astro-ph.IM - 仪器仪表和天体物理学方法

    cond-mat.dis-nn - 无序系统与神经网络 cs.AI - 人工智能 cs.AR - 硬件体系结构 cs.CL - 计算与语言 cs.CR - 加密与安全 cs.CV - 机器视觉与模式识别 cs.CY - 计算与社会 cs.DB - 数据库 cs.DC - 分布式、并行与集群计算 cs.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.PL - 编程语言 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 econ.GN - 一般经济学 econ.TH - 理论经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.CO - 组合数学 math.NA - 数值分析 math.ST - 统计理论 quant-ph - 量子物理 stat.AP - 应用统计 stat.CO - 统计计算 stat.ME - 统计方法论 stat.ML - (统计)机器学习

    • [astro-ph.IM]Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars
    • [cond-mat.dis-nn]On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations
    • [cs.AI]ELG: An Event Logic Graph
    • [cs.AI]Transfer Learning Across Simulated Robots With Different Sensors
    • [cs.AR]CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers
    • [cs.CL]Analysis of Word Embeddings using Fuzzy Clustering
    • [cs.CL]Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis
    • [cs.CL]Deep Neural Models for Medical Concept Normalization in User-Generated Texts
    • [cs.CL]Evaluating the Utility of Document Embedding Vector Difference for Relation Learning
    • [cs.CL]OCC: A Smart Reply System for Efficient In-App Communications
    • [cs.CL]Querying Knowledge via Multi-Hop English Questions
    • [cs.CL]Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
    • [cs.CL]What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
    • [cs.CR]Connecting Lyapunov Control Theory to Adversarial Attacks
    • [cs.CV]A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images
    • [cs.CV]A General Framework for Uncertainty Estimation in Deep Learning
    • [cs.CV]A Strong Feature Representation for Siamese Network Tracker
    • [cs.CV]A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements
    • [cs.CV]Analysis of “User-Specific Effect” and Impact of Operator Skills on Fingerprint PAD Systems
    • [cs.CV]Autonomous Driving in the Lung using Deep Learning for Localization
    • [cs.CV]Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning
    • [cs.CV]Diving Deeper into Underwater Image Enhancement: A Survey
    • [cs.CV]EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
    • [cs.CV]FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
    • [cs.CV]GRIP: Graph-based Interaction-aware Trajectory Prediction
    • [cs.CV]Growing a Brain: Fine-Tuning by Increasing Model Capacity
    • [cs.CV]Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
    • [cs.CV]Locality-constrained Spatial Transformer Network for Video Crowd Counting
    • [cs.CV]News Cover Assessment via Multi-task Learning
    • [cs.CV]Post-Earthquake Assessment of Buildings Using Deep Learning
    • [cs.CV]Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach
    • [cs.CV]Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC
    • [cs.CV]Self-supervised Training of Proposal-based Segmentation via Background Prediction
    • [cs.CV]Understanding Video Content: Efficient Hero Detection and Recognition for the Game “Honor of Kings”
    • [cs.CV]Unsupervised Task Design to Meta-Train Medical Image Classifiers
    • [cs.CV]Video Prediction for Precipitation Nowcasting
    • [cs.CY]Classification Schemas for Artificial Intelligence Failures
    • [cs.CY]Global AI Ethics: A Review of the Social Impacts and Ethical Implications of Artificial Intelligence
    • [cs.CY]Laptop Theft in a University Setting can be Avoided with Warnings
    • [cs.CY]Modern CNNs for IoT Based Farms
    • [cs.DB]A Survey of Data Quality Measurement and Monitoring Tools
    • [cs.DC]A Secure Cloud with Minimal Provider Trust
    • [cs.DC]A Survey of Preferences in Virtual Machine Placement
    • [cs.DC]Analysis of a Memory-Efficient Self-Stabilizing BFS Spanning Tree
    • [cs.DC]Crisis: Probabilistically Self Organizing Total Order in Unstructured P2P Networks
    • [cs.DC]FBLAS: Streaming Linear Algebra on FPGA
    • [cs.DC]READ: a three-communicating-stage distributed super points detections algorithm
    • [cs.DC]Seeing Far vs. Seeing Wide: Volume Complexity of Local Graph Problems
    • [cs.HC]User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features
    • [cs.IR]A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams
    • [cs.IR]Decoding the Style and Bias of Song Lyrics
    • [cs.IT]Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G
    • [cs.IT]Communication and Consensus Co-Design for Low-Latency and Reliable Industrial IoT Systems
    • [cs.IT]Distributed Hypothesis Testing: Cooperation and Concurrent Detection
    • [cs.IT]Graph-Based Encoders and their Performance for Finite-State Channels with Feedback
    • [cs.IT]Optimal Downlink-Uplink Scheduling of Wireless Networked Control for Industrial IoT
    • [cs.IT]Preserving ON-OFF Privacy for Past and Future Requests
    • [cs.IT]Prioritized Multi-stream Traffic in Uplink IoT Networks: Spatially Interacting Vacation Queues
    • [cs.IT]Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation
    • [cs.IT]Towards $k$-connectivity in Heterogeneous Sensor Networks under Pairwise Key Predistribution
    • [cs.LG]Autoencoder-Based Incremental Class Learning without Retraining on Old Data
    • [cs.LG]Automating concept-drift detection by self-evaluating predictive model degradation
    • [cs.LG]Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs
    • [cs.LG]Convolutional Reservoir Computing for World Models
    • [cs.LG]Credit Assignment as a Proxy for Transfer in Reinforcement Learning
