cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能
cs.CE - 计算工程、 金融和科学
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.IT - 信息论
cs.LG - 自动学习
cs.LO - 计算逻辑
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.SD - 声音处理
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
eess.SY - 系统和控制
math.OC - 优化与控制
math.ST - 统计理论
physics.flu-dyn - 流体动力学
physics.med-ph - 医学物理学
q-bio.OT - 其他定量生物学
q-bio.QM - 定量方法
q-fin.RM - 风险管理
q-fin.ST - 统计金融学
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
• [cond-mat.mtrl-sci]Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data
• [cs.AI]Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
• [cs.AI]Philosophical Specification of Empathetic Ethical Artificial Intelligence
• [cs.AI]Reinforcement Learning Agent Training with Goals for Real World Tasks
• [cs.AI]Shedding some light on Light Up with Artificial Intelligence
• [cs.CE]CNN-based Realized Covariance Matrix Forecasting
• [cs.CL]Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification
• [cs.CL]CATE: CAusality Tree Extractor from Natural Language Requirements
• [cs.CL]COfEE: A Comprehensive Ontology for Event Extraction from text, with an online annotation tool
• [cs.CL]Confidence-Aware Scheduled Sampling for Neural Machine Translation
• [cs.CL]Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages
• [cs.CL]Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women
• [cs.CL]Evaluation of contextual embeddings on less-resourced languages
• [cs.CL]Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks
• [cs.CL]Machine learning for assessing quality of service in the hospitality sector based on customer reviews
• [cs.CL]Multi-Stream Transformers
• [cs.CL]Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
• [cs.CL]Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
• [cs.CL]To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
• [cs.CL]Using Adversarial Debiasing to Remove Bias from Word Embeddings
• [cs.CR]Differentially Private Algorithms for 2020 Census Detailed DHC Race & Ethnicity
• [cs.CR]Improving Blockchain Consistency by Assigning Weights to Random Blocks
• [cs.CR]Improving the Authentication with Built-in Camera ProtocolUsing Built-in Motion Sensors: A Deep Learning Solution
• [cs.CR]Spinning Sequence-to-Sequence Models with Meta-Backdoors
• [cs.CV]3D Shape Generation with Grid-based Implicit Functions
• [cs.CV]A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
• [cs.CV]Adaptive Dilated Convolution For Human Pose Estimation
• [cs.CV]AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation
• [cs.CV]CogSense: A Cognitively Inspired Framework for Perception Adaptation
• [cs.CV]Copy and Paste method based on Pose for ReID
• [cs.CV]Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
• [cs.CV]DOVE: Learning Deformable 3D Objects by Watching Videos
• [cs.CV]DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
• [cs.CV]Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire
• [cs.CV]DeepScale: An Online Frame Size Adaptation Framework to Accelerate Visual Multi-object Tracking
• [cs.CV]EAN: Event Adaptive Network for Enhanced Action Recognition
• [cs.CV]External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
• [cs.CV]Geometric Data Augmentation Based on Feature Map Ensemble
• [cs.CV]MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
• [cs.CV]PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding
• [cs.CV]Query2Label: A Simple Transformer Way to Multi-Label Classification
• [cs.CV]Reading Race: AI Recognises Patient’s Racial Identity In Medical Images
• [cs.CV]Rule-Based Classification of Hyperspectral Imaging Data
• [cs.CV]Semantic Text-to-Face GAN -ST^2FG
• [cs.CV]Structure Destruction and Content Combination for Face Anti-Spoofing
• [cs.CV]Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning
• [cs.CY]Challenges in cybersecurity: Lessons from biological defense systems
• [cs.CY]Codeathon Activity: A Design Prototype for Real World Problems
• [cs.CY]Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests
• [cs.DB]Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing
• [cs.DC]Flexible Distributed Matrix Multiplication
• [cs.DC]Formal method of synthesis of optimal topologies of computing systems based on projective description of graphs
• [cs.DL]Impacts Towards a comprehensive assessment of the book impact by integrating multiple evaluation sources
• [cs.DS]Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
• [cs.DS]Learning Sparse Fixed-Structure Gaussian Bayesian Networks
• [cs.IT]A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems
• [cs.IT]Binary irreducible quasi-cyclic parity-check subcodes of Goppa codes and extended Goppa codes
• [cs.IT]Cell-Free SUCRe Protocol: A User-Centric Adaptation
• [cs.IT]Cell-free Massive MIMO with Short Packets
• [cs.IT]Equidistant Linear Codes in Projective Spaces
• [cs.IT]Fourier-Reflexive Partitions Induced by Poset Metric
• [cs.IT]High dimensional expansion implies amplified local testability
• [cs.IT]High-performance low-complexity error pattern generation for ORBGRAND decoding
• [cs.IT]Joint Optimization of Preamble Selection and Access Barring for Random Access in MTC with General Device Activities
• [cs.IT]Low latency allcast over broadcast erasure channels
• [cs.IT]Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes
• [cs.IT]Optimal Joint Beamforming and Power Control in Cell-Free Massive MIMO Downlink
• [cs.LG]A Framework for Imbalanced Time-series Forecasting
• [cs.LG]A Proactive Management Scheme for Data Synopses at the Edge
• [cs.LG]Abstract Reasoning via Logic-guided Generation
• [cs.LG]Accelerating Quadratic Optimization with Reinforcement Learning
• [cs.LG]Active Learning in Incomplete Label Multiple Instance Multiple Label Learning
• [cs.LG]Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks
• [cs.LG]Bandit Quickest Changepoint Detection
• [cs.LG]Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims
• [cs.LG]Data Considerations in Graph Representation Learning for Supply Chain Networks
• [cs.LG]Efficient Neural Causal Discovery without Acyclicity Constraints
• [cs.LG]Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
• [cs.LG]Evaluating the Quality of Finite Element Meshes with Machine Learning
• [cs.LG]Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression
• [cs.LG]How to Tell Deep Neural Networks What We Know
• [cs.LG]Improve Learning from Crowds via Generative Augmentation
• [cs.LG]Improving COVID-19 Forecasting using eXogenous Variables
• [cs.LG]Inter and Intra-Annual Spatio-Temporal Variability of Habitat Suitability for Asian Elephants in India: A Random Forest Model-based Analysis
• [cs.LG]Learning to Transfer: A Foliated Theory
• [cs.LG]Memorization in Deep Neural Networks: Does the Loss Function matter?
