cond-mat.mtrl-sci - 材料科学
cs.AI - 人工智能 cs.AR - 硬件体系结构 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.DL - 数字图书馆 cs.DS - 数据结构与算法 cs.GT - 计算机科学与博弈论 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SD - 声音处理 cs.SI - 社交网络与信息网络 econ.GN - 一般经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 math.CO - 组合数学 math.OC - 优化与控制 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 q-bio.QM - 定量方法 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]Autonomous synthesis of metastable materials
• [cs.AI]Choice Set Misspecification in Reward Inference
• [cs.AI]Classification of Pedagogical content using conventional machine learning and deep learning model
• [cs.AI]Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum
• [cs.AI]Dissonance Between Human and Machine Understanding
• [cs.AI]Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
• [cs.AI]Mapping and Describing Geospatial Data to Generalize Complex Mapping and Describing Geospatial Data to Generalize Complex Models: The Case of LittoSIM-GEN Models
• [cs.AI]Paraconsistent Foundations for Quantum Probability
• [cs.AI]Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search
• [cs.AR]SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
• [cs.CE]Optical Flow Method for Measuring Deformation of Soil Specimen Subjected to Torsional Shearing
• [cs.CL]Automatic punctuation restoration with BERT models
• [cs.CL]Challenges for Computational Lexical Semantic Change
• [cs.CL]Exploring Lexical Irregularities in Hypothesis-OnlyModels of Natural Language Inference
• [cs.CL]Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
• [cs.CL]Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis
• [cs.CL]MONAH: Multi-Modal Narratives for Humans to analyze conversations
• [cs.CL]Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks
• [cs.CL]Single versus Multiple Annotation for Named Entity Recognition of Mutations
• [cs.CL]Situation and Behavior Understanding by Trope Detection on Films
• [cs.CL]Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
• [cs.CL]UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
• [cs.CR]A System for Automated Open-Source Threat Intelligence Gathering and Management
• [cs.CR]Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation
• [cs.CR]Panel: Humans and Technology for Inclusive Privacy and Security
• [cs.CV]A DCNN-based Arbitrarily-Oriented Object Detector for Quality Control and Inspection Application
• [cs.CV]An Improvement of Object Detection Performance using Multi-step Machine Learnings
• [cs.CV]ArtEmis: Affective Language for Visual Art
• [cs.CV]Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization
• [cs.CV]BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
• [cs.CV]CAA : Channelized Axial Attention for Semantic Segmentation
• [cs.CV]Collaboration among Image and Object Level Features for Image Colourisation
• [cs.CV]Deep Feedback Inverse Problem Solver
• [cs.CV]Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
• [cs.CV]Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes
• [cs.CV]Diagnostic Captioning: A Survey
• [cs.CV]Fast Convergence of DETR with Spatially Modulated Co-Attention
• [cs.CV]GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention
• [cs.CV]Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks
• [cs.CV]Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences
• [cs.CV]Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets
• [cs.CV]Hyperdimensional computing as a framework for systematic aggregation of image descriptors
• [cs.CV]Hyperspectral Image Restoration via Multi-mode and Double-weighted Tensor Nuclear Norm Minimization
• [cs.CV]Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets
• [cs.CV]Improving Makeup Face Verification by Exploring Part-Based Representations
• [cs.CV]Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
• [cs.CV]Intelligent Frame Selection as a Privacy-Friendlier Alternative to Face Recognition
• [cs.CV]JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks
• [cs.CV]Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains
• [cs.CV]Object Tracking by Detection with Visual and Motion Cues
• [cs.CV]PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack
• [cs.CV]SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
• [cs.CV]Salient Object Detection via Integrity Learning
• [cs.CV]Text line extraction using fully convolutional network and energy minimization
• [cs.CV]The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
• [cs.CV]Unsupervised Deep Learning for Handwritten Page Segmentation
• [cs.CV]Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
• [cs.CV]VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset
• [cs.CY]An Artificial Intelligence based approach to estimating time of arrival and bus occupancy for public transport systems in Africa
• [cs.CY]COVID-19 and Digital Transformation — Developing an Open Experimental Testbed for Sustainable and Innovative Environments (ETSIE) using Fuzzy Cognitive Maps
• [cs.CY]Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voices
• [cs.CY]Data Protection Impact Assessment for the Corona App
• [cs.CY]Metadata Analysis of Open Educational Resources
• [cs.DL]Characterizing References from Different Disciplines: A Perspective of Citation Content Analysis
• [cs.DS]Fast Distributed Algorithms for Girth, Cycles and Small Subgraphs
• [cs.GT]Trading Transforms of Non-weighted Simple Games and Integer Weights of Weighted Simple Games
• [cs.HC]GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
• [cs.HC]Work Online, Welfare Calls, and Wine Night: Effects of the COVID-19 Pandemic on Individuals’ Technology Use
• [cs.IR]A Comparison of Question Rewriting Methods for Conversational Passage Retrieval
• [cs.IR]Chronological Citation Recommendation with Time Preference
• [cs.IR]Density-Ratio Based Personalised Ranking from Implicit Feedback
• [cs.IT]A family of codes with locality containing optimal codes
• [cs.IT]Coverage Evaluation for 5G Reduced Capability New Radio (NR-RedCap)
• [cs.IT]Cross-Layer Network Codes for Content Delivery in Cache-Enabled D2D Networks
• [cs.IT]Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles
• [cs.IT]How Long to Estimate Sparse MIMO Channels
• [cs.IT]IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues
• [cs.IT]Information Theoretic Secure Aggregation with User Dropouts
• [cs.IT]Max-Min Fairness Based on Cooperative-NOMA Clustering for Ultra-Reliable and Low-Latency Communications
• [cs.IT]Outage Probability of Uplink Cell-Free Massive MIMO Network with Imperfect CSI Using Dimension-Reduction Method
• [cs.IT]Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO
• [cs.IT]Single-RF Multi-User Communication Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis
• [cs.IT]UAV-Enabled Cooperative Jamming for Covert Communications
• [cs.LG]A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
• [cs.LG]Accelerating Deep Learning Inference via Learned Caches
• [cs.LG]Benchmarking Perturbation-based Saliency Maps for Explaining Deep Reinforcement Learning Agents
• [cs.LG]Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
• [cs.LG]Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks
• [cs.LG]Continual Deterioration Prediction for Hospitalized COVID-19 Patients
• [cs.LG]Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
• [cs.LG]Deep-Mobility: A Deep Learning Approach for an Efficient and Reliable 5G Handover
• [cs.LG]Determining Structural Properties of Artificial Neural Networks Using Algebraic Topology
• [cs.LG]Disentangled Recurrent Wasserstein Autoencoder
• [cs.LG]Does Continual Learning = Catastrophic Forgetting?
