection Using Image Processing Based Techniques and Machine Learning Algorithm
• [cs.CV]Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks
• [cs.CV]Distinctive 3D local deep descriptors
• [cs.CV]DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods
• [cs.CV]GIF: Generative Interpretable Faces
• [cs.CV]Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
• [cs.CV]Heatmap Regression via Randomized Rounding
• [cs.CV]Inducing Predictive Uncertainty Estimation for Face Recognition
• [cs.CV]LaDDer: Latent Data Distribution Modelling with a Generative Prior
• [cs.CV]LiftFormer: 3D Human Pose Estimation using attention models
• [cs.CV]LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation
• [cs.CV]MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM
• [cs.CV]Multi-channel Transformers for Multi-articulatory Sign Language Translation
• [cs.CV]Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning
• [cs.CV]Object Detection-Based Variable Quantization Processing
• [cs.CV]Online Multi-Object Tracking and Segmentation with GMPHD Filter and Simple Affinity Fusion
• [cs.CV]PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
• [cs.CV]Personalization in Human Activity Recognition
• [cs.CV]RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation
• [cs.CV]Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
• [cs.CV]Temporal Continuity Based Unsupervised Learning for Person Re-Identification
• [cs.CV]To augment or not to augment? Data augmentation in user identification based on motion sensors
• [cs.CV]Uncovering Hidden Challenges in Query-Based Video Moment Retrieval
• [cs.CV]Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions
• [cs.CY]An Experience of Introducing Primary School Children to Programming using Ozobots
• [cs.CY]Bubble Storytelling with Automated Animation: A Brexit Hashtag Activism Case Study
• [cs.CY]Continuous Artificial Prediction Markets as a Syndromic Surveillance Technique
• [cs.CY]Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation
• [cs.CY]Explainability Case Studies
• [cs.CY]High-Resolution Poverty Maps in Sub-Saharan Africa
• [cs.CY]LoRaWAN Temperature Sensors for Local Government Asset Management
• [cs.CY]Return to Bali
• [cs.CY]Suspect AI: Vibraimage, Emotion Recognition Technology, and Algorithmic Opacity
• [cs.DB]Tensor Relational Algebra for Machine Learning System Design
• [cs.DC]Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond
• [cs.DC]Federated Edge Learning : Design Issues and Challenges
• [cs.DC]GOSH: Embedding Big Graphs on Small Hardware
• [cs.DC]LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes
• [cs.DC]Railgun: streaming windows for mission critical systems
• [cs.DC]WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development — Technical Report
• [cs.DL]Mapping Researchers with PeopleMap
• [cs.DS]Localized Topological Simplification of Scalar Data
• [cs.HC]MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales
• [cs.HC]PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning
• [cs.HC]Toward Multimodal Modeling of Emotional Expressiveness
• [cs.IR]From Clicks to Conversions: Recommendation for long-term reward
• [cs.IT]A Concentration of Measure Approach to Correlated Graph Matching
• [cs.IT]Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing with Side-Information
• [cs.IT]Ergodic Secrecy Capacity of RIS-Assisted Communication Systems in the Presence of Discrete Phase Shifts and Multiple Eavesdroppers
• [cs.IT]Fast Grant Learning-Based Approach for Machine Type Communications with NOMA
• [cs.IT]Large Intelligent Surface Aided Physical Layer Security Transmission
• [cs.IT]Pecoding and Scheduling for AoI Minimization in MIMO Broadcast Channels
• [cs.IT]Precise Expression for the Algorithmic Information Distance
• [cs.IT]Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA networks
• [cs.IT]Secrecy Outage Analysis of Two-Hop Decode-and-Forward Mixed RF/UWOC Systems
• [cs.LG]A Mathematical Introduction to Generative Adversarial Nets (GAN)
• [cs.LG]A Survey of Deep Active Learning
• [cs.LG]Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT
• [cs.LG]Adversarial Shapley Value Experience Replay for Task-Free Continual Learning
• [cs.LG]An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network
• [cs.LG]Boosting House Price Predictions using Geo-Spatial Network Embedding
• [cs.LG]Boosting share routing for multi-task learning
• [cs.LG]Developing Constrained Neural Units Over Time
• [cs.LG]Distance Encoding — Design Provably More Powerful GNNs for Structural Representation Learning
• [cs.LG]Graph Embedding with Data Uncertainty