• [cs.LG]Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification
• [cs.LG]Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications
• [cs.LG]Neural Variational Gradient Descent
• [cs.LG]Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms
• [cs.LG]Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
• [cs.LG]Selective Pseudo-label Clustering
• [cs.LG]Small-text: Active Learning for Text Classification in Python
• [cs.LG]Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
• [cs.LG]Tri-Branch Convolutional Neural Networks for Top- Focused Academic Performance Prediction
• [cs.LG]Typing assumptions improve identification in causal discovery
• [cs.LG]Unsupervised Detection of Adversarial Examples with Model Explanations
• [cs.LG]cGANs with Auxiliary Discriminative Classifier
• [cs.LO]A Logic of Expertise
• [cs.NE]A Multi-objective Evolutionary Algorithm for EEG Inverse Problem
• [cs.NI]On the Stability Regions of Coded Poisson Receivers with Multiple Classes of Users and Receivers
• [cs.RO]A novel teleoperator testbed to understand the effects of master-slave dynamics on embodiment and kinesthetic perception *
• [cs.RO]A novel testbed for investigating the impact of teleoperator dynamics on perceived environment dynamics
• [cs.RO]Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
• [cs.RO]Capacitated Vehicle Routing with Target Geometric Constraints
• [cs.RO]DeltaCharger: Charging Robot with Inverted Delta Mechanism and CNN-driven High Fidelity Tactile Perception for Precise 3D Positioning
• [cs.RO]Dialogue Object Search
• [cs.RO]MobileCharger: an Autonomus Mobile Robot with Inverted Delta Actuator for Robust and Safe Robot Charging
• [cs.RO]Rethinking Trajectory Forecasting Evaluation
• [cs.RO]Towards an Understanding of the Role Operator Limb Dynamics Plays in Haptic Perception of Stiffness
• [cs.RO]Uncertainty-Aware Task Allocation for Distributed Autonomous Robots
• [cs.SD]StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
• [cs.SI]An Access Control for IoT Based on Network Community Perception and Social Trust Against Sybil Attacks
• [cs.SI]Diversity-aware Web APIs Assignment and Recommendation for Mashup Creation with Compatibility Guarantee
• [cs.SI]Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection
• [cs.SI]Patterns of Patterns
• [cs.SI]Recovering lost and absent information in temporal networks
• [eess.AS]Digital Einstein Experience: Fast Text-to-Speech for Conversational AI
• [eess.AS]HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding
• [eess.AS]Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning
• [eess.AS]What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
• [eess.AS]What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
• [eess.IV]A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
• [eess.IV]Fristograms: Revealing and Exploiting Light Field Internals
• [eess.IV]Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
• [eess.IV]Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI
• [eess.IV]Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI
• [eess.SP]Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition
• [eess.SP]mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars
• [eess.SY]Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
• [math.OC]Distributed Saddle-Point Problems Under Similarity
• [math.ST]A network Poisson model for weighted directed networks with covariates
• [math.ST]Dimension-Free Anticoncentration Bounds for Gaussian Order Statistics with Discussion of Applications to Multiple Testing
• [math.ST]One-parameter generalised Fisher information
• [math.ST]Robust Nonparametric Regression with Deep Neural Networks
• [physics.flu-dyn]Physics-informed neural networks for solving Reynolds-averaged NavierStokes equations
• [physics.med-ph]Identification of Tissue Optical Properties During Thermal Laser-Tissue Interactions: Approach and Preliminary Evaluation
• [q-bio.OT]Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies
• [q-bio.QM]Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
• [q-fin.RM]A Sparsity Algorithm with Applications to Corporate Credit Rating
• [q-fin.ST]cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope
• [quant-ph]QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
• [stat.AP]Probabilistic Forecast Combination for Anomaly Detection in Building Heat Load Time Series