• [cs.LG]Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
• [cs.LG]ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning
• [cs.LG]Edge-Featured Graph Attention Network
• [cs.LG]Few-Shot Bayesian Optimization with Deep Kernel Surrogates
• [cs.LG]GLocalX — From Local to Global Explanations of Black Box AI Models
• [cs.LG]Guided parallelized stochastic gradient descent for delay compensation
• [cs.LG]Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders
• [cs.LG]Image Denoising using Attention-Residual Convolutional Neural Networks
• [cs.LG]Interpretable Models for Granger Causality Using Self-explaining Neural Networks
• [cs.LG]Learnable Embedding Sizes for Recommender Systems
• [cs.LG]Learning over Families of Sets — Hypergraph Representation Learning for Higher Order Tasks
• [cs.LG]Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
• [cs.LG]On Dynamic Noise Influence in Differentially Private Learning
• [cs.LG]Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data
• [cs.LG]PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator
• [cs.LG]Submodular Maximization via Taylor Series Approximation
• [cs.LG]Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
• [cs.NE]A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems
• [cs.NE]A synthetic biology approach for the design of genetic algorithms with bacterial agents
• [cs.NE]Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm
• [cs.NE]Synaptic metaplasticity in binarized neural networks
• [cs.RO]COTORRA: COntext-aware Testbed fOR Robotic Applications
• [cs.RO]Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
• [cs.RO]Mirror-Descent Inverse Kinematics for Box-constrained Joint Space
• [cs.RO]Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping
• [cs.RO]Practical Distributed Control for VTOL UAVs to Pass a Tunnel
• [cs.RO]Swarm Herding: A Leader-Follower Framework For Multi-Robot Navigation
• [cs.RO]The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception
• [cs.RO]Towards Latent Space Based Manipulation of Elastic Rods using Autoencoder Models and Robust Centerline Extractions
• [cs.SD]A framework to compare music generative models using automatic evaluation metrics extended to rhythm
• [cs.SI]Analysis of Moral Judgement on Reddit
• [cs.SI]Centrality with Diversity
• [cs.SI]CoVaxxy: A global collection of English Twitter posts about COVID-19 vaccines
• [cs.SI]DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness
• [cs.SI]How Do Hyperedges Overlap in Real-World Hypergraphs? — Patterns, Measures, and Generators
• [econ.GN]The fiscal response to revenue shocks
• [econ.GN]Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study
• [eess.IV]A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction
• [eess.IV]A survey on shape-constraint deep learning for medical image segmentation
• [eess.IV]COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning
• [eess.IV]Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
• [eess.IV]Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly
• [eess.IV]Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography
• [eess.IV]Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection
• [eess.IV]Magnification Generalization for Histopathology Image Embedding
• [eess.IV]Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms
• [eess.IV]Multi-target detection with rotations
• [eess.IV]Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network
• [eess.IV]Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information
• [eess.IV]Unsupervised Domain Adaptation from Axial toShort-Axis Multi-Slice Cardiac MR Images byIncorporating Pretrained Task Networks
• [eess.IV]Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
• [eess.IV]Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
• [eess.SP]Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
• [math.CO]Can smooth graphons in several dimensions be represented by smooth graphons on ?
• [math.OC]TREGO: a Trust-Region Framework for Efficient Global Optimization
• [math.ST]Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process
• [math.ST]Exchangeable Bernoulli distributions: high dimensional simulation, estimate and testing
• [math.ST]Sequential causal inference in a single world of connected units
• [physics.data-an]E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
• [q-bio.QM]Clustering Future Scenarios Based on Predicted Range Maps
• [quant-ph]Quantum Permutation Synchronization
• [stat.AP]A note on the g and h control charts
• [stat.AP]A sampling algorithm to compute the set of feasible solutions for non-negative matrix factorization with an arbitrary rank
• [stat.AP]An Interpretable Intensive Care Unit Mortality Risk Calculator
• [stat.AP]Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects
• [stat.AP]Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis
• [stat.AP]Optimal sampling and assay for soil organic carbon estimation
• [stat.AP]Powering population health research: Considerations for plausible and actionable effect sizes
• [stat.ME]Detecting differentially methylated regions in bisulfite sequencing data using quasi-binomial mixed models with smooth covariate effect estimates
• [stat.ME]Firth’s logistic regression with rare events: accurate effect estimates AND predictions?
