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.DC - 分布式、并行与集群计算 cs.DS - 数据结构与算法 cs.FL - 形式语言与自动机理论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 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.SY - 系统和控制 math.NA - 数值分析 math.OC - 优化与控制 math.ST - 统计理论 physics.comp-ph - 计算物理学 q-bio.MN - 分子网络 q-bio.QM - 定量方法 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论
• [cs.AI]A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification
• [cs.AI]A framework for a modular multi-concept lexicographic closure semantics
• [cs.AI]AI solutions for drafting in Magic: the Gathering
• [cs.AI]An enhanced simulation-based iterated local search metaheuristic for gravity fed water distribution network design optimization
• [cs.AR]Architectural Implications of Graph Neural Networks
• [cs.AR]TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference
• [cs.CL]A Practical Chinese Dependency Parser Based on A Large-scale Dataset
• [cs.CL]ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
• [cs.CL]An exploratory study of L1-specific non-words
• [cs.CL]Automated Storytelling via Causal, Commonsense Plot Ordering
• [cs.CL]Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation
• [cs.CL]Defeating Author Gender Identification with Text Style Transfer
• [cs.CL]Document Similarity from Vector Space Densities
• [cs.CL]Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media
• [cs.CL]Generalisation of Cyberbullying Detection
• [cs.CL]MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
• [cs.CL]Revisiting the Open-Domain Question Answering Pipeline
• [cs.CL]Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
• [cs.CL]Temporal Mental Health Dynamics on Social Media
• [cs.CL]Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
• [cs.CL]Too good to be true? Predicting author profiles for abusive language
• [cs.CR]A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
• [cs.CV]3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network
• [cs.CV]A perception centred self-driving system without HD Maps
• [cs.CV]ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation
• [cs.CV]ALEX: Active Learning based Enhancement of a Model’s Explainability
• [cs.CV]Adversarially Robust Neural Architectures
• [cs.CV]Aggregating Long-Term Context for Learning Surgical Workflows
• [cs.CV]Bidirectional Attention Network for Monocular Depth Estimation
• [cs.CV]CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
• [cs.CV]Comprehensive Semantic Segmentation on High Resolution Aerial Imagery for Natural Disaster Assessment
• [cs.CV]Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
• [cs.CV]Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks
• [cs.CV]Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
• [cs.CV]Deep Learning to Detect Bacterial Colonies for the Production of Vaccines
• [cs.CV]Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images
• [cs.CV]Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders
• [cs.CV]Face Image Quality Assessment: A Literature Survey
• [cs.CV]Fed-Sim: Federated Simulation for Medical Imaging
• [cs.CV]GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation
• [cs.CV]Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances
• [cs.CV]IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
• [cs.CV]Intrinsic Relationship Reasoning for Small Object Detection
• [cs.CV]Iris Liveness Detection Competition (LivDet-Iris) — The 2020 Edition
• [cs.CV]LSMVOS: Long-Short-Term Similarity Matching for Video Object
• [cs.CV]Lifelong Object Detection
• [cs.CV]Local-HDP: Interactive Open-Ended 3D Object Categorization
• [cs.CV]Long-Term Anticipation of Activities with Cycle Consistency
• [cs.CV]Lunar Crater Identification in Digital Images
• [cs.CV]MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks
• [cs.CV]Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training
• [cs.CV]NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits
• [cs.CV]Neural Crossbreed: Neural Based Image Metamorphosis
• [cs.CV]On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
• [cs.CV]Open-set Adversarial Defense
• [cs.CV]PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
• [cs.CV]Perceiving Humans: from Monocular 3D Localization to Social Distancing
• [cs.CV]Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation
• [cs.CV]Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
• [cs.CV]Real-time 3D Facial Tracking via Cascaded Compositional Learning
• [cs.CV]Retaining Image Feature Matching Performance Under Low Light Conditions
• [cs.CV]SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization
• [cs.CV]Seeing wake words: Audio-visual Keyword Spotting
• [cs.CV]Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
• [cs.CV]Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