    • [cs.LG]Deep Invertible Networks for EEG-based brain-signal decoding
    • [cs.LG]Deep Multi-View Learning via Task-Optimal CCA
    • [cs.LG]Design and Evaluation of Product Aesthetics: A Human-Machine Hybrid Approach
    • [cs.LG]Federated PCA with Adaptive Rank Estimation
    • [cs.LG]Learning Privately over Distributed Features: An ADMM Sharing Approach
    • [cs.LG]Meta-descent for Online, Continual Prediction
    • [cs.LG]MintNet: Building Invertible Neural Networks with Masked Convolutions
    • [cs.LG]Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence
    • [cs.LG]Natural Adversarial Examples
    • [cs.LG]Network Based Pricing for 3D Printing Services in Two-Sided Manufacturing-as-a-Service Marketplace
    • [cs.LG]Neural Shuffle-Exchange Networks $-$ Sequence Processing in O(n log n) Time
    • [cs.LG]OmniNet: A unified architecture for multi-modal multi-task learning
    • [cs.LG]On the relation between Loss Functions and T-Norms
    • [cs.LG]Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration
    • [cs.LG]Probabilistic Regressor Chains with Monte Carlo Methods
    • [cs.NE]Event-based Feature Extraction Using Adaptive Selection Thresholds
    • [cs.PL]A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
    • [cs.RO]A Sequential Composition Framework for Coordinating Multi-Robot Behaviors
    • [cs.RO]Design and Take-Off Flight of a Samara-Inspired Revolving-Wing Robot
    • [cs.RO]Robust and fast generation of top and side grasps for unknown objects
    • [cs.RO]Search-Based Motion Planning for Performance Autonomous Driving
    • [cs.RO]Towards Learning Efficient Maneuver Sets for Kinodynamic Motion Planning
    • [cs.SI]Consensus formation Online using Sociophysics method
    • [cs.SI]Cross-Media Usage of Social Big Data for Emergency Services and Volunteer Communities: Approaches, Development and Challenges of Multi-Platform Social Media Services
    • [cs.SI]Interactional and Informational Attention on Twitter
    • [cs.SI]Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections
    • [cs.SI]Total variation based community detection using a nonlinear optimization approach
    • [cs.SI]Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach
    • [econ.EM]Audits as Evidence: Experiments, Ensembles, and Enforcement
    • [econ.GN]Powershare Mechanics
    • [econ.TH]Unforeseen Evidence
    • [eess.IV]A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images
    • [eess.IV]An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability
    • [eess.IV]Automated Gleason Grading of Prostate Biopsies using Deep Learning
    • [eess.IV]Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks
    • [eess.IV]Automatic vocal tract landmark localization from midsagittal MRI data
    • [eess.IV]CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation
    • [eess.IV]End-to-end sensor modeling for LiDAR Point Cloud
    • [eess.IV]Lung Nodules Detection and Segmentation Using 3D Mask-RCNN
    • [eess.IV]Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
    • [eess.SP]Electroencephalography based Classification of Long-term Stress using Psychological Labeling
    • [eess.SP]Joint Design of surveillance radar and MIMO communication in cluttered environments
    • [eess.SY]Can Machine Learning Identify Governing Laws For Dynamics in Complex Engineered Systems ? : A Study in Chemical Engineering
    • [eess.SY]Model-free Control of Chaos with Continuous Deep Q-learning
    • [eess.SY]Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning
    • [math.CO]MRD-codes arising from the trinomial $x{q{q6}[x]$
    • [math.NA]Stability selection enables robust learning of partial differential equations from limited noisy data
    • [math.ST]Bounds on Spreads of Matrices related to Fourth Central Moment. II
    • [math.ST]Consistent bootstrap one-step prediction region for state-vector in state space model
    • [math.ST]Freeness over the diagonal and outliers detection in deformed random matrices with a variance profile
    • [quant-ph]Quantum Codes of Maximal Distance and Highly Entangled Subspaces
    • [stat.AP]Accounting for total variation and robustness in profiling health care providers
    • [stat.AP]Artificial skill in monsoon onset prediction: two recent examples
    • [stat.AP]Interval estimators for inequality measures using grouped
    • [stat.AP]Sequential Pattern mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant
    • [stat.CO]Multi-Scale Process Modelling and Distributed Computation for Spatial Data
    • [stat.ME]Application of Cox Model to predict the survival of patients with Chronic Heart Failure: A latent class regression approach
    • [stat.ME]Optimal Sampling for Generalized Linear Models under Measurement Constraints
    • [stat.ME]Scalar-on-function local linear regression and beyond
    • [stat.ML]A discriminative approach for finding and characterizing positivity violations using decision trees
    • [stat.ML]Amortized Monte Carlo Integration
    • [stat.ML]An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series
    • [stat.ML]Least Angle Regression in Tangent Space and LASSO for Generalized Linear Model
    • [stat.ML]Robust data-driven discovery of governing physical laws using a new subsampling-based sparse Bayesian method to tackle four challenges (large noise, outliers, data integration, and extrapolation)
    • [stat.ML]optimalFlow: Optimal-transport approach to flow cytometry gating and population matching