• [cs.LG]Improved Weighted Random Forest for Classification Problems
• [cs.LG]Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
• [cs.LG]Learning explanations that are hard to vary
• [cs.LG]Performance-Agnostic Fusion of Probabilistic Classifier Outputs
• [cs.LG]Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy
• [cs.LG]Scaling Up Deep Neural Network Optimization for Edge Inference
• [cs.LG]Training Deep Neural Networks with Constrained Learning Parameters
• [cs.LG]Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
• [cs.MA]Finding Core Members of Cooperative Games using Agent-Based Modeling
• [cs.MA]Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions
• [cs.NE]A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP
• [cs.NE]Adaptation in a System Metamodel for Evolutionary Computation
• [cs.NE]The Computational Capacity of Memristor Reservoirs
• [cs.NI]On the Benefits of Multi-hop Communication for Indoor 60 GHz Wireless Networks
• [cs.NI]Under Water Waste Cleaning by Mobile Edge Computing and Intelligent Image Processing Based Robotic Fish
• [cs.RO]A Samplable Multimodal Observation Model for Global Localization and Kidnapping
• [cs.RO]Accurate Prediction and Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method
• [cs.RO]Autonomous Formula Racecar: Overall System Design and Experimental Validation
• [cs.RO]Flightmare: A Flexible Quadrotor Simulator
• [cs.RO]Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
• [cs.RO]Intelligent Hotel ROS-based Service Robot
• [cs.SE]Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines
• [cs.SI]Dynamics of node influence in network growth models
• [cs.SI]Internal migration and mobile communication patterns among pairs with strong ties
• [cs.SI]Random Surfing Revisited: Generalizing PageRank’s Teleportation Model
• [cs.SI]Structural balance of alliance and rivalry networks in international relations
• [cs.SI]Top-k Socio-Spatial Co-engaged Location Selection for Social Users
• [cs.SI]Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2020
• [cs.SI]Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July
• [cs.SI]Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks
• [cs.SI]Using Social Networks to Improve Group Transition Prediction in Professional Sports
• [econ.EM]Time-Varying Parameters as Ridge Regressions
• [eess.AS]Neural Architecture Search For Keyword Spotting
• [eess.AS]Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition
• [eess.IV]Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium
• [eess.IV]End-to-End Hyperspectral-Depth Imaging with Learned Diffractive Optics
• [eess.IV]Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence
• [eess.IV]Image Super-Resolution using Explicit Perceptual Loss
• [eess.IV]On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking
• [eess.IV]PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space
• [eess.IV]Quality-aware semi-supervised learning for CMR segmentation
• [eess.IV]Recognition Oriented Iris Image Quality Assessment in the Feature Space
• [eess.IV]Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data
• [eess.SY]Market Model for Demand Response under Block Rate Pricing
• [eess.SY]Optimal Bayesian Quickest Detection for Hidden Markov Models and Structured Generalisations
• [eess.SY]Transaction Pricing for Maximizing Throughput in a Sharded Blockchain Ledger
• [math.OC]Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization
• [math.PR]Edge statistics of large dimensional deformed rectangular matrices
• [math.PR]Large-dimensional Central Limit Theorem with Fourth-moment Error Bounds on Convex Sets and Balls
• [math.PR]Statistical analysis of the non-ergodic fractional Ornstein-Uhlenbeck process with periodic mean
• [q-bio.QM]Unsupervised and Supervised Structure Learning for Protein Contact Prediction
• [q-fin.GN]Contingent Convertible Bonds in Financial Networks
• [quant-ph]Universal Approximation Property of Quantum Feature Map
• [stat.AP]A Comparative Study of Parametric Regression Models to Detect Breakpoint in Traffic Fundamental Diagram
• [stat.AP]Application of the Cox Regression Model for Analysis of Railway Safety Performance
• [stat.AP]Variable selection in social-environmental data: Sparse regression and tree ensemble machine learning approaches
• [stat.CO]Adaptive Path Sampling in Metastable Posterior Distributions
• [stat.CO]diproperm: An R Package for the DiProPerm Test
• [stat.ME]Accounting for correlated horizontal pleiotropy in two-sample Mendelian randomization using correlated instrumental variants
• [stat.ME]Characterizing the Probability Law on Time Until Core Damage With PRA