• [stat.AP]Reproducibility of COVID-19 pre-prints
• [stat.AP]The impact of increasing COVID-19 cases/deaths on the number of uncivil tweets directed at governments
• [stat.ME]Graphical Influence Diagnostics for Changepoint Models
• [stat.ME]Mind the Income Gap: Behavior of Inequality Estimators from Complex Survey Small Samples
• [stat.ME]Robust low-rank covariance matrix estimation with a general pattern of missing values
• [stat.ME]Scale-mixture Birnbaum-Saunders quantile regression models applied to personal accident insurance data
• [stat.ML]An overcome of far-distance limitation on tunnel CCTV-based accident detection in AI deep-learning frameworks
• [stat.ML]Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning
·····································
• [cond-mat.mtrl-sci]Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data
Christina Doty, Shaun Gallagher, Wenqi Cui, Wenya Chen, Shweta Bhushan, Marjolein Oostrom, Sarah Akers, Steven R. Spurgeon
http://arxiv.org/abs/2107.10387v1
• [cs.AI]Learning Altruistic Behaviours in Reinforcement Learning without External Rewards
Tim Franzmeyer, Mateusz Malinowski, João F. Henriques
http://arxiv.org/abs/2107.09598v2
• [cs.AI]Philosophical Specification of Empathetic Ethical Artificial Intelligence
Michael Timothy Bennett, Yoshihiro Maruyama
http://arxiv.org/abs/2107.10715v1
• [cs.AI]Reinforcement Learning Agent Training with Goals for Real World Tasks
Xuan Zhao, Marcos Campos
http://arxiv.org/abs/2107.10390v1
• [cs.AI]Shedding some light on Light Up with Artificial Intelligence
Libo Sun, James Browning, Roberto Perera
http://arxiv.org/abs/2107.10429v1
• [cs.CE]CNN-based Realized Covariance Matrix Forecasting
Yanwen Fang, Philip L. H. Yu, Yaohua Tang
http://arxiv.org/abs/2107.10602v1
• [cs.CL]Back-Translated Task Adaptive Pretraining: Improving Accuracy and Robustness on Text Classification
Junghoon Lee, Jounghee Kim, Pilsung Kang
http://arxiv.org/abs/2107.10474v1
• [cs.CL]CATE: CAusality Tree Extractor from Natural Language Requirements
Noah Jadallah, Jannik Fischbach, Julian Frattini, Andreas Vogelsang
http://arxiv.org/abs/2107.10023v2
• [cs.CL]COfEE: A Comprehensive Ontology for Event Extraction from text, with an online annotation tool
Ali Balali, Masoud Asadpour, Seyed Hossein Jafari
http://arxiv.org/abs/2107.10326v1
• [cs.CL]Confidence-Aware Scheduled Sampling for Neural Machine Translation
Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
http://arxiv.org/abs/2107.10427v1
• [cs.CL]Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages
Srijan Bansal, Vishal Garimella, Ayush Suhane, Animesh Mukherjee
http://arxiv.org/abs/2107.10181v2
• [cs.CL]Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women
Kai-Hui Liang, Patrick Lange, Yoo Jung Oh, Jingwen Zhang, Yoshimi Fukuoka, Zhou Yu
http://arxiv.org/abs/2107.10410v1
• [cs.CL]Evaluation of contextual embeddings on less-resourced languages
Matej Ulčar, Aleš Žagar, Carlos S. Armendariz, Andraž Repar, Senja Pollak, Matthew Purver, Marko Robnik-Šikonja
http://arxiv.org/abs/2107.10614v1
• [cs.CL]Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks
Jannik Fischbach, Tobias Springer, Julian Frattini, Henning Femmer, Andreas Vogelsang, Daniel Mendez
http://arxiv.org/abs/2107.09980v2
• [cs.CL]Machine learning for assessing quality of service in the hospitality sector based on customer reviews
Vladimir Vargas-Calderón, Andreina Moros Ochoa, Gilmer Yovani Castro Nieto, Jorge E. Camargo
http://arxiv.org/abs/2107.10328v1
• [cs.CL]Multi-Stream Transformers
Mikhail Burtsev, Anna Rumshisky
http://arxiv.org/abs/2107.10342v1
• [cs.CL]Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou
http://arxiv.org/abs/2107.10523v1
• [cs.CL]Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
http://arxiv.org/abs/2107.10413v1
• [cs.CL]To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
Tom Kocmi, Christian Federmann, Roman Grundkiewicz, Marcin Junczys-Dowmunt, Hitokazu Matsushita, Arul Menezes
http://arxiv.org/abs/2107.10821v1
• [cs.CL]Using Adversarial Debiasing to Remove Bias from Word Embeddings
Dana Kenna
http://arxiv.org/abs/2107.10251v2
• [cs.CR]Differentially Private Algorithms for 2020 Census Detailed DHC Race & Ethnicity
Sam Haney, William Sexton, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau
http://arxiv.org/abs/2107.10659v1
• [cs.CR]Improving Blockchain Consistency by Assigning Weights to Random Blocks