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

    • [astro-ph.IM]Comparing Multi-class, Binary and Hierarchical Machine Learning Classification schemes for variable stars
    Zafiirah Hosenie, Robert Lyon, Benjamin Stappers, Arrykrishna Mootoovaloo
    http://arxiv.org/abs/1907.08189v1

    • [cond-mat.dis-nn]On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations
    Carlo Baldassi, Enrico M. Malatesta, Riccardo Zecchina
    http://arxiv.org/abs/1907.07578v1

    • [cs.AI]ELG: An Event Logic Graph
    Xiao Ding, Zhongyang Li, Ting Liu, Kuo Liao
    http://arxiv.org/abs/1907.08015v1

    • [cs.AI]Transfer Learning Across Simulated Robots With Different Sensors
    Hélène Plisnier, Denis Steckelmacher, Diederik Roijers, Ann Nowé
    http://arxiv.org/abs/1907.07958v1

    • [cs.AR]CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers
    Eduardo Olmedo Sanchez, Xian-He Sun
    http://arxiv.org/abs/1907.07776v1

    • [cs.CL]Analysis of Word Embeddings using Fuzzy Clustering
    Shahin Atakishiyev, Marek Z. Reformat
    http://arxiv.org/abs/1907.07672v1

    • [cs.CL]Comparison of Classical Machine Learning Approaches on Bangla Textual Emotion Analysis
    Md. Ataur Rahman, Md. Hanif Seddiqui
    http://arxiv.org/abs/1907.07826v1

    • [cs.CL]Deep Neural Models for Medical Concept Normalization in User-Generated Texts
    Zulfat Miftahutdinov, Elena Tutubalina
    http://arxiv.org/abs/1907.07972v1

    • [cs.CL]Evaluating the Utility of Document Embedding Vector Difference for Relation Learning
    Jingyuan Zhang, Timothy Baldwin
    http://arxiv.org/abs/1907.08184v1

    • [cs.CL]OCC: A Smart Reply System for Efficient In-App Communications
    Yue Weng, Huaixiu Zheng, Franziska Bell, Gokhan Tur
    http://arxiv.org/abs/1907.08167v1

    • [cs.CL]Querying Knowledge via Multi-Hop English Questions
    Tiantian Gao, Paul Fodor, Michael Kifer
    http://arxiv.org/abs/1907.08176v1

    • [cs.CL]Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
    Gongbo Tang, Rico Sennrich, Joakim Nivre
    http://arxiv.org/abs/1907.08158v1

    • [cs.CL]What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
    Miryam de Lhoneux, Sara Stymne, Joakim Nivre
    http://arxiv.org/abs/1907.07950v1

    • [cs.CR]Connecting Lyapunov Control Theory to Adversarial Attacks
    Arash Rahnama, Andre T. Nguyen, Edward Raff
    http://arxiv.org/abs/1907.07732v1

    • [cs.CV]A Computer Vision Application for Assessing Facial Acne Severity from Selfie Images
    Tingting Zhao, Hang Zhang, Jacob Spoelstra
    http://arxiv.org/abs/1907.07901v1

    • [cs.CV]A General Framework for Uncertainty Estimation in Deep Learning
    Mattia Segù, Antonio Loquercio, Davide Scaramuzza
    http://arxiv.org/abs/1907.06890v2

    • [cs.CV]A Strong Feature Representation for Siamese Network Tracker
    Zhipeng Zhou, Rui Zhang, Dong Yin
    http://arxiv.org/abs/1907.07880v1

    • [cs.CV]A feasibility study of deep neural networks for the recognition of banknotes regarding central bank requirements
    Julia Schulte, Daniel Staps, Alexander Lampe
    http://arxiv.org/abs/1907.07890v1

    • [cs.CV]Analysis of “User-Specific Effect” and Impact of Operator Skills on Fingerprint PAD Systems
    Giulia Orrù, Pierluigi Tuveri, Luca Ghiani, Gian Luca Marcialis
    http://arxiv.org/abs/1907.08068v1