• [stat.ME]Design and Analysis of Switchback Experiments
• [stat.ME]Informative Goodness-of-Fit for Multivariate Distributions
• [stat.ME]Invited Discussion of “A Unified Framework for De-Duplication and Population Size Estimation”
• [stat.ML]Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport
• [stat.ML]InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification
• [stat.ML]Random Forest (RF) Kernel for Regression, Classification and Survival
• [stat.ML]Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction
• [stat.ML]Stochastic Graph Recurrent Neural Network
• [stat.ML]Uncertainty quantification for Markov Random Fields
• [stat.ML]Variational Mixture of Normalizing Flows
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• [cs.AI]“It’s Unwieldy and It Takes a Lot of Time.” Challenges and Opportunities for Creating Agents in Commercial Games
Mikhail Jacob, Sam Devlin, Katja Hofmann
http://arxiv.org/abs/2009.00541v1
• [cs.AI]A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem
Kun Xiao, Junqi Lu, Ying Nie, Lan Ma, Xiangke Wang, Guohui Wang
http://arxiv.org/abs/2009.00363v1
• [cs.AI]Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering
Jing Yu, Zihao Zhu, Yujing Wang, Weifeng Zhang, Yue Hu, Jianlong Tan
http://arxiv.org/abs/2009.00145v1
• [cs.AI]Landscape of Machine Implemented Ethics
Vivek Nallur
http://arxiv.org/abs/2009.00335v1
• [cs.AI]Machine Reasoning Explainability
Kristijonas Cyras, Ramamurthy Badrinath, Swarup Kumar Mohalik, Anusha Mujumdar, Alexandros Nikou, Alessandro Previti, Vaishnavi Sundararajan, Aneta Vulgarakis Feljan
http://arxiv.org/abs/2009.00418v1
• [cs.AI]More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings
Andreea Iana, Heiko Paulheim
http://arxiv.org/abs/2009.00318v1
• [cs.AI]PYCSP3: Modeling Combinatorial Constrained Problems in Python
Christophe Lecoutre, Nicolas Szczepanski
http://arxiv.org/abs/2009.00326v1
• [cs.AI]Solving the single-track train scheduling problem via Deep Reinforcement Learning
Valerio Agasucci, Giorgio Grani, Leonardo Lamorgese
http://arxiv.org/abs/2009.00433v1
• [cs.AI]Visual Causality Analysis of Event Sequence Data
Zhuochen Jin, Shunan Guo, Nan Chen, Daniel Weiskopf, David Gotz, Nan Cao
http://arxiv.org/abs/2009.00219v1
• [cs.AI]XCSP3-core: A Format for Representing Constraint Satisfaction/Optimization Problems
Frédéric Boussemart, Christophe Lecoutre, Gilles Audemard, Cédric Piette
http://arxiv.org/abs/2009.00514v1
• [cs.AR]Direct CMOS Implementation of Neuromorphic Temporal Neural Networks for Sensory Processing
Harideep Nair, John Paul Shen, James E. Smith
http://arxiv.org/abs/2009.00457v1
• [cs.CL]Extracting Semantic Concepts and Relations from Scientific Publications by Using Deep Learning
Fatima N. AL-Aswadi, Huah Yong Chan, Keng Hoon Gan
http://arxiv.org/abs/2009.00331v1
• [cs.CL]PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs
Debayan Banerjee, Debanjan Chaudhuri, Mohnish Dubey, Jens Lehmann
http://arxiv.org/abs/2009.00106v1
• [cs.CL]SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks
Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan
http://arxiv.org/abs/2009.00590v1
• [cs.CL]Temporal Mental Health Dynamics on Social Media
Tom Tabak, Matthew Purver
http://arxiv.org/abs/2008.13121v2
• [cs.CR]Efficient Evasion Attacks to Graph Neural Networks via Influence Function
Binghui Wang, Tianxiang Zhou, Minhua Lin, Pan Zhou, Ang Li, Meng Pang, Cai Fu, Hai Li, Yiran Chen
http://arxiv.org/abs/2009.00203v1
• [cs.CR]POSEIDON:Privacy-Preserving Federated Neural Network Learning
Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux
http://arxiv.org/abs/2009.00349v1
• [cs.CR]Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs
Houxiang Fan, Binghui Wang, Pan Zhou, Ang Li, Meng Pang, Zichuan Xu, Cai Fu, Hai Li, Yiran Chen
http://arxiv.org/abs/2009.00163v1
• [cs.CR]Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries
Shadi Rahimian, Tribhuvanesh Orekondy, Mario Fritz
http://arxiv.org/abs/2009.00395v1
• [cs.CV]3D-DEEP: 3-Dimensional Deep-learning based on elevation patterns forroad scene interpretation
A. Hernández, S. Woo, H. Corrales, I. Parra, E. Kim, D. F. Llorca, M. A. Sotelo
http://arxiv.org/abs/2009.00330v1
• [cs.CV]A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon, Kyunghyun Cho
http://arxiv.org/abs/2009.00104v1
• [cs.CV]A High-Level Description and Performance Evaluation of Pupil Invisible
Marc Tonsen, Chris Kay Baumann, Kai Dierkes
http://arxiv.org/abs/2009.00508v1
• [cs.CV]A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis, Steffen Schneider, Jessy Lauer, Mackenzie W. Mathis