• [cs.CV]Structure-Aware Generation Network for Recipe Generation from Images
• [cs.CV]Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
• [cs.CV]Transform Quantization for CNN Compression
• [cs.CV]Unsupervised Domain Adaptation For Plant Organ Counting
• [cs.CV]Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification
• [cs.CV]Unsupervised Single-Image Reflection Separation Using Perceptual Deep Image Priors
• [cs.CV]Video Captioning Using Weak Annotation
• [cs.CV]View-invariant action recognition
• [cs.CV]Zero-Shot Human-Object Interaction Recognition via Affordance Graphs
• [cs.CV]e-TLD: Event-based Framework for Dynamic Object Tracking
• [cs.CY]Embedded Development Boards for Edge-AI: A Comprehensive Report
• [cs.CY]Excavating “Excavating AI”: The Elephant in the Gallery
• [cs.CY]Measuring the Credibility of Student Attendance Data in Higher Education for Data Mining
• [cs.CY]covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Corona Virus Disease Pandemic
• [cs.DC]Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
• [cs.DC]Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
• [cs.DC]Survey of Machine Learning Accelerators
• [cs.DS]Differentially private $k$-means clustering via exponential mechanism and max cover
• [cs.FL]Tree Automata for Extracting Consensus from Partial Replicas of a Structured Document
• [cs.HC]MultiSegVA: Using Visual Analytics to Segment Biologging Time Series on Multiple Scales
• [cs.HC]Subtask Analysis of Process Data Through a Predictive Model
• [cs.IR]A Differntiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems
• [cs.IR]CODO: An Ontology for Collection and Analysis of Covid-19 Data
• [cs.IR]Identifying Documents In-Scope of a Collection from Web Archives
• [cs.IT]Embedded Blockchains: A Synthesis of Blockchains, Spread Spectrum Watermarking, Perceptual Hashing & Digital Signatures
• [cs.IT]Interplay of Probabilistic Shaping and Carrier Phase Recovery for Nonlinearity Mitigation
• [cs.IT]On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO
• [cs.IT]Receiver Design for OTFS with Fractionally Spaced Sampling Approach
• [cs.IT]Single-RF MIMO: From Spatial Modulation to Metasurface-Based Modulation
• [cs.LG]Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
• [cs.LG]Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series
• [cs.LG]Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
• [cs.LG]Conditional Constrained Graph Variational Autoencoders for Molecule Design
• [cs.LG]DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
• [cs.LG]Decentralized Source Localization Using Wireless Sensor Networks from Noisy Data
• [cs.LG]Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance
• [cs.LG]Generalized vec trick for fast learning of pairwise kernel models
• [cs.LG]Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
• [cs.LG]LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting
• [cs.LG]Lifelong Graph Learning
• [cs.LG]Mutual Teaching for Graph Convolutional Networks
• [cs.LG]Online system identification in a Duffing oscillator by free energy minimisation
• [cs.LG]Overcoming Negative Transfer: A Survey
• [cs.LG]Properties of f-divergences and f-GAN training
• [cs.LG]Robust, Accurate Stochastic Optimization for Variational Inference
• [cs.LG]Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction
• [cs.LG]Self-supervised Smoothing Graph Neural Networks
• [cs.LG]Topology and Neural Networks
• [cs.LG]Travel time prediction for congested freeways with a dynamic linear model
• [cs.LG]Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
• [cs.NE]Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation
• [cs.RO]3D Collision-Force-Map for Safe Human-Robot Collaboration
• [cs.RO]A Novel Design of Soft Robotic Hand with a Human-inspired Soft Palm for Dexterous Grasping
• [cs.RO]An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction
• [cs.RO]Control Framework for a Hybrid-steel Bridge Inspection Robot
• [cs.RO]Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning
• [cs.RO]Turning machines
• [cs.SE]Understanding Peer Review of Software Engineering Papers
• [cs.SI]Exact Recovery of Community Detection in k-Community Gaussian Mixture Model
• [cs.SI]Heterogeneous Graph Neural Network for Recommendation
• [cs.SI]Information Source Finding in Networks: Querying with Budgets
• [cs.SI]Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections
• [cs.SI]Scaling Attributed Network Embedding to Massive Graphs
• [cs.SI]Structural balance of alliance and rivalry networks in international relations
• [eess.AS]Multimodal Inductive Transfer Learning for Detection of Alzheimer’s Dementia and its Severity
• [eess.AS]Neural Architecture Search For Keyword Spotting
• [eess.AS]Speaker Representation Learning using Global Context Guided Channel and Time-Frequency Transformations