    • [cs.CV]Autonomous Driving in the Lung using Deep Learning for Localization
    Jake Sganga, David Eng, Chauncey Graetzel, David B. Camarillo
    http://arxiv.org/abs/1907.08136v1

    • [cs.CV]Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning
    Ying Shi, Wei Wei, Zhiming Zheng
    http://arxiv.org/abs/1907.08070v1

    • [cs.CV]Diving Deeper into Underwater Image Enhancement: A Survey
    Saeed Anwar, Chongyi Li
    http://arxiv.org/abs/1907.07863v1

    • [cs.CV]EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
    Peixiang Zhong, Di Wang, Chunyan Miao
    http://arxiv.org/abs/1907.07835v1

    • [cs.CV]FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
    Hongje Seong, Junhyuk Hyun, Euntai Kim
    http://arxiv.org/abs/1907.07570v2

    • [cs.CV]GRIP: Graph-based Interaction-aware Trajectory Prediction
    Xin Li, Xiaowen Ying, Mooi Choo Chuah
    http://arxiv.org/abs/1907.07792v1

    • [cs.CV]Growing a Brain: Fine-Tuning by Increasing Model Capacity
    Yu-Xiong Wang, Deva Ramanan, Martial Hebert
    http://arxiv.org/abs/1907.07844v1

    • [cs.CV]Incorporating Temporal Prior from Motion Flow for Instrument Segmentation in Minimally Invasive Surgery Video
    Yueming Jin, Keyun Cheng, Qi Dou, Pheng-Ann Heng
    http://arxiv.org/abs/1907.07899v1

    • [cs.CV]Locality-constrained Spatial Transformer Network for Video Crowd Counting
    Yanyan Fang, Biyun Zhan, Wandi Cai, Shenghua Gao, Bo Hu
    http://arxiv.org/abs/1907.07911v1

    • [cs.CV]News Cover Assessment via Multi-task Learning
    Zixun Sun, Shuang Zhao, Chengwei Zhu, Xiao Chen
    http://arxiv.org/abs/1907.07581v2

    • [cs.CV]Post-Earthquake Assessment of Buildings Using Deep Learning
    Dhananjay Nahata, Harish Kumar Mulchandani, Suraj Bansal, G Muthukumar
    http://arxiv.org/abs/1907.07877v1

    • [cs.CV]Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach
    Neslihan Kose, Okan Kopuklu, Alexander Unnervik, Gerhard Rigoll
    http://arxiv.org/abs/1907.08009v1

    • [cs.CV]Real-Time Highly Accurate Dense Depth on a Power Budget using an FPGA-CPU Hybrid SoC
    Oscar Rahnama, Tommaso Cavallari, Stuart Golodetz, Alessio Tonioni, Thomas Joy, Luigi Di Stefano, Simon Walker, Philip H. S. Torr
    http://arxiv.org/abs/1907.07745v1

    • [cs.CV]Self-supervised Training of Proposal-based Segmentation via Background Prediction
    Isinsu Katircioglu, Helge Rhodin, Victor Constantin, Jörg Spörri, Mathieu Salzmann, Pascal Fua
    http://arxiv.org/abs/1907.08051v1

    • [cs.CV]Understanding Video Content: Efficient Hero Detection and Recognition for the Game “Honor of Kings”
    Wentao Yao, Zixun Sun, Xiao Chen
    http://arxiv.org/abs/1907.07854v1

    • [cs.CV]Unsupervised Task Design to Meta-Train Medical Image Classifiers
    Gabriel Maicas, Cuong Nguyen, Farbod Motlagh, Jacinto C. Nascimento, Gustavo Carneiro
    http://arxiv.org/abs/1907.07816v1

    • [cs.CV]Video Prediction for Precipitation Nowcasting
    Yuan Cao, Qiuying Li, Lei Chen, Junping Zhang, Leiming Ma
    http://arxiv.org/abs/1907.08069v1

    • [cs.CY]Classification Schemas for Artificial Intelligence Failures
    Peter J. Scott, Roman V. Yampolskiy
    http://arxiv.org/abs/1907.07771v1

    • [cs.CY]Global AI Ethics: A Review of the Social Impacts and Ethical Implications of Artificial Intelligence
    Alexa Hagerty, Igor Rubinov
    http://arxiv.org/abs/1907.07892v1

    • [cs.CY]Laptop Theft in a University Setting can be Avoided with Warnings
    Azqa Nadeem, Marianne Junger
    http://arxiv.org/abs/1907.08083v1

    • [cs.CY]Modern CNNs for IoT Based Farms
    Patrick Kinyua Gikunda
    http://arxiv.org/abs/1907.07772v1

    • [cs.DB]A Survey of Data Quality Measurement and Monitoring Tools
    Lisa Ehrlinger, Elisa Rusz, Wolfram Wöß
    http://arxiv.org/abs/1907.08138v1