http://arxiv.org/abs/2009.00564v1
• [cs.CV]A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer
http://arxiv.org/abs/2009.00155v1
• [cs.CV]A Short Review on Data Modelling for Vector Fields
Jun Li, Wanrong Hong, Yusheng Xiang
http://arxiv.org/abs/2009.00577v1
• [cs.CV]Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification
Bing Liu, Anzhu Yu, Pengqiang Zhang, Lei Ding, Wenyue Guo, Kuiliang Gao, Xibing Zuo
http://arxiv.org/abs/2009.00320v1
• [cs.CV]Automatic Radish Wilt Detection Using Image Processing Based Techniques and Machine Learning Algorithm
Asif Ashraf Patankar, Hyeonjoon Moon
http://arxiv.org/abs/2009.00173v1
• [cs.CV]Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks
Maryam Rahnemoonfar, Debvrat Varshney, Masoud Yari, John Paden
http://arxiv.org/abs/2009.00191v1
• [cs.CV]Distinctive 3D local deep descriptors
Fabio Poiesi, Davide Boscaini
http://arxiv.org/abs/2009.00258v1
• [cs.CV]DropLeaf: a precision farming smartphone application for measuring pesticide spraying methods
Bruno Brandoli, Gabriel Spadon, Travis Esau, Patrick Hennessy, Andre C. P. L. Carvalho, Jose F. Rodrigues-Jr, Sihem Amer-Yahia
http://arxiv.org/abs/2009.00453v1
• [cs.CV]GIF: Generative Interpretable Faces
Partha Ghosh, Pravir Singh Gupta, Roy Uziel, Anurag Ranjan, Michael Black, Timo Bolkart
http://arxiv.org/abs/2009.00149v1
• [cs.CV]Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow
Yu-Chao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng
http://arxiv.org/abs/2009.00303v1
• [cs.CV]Heatmap Regression via Randomized Rounding
Baosheng Yu, Dacheng Tao
http://arxiv.org/abs/2009.00225v1
• [cs.CV]Inducing Predictive Uncertainty Estimation for Face Recognition
Weidi Xie, Jeffrey Byrne, Andrew Zisserman
http://arxiv.org/abs/2009.00603v1
• [cs.CV]LaDDer: Latent Data Distribution Modelling with a Generative Prior
Shuyu Lin, Ronald Clark
http://arxiv.org/abs/2009.00088v1
• [cs.CV]LiftFormer: 3D Human Pose Estimation using attention models
Adrian Llopart
http://arxiv.org/abs/2009.00348v1
• [cs.CV]LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation
Ce Zheng, Yecheng Lyu, Ming Li, Ziming Zhang
http://arxiv.org/abs/2009.00164v1
• [cs.CV]MORPH-DSLAM: Model Order Reduction for PHysics-based Deformable SLAM
Alberto Badias, Iciar Alfaro, David Gonzalez, Francisco Chinesta, Elias Cueto
http://arxiv.org/abs/2009.00576v1
• [cs.CV]Multi-channel Transformers for Multi-articulatory Sign Language Translation
Necati Cihan Camgoz, Oscar Koller, Simon Hadfield, Richard Bowden
http://arxiv.org/abs/2009.00299v1
• [cs.CV]Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning
Liqi Yan, Dongfang Liu, Yaoxian Song, Changbin Yu
http://arxiv.org/abs/2009.00402v1
• [cs.CV]Object Detection-Based Variable Quantization Processing
Likun Liu, Hua Qi
http://arxiv.org/abs/2009.00189v1
• [cs.CV]Online Multi-Object Tracking and Segmentation with GMPHD Filter and Simple Affinity Fusion
Young-min Song, Moongu Jeon
http://arxiv.org/abs/2009.00100v1
• [cs.CV]PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection
Jingchen Sun, Jiming Chen, Tao Chen, Jiayuan Fan, Shibo He
http://arxiv.org/abs/2009.00312v1
• [cs.CV]Personalization in Human Activity Recognition
Anna Ferrari, Daniela Micucci, Marco Mobilio, Paolo Napoletano
http://arxiv.org/abs/2009.00268v1
• [cs.CV]RangeRCNN: Towards Fast and Accurate 3D Object Detection with Range Image Representation
Zhidong Liang, Ming Zhang, Zehan Zhang, Xian Zhao, Shiliang Pu
http://arxiv.org/abs/2009.00206v1
• [cs.CV]Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
Yang Liu, Guanbin Li, Liang Lin
http://arxiv.org/abs/2009.00210v1
• [cs.CV]Temporal Continuity Based Unsupervised Learning for Person Re-Identification
Usman Ali, Bayram Bayramli, Hongtao Lu
http://arxiv.org/abs/2009.00242v1
• [cs.CV]To augment or not to augment? Data augmentation in user identification based on motion sensors
Cezara Benegui, Radu Tudor Ionescu
http://arxiv.org/abs/2009.00300v1
• [cs.CV]Uncovering Hidden Challenges in Query-Based Video Moment Retrieval
Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä
http://arxiv.org/abs/2009.00325v1
• [cs.CV]Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions
Kyle McCullough, Andrew Feng, Meida Chen, Ryan McAlinden
http://arxiv.org/abs/2009.00185v1
• [cs.CY]An Experience of Introducing Primary School Children to Programming using Ozobots
Nina Körber, Lisa Bailey, Gordon Fraser, Barbara Sabitzer, Marina Rottenhofer
http://arxiv.org/abs/2008.13566v1
• [cs.CY]Bubble Storytelling with Automated Animation: A Brexit Hashtag Activism Case Study
