cs.AI - 人工智能

    cs.CL - 计算与语言

    cs.CR - 加密与安全

    cs.CV - 机器视觉与模式识别

    cs.CY - 计算与社会

    cs.DC - 分布式、并行与集群计算

    cs.HC - 人机接口

    cs.IR - 信息检索

    cs.IT - 信息论

    cs.LG - 自动学习

    cs.MA - 多代理系统

    cs.MM - 多媒体

    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.SE - 软件工程

    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

    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.soc-ph - 物理学与社会

    q-bio.OT - 其他定量生物学

    q-fin.PM - 投资组合管理

    stat.AP - 应用统计

    stat.ME - 统计方法论

    stat.ML - (统计)机器学习

    • [cs.AI]Constructing a personalized learning path using genetic algorithms approach

    • [cs.AI]Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI

    • [cs.AI]Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System

    • [cs.AI]Secure Artificial Intelligence of Things for Implicit Group Recommendations

    • [cs.CL]BERT-CoQAC: BERT-based Conversational Question Answering in Context

    • [cs.CL]Claim Detection in Biomedical Twitter Posts

    • [cs.CL]Deep learning for sentence clustering in essay grading support

    • [cs.CL]Earnings-21: A Practical Benchmark for ASR in the Wild

    • [cs.CL]Evaluating Deception Detection Model Robustness To Linguistic Variation

    • [cs.CL]LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

    • [cs.CL]Learning to Learn to be Right for the Right Reasons

    • [cs.CL]Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection

    • [cs.CL]Optimizing small BERTs trained for German NER

    • [cs.CL]QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification

    • [cs.CL]Transfer training from smaller language model

    • [cs.CL]Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis

    • [cs.CL]Weakly-supervised Multi-task Learning for Multimodal Affect Recognition

    • [cs.CR]Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation

    • [cs.CR]Literature review on vulnerability detection using NLP technology

    • [cs.CV]A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems

    • [cs.CV]AttWalk: Attentive Cross-Walks for Deep Mesh Analysis

    • [cs.CV]CapillaryNet: An Automated System to Analyze Microcirculation Videos from Handheld Vital Microscopy

    • [cs.CV]Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches

    • [cs.CV]DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking

    • [cs.CV]DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning

    • [cs.CV]Eigenbackground Revisited: Can We Model the Background with Eigenvectors?

    • [cs.CV]Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms

    • [cs.CV]Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification

    • [cs.CV]Fine-Grained Texture Identification for Reliable Product Traceability

    • [cs.CV]H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry

    • [cs.CV]H2O: A Benchmark for Visual Human-human Object Handover Analysis

    • [cs.CV]Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images

    • [cs.CV]Learnable Online Graph Representations for 3D Multi-Object Tracking

    • [cs.CV]Learning to Cluster Faces via Transformer

    • [cs.CV]Low Pass Filter for Anti-aliasing in Temporal Action Localization

    • [cs.CV]MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance

    • [cs.CV]Middle-level Fusion for Lightweight RGB-D Salient Object Detection

    • [cs.CV]Modeling long-term interactions to enhance action recognition

    • [cs.CV]Motion Representations for Articulated Animation

    • [cs.CV]Online recognition of unsegmented actions with hierarchical SOM architecture

    • [cs.CV]Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

    • [cs.CV]Region-Adaptive Deformable Network for Image Quality Assessment

    • [cs.CV]STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains

    • [cs.CV]Safe Fakes: Evaluating Face Anonymizers for Face Detectors

    • [cs.CV]Sequential convolutional network for behavioral pattern extraction in gait recognition

    • [cs.CV]Skeletor: Skeletal Transformers for Robust Body-Pose Estimation

    • [cs.CV]Sketch-based Normal Map Generation with Geometric Sampling

    • [cs.CV]Skip-Convolutions for Efficient Video Processing

    • [cs.CV]SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos

    • [cs.CV]Stroke-Based Scene Text Erasing Using Synthetic Data

    • [cs.CV]Supervised Video Summarization via Multiple Feature Sets with Parallel Attention

    • [cs.CV]TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection

    • [cs.CV]VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution

    • [cs.CV]VidTr: Video Transformer Without Convolutions

    • [cs.CY]”I’m a Professor, which isn’t usually a dangerous job”: Internet-Facilitated Harassment and its Impact on Researchers

    • [cs.CY]How to help university students to manage their interruptions and improve their attention and time management

    • [cs.DC]Decentralized Federated Averaging

    • [cs.DC]In-Situ Assessment of Device-Side Compute Work for Dynamic Load Balancing in a GPU-Accelerated PIC Code

    • [cs.DC]Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities

    • [cs.DC]Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap

    • [cs.DC]tcFFT: Accelerating Half-Precision FFT through Tensor Cores

    • [cs.HC]Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework

    • [cs.IR]APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization

    • [cs.IR]Tablext: A Combined Neural Network And Heuristic Based Table Extractor

    • [cs.IT]AFDM: A Full Diversity Next Generation Waveform for High Mobility Communications

    • [cs.IT]Impact of Channel Aging on Cell-Free Massive MIMO Over Spatially Correlated Channels

    • [cs.IT]Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex with Limited Dynamic Range

    • [cs.IT]UAV Communications with WPT-aided Cell-Free Massive MIMO Systems

    • [cs.LG]A Framework for Recognizing and Estimating Human Concentration Levels

    • [cs.LG]A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities

    • [cs.LG]A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control

    • [cs.LG]A modularity comparison of Long Short-Term Memory and Morphognosis neural networks