    • [cs.DC]A Secure Cloud with Minimal Provider Trust
    Amin Mosayyebzadeh, Gerardo Ravago, Apoorve Mohan, Ali Raza, Sahil Tikale, Nabil Schear, Trammell Hudson, Jason Hennessey, Naved Ansari, Kyle Hogan, Charles Munson, Larry Rudolph, Gene Cooperman, Peter Desnoyers, Orran Krieger
    http://arxiv.org/abs/1907.07627v1

    • [cs.DC]A Survey of Preferences in Virtual Machine Placement
    Abdulaziz S. Alashaikh, Eisa A. Alanazi
    http://arxiv.org/abs/1907.07778v1

    • [cs.DC]Analysis of a Memory-Efficient Self-Stabilizing BFS Spanning Tree
    Ajoy K. Datta, Stéphane Devismes, Colette Johnen, Lawrence L. Larmore
    http://arxiv.org/abs/1907.07944v1

    • [cs.DC]Crisis: Probabilistically Self Organizing Total Order in Unstructured P2P Networks
    Mirco Richter
    http://arxiv.org/abs/1907.07248v1

    • [cs.DC]FBLAS: Streaming Linear Algebra on FPGA
    Tiziano De Matteis, Johannes de Fine Licht, Torsten Hoefler
    http://arxiv.org/abs/1907.07929v1

    • [cs.DC]READ: a three-communicating-stage distributed super points detections algorithm
    Jie Xu
    http://arxiv.org/abs/1907.08057v1

    • [cs.DC]Seeing Far vs. Seeing Wide: Volume Complexity of Local Graph Problems
    Will Rosenbaum, Jukka Suomela
    http://arxiv.org/abs/1907.08160v1

    • [cs.HC]User-Interactive Machine Learning Model for Identifying Structural Relationships of Code Features
    Ankit Gupta, Kartik Chugh, Andrea Solis, Thomas LaToza
    http://arxiv.org/abs/1907.07679v1

    • [cs.IR]A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams
    Avishek Bose, Vahid Behzadan, Carlos Aguirre, William H. Hsu
    http://arxiv.org/abs/1907.07768v1

    • [cs.IR]Decoding the Style and Bias of Song Lyrics
    Manash Pratim Barman, Amit Awekar, Sambhav Kothari
    http://arxiv.org/abs/1907.07818v1

    • [cs.IT]Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G
    Rubayet Shafin, Lingjia Liu, Vikram Chandrasekhar, Hao Chen, Jeffrey Reed, Jianzhong, Zhang
    http://arxiv.org/abs/1907.07862v1

    • [cs.IT]Communication and Consensus Co-Design for Low-Latency and Reliable Industrial IoT Systems
    Hyowoon Seo, Jihong Park, Mehdi Bennis, Wan Choi
    http://arxiv.org/abs/1907.08116v1

    • [cs.IT]Distributed Hypothesis Testing: Cooperation and Concurrent Detection
    Pierre Escamilla, Michèle Wigger, Abdellatif Zaidi
    http://arxiv.org/abs/1907.07977v1

    • [cs.IT]Graph-Based Encoders and their Performance for Finite-State Channels with Feedback
    Oron Sabag, Bashar Huleihel, Haim Permuter
    http://arxiv.org/abs/1907.08063v1

    • [cs.IT]Optimal Downlink-Uplink Scheduling of Wireless Networked Control for Industrial IoT
    Kang Huang, Wanchun Liu, Yonghui Li, Branka Vucetic
    http://arxiv.org/abs/1907.07841v1

    • [cs.IT]Preserving ON-OFF Privacy for Past and Future Requests
    Fangwei Ye, Carolina Naim, Salim El Rouayheb
    http://arxiv.org/abs/1907.07918v1

    • [cs.IT]Prioritized Multi-stream Traffic in Uplink IoT Networks: Spatially Interacting Vacation Queues
    Mustafa Emara, Hesham ElSawy, Gerhard Bauch
    http://arxiv.org/abs/1907.07888v1

    • [cs.IT]Random Convolutional Coding for Robust and Straggler Resilient Distributed Matrix Computation
    Anindya B. Das, Aditya Ramamoorthy, Namrata Vaswani
    http://arxiv.org/abs/1907.08064v1

    • [cs.IT]Towards $k$-connectivity in Heterogeneous Sensor Networks under Pairwise Key Predistribution
    Mansi Sood, Osman Yağan
    http://arxiv.org/abs/1907.08049v1

    • [cs.LG]Autoencoder-Based Incremental Class Learning without Retraining on Old Data
    Euntae Choi, Kyungmi Lee, Kiyoung Choi
    http://arxiv.org/abs/1907.07872v1

    • [cs.LG]Automating concept-drift detection by self-evaluating predictive model degradation
    Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, Elena Baralis
    http://arxiv.org/abs/1907.08120v1

    • [cs.LG]Competing Against Equilibria in Zero-Sum Games with Evolving Payoffs
    Adrian Rivera Cardoso, Jacob Abernethy, He Wang, Huan Xu
    http://arxiv.org/abs/1907.07723v1