• [eess.AS]WaveGrad: Estimating Gradients for Waveform Generation
• [eess.IV]Breast mass detection in digital mammography based on anchor-free architecture
• [eess.IV]Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation
• [eess.IV]DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
• [eess.IV]Efficient, high-performance pancreatic segmentation using multi-scale feature extraction
• [eess.IV]Operational vs Convolutional Neural Networks for Image Denoising
• [eess.IV]Semantic Segmentation of Neuronal Bodies in Fluorescence Microscopy Using a 2D+3D CNN Training Strategy with Sparsely Annotated Data
• [eess.SY]A reinforcement learning approach to hybrid control design
• [eess.SY]Efficient Multi-Robot Exploration with Energy Constraint based on Optimal Transport Theory
• [eess.SY]Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
• [math.NA]The connections between Lyapunov functions for some optimization algorithms and differential equations
• [math.OC]Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search
• [math.OC]Extensions to the Proximal Distance of Method of Constrained Optimization
• [math.ST]Finite sample breakdown point of multivariate regression depth median
• [math.ST]Simultaneous inference for Berkson errors-in-variables regression under fixed design
• [math.ST]Universal Inference with Composite Likelihoods
• [physics.comp-ph]On Open and Strong-Scaling Tools for Atom Probe Crystallography: High-Throughput Methods for Indexing Crystal Structure and Orientation
• [q-bio.MN]Information Rates of Controlled Protein Interactions Using Terahertz Communication
• [q-bio.MN]VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA
• [q-bio.QM]Models of benthic bipedalism
• [stat.AP]A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations
• [stat.AP]Analysis of survival data with non-proportional hazards: A comparison of propensity score weighted methods
• [stat.AP]Self-driving car safety quantification via component-level analysis
• [stat.AP]The battle of total-order sensitivity estimators
• [stat.CO]A simple algorithm for global sensitivity analysis with Shapley effects
• [stat.ME]An Approximation Scheme for Multivariate Information based on Partial Information Decomposition
• [stat.ME]An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture based clustering
• [stat.ME]Estimating the reciprocal of a binomial proportion
• [stat.ME]Evaluating Catchment Models as Multiple Working Hypotheses: on the Role of Error Metrics, Parameter Sampling, Model Structure, and Data Information Content
• [stat.ME]Informative Goodness-of-Fit for Multivariate Distributions
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• [cs.AI]A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification
Vikas Singh, Homanga Bharadhwaj, Nishchal K Verma
http://arxiv.org/abs/2009.00822v1
• [cs.AI]A framework for a modular multi-concept lexicographic closure semantics
Laura Giordano, Daniele Theseider Dupré
http://arxiv.org/abs/2009.00964v1
• [cs.AI]AI solutions for drafting in Magic: the Gathering
Henry N. Ward, Daniel J. Brooks, Dan Troha, Bobby Mills, Arseny S. Khakhalin
http://arxiv.org/abs/2009.00655v1
• [cs.AI]An enhanced simulation-based iterated local search metaheuristic for gravity fed water distribution network design optimization
Willian C. S. Martinho, Rafael A. Melo, Kenneth Sörensen
http://arxiv.org/abs/2009.01197v1
• [cs.AR]Architectural Implications of Graph Neural Networks
Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
http://arxiv.org/abs/2009.00804v1
• [cs.AR]TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training and Inference
Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos
http://arxiv.org/abs/2009.00748v1
• [cs.CL]A Practical Chinese Dependency Parser Based on A Large-scale Dataset
Shuai Zhang, Lijie Wang, Ke Sun, Xinyan Xiao
http://arxiv.org/abs/2009.00901v1
• [cs.CL]ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
Jiuniu Wang, Wenjia Xu, Xingyu Fu, Guangluan Xu, Yirong Wu
http://arxiv.org/abs/2009.01041v1
• [cs.CL]An exploratory study of L1-specific non-words
David Alfter
http://arxiv.org/abs/2009.01134v1
• [cs.CL]Automated Storytelling via Causal, Commonsense Plot Ordering
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl
http://arxiv.org/abs/2009.00829v1
• [cs.CL]Automatic Assignment of Radiology Examination Protocols Using Pre-trained Language Models with Knowledge Distillation
Wilson Lau, Laura Aaltonen, Martin Gunn, Meliha Yetisgen
http://arxiv.org/abs/2009.00694v1
• [cs.CL]Defeating Author Gender Identification with Text Style Transfer
Reza Khan Mohammadi, Seyed Abolghasem Mirroshandel
http://arxiv.org/abs/2009.01040v1
• [cs.CL]Document Similarity from Vector Space Densities
Ilia Rushkin
http://arxiv.org/abs/2009.00672v1