    • [cs.LG]A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning

    • [cs.LG]Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

    • [cs.LG]Carbon Emissions and Large Neural Network Training

    • [cs.LG]DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies

    • [cs.LG]Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection

    • [cs.LG]Exact priors of finite neural networks

    • [cs.LG]Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery

    • [cs.LG]GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits

    • [cs.LG]Inductive biases and Self Supervised Learning in modelling a physical heating system

    • [cs.LG]Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy

    • [cs.LG]Inter-choice dependent super-network weights

    • [cs.LG]Knodle: Modular Weakly Supervised Learning with PyTorch

    • [cs.LG]Learning phylogenetic trees as hyperbolic point configurations

    • [cs.LG]Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy

    • [cs.LG]On Geodesic Distances and Contextual Embedding Compression for Text Classification

    • [cs.LG]Robust Federated Learning by Mixture of Experts

    • [cs.LG]SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics

    • [cs.LG]Safe Chance Constrained Reinforcement Learning for Batch Process Control

    • [cs.LG]Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems

    • [cs.LG]Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks

    • [cs.LG]Time Series Forecasting via Learning Convolutionally Low-Rank Models

    • [cs.LG]Unsupervised Information Obfuscation for Split Inference of Neural Networks

    • [cs.MA]Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL

    • [cs.MM]The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System

    • [cs.NE]Learning in Deep Neural Networks Using a Biologically Inspired Optimizer

    • [cs.NI]SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks

    • [cs.RO]Accuracy and precision: a new view on kinematic assessment of solid-state hinges and compliant mechanisms

    • [cs.RO]Automatic Grasp Pose Generation for Parallel Jaw Grippers

    • [cs.RO]Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data

    • [cs.RO]Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation

    • [cs.RO]Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Activ

    78b

    e Vision Methods

    • [cs.RO]Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research

    • [cs.RO]OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation

    • [cs.RO]Optimal Cost Design for Model Predictive Control

    • [cs.RO]Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images

    • [cs.RO]Speed Planning Using Bezier Polynomials with Trapezoidal Corridors

    • [cs.SD]3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces

    • [cs.SD]Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation

    • [cs.SD]Deep Learning Based Assessment of Synthetic Speech Naturalness

    • [cs.SD]DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data

    • [cs.SD]Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification

    • [cs.SD]Restoring degraded speech via a modified diffusion model

    • [cs.SE]Structuring and presenting data for testing of automotive electronics to reduce effort during decision making

    • [cs.SI]Estimating the Number of HIV+ Latino MSM Using RDS, SS-PSE, and the Census

    • [cs.SI]Low Complex, Narrowband-Interference Robust Synchronization for NC-OFDM Cognitive Radio

    • [cs.SI]Mutual Hyperlinking Among Misinformation Peddlers

    • [cs.SI]Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks

    • [econ.GN]Managing mental & psychological wellbeing amidst COVID-19 pandemic: Positive psychology interventions

    • [eess.IV]Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction

    • [eess.IV]Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning

    • [eess.IV]Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid

    • [eess.SP]Antenna Efficiency in Massive MIMO Detection

    • [eess.SP]Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems

    • [eess.SP]Probabilistic Rainfall Estimation from Automotive Lidar

    • [eess.SY]Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

    • [math.OC]A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization

    • [math.OC]Connecting Hamilton—Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors

    • [math.ST]A calculus for causal inference with instrumental variables

    • [math.ST]Bayesian predictive inference without a prior

    • [math.ST]Change point inference in ergodic diffusion processes based on high frequency data

    • [math.ST]Learning to reflect: A unifying approach for data-driven stochastic control strategies

    • [math.ST]Transitional Conditional Independence

    • [physics.flu-dyn]Consistent and symmetry preserving data-driven interface reconstruction for the level-set method

    • [physics.soc-ph]Evolutionary game model of risk propensity in group decision making

    • [q-bio.OT]A field guide to cultivating computational biology

    • [q-fin.PM]Dynamic investment portfolio optimization using a Multivariate Merton Model with Correlated Jump Risk

    • [stat.AP]A Gaussian Process Model of Cross-Category Dynamics in Brand Choice

    • [stat.AP]Data filtering methods for SARS-CoV-2 wastewater surveillance

    • [stat.AP]Establishing phone-pair co-usage by comparing mobility patterns

    • [stat.AP]Extending the Heston Model to Forecast Motor Vehicle Collision Rates

    • [stat.AP]Heterogeneous item populations across individuals: Consequences for the factor model, item inter-correlations, and scale validity

    • [stat.AP]Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering

    • [stat.AP]Stochastic modeling of in vitro bactericidal potency

    • [stat.ME]Asymptotic Incidence Rate estimation of SARS-COVID-19 via a Polya process scheme: a comparative analysis in Italy and European Countries

    • [stat.ME]Inferring medication adherence from time-varying health measures

    • [stat.ME]Joint Mean-Vector and Var-Matrix estimation for Locally Stationary VAR(1) processes

    • [stat.ME]Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support

    • [stat.ME]PROFIT: Projection-based Test in Longitudinal Functional Data

    • [stat.ME]Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters

    • [stat.ML]Grouped Feature Importance and Combined Features Effect Plot

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

    • [cs.AI]Constructing a personalized learning path using genetic algorithms approach