Qing Zhang, Xueping Gong, Huizhong Li, Hao Wu, Jiheng Zhang
http://arxiv.org/abs/2107.10467v1
• [cs.CR]Improving the Authentication with Built-in Camera ProtocolUsing Built-in Motion Sensors: A Deep Learning Solution
Cezara Benegui, Radu Tudor Ionescu
http://arxiv.org/abs/2107.10536v1
• [cs.CR]Spinning Sequence-to-Sequence Models with Meta-Backdoors
Eugene Bagdasaryan, Vitaly Shmatikov
http://arxiv.org/abs/2107.10443v1
• [cs.CV]3D Shape Generation with Grid-based Implicit Functions
Moritz Ibing, Isaak Lim, Leif Kobbelt
http://arxiv.org/abs/2107.10607v1
• [cs.CV]A Public Ground-Truth Dataset for Handwritten Circuit Diagram Images
Felix Thoma, Johannes Bayer, Yakun Li
http://arxiv.org/abs/2107.10373v1
• [cs.CV]Adaptive Dilated Convolution For Human Pose Estimation
Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou
http://arxiv.org/abs/2107.10477v1
• [cs.CV]AnonySIGN: Novel Human Appearance Synthesis for Sign Language Video Anonymisation
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
http://arxiv.org/abs/2107.10685v1
• [cs.CV]CogSense: A Cognitively Inspired Framework for Perception Adaptation
Hyukseong Kwon, Amir Rahimi, Kevin G. Lee, Amit Agarwal, Rajan Bhattacharyya
http://arxiv.org/abs/2107.10456v1
• [cs.CV]Copy and Paste method based on Pose for ReID
Cheng Yang
http://arxiv.org/abs/2107.10479v1
• [cs.CV]Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations
Minghan Zhu, Maani Ghaffari, Huei Peng
http://arxiv.org/abs/2107.10296v1
• [cs.CV]DOVE: Learning Deformable 3D Objects by Watching Videos
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi
http://arxiv.org/abs/2107.10844v1
• [cs.CV]DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Li Gao, Jing Zhang, Lefei Zhang, Dacheng Tao
http://arxiv.org/abs/2107.09600v2
• [cs.CV]Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire
Wanqing Xie, Lizhong Liang, Yao Lu, Hui Luo, Xiaofeng Liu
http://arxiv.org/abs/2107.10712v1
• [cs.CV]DeepScale: An Online Frame Size Adaptation Framework to Accelerate Visual Multi-object Tracking
Keivan Nalaie, Rong Zheng
http://arxiv.org/abs/2107.10404v1
• [cs.CV]EAN: Event Adaptive Network for Enhanced Action Recognition
Yuan Tian, Yichao Yan, Xiongkuo Min, Guo Lu, Guangtao Zhai, Guodong Guo, Zhiyong Gao
http://arxiv.org/abs/2107.10771v1
• [cs.CV]External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery
Isaac J. Sledge, Christopher D. Toole, Joseph A. Maestri, Jose C. Principe
http://arxiv.org/abs/2107.10504v1
• [cs.CV]Geometric Data Augmentation Based on Feature Map Ensemble
Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi
http://arxiv.org/abs/2107.10524v1
• [cs.CV]MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu
http://arxiv.org/abs/2107.10433v1
• [cs.CV]PoseDet: Fast Multi-Person Pose Estimation Using Pose Embedding
Chenyu Tian, Ran Yu, Xinyuan Zhao, Weihao Xia, Yujiu Yang, Haoqian Wang
http://arxiv.org/abs/2107.10466v1
• [cs.CV]Query2Label: A Simple Transformer Way to Multi-Label Classification
Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu
http://arxiv.org/abs/2107.10834v1
• [cs.CV]Reading Race: AI Recognises Patient’s Racial Identity In Medical Images
Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P Lungren, Lyle Palmer, Brandon J Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W Gichoya
http://arxiv.org/abs/2107.10356v1
• [cs.CV]Rule-Based Classification of Hyperspectral Imaging Data
Songuel Polat, Alain Tremeau, Frank Boochs
http://arxiv.org/abs/2107.10638v1
• [cs.CV]Semantic Text-to-Face GAN -ST^2FG
Manan Oza, Sukalpa Chanda, David Doermann
http://arxiv.org/abs/2107.10756v1
• [cs.CV]Structure Destruction and Content Combination for Face Anti-Spoofing
Ke-Yue Zhang, Taiping Yao, Jian Zhang, Shice Liu, Bangjie Yin, Shouhong Ding, Jilin Li
http://arxiv.org/abs/2107.10628v1
• [cs.CV]Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
http://arxiv.org/abs/2107.10419v1
• [cs.CY]Challenges in cybersecurity: Lessons from biological defense systems
Edward Schrom, Ann Kinzig, Stephanie Forrest, Andrea L. Graham, Simon A. Levin, Carl T. Bergstrom, Carlos Castillo-Chavez, James P. Collins, Rob J. de Boer, Adam Doupé, Roya Ensafi, Stuart Feldman, Bryan T. Grenfell. Alex Halderman, Silvie Huijben, Carlo Maley, Melanie Mosesr, Alan S. Perelson, Charles Perrings, Joshua Plotkin, Jennifer Rexford, Mohit Tiwari
http://arxiv.org/abs/2107.10344v1
• [cs.CY]Codeathon Activity: A Design Prototype for Real World Problems