• [stat.ME]Novel Bayesian Procrustes Variance-based Inferences in Geometric Morphometrics & Novel R package: BPviGM1
• [stat.ME]On resampling methods for model assessment in penalized and unpenalized logistic regression
• [stat.ME]Quantifying Uncertainty in Infectious Disease Mechanistic Models
• [stat.ME]Robust Bayesian Inference for Big Data: Combining Sensor-based Records with Traditional Survey Data
• [stat.ME]Selection of Summary Statistics for Network Model Choice with Approximate Bayesian Computation
• [stat.ME]Sequential Bayesian Risk Set Inference for Robust Discrete Optimization via Simulation
• [stat.ME]Testing Simultaneous Diagonalizability
• [stat.ME]The effect of Hybrid Principal Components Analysis on the Signal Compression Functional Regression: With EEG-fMRI Application
• [stat.ME]Variable Selection in Regression-based Estimation of Dynamic Treatment Regimes
• [stat.ML]Analysis and tuning of hierarchical topic models based on Renyi entropy approach
• [stat.ML]Consistency of random-walk based network embedding algorithms
• [stat.ML]Minimax Off-Policy Evaluation for Multi-Armed Bandits
• [stat.ML]Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy
• [stat.ML]Utilizing Import Vector Machines to Identify Dangerous Pro-active Traffic Conditions
• [stat.ML]Variance Based Samples Weighting for Supervised Deep Learning
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• [cond-mat.mtrl-sci]Autonomous synthesis of metastable materials
Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, R. Bruce van Dover
http://arxiv.org/abs/2101.07385v1
• [cs.AI]Choice Set Misspecification in Reward Inference
Rachel Freedman, Rohin Shah, Anca Dragan
http://arxiv.org/abs/2101.07691v1
• [cs.AI]Classification of Pedagogical content using conventional machine learning and deep learning model
Vedat Apuk, Krenare Pireva Nuçi
http://arxiv.org/abs/2101.07321v1
• [cs.AI]Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum
Thomas K. F. Chiu, Helen Meng, Ching-Sing Chai, Irwin King, Savio Wong, Yeung Yam
http://arxiv.org/abs/2101.07570v1
• [cs.AI]Dissonance Between Human and Machine Understanding
Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju, Avishek Anand
http://arxiv.org/abs/2101.07337v1
• [cs.AI]Dynamic Bicycle Dispatching of Dockless Public Bicycle-sharing Systems using Multi-objective Reinforcement Learning
Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
http://arxiv.org/abs/2101.07437v1
• [cs.AI]Mapping and Describing Geospatial Data to Generalize Complex Mapping and Describing Geospatial Data to Generalize Complex Models: The Case of LittoSIM-GEN Models
Ahmed Laatabi, Nicolas Becu, Nicolas Marilleau, Cécilia Pignon-Mussaud, Marion Amalric, X. Bertin, Brice Anselme, Elise Beck
http://arxiv.org/abs/2101.07523v1
• [cs.AI]Paraconsistent Foundations for Quantum Probability
Ben Goertzel
http://arxiv.org/abs/2101.07498v1
• [cs.AI]Spatial Assembly: Generative Architecture With Reinforcement Learning, Self Play and Tree Search
Panagiotis Tigas, Tyson Hosmer
http://arxiv.org/abs/2101.07579v1
• [cs.AR]SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
Christina Giannoula, Nandita Vijaykumar, Nikela Papadopoulou, Vasileios Karakostas, Ivan Fernandez, Juan Gómez-Luna, Lois Orosa, Nectarios Koziris, Georgios Goumas, Onur Mutlu
http://arxiv.org/abs/2101.07557v1
• [cs.CE]Optical Flow Method for Measuring Deformation of Soil Specimen Subjected to Torsional Shearing
Piotr E. Srokosz, Marcin Bujko, Marta Bocheńska, Rafał Ossowski
http://arxiv.org/abs/2101.07005v2
• [cs.CL]Automatic punctuation restoration with BERT models
Attila Nagy, Bence Bial, Judit Ács
http://arxiv.org/abs/2101.07343v1
• [cs.CL]Challenges for Computational Lexical Semantic Change
Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg, Haim Dubossarsky
http://arxiv.org/abs/2101.07668v1
• [cs.CL]Exploring Lexical Irregularities in Hypothesis-OnlyModels of Natural Language Inference
Qingyuan Hu, Yi Zhang, Kanishka Misra, Julia Rayz
http://arxiv.org/abs/2101.07397v1
• [cs.CL]Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning
H. J. Austin Wang, Karthik Narasimhan
http://arxiv.org/abs/2101.07393v1
• [cs.CL]Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis
Negin Karisani, Daniel E. Platt, Saugata Basu, Laxmi Parida
http://arxiv.org/abs/2101.07417v1
• [cs.CL]MONAH: Multi-Modal Narratives for Humans to analyze conversations
Joshua Y. Kim, Kalina Yacef, Greyson Y. Kim, Chunfeng Liu, Rafael Calvo, Silas C. R. Taylor
http://arxiv.org/abs/2101.07339v1
• [cs.CL]Red Alarm for Pre-trained Models: Universal Vulnerabilities by Neuron-Level Backdoor Attacks
Zhengyan Zhang, Guangxuan Xiao, Yongwei Li, Tian Lv, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Xin Jiang, Maosong Sun
http://arxiv.org/abs/2101.06969v2
• [cs.CL]Single versus Multiple Annotation for Named Entity Recognition of Mutations
David Martinez Iraola, Antonio Jimeno Yepes
http://arxiv.org/abs/2101.07450v1
• [cs.CL]Situation and Behavior Understanding by Trope Detection on Films
Chen-Hsi Chang, Hung-Ting Su, Juiheng Hsu, Yu-Siang Wang, Yu-Cheng Chang, Zhe Yu Liu, Ya-Liang Chang, Wen-Feng Cheng, Ke-Jyun Wang, Winston H. Hsu
http://arxiv.org/abs/2101.07632v1
• [cs.CL]Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, Tim Althoff
http://arxiv.org/abs/2101.07714v1
• [cs.CL]UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
Chengyi Wang, Yu Wu, Yao Qian, Kenichi Kumatani, Shujie Liu, Furu Wei, Michael Zeng, Xuedong Huang
http://arxiv.org/abs/2101.07597v1
• [cs.CR]A System for Automated Open-Source Threat Intelligence Gathering and Management
Peng Gao, Xiaoyuan Liu, Edward Choi, Bhavna Soman, Chinmaya Mishra, Kate Farris, Dawn Song
http://arxiv.org/abs/2101.07769v1
• [cs.CR]Fast Privacy-Preserving Text Classification based on Secure Multiparty Computation
Amanda Resende, Davis Railsback, Rafael Dowsley, Anderson C. A. Nascimento, Diego F. Aranha
http://arxiv.org/abs/2101.07365v1
• [cs.CR]Panel: Humans and Technology for Inclusive Privacy and Security