Noptanit Chotisarn, Junhua Lu, Libinzi Ma, Jingli Xu, Linhao Meng, Bingru Lin, Ying Xu, Xiaonan Luo, Wei Chen
http://arxiv.org/abs/2009.00549v1
• [cs.CY]Continuous Artificial Prediction Markets as a Syndromic Surveillance Technique
Fatemeh Jahedpari
http://arxiv.org/abs/2009.00394v1
• [cs.CY]Entropy of Co-Enrolment Networks Reveal Disparities in High School STEM Participation
Steven Martin Turnbull, Dion R. J. O’Neale
http://arxiv.org/abs/2008.13575v1
• [cs.CY]Explainability Case Studies
Ben Zevenbergen, Allison Woodruff, Patrick Gage Kelley
http://arxiv.org/abs/2009.00246v1
• [cs.CY]High-Resolution Poverty Maps in Sub-Saharan Africa
Kamwoo Lee, Jeanine Braithwaite
http://arxiv.org/abs/2009.00544v1
• [cs.CY]LoRaWAN Temperature Sensors for Local Government Asset Management
Jack Downes
http://arxiv.org/abs/2009.00172v1
• [cs.CY]Return to Bali
Marc Böhlen, Wawan Sujarwo
http://arxiv.org/abs/2009.00597v1
• [cs.CY]Suspect AI: Vibraimage, Emotion Recognition Technology, and Algorithmic Opacity
James Wright
http://arxiv.org/abs/2009.00502v1
• [cs.DB]Tensor Relational Algebra for Machine Learning System Design
Binhang Yuan, Dimitrije Jankov, Jia Zou, Yuxin Tang, Daniel Bourgeois, Chris Jermaine
http://arxiv.org/abs/2009.00524v1
• [cs.DC]Design and Simulation of a Hybrid Architecture for Edge Computing in 5G and Beyond
Hamed Rahimi, Yvan Picaud, Salvatore Costanzo, Giyyarpuram Madhusudan, Olivier Boissier, kamal Deep Singh
http://arxiv.org/abs/2009.00041v1
• [cs.DC]Federated Edge Learning : Design Issues and Challenges
Afaf Taïk, Soumaya Cherkaoui
http://arxiv.org/abs/2009.00081v1
• [cs.DC]GOSH: Embedding Big Graphs on Small Hardware
Taha Atahan Akyildiz, Amro Alabsi Aljundi, Kamer Kaya
http://arxiv.org/abs/2008.12336v2
• [cs.DC]LoCUS: A multi-robot loss-tolerant algorithm for surveying volcanic plumes
John Erickson, Abhinav Aggarwal, G. Matthew Fricke, Melanie E. Moses
http://arxiv.org/abs/2009.00156v1
• [cs.DC]Railgun: streaming windows for mission critical systems
João Oliveirinha, Ana Sofia Gomes, Pedro Cardoso, Pedro Bizarro
http://arxiv.org/abs/2009.00361v1
• [cs.DC]WorkflowHub: Community Framework for Enabling Scientific Workflow Research and Development — Technical Report
Rafael Ferreira da Silva, Loïc Pottier, Tainã Coleman, Ewa Deelman, Henri Casanova
http://arxiv.org/abs/2009.00250v1
• [cs.DL]Mapping Researchers with PeopleMap
Jon Saad-Falcon, Omar Shaikh, Zijie J. Wang, Austin P. Wright, Sasha Richardson, Duen Horng Chau
http://arxiv.org/abs/2009.00091v1
• [cs.DS]Localized Topological Simplification of Scalar Data
Jonas Lukasczyk, Christoph Garth, Ross Maciejewski, Julien Tierny
http://arxiv.org/abs/2009.00083v1
• [cs.HC]MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales
Philipp Meschenmoser, Juri F. Buchmüller, Daniel Seebacher, Martin Wikelski, Daniel A. Keim
http://arxiv.org/abs/2009.00548v1
• [cs.HC]PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning
Tan Tang, Renzhong Li, Xinke Wu, Shuhan Liu, Johannes Knittel, Steffen Koch, Thomas Ertl, Lingyun Yu, Peiran Ren, Yingcai Wu
http://arxiv.org/abs/2009.00249v1
• [cs.HC]Toward Multimodal Modeling of Emotional Expressiveness
Victoria Lin, Jeffrey M. Girard, Michael A. Sayette, Louis-Philippe Morency
http://arxiv.org/abs/2009.00001v1
• [cs.IR]From Clicks to Conversions: Recommendation for long-term reward
Philomène Chagniot, Flavian Vasile, David Rohde
http://arxiv.org/abs/2009.00497v1
• [cs.IT]A Concentration of Measure Approach to Correlated Graph Matching
Farhad Shirani, Siddharth Garg, Elza Erkip
http://arxiv.org/abs/2009.00467v1
• [cs.IT]Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing with Side-Information
Salman Salamatian, Wasim Huleihel, Ahmad Beirami, Asaf Cohen, Muriel Médard
http://arxiv.org/abs/2008.12823v1
• [cs.IT]Ergodic Secrecy Capacity of RIS-Assisted Communication Systems in the Presence of Discrete Phase Shifts and Multiple Eavesdroppers
Peng Xu, Gaojie Chen, Gaofeng Pan, Marco Di Renzo
http://arxiv.org/abs/2009.00517v1
• [cs.IT]Fast Grant Learning-Based Approach for Machine Type Communications with NOMA
Manal El Tanab, Walaa Hamouda
http://arxiv.org/abs/2009.00105v1
• [cs.IT]Large Intelligent Surface Aided Physical Layer Security Transmission
Biqian Feng, Yongpeng Wu, Mengfan Zheng, Xiang-Gen Xia, Yongjian Wang, Chengshan Xiao
http://arxiv.org/abs/2009.00473v1
• [cs.IT]Pecoding and Scheduling for AoI Minimization in MIMO Broadcast Channels
Songtao Feng, Jing Yang
http://arxiv.org/abs/2009.00171v1
• [cs.IT]Precise Expression for the Algorithmic Information Distance
Bruno Bauwens
http://arxiv.org/abs/2009.00469v1