    Lumbardh Elshani, Krenare Pireva Nuçi

    http://arxiv.org/abs/2104.11276v1

    • [cs.AI]Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI

    Michael Timothy Bennett, Yoshihiro Maruyama

    http://arxiv.org/abs/2104.11573v1

    • [cs.AI]Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System

    Cheng Luo, Jiancheng Lv

    http://arxiv.org/abs/2104.11454v1

    • [cs.AI]Secure Artificial Intelligence of Things for Implicit Group Recommendations

    Keping Yu, Zhiwei Guo, Yu Shen, Wei Wang, Jerry Chun-Wei Lin, Takuro Sato

    http://arxiv.org/abs/2104.11699v1

    • [cs.CL]BERT-CoQAC: BERT-based Conversational Question Answering in Context

    Munazza Zaib, Dai Hoang Tran, Subhash Sagar, Adnan Mahmood, Wei E. Zhang, Quan Z. Sheng

    http://arxiv.org/abs/2104.11394v1

    • [cs.CL]Claim Detection in Biomedical Twitter Posts

    Amelie Wührl, Roman Klinger

    http://arxiv.org/abs/2104.11639v1

    • [cs.CL]Deep learning for sentence clustering in essay grading support

    Li-Hsin Chang, Iiro Rastas, Sampo Pyysalo, Filip Ginter

    http://arxiv.org/abs/2104.11556v1

    • [cs.CL]Earnings-21: A Practical Benchmark for ASR in the Wild

    Miguel Del Rio, Natalie Delworth, Ryan Westerman, Michelle Huang, Nishchal Bhandari, Joseph Palakapilly, Quinten McNamara, Joshua Dong, Piotr Zelasko, Miguel Jette

    http://arxiv.org/abs/2104.11348v1

    • [cs.CL]Evaluating Deception Detection Model Robustness To Linguistic Variation

    Maria Glenski, Ellyn Ayton, Robin Cosbey, Dustin Arendt, Svitlana Volkova

    http://arxiv.org/abs/2104.11729v1

    • [cs.CL]LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

    Solene Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Esteve, Benjamin Lecouteux, Francois Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

    http://arxiv.org/abs/2104.11462v1

    • [cs.CL]Learning to Learn to be Right for the Right Reasons

    Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui

    http://arxiv.org/abs/2104.11514v1

    • [cs.CL]Multimodal Fusion with BERT and Attention Mechanism for Fake News Detection

    Nguyen Manh Duc Tuan, Pham Quang Nhat Minh

    http://arxiv.org/abs/2104.11476v1

    • [cs.CL]Optimizing small BERTs trained for German NER

    Jochen Zöllner, Konrad Sperfeld, Christoph Wick, Roger Labahn

    http://arxiv.org/abs/2104.11559v1

    • [cs.CL]QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification

    Xia Zeng, Arkaitz Zubiaga

    http://arxiv.org/abs/2104.11572v1

    • [cs.CL]Transfer training from smaller language model

    Han Zhang

    http://arxiv.org/abs/2104.11390v1

    • [cs.CL]Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis

    Glorianna Jagfeld, Fiona Lobban, Paul Rayson, Steven H. Jones

    http://arxiv.org/abs/2104.11612v1

    • [cs.CL]Weakly-supervised Multi-task Learning for Multimodal Affect Recognition

    Wenliang Dai, Samuel Cahyawijaya, Yejin Bang, Pascale Fung

    http://arxiv.org/abs/2104.11560v1

    • [cs.CR]Automating Cyber Threat Hunting Using NLP, Automated Query Generation, and Genetic Perturbation

    Prakruthi Karuna, Erik Hemberg, Una-May O’Reilly, Nick Rutar

    http://arxiv.org/abs/2104.11576v1

    • [cs.CR]Literature review on vulnerability detection using NLP technology

    Jiajie Wu

    http://arxiv.org/abs/2104.11230v1

    • [cs.CV]A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems

    Patrick Zschech, Jannis Walk, Kai Heinrich, Michael Vössing, Niklas Kühl

    http://arxiv.org/abs/2104.11600v1

    • [cs.CV]AttWalk: Attentive Cross-Walks for Deep Mesh Analysis

    Ran Ben Izhak, Alon Lahav, Ayellet Tal

    http://arxiv.org/abs/2104.11571v1

    • [cs.CV]CapillaryNet: An Automated System to Analyze Microcirculation Videos from Handheld Vital Microscopy

    Maged Helmy, Anastasiya Dykyy, Tuyen Trung Truong, Paulo Ferreira, Eric Jul

    http://arxiv.org/abs/2104.11574v1

    • [cs.CV]Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches

    Jose L. Gómez, Gabriel Villalonga, Antonio M. López

    http://arxiv.org/abs/2104.11619v1

    • [cs.CV]DeepMix: Online Auto Data Augmentation for Robust Visual Object Tracking

    Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao

    http://arxiv.org/abs/2104.11585v1

    • [cs.CV]DeepfakeUCL: Deepfake Detection via Unsupervised Contrastive Learning

    Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li

    http://arxiv.org/abs/2104.11507v1

    • [cs.CV]Eigenbackground Revisited: Can We Model the Background with Eigenvectors?