Sanchari Das, Robert S. Gutzwiller, Rod D. Roscoe, Prashanth Rajivan, Yang Wang, L. Jean Camp, Roberto Hoyle
http://arxiv.org/abs/2101.07377v1
• [cs.CV]A DCNN-based Arbitrarily-Oriented Object Detector for Quality Control and Inspection Application
Kai Yao, Alberto Ortiz, Francisco Bonnin-Pascual
http://arxiv.org/abs/2101.07383v1
• [cs.CV]An Improvement of Object Detection Performance using Multi-step Machine Learnings
Tomoe Kishimoto, Masahiko Saito, Junichi Tanaka, Yutaro Iiyama, Ryu Sawada, Koji Terashi
http://arxiv.org/abs/2101.07571v1
• [cs.CV]ArtEmis: Affective Language for Visual Art
Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas Guibas
http://arxiv.org/abs/2101.07396v1
• [cs.CV]Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization
Jie Wang, Zhaoxia Yin, Jing Jiang, Yang Du
http://arxiv.org/abs/2101.07512v1
• [cs.CV]BANet: Blur-aware Attention Networks for Dynamic Scene Deblurring
Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin, Chung-Chi Tsai, Chia-Wen Lin
http://arxiv.org/abs/2101.07518v1
• [cs.CV]CAA : Channelized Axial Attention for Semantic Segmentation
Ye Huang, Wenjing Jia, Xiangjian He, Liu Liu, Yuxin Li, Dacheng Tao
http://arxiv.org/abs/2101.07434v1
• [cs.CV]Collaboration among Image and Object Level Features for Image Colourisation
Rita Pucci, Christian Micheloni, Niki Martinel
http://arxiv.org/abs/2101.07576v1
• [cs.CV]Deep Feedback Inverse Problem Solver
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun
http://arxiv.org/abs/2101.07719v1
• [cs.CV]Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
John Phillips, Julieta Martinez, Ioan Andrei Bârsan, Sergio Casas, Abbas Sadat, Raquel Urtasun
http://arxiv.org/abs/2101.06720v2
• [cs.CV]Deep Reinforcement Learning for Producing Furniture Layout in Indoor Scenes
Xinhan Di, Pengqian Yu
http://arxiv.org/abs/2101.07462v1
• [cs.CV]Diagnostic Captioning: A Survey
John Pavlopoulos, Vasiliki Kougia, Ion Androutsopoulos, Dimitris Papamichail
http://arxiv.org/abs/2101.07299v1
• [cs.CV]Fast Convergence of DETR with Spatially Modulated Co-Attention
Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li
http://arxiv.org/abs/2101.07448v1
• [cs.CV]GIID-Net: Generalizable Image Inpainting Detection via Neural Architecture Search and Attention
Haiwei Wu, Jiantao Zhou
http://arxiv.org/abs/2101.07419v1
• [cs.CV]Galaxy Image Translation with Semi-supervised Noise-reconstructed Generative Adversarial Networks
Qiufan Lin, Dominique Fouchez, Jérôme Pasquet
http://arxiv.org/abs/2101.07389v1
• [cs.CV]Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences
Chang Li, Qian Huang, Xing Li, Qianhan Wu
http://arxiv.org/abs/2101.07618v1
• [cs.CV]Hybrid Trilinear and Bilinear Programming for Aligning Partially Overlapping Point Sets
Wei Lian, Wangmeng Zuo, Lei Zhang
http://arxiv.org/abs/2101.07458v1
• [cs.CV]Hyperdimensional computing as a framework for systematic aggregation of image descriptors
Peer Neubert, Stefan Schubert
http://arxiv.org/abs/2101.07720v1
• [cs.CV]Hyperspectral Image Restoration via Multi-mode and Double-weighted Tensor Nuclear Norm Minimization
Sheng Liu, Xiaozhen Xie, Wenfeng Kong
http://arxiv.org/abs/2101.07681v1
• [cs.CV]Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets
Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool
http://arxiv.org/abs/2101.07589v1
• [cs.CV]Improving Makeup Face Verification by Exploring Part-Based Representations
Marcus de Assis Angeloni, Helio Pedrini
http://arxiv.org/abs/2101.07338v1
• [cs.CV]Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
http://arxiv.org/abs/2101.07406v1
• [cs.CV]Intelligent Frame Selection as a Privacy-Friendlier Alternative to Face Recognition
Mattijs Baert, Sam Leroux, Pieter Simoens
http://arxiv.org/abs/2101.07529v1
• [cs.CV]JigsawGAN: Self-supervised Learning for Solving Jigsaw Puzzles with Generative Adversarial Networks
Ru Li, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng
http://arxiv.org/abs/2101.07555v1
• [cs.CV]Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains
Le Thanh Nguyen-Meidine, Atif Belal, Madhu Kiran, Jose Dolz, Louis-Antoine Blais-Morin, Eric Granger
http://arxiv.org/abs/2101.07308v1
• [cs.CV]Object Tracking by Detection with Visual and Motion Cues
Niels Ole Salscheider
http://arxiv.org/abs/2101.07549v1
• [cs.CV]PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack
Jie Wang, Zhaoxia Yin, Jin Tang, Jing Jiang, Bin Luo
http://arxiv.org/abs/2101.07538v1
• [cs.CV]SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Lei He, Jiwen Lu, Guanghui Wang, Shiyu Song, Jie Zhou
http://arxiv.org/abs/2101.07422v1
• [cs.CV]Salient Object Detection via Integrity Learning
Mingchen Zhuge, Deng-Ping Fan, Nian Liu, Dingwen Zhang, Dong Xu, Ling Shao
http://arxiv.org/abs/2101.07663v1
• [cs.CV]Text line extraction using fully convolutional network and energy minimization
Berat Kurar Barakat, Ahmad Droby, Reem Alaasam, Boraq Madi, Irina Rabaev, Jihad El-Sana
http://arxiv.org/abs/2101.07370v1
• [cs.CV]The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods
Louis Thiry, Michael Arbel, Eugene Belilovsky, Edouard Oyallon
http://arxiv.org/abs/2101.07528v1
• [cs.CV]Unsupervised Deep Learning for Handwritten Page Segmentation
Ahmad Droby, Berat Kurar Barakat, Borak Madi, Reem Alaasam, Jihad El-Sana
http://arxiv.org/abs/2101.07487v1
• [cs.CV]Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias
Stefan Stojanov, Anh Thai, James M. Rehg
http://arxiv.org/abs/2101.07296v1
• [cs.CV]VML-MOC: Segmenting a multiply oriented and curved handwritten text lines dataset
Berat Kurar Barakat, Rafi Cohen, Irina Rabaev, Jihad El-Sana
http://arxiv.org/abs/2101.07542v1
• [cs.CY]An Artificial Intelligence based approach to estimating time of arrival and bus occupancy for public transport systems in Africa
Appau Ernest
http://arxiv.org/abs/2101.07674v1
• [cs.CY]COVID-19 and Digital Transformation — Developing an Open Experimental Testbed for Sustainable and Innovative Environments (ETSIE) using Fuzzy Cognitive Maps
Wolfgang Höhl