• [cs.IT]Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA networks
Zheng Zhang, Lu Lv, Qingqing Wu, Hao Deng, Jian Chen
http://arxiv.org/abs/2009.00267v1
• [cs.IT]Secrecy Outage Analysis of Two-Hop Decode-and-Forward Mixed RF/UWOC Systems
Yi Lou, Ruofan Sun, Julian Cheng, Donghu Nie, Gang Qiao
http://arxiv.org/abs/2009.00328v1
• [cs.LG]A Mathematical Introduction to Generative Adversarial Nets (GAN)
Yang Wang
http://arxiv.org/abs/2009.00169v1
• [cs.LG]A Survey of Deep Active Learning
Pengzhen Ren, Yun Xiao, Xiaojun Chang, Po-Yao Huang, Zhihui Li, Xiaojiang Chen, Xin Wang
http://arxiv.org/abs/2009.00236v1
• [cs.LG]Advancing from Predictive Maintenance to Intelligent Maintenance with AI and IIoT
Haining Zheng, Antonio R. Paiva, Chris S. Gurciullo
http://arxiv.org/abs/2009.00351v1
• [cs.LG]Adversarial Shapley Value Experience Replay for Task-Free Continual Learning
Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
http://arxiv.org/abs/2009.00093v1
• [cs.LG]An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network
Thanh Tung Khuat, Bogdan Gabrys
http://arxiv.org/abs/2009.00237v1
• [cs.LG]Boosting House Price Predictions using Geo-Spatial Network Embedding
Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis
http://arxiv.org/abs/2009.00254v1
• [cs.LG]Boosting share routing for multi-task learning
Xiaokai Chen, Xiaoguang Gu, Libo Fu
http://arxiv.org/abs/2009.00387v1
• [cs.LG]Developing Constrained Neural Units Over Time
Alessandro Betti, Marco Gori, Simone Marullo, Stefano Melacci
http://arxiv.org/abs/2009.00296v1
• [cs.LG]Distance Encoding — Design Provably More Powerful GNNs for Structural Representation Learning
Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec
http://arxiv.org/abs/2009.00142v1
• [cs.LG]Graph Embedding with Data Uncertainty
Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj
http://arxiv.org/abs/2009.00505v1
• [cs.LG]Improved Weighted Random Forest for Classification Problems
Mohsen Shahhosseini, Guiping Hu
http://arxiv.org/abs/2009.00534v1
• [cs.LG]Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
Qifan Zhang, Yue Guan, Panagiotis Tsiotras
http://arxiv.org/abs/2009.00162v1
• [cs.LG]Learning explanations that are hard to vary
Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schölkopf
http://arxiv.org/abs/2009.00329v1
• [cs.LG]Performance-Agnostic Fusion of Probabilistic Classifier Outputs
Jordan F. Masakuna, Simukai W. Utete, Steve Kroon
http://arxiv.org/abs/2009.00565v1
• [cs.LG]Rank-one partitioning: formalization, illustrative examples, and a new cluster enhancing strategy
Charlotte Laclau, Franck Iutzeler, Ievgen Redko
http://arxiv.org/abs/2009.00365v1
• [cs.LG]Scaling Up Deep Neural Network Optimization for Edge Inference
Bingqian Lu, Jianyi Yang, Shaolei Ren
http://arxiv.org/abs/2009.00278v1
• [cs.LG]Training Deep Neural Networks with Constrained Learning Parameters
Prasanna Date, Christopher D. Carothers, John E. Mitchell, James A. Hendler, Malik Magdon-Ismail
http://arxiv.org/abs/2009.00540v1
• [cs.LG]Unsupervised Domain Adaptation with Progressive Adaptation of Subspaces
Weikai Li, Songcan Chen
http://arxiv.org/abs/2009.00520v1
• [cs.MA]Finding Core Members of Cooperative Games using Agent-Based Modeling
Daniele Vernon-Bido, Andrew J. Collins
http://arxiv.org/abs/2009.00519v1
• [cs.MA]Needs-driven Heterogeneous Multi-Robot Cooperation in Rescue Missions
Qin Yang, Ramviyas Parasuraman
http://arxiv.org/abs/2009.00288v1
• [cs.NE]A Deep 2-Dimensional Dynamical Spiking Neuronal Network for Temporal Encoding trained with STDP
Matthew Evanusa, Cornelia Fermuller, Yiannis Aloimonos
http://arxiv.org/abs/2009.00581v1
• [cs.NE]Adaptation in a System Metamodel for Evolutionary Computation
Patrik Christen, Olivier Del Fabbro
http://arxiv.org/abs/2009.00110v1
• [cs.NE]The Computational Capacity of Memristor Reservoirs
Forrest C. Sheldon, Artemy Kolchinsky, Francesco Caravelli
http://arxiv.org/abs/2009.00112v1
• [cs.NI]On the Benefits of Multi-hop Communication for Indoor 60 GHz Wireless Networks
Chanaka Samarathunga, Mohamed Abouelseoud, Kazuyuki Sakoda, Morteza Hashemi
http://arxiv.org/abs/2009.00205v1
• [cs.NI]Under Water Waste Cleaning by Mobile Edge Computing and Intelligent Image Processing Based Robotic Fish
Subhadeep Sahoo, Xiao Han Dong, Zi Qian Liu, Joydeep Sahoo
http://arxiv.org/abs/2009.00072v1
• [cs.RO]A Samplable Multimodal Observation Model for Global Localization and Kidnapping
Runjian Chen, Yue Wang, Huan Yin, Yanmei Jiao, Gamini Dissanayake, Rong Xiong
http://arxiv.org/abs/2009.00211v1
• [cs.RO]Accurate Prediction and Estimation of 3D-Repetitive-Trajectories using Kalman Filter, Machine Learning and Curve-Fitting Method