    Mahmood Amintoosi, Farzam Farbiz

    http://arxiv.org/abs/2104.11379v1

    • [cs.CV]Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms

    Andrew K. Saydjari, Douglas P. Finkbeiner

    http://arxiv.org/abs/2104.11244v1

    • [cs.CV]Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification

    Nianchang Huang, Jianan Liu, Qiang Zhang, Jungong Han

    http://arxiv.org/abs/2104.11539v1

    • [cs.CV]Fine-Grained Texture Identification for Reliable Product Traceability

    Junsong Wang, Yubo Li, Zhiyong Chang, Haitao Yue, Yonghua Lin

    http://arxiv.org/abs/2104.11548v1

    • [cs.CV]H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry

    Baoru Huang, Jian-Qing Zheng, Stamatia Giannarou, Daniel S. Elson

    http://arxiv.org/abs/2104.11288v1

    • [cs.CV]H2O: A Benchmark for Visual Human-human Object Handover Analysis

    Ruolin Ye, Wenqiang Xu, Zhendong Xue, Tutian Tang, Yanfeng Wang, Cewu Lu

    http://arxiv.org/abs/2104.11466v1

    • [cs.CV]Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images

    Rohan Wadhawan, Tapan K. Gandhi

    http://arxiv.org/abs/2104.11274v1

    • [cs.CV]Learnable Online Graph Representations for 3D Multi-Object Tracking

    Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool

    http://arxiv.org/abs/2104.11747v1

    • [cs.CV]Learning to Cluster Faces via Transformer

    Jinxing Ye, Xioajiang Peng, Baigui Sun, Kai Wang, Xiuyu Sun, Hao Li, Hanqing Wu

    http://arxiv.org/abs/2104.11502v1

    • [cs.CV]Low Pass Filter for Anti-aliasing in Temporal Action Localization

    Cece Jin, Yuanqi Chen, Ge Li, Tao Zhang, Thomas Li

    http://arxiv.org/abs/2104.11403v1

    • [cs.CV]MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance

    Roberto Olmos, Siham Tabik, Francisco Perez-Hernandez, Alberto Lamas, Francisco Herrera

    http://arxiv.org/abs/2104.11653v1

    • [cs.CV]Middle-level Fusion for Lightweight RGB-D Salient Object Detection

    Nianchang Huang, Qiang Zhang, Jungong Han

    http://arxiv.org/abs/2104.11543v1

    • [cs.CV]Modeling long-term interactions to enhance action recognition

    Alejandro Cartas, Petia Radeva, Mariella Dimiccoli

    http://arxiv.org/abs/2104.11520v1

    • [cs.CV]Motion Representations for Articulated Animation

    Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren, Menglei Chai, Sergey Tulyakov

    http://arxiv.org/abs/2104.11280v1

    • [cs.CV]Online recognition of unsegmented actions with hierarchical SOM architecture

    Zahra Gharaee

    http://arxiv.org/abs/2104.11637v1

    • [cs.CV]Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

    Wu Liu, Qian Bao, Yu Sun, Tao Mei

    http://arxiv.org/abs/2104.11536v1

    • [cs.CV]Region-Adaptive Deformable Network for Image Quality Assessment

    Shuwei Shi, Qingyan Bai, Mingdeng Cao, Weihao Xia, Jiahao Wang, Yifan Chen, Yujiu Yang

    http://arxiv.org/abs/2104.11599v1

    • [cs.CV]STRUDEL: Self-Training with Uncertainty Dependent Label Refinement across Domains

    Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger

    http://arxiv.org/abs/2104.11596v1

    • [cs.CV]Safe Fakes: Evaluating Face Anonymizers for Face Detectors

    Sander R. Klomp, Matthew van Rijn, Rob G. J. Wijnhoven, Cees G. M. Snoek, Peter H. N. de With

    http://arxiv.org/abs/2104.11721v1

    • [cs.CV]Sequential convolutional network for behavioral pattern extraction in gait recognition

    Xinnan Ding, Kejun Wang, Chenhui Wang, Tianyi Lan, Liangliang Liu

    http://arxiv.org/abs/2104.11473v1

    • [cs.CV]Skeletor: Skeletal Transformers for Robust Body-Pose Estimation

    Tao Jiang, Necati Cihan Camgoz, Richard Bowden

    http://arxiv.org/abs/2104.11712v1

    • [cs.CV]Sketch-based Normal Map Generation with Geometric Sampling

    Yi He, Haoran Xie, Chao Zhang, Xi Yang, Kazunori Miyata

    http://arxiv.org/abs/2104.11554v1

    • [cs.CV]Skip-Convolutions for Efficient Video Processing

    Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi

    http://arxiv.org/abs/2104.11487v1

    • [cs.CV]SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos

    Xin Chen, Anqi Pang, Wei Yang, Yuexin Ma, Lan Xu, Jingyi Yu

    http://arxiv.org/abs/2104.11452v1

    • [cs.CV]Stroke-Based Scene Text Erasing Using Synthetic Data

    Zhengmi Tang, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi

    http://arxiv.org/abs/2104.11493v1

    • [cs.CV]Supervised Video Summarization via Multiple Feature Sets with Parallel Attention

    Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth

    http://arxiv.org/abs/2104.11530v1

    • [cs.CV]TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection

    Beomyoung Kim, Janghyeon Lee, Sihaeng Lee, Doyeon Kim, Junmo Kim

    http://arxiv.org/abs/2104.11435v1

    • [cs.CV]VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution

    Tekin Evrim Ozmermer, Viktors Roze, Stanislavs Hilcuks, Alina Nescerecka

    http://arxiv.org/abs/2104.11231v1

    • [cs.CV]VidTr: Video Transformer Without Convolutions

    Xinyu Li, Yanyi Zhang, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe

    http://arxiv.org/abs/2104.11746v1

    • [cs.CY]“I’m a Professor, which isn’t usually a dangerous job”: Internet-Facilitated Harassment and its Impact on Researchers