http://arxiv.org/abs/2101.07509v1
• [cs.CY]Computer Science Communities: Who is Speaking, and Who is Listening to the Women? Using an Ethics of Care to Promote Diverse Voices
Marc Cheong, Kobi Leins, Simon Coghlan
http://arxiv.org/abs/2101.07463v1
• [cs.CY]Data Protection Impact Assessment for the Corona App
Kirsten Bock, Christian R. Kühne, Rainer Mühlhoff, Měto R. Ost, Jörg Pohle, Rainer Rehak
http://arxiv.org/abs/2101.07292v1
• [cs.CY]Metadata Analysis of Open Educational Resources
Mohammadreza Tavakoli, Mirette Elias, Gábor Kismihók, Sören Auer
http://arxiv.org/abs/2101.07735v1
• [cs.DL]Characterizing References from Different Disciplines: A Perspective of Citation Content Analysis
Chengzhi Zhang, Lifan Liu, Yuzhuo Wang
http://arxiv.org/abs/2101.07614v1
• [cs.DS]Fast Distributed Algorithms for Girth, Cycles and Small Subgraphs
Keren Censor-Hillel, Orr Fischer, Tzlil Gonen, François Le Gall, Dean Leitersdorf, Rotem Oshman
http://arxiv.org/abs/2101.07590v1
• [cs.GT]Trading Transforms of Non-weighted Simple Games and Integer Weights of Weighted Simple Games
Akihiro Kawana, Tomomi Matsui
http://arxiv.org/abs/2101.07621v1
• [cs.HC]GO-Finder: A Registration-Free Wearable System for Assisting Users in Finding Lost Objects via Hand-Held Object Discovery
Takuma Yagi, Takumi Nishiyasu, Kunimasa Kawasaki, Moe Matsuki, Yoichi Sato
http://arxiv.org/abs/2101.07314v1
• [cs.HC]Work Online, Welfare Calls, and Wine Night: Effects of the COVID-19 Pandemic on Individuals’ Technology Use
Bill Tomlinson, Rebecca W. Black
http://arxiv.org/abs/2101.07388v1
• [cs.IR]A Comparison of Question Rewriting Methods for Conversational Passage Retrieval
Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu, Shayne Longpre
http://arxiv.org/abs/2101.07382v1
• [cs.IR]Chronological Citation Recommendation with Time Preference
Shutian Ma, Heng Zhang, Chengzhi Zhang, Xiaozhong Liu
http://arxiv.org/abs/2101.07609v1
• [cs.IR]Density-Ratio Based Personalised Ranking from Implicit Feedback
Riku Togashi, Masahiro Kato, Mayu Otani, Shin’ichi Satoh
http://arxiv.org/abs/2101.07481v1
• [cs.IT]A family of codes with locality containing optimal codes
Bruno Andrade, Cícero Carvalho, Victor G. L. Neumann, Antônio C. P. Veiga
http://arxiv.org/abs/2101.07629v1
• [cs.IT]Coverage Evaluation for 5G Reduced Capability New Radio (NR-RedCap)
Saeedeh Moloudi, Mohammad Mozaffari, Sandeep Narayanan Kadan Veedu, Kittipong Kittichokechai, Y. -P. Eric Wang, Johan Bergman, Andreas Höglund
http://arxiv.org/abs/2101.07310v1
• [cs.IT]Cross-Layer Network Codes for Content Delivery in Cache-Enabled D2D Networks
Mohammed S. Al-Abiad, Md. Zoheb Hassan, Md. Jahangir Hossain
http://arxiv.org/abs/2101.07291v1
• [cs.IT]Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles
Yue M. Lu
http://arxiv.org/abs/2101.07464v1
• [cs.IT]How Long to Estimate Sparse MIMO Channels
Yahia Shabara, C. Emre Koksal, Eylem Ekici
http://arxiv.org/abs/2101.07287v1
• [cs.IT]IRS-Empowered Wireless Communications: State-of-the-Art, Key Techniques, and Open Issues
Ming Zeng, Ebrahim Bedeer, Xingwang Li, Quoc-Viet Pham, Octavia A. Dobre, Paul Fortier, Leslie A. Rusch
http://arxiv.org/abs/2101.07394v1
• [cs.IT]Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao, Hua Sun
http://arxiv.org/abs/2101.07750v1
• [cs.IT]Max-Min Fairness Based on Cooperative-NOMA Clustering for Ultra-Reliable and Low-Latency Communications
Fateme Salehi, Naaser Neda, Mohammad-Hassan Majidi
http://arxiv.org/abs/2101.07641v1
• [cs.IT]Outage Probability of Uplink Cell-Free Massive MIMO Network with Imperfect CSI Using Dimension-Reduction Method
Shashank Shekhar, Muralikrishnan Srinivasan, Sheetal Kalyani
http://arxiv.org/abs/2101.07737v1
• [cs.IT]Semi-Blind Cascaded Channel Estimation for Reconfigurable Intelligent Surface Aided Massive MIMO
Zhen-Qing He, Hang Liu, Xiaojun Yuan, Ying-Jun Angela Zhang, Ying-Chang Liang
http://arxiv.org/abs/2101.07315v1
• [cs.IT]Single-RF Multi-User Communication Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis
Roy Karasik, Osvaldo Simeone, Marco Di Renzo, Shlomo Shamai
http://arxiv.org/abs/2101.07556v1
• [cs.IT]UAV-Enabled Cooperative Jamming for Covert Communications
Hangmei Rao, Sa Xiao, Jianquan Wang, Wanbin Tang
http://arxiv.org/abs/2101.07502v1
• [cs.LG]A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
Junteng Jia, Austin R. Benson
http://arxiv.org/abs/2101.07730v1
• [cs.LG]Accelerating Deep Learning Inference via Learned Caches
Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella
http://arxiv.org/abs/2101.07344v1
• [cs.LG]Benchmarking Perturbation-based Saliency Maps for Explaining Deep Reinforcement Learning Agents
Tobias Huber, Benedikt Limmer, Elisabeth André
http://arxiv.org/abs/2101.07312v1
• [cs.LG]Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
Adnan Qayyum, Kashif Ahmad, Muhammad Ahtazaz Ahsan, Ala Al-Fuqaha, Junaid Qadir
http://arxiv.org/abs/2101.07511v1
• [cs.LG]Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks
Peng Jiang, Masuma Akter Rumi
http://arxiv.org/abs/2101.07706v1
• [cs.LG]Continual Deterioration Prediction for Hospitalized COVID-19 Patients
Jiacheng Liu, Meghna Singh, Catherine ST. Hill, Vino Raj, Lisa Kirkland, Jaideep Srivastava
http://arxiv.org/abs/2101.07581v1
• [cs.LG]Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
Yuyang Wang, Zhonglin Cao, Amir Barati Farimani
http://arxiv.org/abs/2101.07399v1
• [cs.LG]Deep-Mobility: A Deep Learning Approach for an Efficient and Reliable 5G Handover
Rahul Arun Paropkari, Anurag Thantharate, Cory Beard
http://arxiv.org/abs/2101.06558v2
• [cs.LG]Determining Structural Properties of Artificial Neural Networks Using Algebraic Topology
David Pérez Fernández, Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marta Villegas
http://arxiv.org/abs/2101.07752v1
• [cs.LG]Disentangled Recurrent Wasserstein Autoencoder
Jun Han, Martin Renqiang Min, Ligong Han, Li Erran Li, Xuan Zhang
http://arxiv.org/abs/2101.07496v1
• [cs.LG]Does Continual Learning = Catastrophic Forgetting?