Aakriti Agrawal, Aashay Bhise, Rohitkumar Arasanipalai, Lima Agnel Tony, Shuvrangshu Jana, Debasish Ghose
http://arxiv.org/abs/2009.00067v1
• [cs.RO]Autonomous Formula Racecar: Overall System Design and Experimental Validation
Hanqing Tian, Jun Ni, Zirui Li, Jibin Hu
http://arxiv.org/abs/2009.00385v1
• [cs.RO]Flightmare: A Flexible Quadrotor Simulator
Yunlong Song, Selim Naji, Elia Kaufmann, Antonio Loquercio, Davide Scaramuzza
http://arxiv.org/abs/2009.00563v1
• [cs.RO]Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments
Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Stürzl, Teresa Vidal-Calleja, Rudolph Triebel
http://arxiv.org/abs/2009.00221v1
• [cs.RO]Intelligent Hotel ROS-based Service Robot
Yanyu Zhang, Xiu Wang, Xuan Wu, Wenjing Zhang, Meiqian Jiang, Mahmood Al-Khassaweneh
http://arxiv.org/abs/2009.00594v1
• [cs.SE]Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines
Sören Henning, Wilhelm Hasselbring
http://arxiv.org/abs/2009.00304v1
• [cs.SI]Dynamics of node influence in network growth models
Shravika Mittal, Tanmoy Chakraborty, Siddharth Pal
http://arxiv.org/abs/2009.00235v1
• [cs.SI]Internal migration and mobile communication patterns among pairs with strong ties
Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya, Hang-Hyun Jo, Kimmo Kaski
http://arxiv.org/abs/2009.00252v1
• [cs.SI]Random Surfing Revisited: Generalizing PageRank’s Teleportation Model
Athanasios N. Nikolakopoulos
http://arxiv.org/abs/2008.12916v2
• [cs.SI]Structural balance of alliance and rivalry networks in international relations
Koji Oishi, Kentaro Sakuwa
http://arxiv.org/abs/2009.00369v1
• [cs.SI]Top-k Socio-Spatial Co-engaged Location Selection for Social Users
Nur Al Hasan Haldar, Jianxin Li, Mohammed Eunus Ali, Taotao Cai, Timos Sellis, Mark Reynolds
http://arxiv.org/abs/2009.00373v1
• [cs.SI]Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2020
Salvatore Giorgi, Sharath Chandra Guntuku, Muhammad Rahman, McKenzie Himelein-Wachowiak, Amy Kwarteng, Brenda Curtis
http://arxiv.org/abs/2009.00596v1
• [cs.SI]Twitter Interaction to Analyze Covid-19 Impact in Ghana, Africa from March to July
Josimar Chire Saire, Kobby Panford-Quainoo
http://arxiv.org/abs/2008.12277v2
• [cs.SI]Using Graphlet Spectrograms for Temporal Pattern Analysis of Virus-Research Collaboration Networks
Dimitris Floros, Tiancheng Liu, Nikos Pitsianis, Xiaobai Sun
http://arxiv.org/abs/2009.00477v1
• [cs.SI]Using Social Networks to Improve Group Transition Prediction in Professional Sports
Emily J. Evans, Rebecca Jones, Joseph Leung, Benjamin Z. Webb
http://arxiv.org/abs/2009.00550v1
• [econ.EM]Time-Varying Parameters as Ridge Regressions
Philippe Goulet Coulombe
http://arxiv.org/abs/2009.00401v1
• [eess.AS]Neural Architecture Search For Keyword Spotting
Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
http://arxiv.org/abs/2009.00165v1
• [eess.AS]Parallel Rescoring with Transformer for Streaming On-Device Speech Recognition
Wei Li, James Qin, Chung-Cheng Chiu, Ruoming Pang, Yanzhang He
http://arxiv.org/abs/2008.13093v2
• [eess.IV]Data and Image Prior Integration for Image Reconstruction Using Consensus Equilibrium
Muhammad Usman Ghani, W. Clem Karl
http://arxiv.org/abs/2009.00092v1
• [eess.IV]End-to-End Hyperspectral-Depth Imaging with Learned Diffractive Optics
Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim
http://arxiv.org/abs/2009.00463v1
• [eess.IV]Image Reconstruction of Static and Dynamic Scenes through Anisoplanatic Turbulence
Zhiyuan Mao, Nicholas Chimitt, Stanley Chan
http://arxiv.org/abs/2009.00071v1
• [eess.IV]Image Super-Resolution using Explicit Perceptual Loss
Tomoki Yoshida, Kazutoshi Akita, Muhammad Haris, Norimichi Ukita
http://arxiv.org/abs/2009.00382v1
• [eess.IV]On The Usage Of Average Hausdorff Distance For Segmentation Performance Assessment: Hidden Bias When Used For Ranking
Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, Vince Istvan Madai
http://arxiv.org/abs/2009.00215v1
• [eess.IV]PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space
Christoph Angermann, Markus Haltmeier
http://arxiv.org/abs/2009.00378v1
• [eess.IV]Quality-aware semi-supervised learning for CMR segmentation
Bram Ruijsink, Esther Puyol-Anton, Ye Li, Wenja Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
http://arxiv.org/abs/2009.00584v1
• [eess.IV]Recognition Oriented Iris Image Quality Assessment in the Feature Space
Leyuan Wang, Kunbo Zhang, Min Ren, Yunlong Wang, Zhenan Sun
http://arxiv.org/abs/2009.00294v1
• [eess.IV]Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data