• [cs.CL]Garain at SemEval-2020 Task 12: Sequence based Deep Learning for Categorizing Offensive Language in Social Media
Avishek Garain
http://arxiv.org/abs/2009.01195v1
• [cs.CL]Generalisation of Cyberbullying Detection
Khoury Richard, Larochelle Marc-André
http://arxiv.org/abs/2009.01046v1
• [cs.CL]MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
Thai Le, Suhang Wang, Dongwon Lee
http://arxiv.org/abs/2009.01048v1
• [cs.CL]Revisiting the Open-Domain Question Answering Pipeline
Sina J. Semnani, Manish Pandey
http://arxiv.org/abs/2009.00914v1
• [cs.CL]Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
Bibek Upadhayay, Vahid Behzadan
http://arxiv.org/abs/2009.01047v1
• [cs.CL]Temporal Mental Health Dynamics on Social Media
Tom Tabak, Matthew Purver
http://arxiv.org/abs/2008.13121v3
• [cs.CL]Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
Tushar Khot, Daniel Khashabi, Kyle Richardson, Peter Clark, Ashish Sabharwal
http://arxiv.org/abs/2009.00751v1
• [cs.CL]Too good to be true? Predicting author profiles for abusive language
Isabelle van der Vegt, Bennett Kleinberg, Paul Gill
http://arxiv.org/abs/2009.01126v1
• [cs.CR]A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions
Natarajan Deepa, Quoc-Viet Pham, Dinh C. Nguyen, Sweta Bhattacharya, Prabadevi B, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Fang Fang, Pubudu N. Pathirana
http://arxiv.org/abs/2009.00858v1
• [cs.CV]3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network
Xiaoxu Cai, Hui Yu, Jianwen Lou, Xuguang Zhang, Gongfa Li, Junyu Dong
http://arxiv.org/abs/2009.00938v1
• [cs.CV]A perception centred self-driving system without HD Maps
Alan Sun
http://arxiv.org/abs/2009.00782v1
• [cs.CV]ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation
Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury
http://arxiv.org/abs/2009.01005v1
• [cs.CV]ALEX: Active Learning based Enhancement of a Model’s Explainability
Ishani Mondal, Debasis Ganguly
http://arxiv.org/abs/2009.00859v1
• [cs.CV]Adversarially Robust Neural Architectures
Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu
http://arxiv.org/abs/2009.00902v1
• [cs.CV]Aggregating Long-Term Context for Learning Surgical Workflows
Yutong Ban, Guy Rosman, Thomas Ward, Daniel Hashimoto, Taisei Kondo, Ozanan Meireles, Daniela Rus
http://arxiv.org/abs/2009.00681v1
• [cs.CV]Bidirectional Attention Network for Monocular Depth Estimation
Shubhra Aich, Jean Marie Uwabeza Vianney, Md Amirul Islam, Mannat Kaur, Bingbing Liu
http://arxiv.org/abs/2009.00743v1
• [cs.CV]CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection
Su Pang, Daniel Morris, Hayder Radha
http://arxiv.org/abs/2009.00784v1
• [cs.CV]Comprehensive Semantic Segmentation on High Resolution Aerial Imagery for Natural Disaster Assessment
Maryam Rahnemoonfar, Tashnim Chowdhury, Robin Murphy, Odair Fernandes
http://arxiv.org/abs/2009.01193v1
• [cs.CV]Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams
Matthias De Lange, Tinne Tuytelaars
http://arxiv.org/abs/2009.00919v1
• [cs.CV]Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks
Ruiki Kobayashi, Shogo Muramatsu
http://arxiv.org/abs/2009.00831v1
• [cs.CV]Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
Haiwei Wu, Jiantao Zhou, Yuanman Li
http://arxiv.org/abs/2009.01031v1
• [cs.CV]Deep Learning to Detect Bacterial Colonies for the Production of Vaccines
Thomas Beznik, Paul Smyth, Gaël de Lannoy, John A. Lee
http://arxiv.org/abs/2009.00926v1
• [cs.CV]Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images
Sagar Kora Venu
http://arxiv.org/abs/2009.01181v1
• [cs.CV]Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders
James-Andrew Sarmiento
http://arxiv.org/abs/2009.01053v1
• [cs.CV]Face Image Quality Assessment: A Literature Survey
Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, Christoph Busch
http://arxiv.org/abs/2009.01103v1
• [cs.CV]Fed-Sim: Federated Simulation for Medical Imaging
Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F Frangi, Sanja Fidler
http://arxiv.org/abs/2009.00668v1
• [cs.CV]GAIT: Gradient Adjusted Unsupervised Image-to-Image Translation
Ibrahim Batuhan Akkaya, Ugur Halici
http://arxiv.org/abs/2009.00878v1
• [cs.CV]Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances
Anna Hilsmann, Philipp Fechteler, Wieland Morgenstern, Wolfgang Paier, Ingo Feldmann, Oliver Schreer, Peter Eisert
http://arxiv.org/abs/2009.00922v1
• [cs.CV]IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen
http://arxiv.org/abs/2009.01035v1
• [cs.CV]Intrinsic Relationship Reasoning for Small Object Detection
Kui Fu, Jia Li, Lin Ma, Kai Mu, Yonghong Tian
http://arxiv.org/abs/2009.00833v1
• [cs.CV]Iris Liveness Detection Competition (LivDet-Iris) — The 2020 Edition