Anh Thai, Stefan Stojanov, Isaac Rehg, James M. Rehg
http://arxiv.org/abs/2101.07295v1
• [cs.LG]Dynamic Planning of Bicycle Stations in Dockless Public Bicycle-sharing System Using Gated Graph Neural Network
Jianguo Chen, Kenli Li, Keqin Li, Philip S. Yu, Zeng Zeng
http://arxiv.org/abs/2101.07425v1
• [cs.LG]ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning
Xingyou Song, Krzysztof Choromanski, Jack Parker-Holder, Yunhao Tang, Daiyi Peng, Deepali Jain, Wenbo Gao, Aldo Pacchiano, Tamas Sarlos, Yuxiang Yang
http://arxiv.org/abs/2101.07415v1
• [cs.LG]Edge-Featured Graph Attention Network
Jun Chen, Haopeng Chen
http://arxiv.org/abs/2101.07671v1
• [cs.LG]Few-Shot Bayesian Optimization with Deep Kernel Surrogates
Martin Wistuba, Josif Grabocka
http://arxiv.org/abs/2101.07667v1
• [cs.LG]GLocalX — From Local to Global Explanations of Black Box AI Models
Mattia Setzu, Riccardo Guidotti, Anna Monreale, Franco Turini, Dino Pedreschi, Fosca Giannotti
http://arxiv.org/abs/2101.07685v1
• [cs.LG]Guided parallelized stochastic gradient descent for delay compensation
Anuraganand Sharma
http://arxiv.org/abs/2101.07259v1
• [cs.LG]Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders
David K. Lim, Naim U. Rashid, Junier B. Oliva, Joseph G. Ibrahim
http://arxiv.org/abs/2101.07357v1
• [cs.LG]Image Denoising using Attention-Residual Convolutional Neural Networks
Rafael G. Pires, Daniel F. S. Santos, Marcos C. S. Santana, Claudio F. G. Santos, Joao P. Papa
http://arxiv.org/abs/2101.07713v1
• [cs.LG]Interpretable Models for Granger Causality Using Self-explaining Neural Networks
Ričards Marcinkevičs, Julia E. Vogt
http://arxiv.org/abs/2101.07600v1
• [cs.LG]Learnable Embedding Sizes for Recommender Systems
Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li
http://arxiv.org/abs/2101.07577v1
• [cs.LG]Learning over Families of Sets — Hypergraph Representation Learning for Higher Order Tasks
Balasubramaniam Srinivasan, Da Zheng, George Karypis
http://arxiv.org/abs/2101.07773v1
• [cs.LG]Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li, Songtao Liu, Jian Sun
http://arxiv.org/abs/2101.07525v1
• [cs.LG]On Dynamic Noise Influence in Differentially Private Learning
Junyuan Hong, Zhangyang Wang, Jiayu Zhou
http://arxiv.org/abs/2101.07413v1
• [cs.LG]Optimizing Hyperparameters in CNNs using Bilevel Programming in Time Series Data
Taniya Seth, Pranab K. Muhuri
http://arxiv.org/abs/2101.07492v1
• [cs.LG]PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator
Jiaheng Wei, Minghao Liu, Jiahao Luo, Qiutong Li, James Davis, Yang Liu
http://arxiv.org/abs/2101.07524v1
• [cs.LG]Submodular Maximization via Taylor Series Approximation
Gözde Özcan, Armin Moharrer, Stratis Ioannidis
http://arxiv.org/abs/2101.07423v1
• [cs.LG]Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou
http://arxiv.org/abs/2101.07361v1
• [cs.NE]A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems
An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du
http://arxiv.org/abs/2101.07430v1
• [cs.NE]A synthetic biology approach for the design of genetic algorithms with bacterial agents
A. Gargantilla Becerra, M. Gutiérrez, R. Lahoz-Beltra
http://arxiv.org/abs/2101.07540v1
• [cs.NE]Self-Organizing Intelligent Matter: A blueprint for an AI generating algorithm
Karol Gregor, Frederic Besse
http://arxiv.org/abs/2101.07627v1
• [cs.NE]Synaptic metaplasticity in binarized neural networks
Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz
http://arxiv.org/abs/2101.07592v1
• [cs.RO]COTORRA: COntext-aware Testbed fOR Robotic Applications
Milan Groshev, Jorge Martín-Pérez, Kiril Antevski, Antonio de la Oliva, Carlos J. Bernardos
http://arxiv.org/abs/2101.07676v1
• [cs.RO]Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
Timothée Anne, Jack Wilkinson, Zhibin Li
http://arxiv.org/abs/2101.07599v1
• [cs.RO]Mirror-Descent Inverse Kinematics for Box-constrained Joint Space
Taisuke Kobayashi
http://arxiv.org/abs/2101.07625v1
• [cs.RO]Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping
S. K. Paul, M. T. Chowdhury, M. Nicolescu, M. Nicolescu
http://arxiv.org/abs/2101.07347v1
• [cs.RO]Practical Distributed Control for VTOL UAVs to Pass a Tunnel
Quan Quan, Rao Fu, Mengxin Li, Donghui Wei, Yan Gao, Kai-Yuan Cai
http://arxiv.org/abs/2101.07578v1
• [cs.RO]Swarm Herding: A Leader-Follower Framework For Multi-Robot Navigation
Xiaotian Xu, Yancy Diaz-Mercado
http://arxiv.org/abs/2101.07416v1
• [cs.RO]The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception
Alexis E. Block, Sammy Christen, Roger Gassert, Otmar Hilliges, Katherine J. Kuchenbecker
http://arxiv.org/abs/2101.07679v1
• [cs.RO]Towards Latent Space Based Manipulation of Elastic Rods using Autoencoder Models and Robust Centerline Extractions
Jiaming Qi, Guangfu Ma, David Navarro-Alarcon, Haibo Zhang, Yueyong Lyu
http://arxiv.org/abs/2101.07513v1
• [cs.SD]A framework to compare music generative models using automatic evaluation metrics extended to rhythm
Sebastian Garcia-Valencia, Alejandro Betancourt, Juan G. Lalinde-Pulido
http://arxiv.org/abs/2101.07669v1
• [cs.SI]Analysis of Moral Judgement on Reddit
Nicholas Botzer, Shawn Gu, Tim Weninger