    • [cs.LG]Convolutional Reservoir Computing for World Models
    Hanten Chang, Katsuya Futagami
    http://arxiv.org/abs/1907.08040v1

    • [cs.LG]Credit Assignment as a Proxy for Transfer in Reinforcement Learning
    Johan Ferret, Raphaël Marinier, Matthieu Geist, Olivier Pietquin
    http://arxiv.org/abs/1907.08027v1

    • [cs.LG]Deep Invertible Networks for EEG-based brain-signal decoding
    Robin Tibor Schirrmeister, Tonio Ball
    http://arxiv.org/abs/1907.07746v1

    • [cs.LG]Deep Multi-View Learning via Task-Optimal CCA
    Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa Troester, Charles M. Perou, Marc Niethammer
    http://arxiv.org/abs/1907.07739v1

    • [cs.LG]Design and Evaluation of Product Aesthetics: A Human-Machine Hybrid Approach
    Alex Burnap, John R. Hauser, Artem Timoshenko
    http://arxiv.org/abs/1907.07786v1

    • [cs.LG]Federated PCA with Adaptive Rank Estimation
    Andreas Grammenos, Rodrigo Mendoza-Smith, Cecilia Mascolo, Jon Crowcroft
    http://arxiv.org/abs/1907.08059v1

    • [cs.LG]Learning Privately over Distributed Features: An ADMM Sharing Approach
    Yaochen Hu, Peng Liu, Linglong Kong, Di Niu
    http://arxiv.org/abs/1907.07735v1

    • [cs.LG]Meta-descent for Online, Continual Prediction
    Andrew Jacobsen, Matthew Schlegel, Cameron Linke, Thomas Degris, Adam White, Martha White
    http://arxiv.org/abs/1907.07751v1

    • [cs.LG]MintNet: Building Invertible Neural Networks with Masked Convolutions
    Yang Song, Chenlin Meng, Stefano Ermon
    http://arxiv.org/abs/1907.07945v1

    • [cs.LG]Multi-Purposing Domain Adaptation Discriminators for Pseudo Labeling Confidence
    Garrett Wilson, Diane J. Cook
    http://arxiv.org/abs/1907.07802v1

    • [cs.LG]Natural Adversarial Examples
    Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song
    http://arxiv.org/abs/1907.07174v2

    • [cs.LG]Network Based Pricing for 3D Printing Services in Two-Sided Manufacturing-as-a-Service Marketplace
    Deepak Pahwa, Binil Starly
    http://arxiv.org/abs/1907.07673v1

    • [cs.LG]Neural Shuffle-Exchange Networks $-$ Sequence Processing in O(n log n) Time
    Kārlis Freivalds, Emīls Ozoliņš, Agris Šostaks
    http://arxiv.org/abs/1907.07897v1

    • [cs.LG]OmniNet: A unified architecture for multi-modal multi-task learning
    Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain
    http://arxiv.org/abs/1907.07804v1

    • [cs.LG]On the relation between Loss Functions and T-Norms
    Francesco Giannini, Giuseppe Marra, Michelangelo Diligenti, Marco Maggini, Marco Gori
    http://arxiv.org/abs/1907.07904v1

    • [cs.LG]Prioritized Guidance for Efficient Multi-Agent Reinforcement Learning Exploration
    Qisheng Wang, Qichao Wang
    http://arxiv.org/abs/1907.07847v1

    • [cs.LG]Probabilistic Regressor Chains with Monte Carlo Methods
    Jesse Read, Luca Martino
    http://arxiv.org/abs/1907.08087v1

    • [cs.NE]Event-based Feature Extraction Using Adaptive Selection Thresholds
    Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen
    http://arxiv.org/abs/1907.07853v1

    • [cs.PL]A Differentiable Programming System to Bridge Machine Learning and Scientific Computing
    Mike Innes, Alan Edelman, Keno Fischer, Chris Rackauckas, Elliot Saba, Viral B Shah, Will Tebbutt
    http://arxiv.org/abs/1907.07587v2

    • [cs.RO]A Sequential Composition Framework for Coordinating Multi-Robot Behaviors
    Pietro Pierpaoli, Anqi Li, Mohit Srinivasan, Xiaoyi Cai, Samuel Coogan, Magnus Egerstedt
    http://arxiv.org/abs/1907.07718v1

    • [cs.RO]Design and Take-Off Flight of a Samara-Inspired Revolving-Wing Robot
    Songnan Bai, Pakpong Chirarattananon
    http://arxiv.org/abs/1907.08065v1

    • [cs.RO]Robust and fast generation of top and side grasps for unknown objects
    Brice Denoun, Beatriz Leon, Claudio Zito, Rustam Stolkin, Lorenzo Jamone, Miles Hansard
    http://arxiv.org/abs/1907.08088v1