    Periwinkle Doerfler, Andrea Forte, Emiliano De Cristofaro, Gianluca Stringhini, Jeremy Blackburn, Damon McCoy

    http://arxiv.org/abs/2104.11145v2

    • [cs.CY]How to help university students to manage their interruptions and improve their attention and time management

    Aurora Vizcaíno, Ignacio García-Rodríguez de Guzmán, Antonio Manjavacas, Félix García, José A. Cruz-Lemus, Manuel Ángel Serrano

    http://arxiv.org/abs/2104.11448v1

    • [cs.DC]Decentralized Federated Averaging

    Tao Sun, Dongsheng Li, Bao Wang

    http://arxiv.org/abs/2104.11375v1

    • [cs.DC]In-Situ Assessment of Device-Side Compute Work for Dynamic Load Balancing in a GPU-Accelerated PIC Code

    Michael E. Rowan, Axel Huebl, Kevin N. Gott, Jack Deslippe, Maxence Thévenet, Remi Lehe, Jean-Luc Vay

    http://arxiv.org/abs/2104.11385v1

    • [cs.DC]Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities

    Shradha Shinde, Jay Joshi, Sowmya Mareedu, Yeon Pyo Kim, Jongwook Woo

    http://arxiv.org/abs/2104.11349v1

    • [cs.DC]Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap

    Xiaoyi Lu, Arjun Kashyap

    http://arxiv.org/abs/2104.11272v1

    • [cs.DC]tcFFT: Accelerating Half-Precision FFT through Tensor Cores

    Binrui Li, Shenggan Cheng, James Lin

    http://arxiv.org/abs/2104.11471v1

    • [cs.HC]Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework

    Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali

    http://arxiv.org/abs/2104.11483v1

    • [cs.IR]APRF-Net: Attentive Pseudo-Relevance Feedback Network for Query Categorization

    Ali Ahmadvand, Sayyed M. Zahiri, Simon Hughes, Khalifa Al Jadda, Surya Kallumadi, Eugene Agichtein

    http://arxiv.org/abs/2104.11384v1

    • [cs.IR]Tablext: A Combined Neural Network And Heuristic Based Table Extractor

    Zach Colter, Morteza Fayazi, Zineb Benameur-El, Serafina Kamp, Shuyan Yu, Ronald Dreslinski

    http://arxiv.org/abs/2104.11287v1

    • [cs.IT]AFDM: A Full Diversity Next Generation Waveform for High Mobility Communications

    Ali Bemani, Nassar Ksairi, Marios Kountouris

    http://arxiv.org/abs/2104.11331v1

    • [cs.IT]Impact of Channel Aging on Cell-Free Massive MIMO Over Spatially Correlated Channels

    Jiakang Zheng, Jiayi Zhang, Emil Björnson, Bo Ai

    http://arxiv.org/abs/2104.11500v1

    • [cs.IT]Practical Hybrid Beamforming for Millimeter Wave Massive MIMO Full Duplex with Limited Dynamic Range

    Chandan Kumar Sheemar, Christo Kurisummoottil Thomas Dirk Slock

    http://arxiv.org/abs/2104.11537v1

    • [cs.IT]UAV Communications with WPT-aided Cell-Free Massive MIMO Systems

    Jiakang Zheng, Jiayi Zhang, Bo Ai

    http://arxiv.org/abs/2104.11513v1

    • [cs.LG]A Framework for Recognizing and Estimating Human Concentration Levels

    Woodo Lee, Jakyung Koo, Nokyung Park, Pilgu Kang, Jeakwon Shim

    http://arxiv.org/abs/2104.11421v1

    • [cs.LG]A Framework for Unsupervised Classificiation and Data Mining of Tweets about Cyber Vulnerabilities

    Kenneth Alperin, Emily Joback, Leslie Shing, Gabe Elkin

    http://arxiv.org/abs/2104.11695v1

    • [cs.LG]A Machine Learning Framework for Real-time Inverse Modeling and Multi-objective Process Optimization of Composites for Active Manufacturing Control

    Keith D. Humfeld, Dawei Gu, Geoffrey A. Butler, Karl Nelson, Navid Zobeiry

    http://arxiv.org/abs/2104.11342v1

    • [cs.LG]A modularity comparison of Long Short-Term Memory and Morphognosis neural networks

    Thomas E. Portegys

    http://arxiv.org/abs/2104.11410v1

    • [cs.LG]A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning

    Julia Gastinger, Sébastien Nicolas, Dušica Stepić, Mischa Schmidt, Anett Schülke

    http://arxiv.org/abs/2104.11475v1

    • [cs.LG]Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes

    James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard Zemel, Roger Grosse

    http://arxiv.org/abs/2104.11044v2

    • [cs.LG]Carbon Emissions and Large Neural Network Training

    David Patterson, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, Jeff Dean

    http://arxiv.org/abs/2104.10350v3

    • [cs.LG]DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies

    Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine

    http://arxiv.org/abs/2104.11707v1

    • [cs.LG]Eccentric Regularization: Minimizing Hyperspherical Energy without explicit projection

    Xuefeng Li, Alan Blair

    http://arxiv.org/abs/2104.11610v1

    • [cs.LG]Exact priors of finite neural networks

    Jacob A. Zavatone-Veth, Cengiz Pehlevan

    http://arxiv.org/abs/2104.11734v1

    • [cs.LG]Genetic Constrained Graph Variational Autoencoder for COVID-19 Drug Discovery