Priyanka Das, Joseph McGrath, Zhaoyuan Fang, Aidan Boyd, Ganghee Jang, Amir Mohammadi, Sandip Purnapatra, David Yambay, Sébastien Marcel, Mateusz Trokielewicz, Piotr Maciejewicz, Kevin Bowyer, Adam Czajka, Stephanie Schuckers, Juan Tapia, Sebastian Gonzalez, Meiling Fang, Naser Damer, Fadi Boutros, Arjan Kuijper, Renu Sharma, Cunjian Chen, Arun Ross
http://arxiv.org/abs/2009.00749v1
• [cs.CV]LSMVOS: Long-Short-Term Similarity Matching for Video Object
Zhang Xuerui, Yuan Xia
http://arxiv.org/abs/2009.00771v1
• [cs.CV]Lifelong Object Detection
Wang Zhou, Shiyu Chang, Norma Sosa, Hendrik Hamann, David Cox
http://arxiv.org/abs/2009.01129v1
• [cs.CV]Local-HDP: Interactive Open-Ended 3D Object Categorization
H. Ayoobi, H. Kasaei, M. Cao, R. Verbrugge, B. Verheij
http://arxiv.org/abs/2009.01152v1
• [cs.CV]Long-Term Anticipation of Activities with Cycle Consistency
Yazan Abu Farha, Qiuhong Ke, Bernt Schiele, Juergen Gall
http://arxiv.org/abs/2009.01142v1
• [cs.CV]Lunar Crater Identification in Digital Images
John A. Christian, Harm Derksen, Ryan Watkins
http://arxiv.org/abs/2009.01228v1
• [cs.CV]MetaSimulator: Simulating Unknown Target Models for Query-Efficient Black-box Attacks
Chen Ma, Li Chen, Junhai Yong
http://arxiv.org/abs/2009.00960v1
• [cs.CV]Monocular 3D Detection with Geometric Constraints Embedding and Semi-supervised Training
Peixuan Li
http://arxiv.org/abs/2009.00764v1
• [cs.CV]NPRportrait 1.0: A Three-Level Benchmark for Non-Photorealistic Rendering of Portraits
Paul L. Rosin, Yu-Kun Lai, David Mould, Ran Yi, Itamar Berger, Lars Doyle, Seungyong Lee, Chuan Li, Yong-Jin Liu, Amir Semmo, Ariel Shamir, Minjung Son, Holger Winnemoller
http://arxiv.org/abs/2009.00633v1
• [cs.CV]Neural Crossbreed: Neural Based Image Metamorphosis
Sanghun Park, Kwanggyoon Seo, Junyong Noh
http://arxiv.org/abs/2009.00905v1
• [cs.CV]On the Structures of Representation for the Robustness of Semantic Segmentation to Input Corruption
Charles Lehman, Dogancan Temel, Ghassan AlRegib
http://arxiv.org/abs/2009.00817v1
• [cs.CV]Open-set Adversarial Defense
Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel
http://arxiv.org/abs/2009.00814v1
• [cs.CV]PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
Shaotian Yan, Chen Shen, Zhongming Jin, Jianqiang Huang, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua
http://arxiv.org/abs/2009.00893v1
• [cs.CV]Perceiving Humans: from Monocular 3D Localization to Social Distancing
Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi
http://arxiv.org/abs/2009.00984v1
• [cs.CV]Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation
Danilo Vasconcellos Vargas, Bingli Liao, Takahiro Kanzaki
http://arxiv.org/abs/2009.01110v1
• [cs.CV]Privacy Leakage of SIFT Features via Deep Generative Model based Image Reconstruction
Haiwei Wu, Jiantao Zhou
http://arxiv.org/abs/2009.01030v1
• [cs.CV]Real-time 3D Facial Tracking via Cascaded Compositional Learning
Jianwen Lou, Xiaoxu Cai, Junyu Dong, Hui Yu
http://arxiv.org/abs/2009.00935v1
• [cs.CV]Retaining Image Feature Matching Performance Under Low Light Conditions
Pranjay Shyam, Antyanta Bangunharcana, Kyung-Soo Kim
http://arxiv.org/abs/2009.00842v1
• [cs.CV]SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization
Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia
http://arxiv.org/abs/2009.00726v1
• [cs.CV]Seeing wake words: Audio-visual Keyword Spotting
Liliane Momeni, Triantafyllos Afouras, Themos Stafylakis, Samuel Albanie, Andrew Zisserman
http://arxiv.org/abs/2009.01225v1
• [cs.CV]Semantically Adaptive Image-to-image Translation for Domain Adaptation of Semantic Segmentation
Luigi Musto, Andrea Zinelli
http://arxiv.org/abs/2009.01166v1
• [cs.CV]Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
Yang Liu, Guanbin Li, Liang Lin
http://arxiv.org/abs/2009.00210v2
• [cs.CV]Structure-Aware Generation Network for Recipe Generation from Images
Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao
http://arxiv.org/abs/2009.00944v1
• [cs.CV]Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
Brian Davis, Chris Tensmeyer, Brian Price, Curtis Wigington, Bryan Morse, Rajiv Jain
http://arxiv.org/abs/2009.00678v1
• [cs.CV]Transform Quantization for CNN Compression
Sean I. Young, Wang Zhe, David Taubman, Bernd Girod
http://arxiv.org/abs/2009.01174v1
• [cs.CV]Unsupervised Domain Adaptation For Plant Organ Counting
Tewodros Ayalew, Jordan Ubbens, Ian Stavness
http://arxiv.org/abs/2009.01081v1
• [cs.CV]Unsupervised Feature Learning by Autoencoder and Prototypical Contrastive Learning for Hyperspectral Classification
Zeyu Cao, Xiaorun Li, Liaoying Zhao
http://arxiv.org/abs/2009.00953v1
• [cs.CV]Unsupervised Single-Image Reflection Separation Using Perceptual Deep Image Priors
Suhong Kim, Hamed RahmaniKhezri, Seyed Mohammad Nourbakhsh, Mohamed Hefeeda
http://arxiv.org/abs/2009.00702v1
• [cs.CV]Video Captioning Using Weak Annotation