    • [cs.RO]Search-Based Motion Planning for Performance Autonomous Driving
    Zlatan Ajanovic, Enrico Regolin, Georg Stettinger, Martin Horn, Antonella Ferrara
    http://arxiv.org/abs/1907.07825v1

    • [cs.RO]Towards Learning Efficient Maneuver Sets for Kinodynamic Motion Planning
    Aravind Sivaramakrishnan, Zakary Littlefield, Kostas E. Bekris
    http://arxiv.org/abs/1907.07876v1

    • [cs.SI]Consensus formation Online using Sociophysics method
    Yasuko Kawahata, Akira Ishii
    http://arxiv.org/abs/1907.07946v1

    • [cs.SI]Cross-Media Usage of Social Big Data for Emergency Services and Volunteer Communities: Approaches, Development and Challenges of Multi-Platform Social Media Services
    Marc-André Kaufhold, Christian Reuter, Thomas Ludwig
    http://arxiv.org/abs/1907.07725v1

    • [cs.SI]Interactional and Informational Attention on Twitter
    Agathe Baltzer, Márton Karsai, Camille Roth
    http://arxiv.org/abs/1907.07962v1

    • [cs.SI]Investigating Italian disinformation spreading on Twitter in the context of 2019 European elections
    Francesco Pierri, Alessandro Artoni, Stefano Ceri
    http://arxiv.org/abs/1907.08170v1

    • [cs.SI]Total variation based community detection using a nonlinear optimization approach
    Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
    http://arxiv.org/abs/1907.08048v1

    • [cs.SI]Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach
    Lanyu Shang, Daniel Zhang, Michael Wang, Shuyue Lai, Dong Wang
    http://arxiv.org/abs/1907.07604v2

    • [econ.EM]Audits as Evidence: Experiments, Ensembles, and Enforcement
    Patrick Kline, Christopher Walters
    http://arxiv.org/abs/1907.06622v2

    • [econ.GN]Powershare Mechanics
    Beka Dalakishvili, Ana Mikatadze
    http://arxiv.org/abs/1907.07975v1

    • [econ.TH]Unforeseen Evidence
    Evan Piermont
    http://arxiv.org/abs/1907.07019v2

    • [eess.IV]A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images
    Yunzhe Xue, Meiyan Xie, Fadi G. Farhat, Olga Boukrina, A. M. Barrett, Jeffrey R. Binder, Usman W. Roshan, William W. Graves
    http://arxiv.org/abs/1907.07807v1

    • [eess.IV]An AI-Augmented Lesion Detection Framework For Liver Metastases With Model Interpretability
    Xin J. Hunt, Ralph Abbey, Ricky Tharrington, Joost Huiskens, Nina Wesdorp
    http://arxiv.org/abs/1907.07713v1

    • [eess.IV]Automated Gleason Grading of Prostate Biopsies using Deep Learning
    Wouter Bulten, Hans Pinckaers, Hester van Boven, Robert Vink, Thomas de Bel, Bram van Ginneken, Jeroen van der Laak, Christina Hulsbergen-van de Kaa, Geert Litjens
    http://arxiv.org/abs/1907.07980v1

    • [eess.IV]Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs using Deep Convolutional Neural Networks
    Aleksei Tiulpin, Simo Saarakkala
    http://arxiv.org/abs/1907.08020v1

    • [eess.IV]Automatic vocal tract landmark localization from midsagittal MRI data
    Mohammad Eslami, Christiane Neuschaefer-Rube, Antoine Serrurier
    http://arxiv.org/abs/1907.07951v1

    • [eess.IV]CU-Net: Cascaded U-Net with Loss Weighted Sampling for Brain Tumor Segmentation
    Hongying Liu, Xiongjie Shen, Fanhua Shang, Fei Wang
    http://arxiv.org/abs/1907.07677v1

    • [eess.IV]End-to-end sensor modeling for LiDAR Point Cloud
    Khaled Elmadawi, Moemen Abdelrazek, Mohamed Elsobky, Hesham M. Eraqi, Mohamed Zahran
    http://arxiv.org/abs/1907.07748v1

    • [eess.IV]Lung Nodules Detection and Segmentation Using 3D Mask-RCNN
    Evi Kopelowitz, Guy Engelhard
    http://arxiv.org/abs/1907.07676v1

    • [eess.IV]Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
    Bernhard Egger, Markus D. Schirmer, Florian Dubost, Marco J. Nardin, Natalia S. Rost, Polina Golland
    http://arxiv.org/abs/1907.07783v1

    • [eess.SP]Electroencephalography based Classification of Long-term Stress using Psychological Labeling
    Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci
    http://arxiv.org/abs/1907.07671v1

    • [eess.SP]Joint Design of surveillance radar and MIMO communication in cluttered environments
    Emanuele Grossi, Marco Lops, Luca Venturino
    http://arxiv.org/abs/1907.07943v1