    Tianyue Cheng, Tianchi Fan, Landi Wang

    http://arxiv.org/abs/2104.11674v1

    • [cs.LG]GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits

    Bodhisatwa Mandal, Swarnendu Ghosh, Teresa Gonçalves, Paulo Quaresma, Mita Nasipuri, Nibaran Das

    http://arxiv.org/abs/2104.11620v1

    • [cs.LG]Inductive biases and Self Supervised Learning in modelling a physical heating system

    Cristian Vicas

    http://arxiv.org/abs/2104.11478v1

    • [cs.LG]Intentional Deep Overfit Learning (IDOL): A Novel Deep Learning Strategy for Adaptive Radiation Therapy

    Jaehee Chun, Justin C. Park, Sven Olberg, You Zhang, Dan Nguyen, Jing Wang, Jin Sung Kim, Steve Jiang

    http://arxiv.org/abs/2104.11401v1

    • [cs.LG]Inter-choice dependent super-network weights

    Kevin Alexander Laube, Andreas Zell

    http://arxiv.org/abs/2104.11522v1

    • [cs.LG]Knodle: Modular Weakly Supervised Learning with PyTorch

    Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth

    http://arxiv.org/abs/2104.11557v1

    • [cs.LG]Learning phylogenetic trees as hyperbolic point configurations

    Benjamin Wilson

    http://arxiv.org/abs/2104.11430v1

    • [cs.LG]Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy

    Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung

    http://arxiv.org/abs/2104.11408v1

    • [cs.LG]On Geodesic Distances and Contextual Embedding Compression for Text Classification

    Rishi Jha, Kai Mihata

    http://arxiv.org/abs/2104.11295v1

    • [cs.LG]Robust Federated Learning by Mixture of Experts

    Saeedeh Parsaeefard, Sayed Ehsan Etesami, Alberto Leon Garcia

    http://arxiv.org/abs/2104.11700v1

    • [cs.LG]SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics

    Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh

    http://arxiv.org/abs/2104.11315v1

    • [cs.LG]Safe Chance Constrained Reinforcement Learning for Batch Process Control

    Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Río Chanona, Robin Smith, Dongda Zhang

    http://arxiv.org/abs/2104.11706v1

    • [cs.LG]Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems

    Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljačić

    http://arxiv.org/abs/2104.11667v1

    • [cs.LG]Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks

    Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu

    http://arxiv.org/abs/2104.11470v1

    • [cs.LG]Time Series Forecasting via Learning Convolutionally Low-Rank Models

    Guangcan Liu

    http://arxiv.org/abs/2104.11510v1

    • [cs.LG]Unsupervised Information Obfuscation for Split Inference of Neural Networks

    Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar

    http://arxiv.org/abs/2104.11413v1

    • [cs.MA]Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL

    Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang

    http://arxiv.org/abs/2104.11455v1

    • [cs.MM]The Influence of Audio on Video Memorability with an Audio Gestalt Regulated Video Memorability System

    Lorin Sweeney, Graham Healy, Alan F. Smeaton

    http://arxiv.org/abs/2104.11568v1

    • [cs.NE]Learning in Deep Neural Networks Using a Biologically Inspired Optimizer

    Giorgia Dellaferrera, Stanislaw Wozniak, Giacomo Indiveri, Angeliki Pantazi, Evangelos Eleftheriou

    http://arxiv.org/abs/2104.11604v1

    • [cs.NI]SpectralFly: Ramanujan Graphs as Flexible and Efficient Interconnection Networks

    Sinan Aksoy, Stephen Young, Jesun Firoz, Roberto Gioiosa, Mark Raugas, Juan Escobedo

    http://arxiv.org/abs/2104.11725v1

    • [cs.RO]Accuracy and precision: a new view on kinematic assessment of solid-state hinges and compliant mechanisms

    Lucio Flavio Campanile, Stephanie Kirmse, Alexander Hasse

    http://arxiv.org/abs/2104.11451v1

    • [cs.RO]Automatic Grasp Pose Generation for Parallel Jaw Grippers

    Kilian Kleeberger, Florian Roth, Richard Bormann, Marco F. Huber

    http://arxiv.org/abs/2104.11660v1

    • [cs.RO]Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Data

    Akshay Rangesh, Nachiket Deo, Ross Greer, Pujitha Gunaratne, Mohan M. Trivedi

    http://arxiv.org/abs/2104.11489v1

    • [cs.RO]Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation

    Parker Ewen, Jean-Pierre Sleiman, Yuxin Chen, Wei-Chun Lu, Marco Hutter, Ram Vasudevan

    http://arxiv.org/abs/2104.11685v1

    • [cs.RO]**Grasp Synthesis for Novel Objects Using Heuristic-based and Data-driven Activ

    78b

    e Vision Methods**

    Sabhari Natarajan, Galen Brown, Berk Calli

    http://arxiv.org/abs/2104.11372v1

    • [cs.RO]Lighthouse Positioning System: Dataset, Accuracy, and Precision for UAV Research