Jingyi Hou, Yunde Jia, Xinxiao wu, Yayun Qi
http://arxiv.org/abs/2009.01067v1
• [cs.CV]View-invariant action recognition
Yogesh S Rawat, Shruti Vyas
http://arxiv.org/abs/2009.00638v1
• [cs.CV]Zero-Shot Human-Object Interaction Recognition via Affordance Graphs
Alessio Sarullo, Tingting Mu
http://arxiv.org/abs/2009.01039v1
• [cs.CV]e-TLD: Event-based Framework for Dynamic Object Tracking
Bharath Ramesh, Shihao Zhang, Hong Yang, Andres Ussa, Matthew Ong, Garrick Orchard, Cheng Xiang
http://arxiv.org/abs/2009.00855v1
• [cs.CY]Embedded Development Boards for Edge-AI: A Comprehensive Report
Hamza Ali Imran, Usama Mujahid, Saad Wazir, Usama Latif, Kiran Mehmood
http://arxiv.org/abs/2009.00803v1
• [cs.CY]Excavating “Excavating AI”: The Elephant in the Gallery
Michael J. Lyons
http://arxiv.org/abs/2009.01215v1
• [cs.CY]Measuring the Credibility of Student Attendance Data in Higher Education for Data Mining
Mohammed Alsuwaiket, Christian Dawson, Firat Batmaz
http://arxiv.org/abs/2009.00679v1
• [cs.CY]covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Corona Virus Disease Pandemic
Marcelo Ponce, Amit Sandhel
http://arxiv.org/abs/2009.01091v1
• [cs.DC]Benchmarking 50-Photon Gaussian Boson Sampling on the Sunway TaihuLight
Yuxuan Li, Mingcheng Chen, Yaojian Chen, Haitian Lu, Lin Gan, Chaoyang Lu, Jianwei Pan, Haohuan Fu, Guangwen Yang
http://arxiv.org/abs/2009.01177v1
• [cs.DC]Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
Jing Chen, Pirah Noor Soomro, Mustafa Abduljabbar, Madhavan Manivannan, Miquel Pericas
http://arxiv.org/abs/2009.00915v1
• [cs.DC]Survey of Machine Learning Accelerators
Albert Reuther, Peter Michaleas, Michael Jones, Vijay Gadepally, Siddharth Samsi, Jeremy Kepner
http://arxiv.org/abs/2009.00993v1
• [cs.DS]Differentially private $k$-means clustering via exponential mechanism and max cover
Anamay Chaturvedi, Huy Nguyen, Eric Xu
http://arxiv.org/abs/2009.01220v1
• [cs.FL]Tree Automata for Extracting Consensus from Partial Replicas of a Structured Document
Maurice Tchoupé Tchendji, Milliam Maxime Zekeng Ndadji
http://arxiv.org/abs/2009.00867v1
• [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/2009.00548v2
• [cs.HC]Subtask Analysis of Process Data Through a Predictive Model
Zhi Wang, Xueying Tang, Jingchen Liu, Zhiliang Ying
http://arxiv.org/abs/2009.00717v1
• [cs.IR]A Differntiable Ranking Metric Using Relaxed Sorting Opeartion for Top-K Recommender Systems
Hyunsung Lee, Yeongjae Jang, Jaekwang Kim, Honguk Woo
http://arxiv.org/abs/2008.13141v2
• [cs.IR]CODO: An Ontology for Collection and Analysis of Covid-19 Data
B. Dutta, M. DeBellis
http://arxiv.org/abs/2009.01210v1
• [cs.IR]Identifying Documents In-Scope of a Collection from Web Archives
Krutarth Patel, Cornelia Caragea, Mark Phillips, Nathaniel Fox
http://arxiv.org/abs/2009.00611v1
• [cs.IT]Embedded Blockchains: A Synthesis of Blockchains, Spread Spectrum Watermarking, Perceptual Hashing & Digital Signatures
Sam Blake
http://arxiv.org/abs/2009.00951v1
• [cs.IT]Interplay of Probabilistic Shaping and Carrier Phase Recovery for Nonlinearity Mitigation
Stella Civelli, Enrico Forestieri, Marco Secondini
http://arxiv.org/abs/2009.01135v1
• [cs.IT]On Throughput Improvement using Immediate Re-transmission in Grant-Free Random Access with Massive MIMO
Jinho Choi
http://arxiv.org/abs/2009.00724v1
• [cs.IT]Receiver Design for OTFS with Fractionally Spaced Sampling Approach
Yao Ge, Qinwen Deng, P. C. Ching, Zhi Ding
http://arxiv.org/abs/2009.00806v1
• [cs.IT]Single-RF MIMO: From Spatial Modulation to Metasurface-Based Modulation
Qiang Li, Miaowen Wen, Marco Di Renzo
http://arxiv.org/abs/2009.00789v1
• [cs.LG]Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
Cezara Benegui, Radu Tudor Ionescu
http://arxiv.org/abs/2009.01109v1
• [cs.LG]Application of LSTM architectures for next frame forecasting in Sentinel-1 images time series
Waytehad Moskolaï, Wahabou Abdou, Albert Dipanda, Dina Taiwe Kolyang
http://arxiv.org/abs/2009.00841v1
• [cs.LG]Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
http://arxiv.org/abs/2009.00675v1
• [cs.LG]Conditional Constrained Graph Variational Autoencoders for Molecule Design
Davide Rigoni, Nicolò Navarin, Alessandro Sperduti
http://arxiv.org/abs/2009.00725v1
• [cs.LG]DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
http://arxiv.org/abs/2009.01027v1
• [cs.LG]Decentralized Source Localization Using Wireless Sensor Networks from Noisy Data
Akram Hussain
http://arxiv.org/abs/2009.01062v1
• [cs.LG]Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance
Andrew J. Lohn
http://arxiv.org/abs/2009.00802v1
• [cs.LG]Generalized vec trick for fast learning of pairwise kernel models
Markus Viljanen, Antti Airola, Tapio Pahikkala
http://arxiv.org/abs/2009.01054v1
• [cs.LG]Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee
Junyi Li, Bin Gu, Heng Huang
http://arxiv.org/abs/2009.00690v1
• [cs.LG]LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting
Christos Koutlis, Symeon Papadopoulos, Manos Schinas, Ioannis Kompatsiaris
http://arxiv.org/abs/2009.00945v1
• [cs.LG]Lifelong Graph Learning
Chen Wang, Yuheng Qiu, Sebastian Scherer
http://arxiv.org/abs/2009.00647v1
• [cs.LG]Mutual Teaching for Graph Convolutional Networks
Kun Zhan, Chaoxi Niu
http://arxiv.org/abs/2009.00952v1
• [cs.LG]Online system identification in a Duffing oscillator by free energy minimisation
Wouter M Kouw
http://arxiv.org/abs/2009.00845v1
• [cs.LG]Overcoming Negative Transfer: A Survey
Wen Zhang, Lingfei Deng, Dongrui Wu
http://arxiv.org/abs/2009.00909v1
• [cs.LG]Properties of f-divergences and f-GAN training
Matt Shannon
http://arxiv.org/abs/2009.00757v1
• [cs.LG]Robust, Accurate Stochastic Optimization for Variational Inference
Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari
http://arxiv.org/abs/2009.00666v1
• [cs.LG]Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction
Ziyi Yang, Jun Shu, Yong Liang, Deyu Meng, Zongben Xu
http://arxiv.org/abs/2009.00792v1
• [cs.LG]Self-supervised Smoothing Graph Neural Networks
Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
http://arxiv.org/abs/2009.00934v1
• [cs.LG]Topology and Neural Networks
Mustafa Hajij, Kyle Istvan
http://arxiv.org/abs/2008.13697v2
• [cs.LG]Travel time prediction for congested freeways with a dynamic linear model
Semin Kwak, Nikolas Geroliminis
http://arxiv.org/abs/2009.01016v1
• [cs.LG]Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics
Yanchao Sun, Furong Huang
http://arxiv.org/abs/2009.00774v1
• [cs.NE]Fast Immune System Inspired Hypermutation Operators for Combinatorial Optimisation
D. Corus, P. S. Oliveto, D. Yazdani
http://arxiv.org/abs/2009.00990v1
• [cs.RO]3D Collision-Force-Map for Safe Human-Robot Collaboration
Petr Svarny, Jakub Rozlivek, Lukas Rustler, Matej Hoffmann
http://arxiv.org/abs/2009.01036v1
• [cs.RO]A Novel Design of Soft Robotic Hand with a Human-inspired Soft Palm for Dexterous Grasping
Haihang Wang, Fares J. Abu-Dakka, Tran Nguyen Le, Ville Kyrki, He Xu
http://arxiv.org/abs/2009.00979v1
• [cs.RO]An Information-Theoretic Approach to Persistent Environment Monitoring Through Low Rank Model Based Planning and Prediction
Elizabeth A. Ricci, Madeleine Udell, Ross A. Knepper
http://arxiv.org/abs/2009.01168v1
• [cs.RO]Control Framework for a Hybrid-steel Bridge Inspection Robot
Hoang-Dung Bui, Son Nguyen, U-H. Billah, Chuong Le, Alireza Tavakkoli, Hung M. La
http://arxiv.org/abs/2009.00740v1
• [cs.RO]Nonholonomic Yaw Control of an Underactuated Flying Robot with Model-based Reinforcement Learning
Nathan Lambert, Craig Schindler, Daniel Drew, Kristofer Pister
http://arxiv.org/abs/2009.01221v1
• [cs.RO]Turning machines
Irina Kostitsyna, Cai Wood, Damien Woods
http://arxiv.org/abs/2009.00755v1
• [cs.SE]Understanding Peer Review of Software Engineering Papers
Neil A. Ernst, Jeffrey C. Carver, Daniel Mendez, Marco Torchiano
http://arxiv.org/abs/2009.01209v1
• [cs.SI]Exact Recovery of Community Detection in k-Community Gaussian Mixture Model
Zhongyang Li
http://arxiv.org/abs/2009.01185v1
• [cs.SI]Heterogeneous Graph Neural Network for Recommendation
Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou
http://arxiv.org/abs/2009.00799v1
• [cs.SI]Information Source Finding in Networks: Querying with Budgets
Jaeyoung Choi, Sangwoo Moon, Jiin Woo, Kyunghwan Son, Jinwoo Shin, Yung Yi
http://arxiv.org/abs/2009.00795v1
• [cs.SI]Maximizing the algebraic connectivity in multilayer networks with arbitrary interconnections
Ali Tavasoli, Ehsan Ardjmand, Heman Shakeri
http://arxiv.org/abs/2008.13036v2
• [cs.SI]Scaling Attributed Network Embedding to Massive Graphs
Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick
http://arxiv.org/abs/2009.00826v1
• [cs.SI]Structural balance of alliance and rivalry networks in international relations
Koji Oishi, Kentaro Sakuwa
http://arxiv.org/abs/2009.00369v2
• [eess.AS]Multimodal Inductive Transfer Learning for Detection of Alzheimer’s Dementia and its Severity
Utkarsh Sarawgi, Wazeer Zulfikar, Nouran Soliman, Pattie Maes
http://arxiv.org/abs/2009.00700v1
• [eess.AS]Neural Architecture Search For Keyword Spotting
Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui
http://arxiv.org/abs/2009.00165v2
• [eess.AS]Speaker Representation Learning using Global Context Guided Channel and Time-Frequency Transformations
Wei Xia, John H. L. Hansen
http://arxiv.org/abs/2009.00768v1
• [eess.AS]WaveGrad: Estimating Gradients for Waveform Generation
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
http://arxiv.org/abs/2009.00713v1
• [eess.IV]Breast mass detection in digital mammography based on anchor-free architecture
Haichao Cao