    • [eess.SY]Can Machine Learning Identify Governing Laws For Dynamics in Complex Engineered Systems ? : A Study in Chemical Engineering
    Renganathan Subramanian, Shweta Singh
    http://arxiv.org/abs/1907.07755v1

    • [eess.SY]Model-free Control of Chaos with Continuous Deep Q-learning
    Junya Ikemoto, Toshimitsu Ushio
    http://arxiv.org/abs/1907.07775v1

    • [eess.SY]Multi-year Long-term Load Forecast for Area Distribution Feeders based on Selective Sequence Learning
    Ming Dong, QingXin Shi
    http://arxiv.org/abs/1907.07836v1

    • [math.CO]MRD-codes arising from the trinomial $x{q{q6}[x]$**
    Giuseppe Marino, Maria Montanucci, Ferdinando Zullo
    http://arxiv.org/abs/1907.08122v1

    • [math.NA]Stability selection enables robust learning of partial differential equations from limited noisy data
    Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, Christian L. Müller
    http://arxiv.org/abs/1907.07810v1

    • [math.ST]Bounds on Spreads of Matrices related to Fourth Central Moment. II
    R. Sharma, R. Kumar, R. Saini, P. Devi
    http://arxiv.org/abs/1907.07869v1

    • [math.ST]Consistent bootstrap one-step prediction region for state-vector in state space model
    Yunyi Zhang, Tingting Wang, Dimitris N. Politis
    http://arxiv.org/abs/1907.07915v1

    • [math.ST]Freeness over the diagonal and outliers detection in deformed random matrices with a variance profile
    Jérémie Bigot, Camille Male
    http://arxiv.org/abs/1907.07753v1

    • [quant-ph]Quantum Codes of Maximal Distance and Highly Entangled Subspaces
    Felix Huber, Markus Grassl
    http://arxiv.org/abs/1907.07733v1

    • [stat.AP]Accounting for total variation and robustness in profiling health care providers
    Lu Xia, Kevin He, Yanming Li, John D. Kalbfleisch
    http://arxiv.org/abs/1907.07809v1

    • [stat.AP]Artificial skill in monsoon onset prediction: two recent examples
    Gerd Bürger
    http://arxiv.org/abs/1907.08114v1

    • [stat.AP]Interval estimators for inequality measures using grouped
    Dilanka S. Dedduwakumara, Luke A. Prendergast
    http://arxiv.org/abs/1907.07850v1

    • [stat.AP]Sequential Pattern mining of Longitudinal Adverse Events After Left Ventricular Assist Device Implant
    Faezeh Movahedi, Robert L. Kormos, Lisa Lohmueller, Laura Seese, Manreet Kanwar, Srinivas Murali, Yiye Zhang, Rema Padman, James F. Antaki
    http://arxiv.org/abs/1907.07669v1

    • [stat.CO]Multi-Scale Process Modelling and Distributed Computation for Spatial Data
    Andrew Zammit-Mangion, Jonathan Rougier
    http://arxiv.org/abs/1907.07813v1

    • [stat.ME]Application of Cox Model to predict the survival of patients with Chronic Heart Failure: A latent class regression approach
    John Mbotwa, Marc de Kamps, Paul D. Baxter, Mark S. Gilthorpe
    http://arxiv.org/abs/1907.07957v1

    • [stat.ME]Optimal Sampling for Generalized Linear Models under Measurement Constraints
    Tao Zhang, Yang Ning, David Ruppert
    http://arxiv.org/abs/1907.07309v2

    • [stat.ME]Scalar-on-function local linear regression and beyond
    Frédéric Ferraty, Stanislav Nagy
    http://arxiv.org/abs/1907.08074v1

    • [stat.ML]A discriminative approach for finding and characterizing positivity violations using decision trees
    Ehud Karavani, Peter Bak, Yishai Shimoni
    http://arxiv.org/abs/1907.08127v1

    • [stat.ML]Amortized Monte Carlo Integration
    Adam Goliński, Frank Wood, Tom Rainforth
    http://arxiv.org/abs/1907.08082v1

    • [stat.ML]An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series
    Hui Ye, Xiaopeng Ma, Qingfeng Pan, Huaqiang Fang, Hang Xiang, Tongzhen Shao
    http://arxiv.org/abs/1907.07843v1

    • [stat.ML]Least Angle Regression in Tangent Space and LASSO for Generalized Linear Model
    Yoshihiro Hirose
    http://arxiv.org/abs/1907.08100v1

    • [stat.ML]Robust data-driven discovery of governing physical laws using a new subsampling-based sparse Bayesian method to tackle four challenges (large noise, outliers, data integration, and extrapolation)
    Sheng Zhang, Guang Lin
    http://arxiv.org/abs/1907.07788v1

    • [stat.ML]optimalFlow: Optimal-transport approach to flow cytometry gating and population matching
    Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes, Carlos Matrán, Agustín Mayo-Íscar

    http://arxiv.org/abs/1907.08006v1