Preetha S, Rajeshwari K, Anitha C, Kausthub Narayan
http://arxiv.org/abs/2107.10556v1
• [cs.CY]Out of the Shadows: Analyzing Anonymous’ Twitter Resurgence during the 2020 Black Lives Matter Protests
Keenan Jones, Jason R. C. Nurse, Shujun Li
http://arxiv.org/abs/2107.10554v1
• [cs.DB]Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing
Tobias Fankhauser, Marc E. Solèr, Rudolf M. Füchslin, Kurt Stockinger
http://arxiv.org/abs/2107.10508v1
• [cs.DC]Flexible Distributed Matrix Multiplication
Weiqi Li, Zhen Chen, Zhiying Wang, Syed A. Jafar, Hamid Jafarkhani
http://arxiv.org/abs/2107.10448v1
• [cs.DC]Formal method of synthesis of optimal topologies of computing systems based on projective description of graphs
V. A. Melent’ev
http://arxiv.org/abs/2107.10018v2
• [cs.DL]Impacts Towards a comprehensive assessment of the book impact by integrating multiple evaluation sources
Qingqing Zhou, Chengzhi Zhang
http://arxiv.org/abs/2107.10434v1
• [cs.DS]Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling
Matthew Fahrbach, Mehrdad Ghadiri, Thomas Fu
http://arxiv.org/abs/2107.10654v1
• [cs.DS]Learning Sparse Fixed-Structure Gaussian Bayesian Networks
Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang
http://arxiv.org/abs/2107.10450v1
• [cs.IT]A Distributed Sparse Channel Estimation Technique for mmWave Massive MIMO Systems
Maria Trigka, Christos Mavrokefalidis, Kostas Berberidis
http://arxiv.org/abs/2107.10691v1
• [cs.IT]Binary irreducible quasi-cyclic parity-check subcodes of Goppa codes and extended Goppa codes
Xia Li, Qin Yue, Daitao Huang
http://arxiv.org/abs/2107.10494v1
• [cs.IT]Cell-Free SUCRe Protocol: A User-Centric Adaptation
Victor Croisfelt, Taufik Abrão, José Carlos Marinello
http://arxiv.org/abs/2107.10294v1
• [cs.IT]Cell-free Massive MIMO with Short Packets
Alejandro Lancho, Giuseppe Durisi, Luca Sanguinetti
http://arxiv.org/abs/2107.10707v1
• [cs.IT]Equidistant Linear Codes in Projective Spaces
Pranab Basu
http://arxiv.org/abs/2107.10820v1
• [cs.IT]Fourier-Reflexive Partitions Induced by Poset Metric
Yang Xu, Haibin Kan, Guangyue Han
http://arxiv.org/abs/2107.10401v1
• [cs.IT]High dimensional expansion implies amplified local testability
Tali Kaufman, Izhar Oppenheim
http://arxiv.org/abs/2107.10488v1
• [cs.IT]High-performance low-complexity error pattern generation for ORBGRAND decoding
Carlo Condo, Valerio Bioglio, Ingmar Land
http://arxiv.org/abs/2107.10517v1
• [cs.IT]Joint Optimization of Preamble Selection and Access Barring for Random Access in MTC with General Device Activities
Wang Liu, Ying Cui, Feng Yang, Lianghui Ding, Jun Sun
http://arxiv.org/abs/2107.10461v1
• [cs.IT]Low latency allcast over broadcast erasure channels
Mark A. Graham, Ayalvadi J. Ganesh, Robert J. Piechocki
http://arxiv.org/abs/2107.10695v1
• [cs.IT]Lower Bounds for Maximally Recoverable Tensor Code and Higher Order MDS Codes
Joshua Brakensiek, Sivakanth Gopi, Visu Makam
http://arxiv.org/abs/2107.10822v1
• [cs.IT]Optimal Joint Beamforming and Power Control in Cell-Free Massive MIMO Downlink
Mohamed Elwekeil, Alessio Zappone, Stefano Buzzi
http://arxiv.org/abs/2107.10749v1
• [cs.LG]A Framework for Imbalanced Time-series Forecasting
Luis P. Silvestrin, Leonardos Pantiskas, Mark Hoogendoorn
http://arxiv.org/abs/2107.10709v1
• [cs.LG]A Proactive Management Scheme for Data Synopses at the Edge
Kostas Kolomvatsos, Christos Anagnostopoulos
http://arxiv.org/abs/2107.10558v1
• [cs.LG]Abstract Reasoning via Logic-guided Generation
Sihyun Yu, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
http://arxiv.org/abs/2107.10493v1
• [cs.LG]Accelerating Quadratic Optimization with Reinforcement Learning
Jeffrey Ichnowski, Paras Jain, Bartolomeo Stellato, Goran Banjac, Michael Luo, Francesco Borrelli, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg
http://arxiv.org/abs/2107.10847v1
• [cs.LG]Active Learning in Incomplete Label Multiple Instance Multiple Label Learning
Tam Nguyen, Raviv Raich
http://arxiv.org/abs/2107.10804v1
• [cs.LG]Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks
Yossi Arjevani, Michael Field
http://arxiv.org/abs/2107.10370v1
• [cs.LG]Bandit Quickest Changepoint Detection
Aditya Gopalan, Venkatesh Saligrama, Braghadeesh Lakshminarayanan
http://arxiv.org/abs/2107.10492v1
• [cs.LG]Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims
Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore
http://arxiv.org/abs/2107.10495v1
• [cs.LG]Data Considerations in Graph Representation Learning for Supply Chain Networks
Ajmal Aziz, Edward Elson Kosasih, Ryan-Rhys Griffiths, Alexandra Brintrup
http://arxiv.org/abs/2107.10609v1
• [cs.LG]Efficient Neural Causal Discovery without Acyclicity Constraints
Phillip Lippe, Taco Cohen, Efstratios Gavves
http://arxiv.org/abs/2107.10483v1
• [cs.LG]Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
Mohammad Hossein Shaker, Eyke Hüllermeier
http://arxiv.org/abs/2107.10384v1
• [cs.LG]Evaluating the Quality of Finite Element Meshes with Machine Learning
Joachim Sprave, Christian Drescher
http://arxiv.org/abs/2107.10507v1
• [cs.LG]Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression
Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger
http://arxiv.org/abs/2107.10640v1
• [cs.LG]How to Tell Deep Neural Networks What We Know
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan
http://arxiv.org/abs/2107.10295v1
• [cs.LG]Improve Learning from Crowds via Generative Augmentation
Zhendong Chu, Hongning Wang
http://arxiv.org/abs/2107.10449v1
• [cs.LG]Improving COVID-19 Forecasting using eXogenous Variables
Mohammadhossein Toutiaee, Xiaochuan Li, Yogesh Chaudhari, Shophine Sivaraja, Aishwarya Venkataraj, Indrajeet Javeri, Yuan Ke, Ismailcem Arpinar, Nicole Lazar, John Miller
http://arxiv.org/abs/2107.10397v1
• [cs.LG]Inter and Intra-Annual Spatio-Temporal Variability of Habitat Suitability for Asian Elephants in India: A Random Forest Model-based Analysis
P. Anjali, Deepak N. Subramani
http://arxiv.org/abs/2107.10478v1
• [cs.LG]Learning to Transfer: A Foliated Theory
Janith Petangoda, Marc Peter Deisenroth, Nicholas A. M. Monk
http://arxiv.org/abs/2107.10763v1
• [cs.LG]Memorization in Deep Neural Networks: Does the Loss Function matter?
Deep Patel, P. S. Sastry
http://arxiv.org/abs/2107.09957v2
• [cs.LG]Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification
Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang, Wen Yao
http://arxiv.org/abs/2107.10428v1
• [cs.LG]Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications
Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao
http://arxiv.org/abs/2107.10484v1
• [cs.LG]Neural Variational Gradient Descent
Lauro Langosco di Langosco, Vincent Fortuin, Heiko Strathmann
http://arxiv.org/abs/2107.10731v1
• [cs.LG]Predicting Power Electronics Device Reliability under Extreme Conditions with Machine Learning Algorithms
Carlos Olivares, Raziur Rahman, Christopher Stankus, Jade Hampton, Andrew Zedwick, Moinuddin Ahmed
http://arxiv.org/abs/2107.10292v1
• [cs.LG]Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
Fan Wu, Min Gao, Junliang Yu, Zongwei Wang, Kecheng Liu, Xu Wange
http://arxiv.org/abs/2107.10457v1
• [cs.LG]Selective Pseudo-label Clustering
Louis Mahon, Thomas Lukasiewicz
http://arxiv.org/abs/2107.10692v1
• [cs.LG]Small-text: Active Learning for Text Classification in Python
Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast
http://arxiv.org/abs/2107.10314v1
• [cs.LG]Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
Ramin Barati, Reza Safabakhsh, Mohammad Rahmati
http://arxiv.org/abs/2107.10599v1
• [cs.LG]Tri-Branch Convolutional Neural Networks for Top- Focused Academic Performance Prediction
Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin
http://arxiv.org/abs/2107.10424v1
• [cs.LG]Typing assumptions improve identification in causal discovery
Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sebastien Lachapelle, Alexandre Drouin
http://arxiv.org/abs/2107.10703v1
• [cs.LG]Unsupervised Detection of Adversarial Examples with Model Explanations
Gihyuk Ko, Gyumin Lim
http://arxiv.org/abs/2107.10480v1
• [cs.LG]cGANs with Auxiliary Discriminative Classifier
Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng
http://arxiv.org/abs/2107.10060v2
• [cs.LO]A Logic of Expertise
Joseph Singleton
http://arxiv.org/abs/2107.10832v1
• [cs.NE]A Multi-objective Evolutionary Algorithm for EEG Inverse Problem
José Enrique Alvarez Iglesias, Mayrim Vega-Hernández, Eduardo Martínez-Montes
http://arxiv.org/abs/2107.10325v1
• [cs.NI]On the Stability Regions of Coded Poisson Receivers with Multiple Classes of Users and Receivers
Chia-Ming Chang, Yi-Jheng Lin, Cheng-Shang~Chang, Duan-Shin Lee
http://arxiv.org/abs/2107.10696v1