    Arnaud Taffanel, Barbara Rousselot, Jonas Danielsson, Kimberly McGuire, Kristoffer Richardsson, Marcus Eliasson, Tobias Antonsson, Wolfgang Hönig

    http://arxiv.org/abs/2104.11523v1

    • [cs.RO]OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation

    Ziyuan Liu, Wei Liu, Yuzhe Qin, Fanbo Xiang, Songyan Xin, Maximo A. Roa, Berk Calli, Hao Su, Yu Sun, Ping Tan

    http://arxiv.org/abs/2104.11446v1

    • [cs.RO]Optimal Cost Design for Model Predictive Control

    Avik Jain, Lawrence Chan, Daniel S. Brown, Anca D. Dragan

    http://arxiv.org/abs/2104.11353v1

    • [cs.RO]Risk-Aware Path Planning for Ground Vehicles using Occluded Aerial Images

    Vishnu Dutt Sharma, Pratap Tokekar

    http://arxiv.org/abs/2104.11709v1

    • [cs.RO]Speed Planning Using Bezier Polynomials with Trapezoidal Corridors

    Jialun Li, Xiaojia Xie, Hengbo Ma, Xiao Liu, Jianping He

    http://arxiv.org/abs/2104.11655v1

    • [cs.SD]3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces

    László Tóth, Amin Honarmandi Shandiz

    http://arxiv.org/abs/2104.11532v1

    • [cs.SD]Beyond Voice Activity Detection: Hybrid Audio Segmentation for Direct Speech Translation

    Marco Gaido, Matteo Negri, Mauro Cettolo, Marco Turchi

    http://arxiv.org/abs/2104.11710v1

    • [cs.SD]Deep Learning Based Assessment of Synthetic Speech Naturalness

    Gabriel Mittag, Sebastian Möller

    http://arxiv.org/abs/2104.11673v1

    • [cs.SD]DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data

    Shahin Amiriparian, Tobias Hübner, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller

    http://arxiv.org/abs/2104.11629v1

    • [cs.SD]Infant Vocal Tract Development Analysis and Diagnosis by Cry Signals with CNN Age Classification

    Chunyan Ji, Yi Pan

    http://arxiv.org/abs/2104.11395v1

    • [cs.SD]Restoring degraded speech via a modified diffusion model

    Jianwei Zhang, Suren Jayasuriya, Visar Berisha

    http://arxiv.org/abs/2104.11347v1

    • [cs.SE]Structuring and presenting data for testing of automotive electronics to reduce effort during decision making

    Martin Tran, Ashish M Husain

    http://arxiv.org/abs/2104.11486v1

    • [cs.SI]Estimating the Number of HIV+ Latino MSM Using RDS, SS-PSE, and the Census

    Nicholas Budzban, Katherine Silverio, John Matta

    http://arxiv.org/abs/2104.11633v1

    • [cs.SI]Low Complex, Narrowband-Interference Robust Synchronization for NC-OFDM Cognitive Radio

    Pawel Kryszkiewicz, Hanna Bogucka

    http://arxiv.org/abs/2104.11307v1

    • [cs.SI]Mutual Hyperlinking Among Misinformation Peddlers

    Vibhor Sehgal, Ankit Peshin, Sadia Afroz, Hany Farid

    http://arxiv.org/abs/2104.11694v1

    • [cs.SI]Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks

    Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu

    http://arxiv.org/abs/2104.11641v1

    • [econ.GN]Managing mental & psychological wellbeing amidst COVID-19 pandemic: Positive psychology interventions

    Maria Tresita V. Paul, Uma N. Devi

    http://arxiv.org/abs/2104.11726v1

    • [eess.IV]Learning from Ambiguous Labels for Lung Nodule Malignancy Prediction

    Zehui Liao, Yutong Xie, Shishuai Hu, Yong Xia

    http://arxiv.org/abs/2104.11436v1

    • [eess.IV]Predicting Distant Metastases in Soft-Tissue Sarcomas from PET-CT scans using Constrained Hierarchical Multi-Modality Feature Learning

    Yige Peng, Lei Bi, Ashnil Kumar, Michael Fulham, Dagan Feng, Jinman Kim

    http://arxiv.org/abs/2104.11416v1

    • [eess.IV]Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid

    Mengfan Li

    http://arxiv.org/abs/2104.11551v1

    • [eess.SP]Antenna Efficiency in Massive MIMO Detection

    Ruichen Jiang, Ya-Feng Liu

    http://arxiv.org/abs/2104.11549v1

    • [eess.SP]Deep Multi-Stage CSI Acquisition for Reconfigurable Intelligent Surface Aided MIMO Systems

    Shen Gao, Peihao Dong, Zhiwen Pan, Geoffrey Ye Li

    http://arxiv.org/abs/2104.11541v1

    • [eess.SP]Probabilistic Rainfall Estimation from Automotive Lidar

    Robin Karlsson, David Robert Wong, Kazunari Kawabata, Simon Thompson, Naoki Sakai

    http://arxiv.org/abs/2104.11467v1

    • [eess.SY]Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems

    Daniele Gammelli, Kaidi Yang, James Harrison, Filipe Rodrigues, Francisco C. Pereira, Marco Pavone

    http://arxiv.org/abs/2104.11434v1

    • [math.OC]A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization

    Hongcheng Liu, Yu Yang

    http://arxiv.org/abs/2104.11283v1

    • [math.OC]Connecting Hamilton—Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors

    Jérôme Darbon, Gabriel P. Langlois, Tingwei Meng

    http://arxiv.org/abs/2104.11285v1

    • [math.ST]A calculus for causal inference with instrumental variables

    Wing Hung Wong

    http://arxiv.org/abs/2104.10633v2

    • [math.ST]Bayesian predictive inference without a prior

    Patrizia Berti, Emanuela Dreassi, Fabrizio Leisen, Pietro Rigo, Luca Pratelli

    http://arxiv.org/abs/2104.11643v1

    • [math.ST]Change point inference in ergodic diffusion processes based on high frequency data