http://arxiv.org/abs/2009.00857v1
• [eess.IV]Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation
Sajjad Abbasi, Mohsen Hajabdollahi, Pejman Khadivi, Nader Karimi, Roshanak Roshandel, Shahram Shirani, Shadrokh Samavi
http://arxiv.org/abs/2009.00982v1
• [eess.IV]DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
Lufan Chang, Wenjing Zhuang, Richeng Wu, Sai Feng, Hao Liu, Jing Yu, Jia Ding, Ziteng Wang, Jiaqi Zhang
http://arxiv.org/abs/2009.00908v1
• [eess.IV]Efficient, high-performance pancreatic segmentation using multi-scale feature extraction
Moritz Knolle, Georgios Kaissis, Friederike Jungmann, Sebastian Ziegelmayer, Daniel Sasse, Marcus Makowski, Daniel Rueckert, Rickmer Braren
http://arxiv.org/abs/2009.00872v1
• [eess.IV]Operational vs Convolutional Neural Networks for Image Denoising
Junaid Malik, Serkan Kiranyaz, Moncef Gabbouj
http://arxiv.org/abs/2009.00612v1
• [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/2009.00029v2
• [eess.SY]A reinforcement learning approach to hybrid control design
Meet Gandhi, Atreyee Kundu, Shalabh Bhatnagar
http://arxiv.org/abs/2009.00821v1
• [eess.SY]Efficient Multi-Robot Exploration with Energy Constraint based on Optimal Transport Theory
Rabiul Hasan Kabir, Kooktae Lee
http://arxiv.org/abs/2009.00862v1
• [eess.SY]Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
Marcus Aloysius Pereira, Ziyi Wang, Ioannis Exarchos, Evangelos A. Theodorou
http://arxiv.org/abs/2009.01196v1
• [math.NA]The connections between Lyapunov functions for some optimization algorithms and differential equations
J. M. Sanz-Serna, Konstantinos C. Zygalakis
http://arxiv.org/abs/2009.00673v1
• [math.OC]Adaptive CVaR Optimization for Dynamical Systems with Path Space Stochastic Search
Ziyi Wang, Oswin So, Keuntaek Lee, Camilo A. Duarte, Evangelos A. Theodorou
http://arxiv.org/abs/2009.01090v1
• [math.OC]Extensions to the Proximal Distance of Method of Constrained Optimization
Alfonso Landeros, Oscar Hernan Madrid Padilla, Hua Zhou, Kenneth Lange
http://arxiv.org/abs/2009.00801v1
• [math.ST]Finite sample breakdown point of multivariate regression depth median
Yijun Zuo
http://arxiv.org/abs/2009.00646v1
• [math.ST]Simultaneous inference for Berkson errors-in-variables regression under fixed design
Katharina Proksch, Nicolai Bissantz, Hajo Holzmann
http://arxiv.org/abs/2009.00936v1
• [math.ST]Universal Inference with Composite Likelihoods
Hien Duy Nguyen
http://arxiv.org/abs/2009.00848v1
• [physics.comp-ph]On Open and Strong-Scaling Tools for Atom Probe Crystallography: High-Throughput Methods for Indexing Crystal Structure and Orientation
Markus Kühbach, Matthew Kasemer, Baptiste Gault, Andrew Breen
http://arxiv.org/abs/2009.00735v1
• [q-bio.MN]Information Rates of Controlled Protein Interactions Using Terahertz Communication
Hadeel Elayan, Andrew W. Eckford, Raviraj Adve
http://arxiv.org/abs/2009.01060v1
• [q-bio.MN]VeRNAl: A Tool for Mining Fuzzy Network Motifs in RNA
Carlos Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jerome Waldispuhl
http://arxiv.org/abs/2009.00664v1
• [q-bio.QM]Models of benthic bipedalism
F. Giardina, L. Mahadevan
http://arxiv.org/abs/2009.00776v1
• [stat.AP]A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations
Zhou Lan, Le Bao
http://arxiv.org/abs/2009.01099v1
• [stat.AP]Analysis of survival data with non-proportional hazards: A comparison of propensity score weighted methods
Elizabeth A. Handorf, Marc Smaldone, Sujana Movva, Nandita Mitra
http://arxiv.org/abs/2009.00785v1
• [stat.AP]Self-driving car safety quantification via component-level analysis
Juozas Vaicenavicius, Tilo Wiklund, Austė Grigaite, Ignas Vysniauskas, Steven Keen
http://arxiv.org/abs/2009.01119v1
• [stat.AP]The battle of total-order sensitivity estimators
Arnald Puy, William Becker, Samuele Lo Piano, Andrea Saltelli
http://arxiv.org/abs/2009.01147v1
• [stat.CO]A simple algorithm for global sensitivity analysis with Shapley effects
Takashi Goda
http://arxiv.org/abs/2009.00874v1
• [stat.ME]An Approximation Scheme for Multivariate Information based on Partial Information Decomposition
Masahiro Takimoto
http://arxiv.org/abs/2009.00791v1
• [stat.ME]An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture based clustering
Christian Hennig, Pietro Coretto
http://arxiv.org/abs/2009.00921v1
• [stat.ME]Estimating the reciprocal of a binomial proportion
Jiajin Wei, Ping He, Tiejun Tong
http://arxiv.org/abs/2009.00827v1
• [stat.ME]Evaluating Catchment Models as Multiple Working Hypotheses: on the Role of Error Metrics, Parameter Sampling, Model Structure, and Data Information Content
Sina Khatami, Timothy John Peterson, Murray C Peel, Andrew Western
http://arxiv.org/abs/2009.00729v1
• [stat.ME]Informative Goodness-of-Fit for Multivariate Distributions
Sara Algeri
http://arxiv.org/abs/2009.00503v2