• [cs.RO]A novel teleoperator testbed to understand the effects of master-slave dynamics on embodiment and kinesthetic perception *
Mohit Singhala, Jeremy D. Brown
http://arxiv.org/abs/2107.10807v1
• [cs.RO]A novel testbed for investigating the impact of teleoperator dynamics on perceived environment dynamics
Mohit Singhala, Jeremy D. Brown
http://arxiv.org/abs/2107.10784v1
• [cs.RO]Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana, Vibhavari Dasagi, Jesse Haviland, Ben Talbot, Michael Milford, Niko Sünderhauf
http://arxiv.org/abs/2107.09822v2
• [cs.RO]Capacitated Vehicle Routing with Target Geometric Constraints
Kai Gao, Jingjin Yu
http://arxiv.org/abs/2107.10382v1
• [cs.RO]DeltaCharger: Charging Robot with Inverted Delta Mechanism and CNN-driven High Fidelity Tactile Perception for Precise 3D Positioning
Iaroslav Okunevich, Daria Trinitatova, Pavel Kopanev, Dzmitry Tsetserukou
http://arxiv.org/abs/2107.10710v1
• [cs.RO]Dialogue Object Search
Monica Roy, Kaiyu Zheng, Jason Liu, Stefanie Tellex
http://arxiv.org/abs/2107.10653v1
• [cs.RO]MobileCharger: an Autonomus Mobile Robot with Inverted Delta Actuator for Robust and Safe Robot Charging
Iaroslav Okunevich, Daria Trinitatova, Pavel Kopanev, Dzmitry Tsetserukou
http://arxiv.org/abs/2107.10585v1
• [cs.RO]Rethinking Trajectory Forecasting Evaluation
Boris Ivanovic, Marco Pavone
http://arxiv.org/abs/2107.10297v1
• [cs.RO]Towards an Understanding of the Role Operator Limb Dynamics Plays in Haptic Perception of Stiffness
Mohit Singhala, Jeremy D. Brown
http://arxiv.org/abs/2107.10788v1
• [cs.RO]Uncertainty-Aware Task Allocation for Distributed Autonomous Robots
Liang Sun, Leonardo Escamilla
http://arxiv.org/abs/2107.10350v1
• [cs.SD]StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion
Yinghao Aaron Li, Ali Zare, Nima Mesgarani
http://arxiv.org/abs/2107.10394v1
• [cs.SI]An Access Control for IoT Based on Network Community Perception and Social Trust Against Sybil Attacks
Gustavo Oliveira, Agnaldo de Souza Batista, Michele Nogueira, Aldri Santos
http://arxiv.org/abs/2107.10395v1
• [cs.SI]Diversity-aware Web APIs Assignment and Recommendation for Mashup Creation with Compatibility Guarantee
Wenwen Gong, Huiping Wu, Xiaokang Wang, Xuyun Zhang, Yifei Chen, Song Jia, Mohammad R. Khosravi
http://arxiv.org/abs/2107.10538v1
• [cs.SI]Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection
Jiawen Li, Shiwen Ni, Hung-Yu Kao
http://arxiv.org/abs/2107.10747v1
• [cs.SI]Patterns of Patterns
Joseph Corneli, Alex Murphy, Raymond S. Puzio, Leo Vivier, Noorah Alhasan, Charles J. Danoff, Vitor Bruno, Charlotte Pierce
http://arxiv.org/abs/2107.10497v1
• [cs.SI]Recovering lost and absent information in temporal networks
James P. Bagrow, Sune Lehmann
http://arxiv.org/abs/2107.10835v1
• [eess.AS]Digital Einstein Experience: Fast Text-to-Speech for Conversational AI
Joanna Rownicka, Kilian Sprenkamp, Antonio Tripiana, Volodymyr Gromoglasov, Timo P Kunz
http://arxiv.org/abs/2107.10658v1
• [eess.AS]HARP-Net: Hyper-Autoencoded Reconstruction Propagation for Scalable Neural Audio Coding
Darius Petermann, Seungkwon Beack, Minje Kim
http://arxiv.org/abs/2107.10843v1
• [eess.AS]Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning
Karn N. Watcharasupat, Thi Ngoc Tho Nguyen, Ngoc Khanh Nguyen, Zhen Jian Lee, Douglas L. Jones, Woon Seng Gan
http://arxiv.org/abs/2107.10471v1
• [eess.AS]What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
Thi Ngoc Tho Nguyen, Karn N. Watcharasupat, Zhen Jian Lee, Ngoc Khanh Nguyen, Douglas L. Jones, Woon Seng Gan
http://arxiv.org/abs/2107.10469v1
• [eess.AS]What Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
Thi Ngoc Tho Nguyen, Karn N. Watcharasupat, Zhen Jian Lee, Ngoc Khanh Nguyen, Douglas L. Jones, Woon Seng Gan
http://arxiv.org/abs/org/abs/2107.10469v1
• [eess.IV]A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image
Yufei Wang, Yiqing Shen, Meng Yuan, Jing Xu, Bin Yang, Chi Liu, Wenjia Cai, Weijing Cheng, Wei Wang
http://arxiv.org/abs/2107.10476v1
• [eess.IV]Fristograms: Revealing and Exploiting Light Field Internals
Thorsten Herfet, Kelvin Chelli, Tobias Lange, Robin Kremer
http://arxiv.org/abs/2107.10563v1
• [eess.IV]Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan
http://arxiv.org/abs/2107.10833v1
• [eess.IV]Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI
Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, Weichung Wang, C. -C. Jay Kuo, Georges El Fakhri, Jonghye Woo