http://arxiv.org/abs/2101.07664v1
• [cs.SI]Centrality with Diversity
Liang Lyu, Brandon Fain, Kamesh Munagala, Kangning Wang
http://arxiv.org/abs/2101.07371v1
• [cs.SI]CoVaxxy: A global collection of English Twitter posts about COVID-19 vaccines
Matthew DeVerna, Francesco Pierri, Bao Truong, John Bollenbacher, David Axelrod, Niklas Loynes, Cristopher Torres-Lugo, Kai-Cheng Yang, Fil Menczer, John Bryden
http://arxiv.org/abs/2101.07694v1
• [cs.SI]DeepTrust: A Deep Learning Approach for Measuring Social Media Users Trustworthiness
Majed Alrubaian, Muhammad Al-Qurishi, Sherif Omar, Mohamed A. Mostafa
http://arxiv.org/abs/2101.07725v1
• [cs.SI]How Do Hyperedges Overlap in Real-World Hypergraphs? — Patterns, Measures, and Generators
Geon Lee, Minyoung Choe, Kijung Shin
http://arxiv.org/abs/2101.07480v1
• [econ.GN]The fiscal response to revenue shocks
Simon Berset, Martin Huber, Mark Schelker
http://arxiv.org/abs/2101.07661v1
• [econ.GN]Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study
Tiziana Carpi, Airo Hino, Stefano Maria Iacus, Giuseppe Porro
http://arxiv.org/abs/2101.07695v1
• [eess.IV]A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction
Yitong Liu, Ken Deng, Chang Sun, Hongwen Yang
http://arxiv.org/abs/2101.07613v1
• [eess.IV]A survey on shape-constraint deep learning for medical image segmentation
Simon Bohlender, Ilkay Oksuz, Anirban Mukhopadhyay
http://arxiv.org/abs/2101.07721v1
• [eess.IV]COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning
Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong
http://arxiv.org/abs/2101.07433v1
• [eess.IV]Comparative Evaluation of 3D and 2D Deep Learning Techniques for Semantic Segmentation in CT Scans
Abhishek Shivdeo, Rohit Lokwani, Viraj Kulkarni, Amit Kharat, Aniruddha Pant
http://arxiv.org/abs/2101.07612v1
• [eess.IV]Deep Learning Models for Calculation of Cardiothoracic Ratio from Chest Radiographs for Assisted Diagnosis of Cardiomegaly
Tanveer Gupte, Mrunmai Niljikar, Manish Gawali, Viraj Kulkarni, Amit Kharat, Aniruddha Pant
http://arxiv.org/abs/2101.07606v1
• [eess.IV]Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography
Khalid L. Alsamadony, Ertugrul U. Yildirim, Guenther Glatz, Umair bin Waheed, Sherif M. Hanafy
http://arxiv.org/abs/2101.07376v1
• [eess.IV]Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection
Trevor Doherty, Susan McKeever, Nebras Al-Attar, Tiarnan Murphy, Claudia Aura, Arman Rahman, Amanda O’Neill, Stephen P Finn, Elaine Kay, William M. Gallagher, R. William G. Watson, Aoife Gowen, Patrick Jackman
http://arxiv.org/abs/2101.07342v1
• [eess.IV]Magnification Generalization for Histopathology Image Embedding
Milad Sikaroudi, Benyamin Ghojogh, Fakhri Karray, Mark Crowley, H. R. Tizhoosh
http://arxiv.org/abs/2101.07757v1
• [eess.IV]Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms
David Bouget, André Pedersen, Sayied Abdol Mohieb Hosainey, Ole Solheim, Ingerid Reinertsen
http://arxiv.org/abs/2101.07715v1
• [eess.IV]Multi-target detection with rotations
Tamir Bendory, Ti-Yen Lan, Nicholas F. Marshall, Iris Rukshin, Amit Singer
http://arxiv.org/abs/2101.07709v1
• [eess.IV]Predicting Pneumonia and Region Detection from X-Ray Images using Deep Neural Network
Sheikh Md Hanif Hossain, S M Raju, Amelia Ritahani Ismail
http://arxiv.org/abs/2101.07717v1
• [eess.IV]Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information
Ken Deng, Chang Sun, Yitong Liu, Hongwen Yang
http://arxiv.org/abs/2101.07594v1
• [eess.IV]Unsupervised Domain Adaptation from Axial toShort-Axis Multi-Slice Cardiac MR Images byIncorporating Pretrained Task Networks
Sven Koehler, Tarique Hussain, Zach Blair, Tyler Huffaker, Florian Ritzmann, Animesh Tandon, Thomas Pickardt, Samir Sarikouch, Heiner Latus, Gerald Greil, Ivo Wolf, Sandy Engelhardt
http://arxiv.org/abs/2101.07653v1
• [eess.IV]Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
Kathryn Schutte, Olivier Moindrot, Paul Hérent, Jean-Baptiste Schiratti, Simon Jégou
http://arxiv.org/abs/2101.07563v1
• [eess.IV]Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
Shawn Mathew, Saad Nadeem, Arie Kaufman
http://arxiv.org/abs/2101.07280v1
• [eess.SP]Electrocardiogram Classification and Visual Diagnosis of Atrial Fibrillation with DenseECG
Dacheng Chen, Dan Li, Xiuqin Xu, Ruizhi Yang, See-Kiong Ng
http://arxiv.org/abs/2101.07535v1
• [math.CO]Can smooth graphons in several dimensions be represented by smooth graphons on ?**
Svante Janson, Sofia Olhede
http://arxiv.org/abs/2101.07587v1
• [math.OC]TREGO: a Trust-Region Framework for Efficient Global Optimization
Youssef Diouane, Victor Picheny, Rodolphe Le Riche, Alexandre Scotto Di Perrotolo
http://arxiv.org/abs/2101.06808v2
• [math.ST]Asymptotic behavior of the number of distinct values in a sample from the geometric stick-breaking process
Pierpaolo De Blasi, Ramsés H. Mena, Igor Prünster
http://arxiv.org/abs/2101.07607v1
• [math.ST]Exchangeable Bernoulli distributions: high dimensional simulation, estimate and testing
Roberto Fontana, Patrizia Semeraro
http://arxiv.org/abs/2101.07693v1
• [math.ST]Sequential causal inference in a single world of connected units
