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