http://arxiv.org/abs/2107.10718v1
• [eess.IV]Self-transfer learning via patches: A prostate cancer triage approach based on bi-parametric MRI
Alvaro Fernandez-Quilez, Trygve Eftestøl, Morten Goodwin, Svein Reidar Kjosavik, Ketil Oppedal
http://arxiv.org/abs/2107.10806v1
• [eess.SP]Multi-modal Residual Perceptron Network for Audio-Video Emotion Recognition
Xin Chang, Władysław Skarbek
http://arxiv.org/abs/2107.10742v1
• [eess.SP]mmPose-NLP: A Natural Language Processing Approach to Precise Skeletal Pose Estimation using mmWave Radars
Arindam Sengupta, Siyang Cao
http://arxiv.org/abs/2107.10327v1
• [eess.SY]Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
Nathan Lutes, K. Krishnamurthy, Venkata Sriram Siddhardh Nadendla, S. N. Balakrishnan
http://arxiv.org/abs/2107.10383v1
• [math.OC]Distributed Saddle-Point Problems Under Similarity
Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander Gasnikov
http://arxiv.org/abs/2107.10706v1
• [math.ST]A network Poisson model for weighted directed networks with covariates
MengXu, Qiuping Wang
http://arxiv.org/abs/2107.10735v1
• [math.ST]Dimension-Free Anticoncentration Bounds for Gaussian Order Statistics with Discussion of Applications to Multiple Testing
Damian Kozbur
http://arxiv.org/abs/2107.10766v1
• [math.ST]One-parameter generalised Fisher information
Worachet Bukaew, Sikarin Yoo-Kong
http://arxiv.org/abs/2107.10578v1
• [math.ST]Robust Nonparametric Regression with Deep Neural Networks
Guohao Shen, Yuling Jiao, Yuanyuan Lin, Jian Huang
http://arxiv.org/abs/2107.10343v1
• [physics.flu-dyn]Physics-informed neural networks for solving Reynolds-averaged NavierStokes equations
Hamidreza Eivazi, Mojtaba Tahani, Philipp Schlatter, Ricardo Vinuesa
http://arxiv.org/abs/2107.10711v1
• [physics.med-ph]Identification of Tissue Optical Properties During Thermal Laser-Tissue Interactions: Approach and Preliminary Evaluation
Andrea Arnold, Loris Fichera
http://arxiv.org/abs/2107.10340v1
• [q-bio.OT]Machine Learning Characterization of Cancer Patients-Derived Extracellular Vesicles using Vibrational Spectroscopies
Abicumaran Uthamacumaran, Samir Elouatik, Mohamed Abdouh, Michael Berteau-Rainville, Zhu- Hua Gao, Goffredo Arena
http://arxiv.org/abs/2107.10332v1
• [q-bio.QM]Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
http://arxiv.org/abs/2107.10670v1
• [q-fin.RM]A Sparsity Algorithm with Applications to Corporate Credit Rating
Dan Wang, Zhi Chen, Ionut Florescu
http://arxiv.org/abs/2107.10306v1
• [q-fin.ST]cCorrGAN: Conditional Correlation GAN for Learning Empirical Conditional Distributions in the Elliptope
Gautier Marti, Victor Goubet, Frank Nielsen
http://arxiv.org/abs/2107.10606v1
• [quant-ph]QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
http://arxiv.org/abs/2107.10845v1
• [stat.AP]Probabilistic Forecast Combination for Anomaly Detection in Building Heat Load Time Series
Mario Beykirch, Tim Janke, Imed Tayeche, Florian Steinke
http://arxiv.org/abs/2107.10828v1
• [stat.AP]Reproducibility of COVID-19 pre-prints
Annie Collins, Rohan Alexander
http://arxiv.org/abs/2107.10724v1
• [stat.AP]The impact of increasing COVID-19 cases/deaths on the number of uncivil tweets directed at governments
Kohei Nishi
http://arxiv.org/abs/2107.10041v2
• [stat.ME]Graphical Influence Diagnostics for Changepoint Models
Ines Wilms, Rebecca Killick, David S. Matteson
http://arxiv.org/abs/2107.10572v1
• [stat.ME]Mind the Income Gap: Behavior of Inequality Estimators from Complex Survey Small Samples
Silvia De Nicolò, Maria Rosaria Ferrante, Silvia Pacei
http://arxiv.org/abs/2107.08950v2
• [stat.ME]Robust low-rank covariance matrix estimation with a general pattern of missing values
Alexandre Hippert-Ferrer, Mohammed Nabil El Korso, Arnaud Breloy, Guillaume Ginolhac
http://arxiv.org/abs/2107.10505v1
• [stat.ME]Scale-mixture Birnbaum-Saunders quantile regression models applied to personal accident insurance data
Alan Dasilva, Helton Saulo
http://arxiv.org/abs/2107.10365v1
• [stat.ML]An overcome of far-distance limitation on tunnel CCTV-based accident detection in AI deep-learning frameworks
Kyu-Beom Lee, Hyu-Soung Shin
http://arxiv.org/abs/2107.10567v1
• [stat.ML]Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning
Naichen Shi, Fan Lai, Raed Al Kontar, Mosharaf Chowdhury
http://arxiv.org/abs/2107.10663v1
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