Aurelien Bibaut, Maya Petersen, Nikos Vlassis, Maria Dimakopoulou, Mark van der Laan
http://arxiv.org/abs/2101.07380v1
• [physics.data-an]E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
Benjamin Nachman, Jesse Thaler
http://arxiv.org/abs/2101.07263v1
• [q-bio.QM]Clustering Future Scenarios Based on Predicted Range Maps
Matthew Davidow, Cory Merow, Judy Che-Castaldo, Toryn Schafer, Marie-Christine Duker, Derek Corcoran, David Matteson
http://arxiv.org/abs/2101.07408v1
• [quant-ph]Quantum Permutation Synchronization
Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas Guibas
http://arxiv.org/abs/2101.07755v1
• [stat.AP]A note on the g and h control charts
Chanseok Park, Min Wang
http://arxiv.org/abs/2101.07575v1
• [stat.AP]A sampling algorithm to compute the set of feasible solutions for non-negative matrix factorization with an arbitrary rank
Ragnhild Laursen, Asger Hobolth
http://arxiv.org/abs/2101.07526v1
• [stat.AP]An Interpretable Intensive Care Unit Mortality Risk Calculator
Eugene T. Y. Ang, Milashini Nambiar, Yong Sheng Soh, Vincent Y. F. Tan
http://arxiv.org/abs/2101.07426v1
• [stat.AP]Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects
Judy P. Che-Castaldo, Rémi Cousin, Stefani Daryanto, Grace Deng, Mei-Ling E. Feng, Rajesh K. Gupta, Dezhi Hong, Ryan M. McGranaghan, Olukunle O. Owolabi, Tianyi Qu, Wei Ren, Toryn L. J. Schafer, Ashutosh Sharma, Chaopeng Shen, Mila Getmansky Sherman, Deborah A. Sunter, Lan Wang, David S. Matteson
http://arxiv.org/abs/2101.07771v1
• [stat.AP]Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis
Maria Thurow, Florian Dumpert, Burim Ramosaj, Markus Pauly
http://arxiv.org/abs/2101.07532v1
• [stat.AP]Optimal sampling and assay for soil organic carbon estimation
Jacob V Spertus
http://arxiv.org/abs/2101.07398v1
• [stat.AP]Powering population health research: Considerations for plausible and actionable effect sizes
Ellicott C. Matthay, Erin Hagan, Laura M. Gottlieb, May Lynn Tan, David Vlahov, Nancy Adler, M. Maria Glymour
http://arxiv.org/abs/2101.07392v1
• [stat.ME]Detecting differentially methylated regions in bisulfite sequencing data using quasi-binomial mixed models with smooth covariate effect estimates
Kaiqiong Zhao, Karim Oualkacha, Lajmi Lakhal-Chaieb, Aurélie Labbe, Kathleen Klein, Sasha Bernatsky, Marie Hudson, Inés Colmegna, Celia M. T. Greenwood
http://arxiv.org/abs/2101.07374v1
• [stat.ME]Firth’s logistic regression with rare events: accurate effect estimates AND predictions?
Rainer Puhr, Georg Heinze, Mariana Nold, Lara Lusa, Angelika Geroldinger
http://arxiv.org/abs/2101.07620v1
• [stat.ME]Novel Bayesian Procrustes Variance-based Inferences in Geometric Morphometrics & Novel R package: BPviGM1
Debashis Chatterjee
http://arxiv.org/abs/2101.06494v2
• [stat.ME]On resampling methods for model assessment in penalized and unpenalized logistic regression
Angelika Geroldinger, Lara Lusa, Mariana Nold, Georg Heinze
http://arxiv.org/abs/2101.07640v1
• [stat.ME]Quantifying Uncertainty in Infectious Disease Mechanistic Models
Lucy D’Agostino McGowan, Kyra H. Grantz, Eleanor Murray
http://arxiv.org/abs/2101.07329v1
• [stat.ME]Robust Bayesian Inference for Big Data: Combining Sensor-based Records with Traditional Survey Data
Ali Rafei, Carol A. C. Flannagan, Brady T. West, Michael R. Elliott
http://arxiv.org/abs/2101.07456v1
• [stat.ME]Selection of Summary Statistics for Network Model Choice with Approximate Bayesian Computation
Louis Raynal, Jukka-Pekka Onnela
http://arxiv.org/abs/2101.07766v1
• [stat.ME]Sequential Bayesian Risk Set Inference for Robust Discrete Optimization via Simulation
Eunhye Song
http://arxiv.org/abs/2101.07466v1
• [stat.ME]Testing Simultaneous Diagonalizability
Yuchen Xu, Marie-Christine Düker, David S. Matteson
http://arxiv.org/abs/2101.07776v1
• [stat.ME]The effect of Hybrid Principal Components Analysis on the Signal Compression Functional Regression: With EEG-fMRI Application
Mohammad Fayaz, Alireza Abadi, Soheila Khodakarim
http://arxiv.org/abs/2101.07710v1
• [stat.ME]Variable Selection in Regression-based Estimation of Dynamic Treatment Regimes
Zeyu Bian, Erica EM Moodie, Susan M Shortreed, Sahir Bhatnagar
http://arxiv.org/abs/2101.07359v1
• [stat.ML]Analysis and tuning of hierarchical topic models based on Renyi entropy approach
Sergei Koltcov, Vera Ignatenko, Maxim Terpilovskii, Paolo Rosso
http://arxiv.org/abs/2101.07598v1
• [stat.ML]Consistency of random-walk based network embedding algorithms
Yichi Zhang, Minh Tang
http://arxiv.org/abs/2101.07354v1
• [stat.ML]Minimax Off-Policy Evaluation for Multi-Armed Bandits
Cong Ma, Banghua Zhu, Jiantao Jiao, Martin J. Wainwright
http://arxiv.org/abs/2101.07781v1
• [stat.ML]Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy
Luc Pronzato
http://arxiv.org/abs/2101.07564v1
• [stat.ML]Utilizing Import Vector Machines to Identify Dangerous Pro-active Traffic Conditions
Kui Yang, Wenjing Zhao, Constantinos Antoniou
http://arxiv.org/abs/2101.07683v1
• [stat.ML]Variance Based Samples Weighting for Supervised Deep Learning
Paul Novello, Gaël Poëtte, David Lugato, Pietro Congedo
http://arxiv.org/abs/2101.07561v1
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