Filippo Maria Castelli, Matteo Roffilli, Giacomo Mazzamuto, Irene Costantini, Ludovico Silvestri, Francesco Saverio Pavone
http://arxiv.org/abs/2009.00029v1
• [eess.SY]Market Model for Demand Response under Block Rate Pricing
Haris Mansoor, Naveed Arshad
http://arxiv.org/abs/2009.00439v1
• [eess.SY]Optimal Bayesian Quickest Detection for Hidden Markov Models and Structured Generalisations
Jasmin James, Jason J. Ford, Jenna Riseley, Timothy L. Molloy
http://arxiv.org/abs/2009.00150v1
• [eess.SY]Transaction Pricing for Maximizing Throughput in a Sharded Blockchain Ledger
James R. Riehl, Jonathan Ward
http://arxiv.org/abs/2009.00319v1
• [math.OC]Linear-Quadratic Zero-Sum Mean-Field Type Games: Optimality Conditions and Policy Optimization
René Carmona, Kenza Hamidouche, Mathieu Laurière, Zongjun Tan
http://arxiv.org/abs/2009.00578v1
• [math.PR]Edge statistics of large dimensional deformed rectangular matrices
Xiucai Ding, Fan Yang
http://arxiv.org/abs/2009.00389v1
• [math.PR]Large-dimensional Central Limit Theorem with Fourth-moment Error Bounds on Convex Sets and Balls
Xiao Fang, Yuta Koike
http://arxiv.org/abs/2009.00339v1
• [math.PR]Statistical analysis of the non-ergodic fractional Ornstein-Uhlenbeck process with periodic mean
Rachid Belfadli, Khalifa Es-Sebaiy, Fatima-Ezzahra Farah
http://arxiv.org/abs/2009.00052v1
• [q-bio.QM]Unsupervised and Supervised Structure Learning for Protein Contact Prediction
Siqi Sun
http://arxiv.org/abs/2009.00133v1
• [q-fin.GN]Contingent Convertible Bonds in Financial Networks
Giovanni Calice, Carlo Sala, Daniele Tantari
http://arxiv.org/abs/2009.00062v1
• [quant-ph]Universal Approximation Property of Quantum Feature Map
Takahiro Goto, Quoc Hoan Tran, Kohei Nakajima
http://arxiv.org/abs/2009.00298v1
• [stat.AP]A Comparative Study of Parametric Regression Models to Detect Breakpoint in Traffic Fundamental Diagram
Emmanuel Kidando, Angela E. Kitali, Boniphace Kutela, Thobias Sando
http://arxiv.org/abs/2009.00536v1
• [stat.AP]Application of the Cox Regression Model for Analysis of Railway Safety Performance
Hendrik Schäbe, Jens Braband
http://arxiv.org/abs/2009.00558v1
• [stat.AP]Variable selection in social-environmental data: Sparse regression and tree ensemble machine learning approaches
Elizabeth Handorf, Yinuo Yin, Michael Slifker, Shannon Lynch
http://arxiv.org/abs/2009.00065v1
• [stat.CO]Adaptive Path Sampling in Metastable Posterior Distributions
Yuling Yao, Collin Cademartori, Aki Vehtari, Andrew Gelman
http://arxiv.org/abs/2009.00471v1
• [stat.CO]diproperm: An R Package for the DiProPerm Test
Andrew G. Allmon, J. S. Marron, Michael G. Hudgens
http://arxiv.org/abs/2009.00003v1
• [stat.ME]Accounting for correlated horizontal pleiotropy in two-sample Mendelian randomization using correlated instrumental variants
Qing Cheng, Baoluo Sun, Yingcun Xia, Jin Liu
http://arxiv.org/abs/2009.00399v1
• [stat.ME]Characterizing the Probability Law on Time Until Core Damage With PRA
Martin Wortman, Ernest Kee, Paul Nelson
http://arxiv.org/abs/2009.00208v1
• [stat.ME]Design and Analysis of Switchback Experiments
Iavor Bojinov, David Simchi-Levi, Jinglong Zhao
http://arxiv.org/abs/2009.00148v1
• [stat.ME]Informative Goodness-of-Fit for Multivariate Distributions
Sara Algeri
http://arxiv.org/abs/2009.00503v1
• [stat.ME]Invited Discussion of “A Unified Framework for De-Duplication and Population Size Estimation”
Jared S. Murray
http://arxiv.org/abs/2009.00217v1
• [stat.ML]Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport
Inon Peled, Kelvin Lee, Yu Jiang, Justin Dauwels, Francisco C. Pereira
http://arxiv.org/abs/2008.13443v2
• [stat.ML]InClass Nets: Independent Classifier Networks for Nonparametric Estimation of Conditional Independence Mixture Models and Unsupervised Classification
Konstantin T. Matchev, Prasanth Shyamsundar
http://arxiv.org/abs/2009.00131v1
• [stat.ML]Random Forest (RF) Kernel for Regression, Classification and Survival
Dai Feng, Richard Baumgartner
http://arxiv.org/abs/2009.00089v1
• [stat.ML]Semi-Supervised Empirical Risk Minimization: When can unlabeled data improve prediction
Oren Yuval, Saharon Rosset
http://arxiv.org/abs/2009.00606v1
• [stat.ML]Stochastic Graph Recurrent Neural Network
Tijin Yan, Hongwei Zhang, Zirui Li, Yuanqing Xia
http://arxiv.org/abs/2009.00538v1
• [stat.ML]Uncertainty quantification for Markov Random Fields
Panagiota Birmpa, Markos A. Katsoulakis
http://arxiv.org/abs/2009.00038v1
• [stat.ML]Variational Mixture of Normalizing Flows
Guilherme G. P. Freitas Pires, Mário A. T. Figueiredo
http://arxiv.org/abs/2009.00585v1