    Yozo Tonaki, Masayuki Uchida

    http://arxiv.org/abs/2104.11438v1

    • [math.ST]Learning to reflect: A unifying approach for data-driven stochastic control strategies

    Sören Christensen, Claudia Strauch, Lukas Trottner

    http://arxiv.org/abs/2104.11496v1

    • [math.ST]Transitional Conditional Independence

    Patrick Forré

    http://arxiv.org/abs/2104.11547v1

    • [physics.flu-dyn]Consistent and symmetry preserving data-driven interface reconstruction for the level-set method

    Aaron B. Buhendwa, Deniz A. Bezgin, Nikolaus Adams

    http://arxiv.org/abs/2104.11578v1

    • [physics.soc-ph]Evolutionary game model of risk propensity in group decision making

    Andrea Civilini, Nejat Anbarci, Vito Latora

    http://arxiv.org/abs/2104.11270v1

    • [q-bio.OT]A field guide to cultivating computational biology

    Anne E Carpenter, Casey S Greene, Piero Carnici, Benilton S Carvalho, Michiel de Hoon, Stacey Finley, Kim-Anh Le Cao, Jerry SH Lee, Luigi Marchionni, Suzanne Sindi, Fabian J Theis, Gregory P Way, Jean YH Yang, Elana J Fertig

    http://arxiv.org/abs/2104.11364v1

    • [q-fin.PM]Dynamic investment portfolio optimization using a Multivariate Merton Model with Correlated Jump Risk

    Bahareh Afhami, Mohsen Rezapour, Mohsen Madadi, Vahed Maroufy

    http://arxiv.org/abs/2104.11594v1

    • [stat.AP]A Gaussian Process Model of Cross-Category Dynamics in Brand Choice

    Ryan Dew, Yuhao Fan

    http://arxiv.org/abs/2104.11702v1

    • [stat.AP]Data filtering methods for SARS-CoV-2 wastewater surveillance

    Rezgar Arabzadeh, Daniel Martin Gruenbacher, Heribert Insam, Norbert Kreuzinger, Rudolf Markt, Wolfgang Rauch

    http://arxiv.org/abs/2104.11566v1

    • [stat.AP]Establishing phone-pair co-usage by comparing mobility patterns

    Wauter Bosma, Sander Dalm, Erwin van Eijk, Rachid el Harchaoui, Edwin Rijgersberg, Hannah Tereza Tops, Alle Veenstra, Rolf Ypma

    http://arxiv.org/abs/2104.11683v1

    • [stat.AP]Extending the Heston Model to Forecast Motor Vehicle Collision Rates

    Darren Shannon, Grigorios Fountas

    http://arxiv.org/abs/2104.11461v1

    • [stat.AP]Heterogeneous item populations across individuals: Consequences for the factor model, item inter-correlations, and scale validity

    André Beauducel, Norbert Hilger

    http://arxiv.org/abs/2104.11526v1

    • [stat.AP]Identification of high-energy astrophysical point sources via hierarchical Bayesian nonparametric clustering

    Andrea Sottosanti, Mauro Bernardi, Alessandra R. Brazzale, Alex Geringer-Sameth, David C. Stenning, Roberto Trotta, David A. van Dyk

    http://arxiv.org/abs/2104.11492v1

    • [stat.AP]Stochastic modeling of in vitro bactericidal potency

    Anita Bogdanov, Péter Kevei, Máté Szalai, Dezső Virok

    http://arxiv.org/abs/2104.11525v1

    • [stat.ME]Asymptotic Incidence Rate estimation of SARS-COVID-19 via a Polya process scheme: a comparative analysis in Italy and European Countries

    Filippo Carone Fabiani

    http://arxiv.org/abs/2104.11722v1

    • [stat.ME]Inferring medication adherence from time-varying health measures

    Kristen B. Hunter, Mark E. Glickman, Luis F. Campos

    http://arxiv.org/abs/2104.11651v1

    • [stat.ME]Joint Mean-Vector and Var-Matrix estimation for Locally Stationary VAR(1) processes

    Giovanni Motta

    http://arxiv.org/abs/2104.11358v1

    • [stat.ME]Latent variable models for multivariate dyadic data with zero inflation: Analysis of intergenerational exchanges of family support

    Jouni Kuha, Siliang Zhang, Fiona Steele

    http://arxiv.org/abs/2104.11531v1

    • [stat.ME]PROFIT: Projection-based Test in Longitudinal Functional Data

    Salil Koner, So Young Park, Ana-Maria Staicu

    http://arxiv.org/abs/2104.11355v1

    • [stat.ME]Regularized Nonlinear Regression for Simultaneously Selecting and Estimating Key Model Parameters

    Kyubaek Yoon, Hojun You, Wei-Ying Wu, Chae Young Lim, Jongeun Choi, Connor Boss, Ahmed Ramadan, John M. Popovich Jr., Jacek Cholewicki, N. Peter Reeves, Clark J. Radcliffe

    http://arxiv.org/abs/2104.11426v1

    • [stat.ML]Grouped Feature Importance and Combined Features Effect Plot

    Quay Au, Julia Herbinger, Clemens Stachl, Bernd Bischl, Giuseppe Casalicchio

    http://arxiv.org/abs/2104.11688v1