astro-ph.IM - 仪器仪表和天体物理学方法
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.DS - 数据结构与算法 cs.GR - 计算机图形学 cs.HC - 人机接口 cs.IR - 信息检索 cs.IT - 信息论 cs.LG - 自动学习 cs.LO - 计算逻辑 cs.NE - 神经与进化计算 cs.RO - 机器人学 cs.SI - 社交网络与信息网络 econ.EM - 计量经济学 eess.IV - 图像与视频处理 eess.SP - 信号处理 eess.SY - 系统和控制 math.FA - 泛函演算 math.NA - 数值分析 math.ST - 统计理论 physics.data-an - 数据分析、 统计和概率 physics.soc-ph - 物理学与社会 q-bio.NC - 神经元与认知 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]Machine learning in APOGEE: Identification of stellar populations through chemical abundances
• [cs.AI]Let’s Make It Personal, A Challenge in Personalizing Medical Inter-Human Communication
• [cs.CL]Abstractive Document Summarization without Parallel Data
• [cs.CL]CUNI Systems for the Unsupervised News Translation Task in WMT 2019
• [cs.CL]Confirmatory Aspect-based Opinion Mining Processes
• [cs.CL]Deep Retrieval-Based Dialogue Systems: A Short Review
• [cs.CL]DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting
• [cs.CL]Dual-FOFE-net Neural Models for Entity Linking with PageRank
• [cs.CL]English-Czech Systems in WMT19: Document-Level Transformer
• [cs.CL]IPRE: a Dataset for Inter-Personal Relationship Extraction
• [cs.CL]MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible
• [cs.CL]Machine Translation Evaluation with BERT Regressor
• [cs.CL]One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts
• [cs.CL]Reinforced Dynamic Reasoning for Conversational Question Generation
• [cs.CL]Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation
• [cs.CL]Zero-shot transfer for implicit discourse relation classification
• [cs.CR]Secure Exchange of Digital Goods in a Decentralized Data Marketplace
• [cs.CV]2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy
• [cs.CV]4X4 Census Transform
• [cs.CV]An Empirical Study of Propagation-based Methods for Video Object Segmentation
• [cs.CV]Artistic Domain Generalisation Methods are Limited by their Deep Representations
• [cs.CV]Bilateral Operators for Functional Maps
• [cs.CV]ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
• [cs.CV]Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
• [cs.CV]Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
• [cs.CV]Deformable Filter Convolution for Point Cloud Reasoning
• [cs.CV]Efficient Method for Categorize Animals in the Wild
• [cs.CV]EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos
• [cs.CV]FingerNet: Pushing The Limits of Fingerprint Recognition Using Convolutional Neural Network
• [cs.CV]Grid Saliency for Context Explanations of Semantic Segmentation
• [cs.CV]Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods
• [cs.CV]Interlaced Sparse Self-Attention for Semantic Segmentation
• [cs.CV]LEAF-QA: Locate, Encode & Attend for Figure Question Answering
• [cs.CV]MoBiNet: A Mobile Binary Network for Image Classification
• [cs.CV]Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
• [cs.CV]Open Set Domain Adaptation for Image and Action Recognition
• [cs.CV]Orientation-aware Semantic Segmentation on Icosahedron Spheres
• [cs.CV]Pay attention to the activations: a modular attention mechanism for fine-grained image recognition
• [cs.CV]PointHop: An Explainable Machine Learning Method for Point Cloud Classification
• [cs.CV]Propose-and-Attend Single Shot Detector
• [cs.CV]Safe Augmentation: Learning Task-Specific Transformations from Data
• [cs.CV]SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
• [cs.CV]Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
• [cs.CV]Temporal Localization of Moments in Video Collections with Natural Language
• [cs.CV]Towards Pure End-to-End Learning for Recognizing Multiple Text Sequences from an Image
• [cs.CV]Weakly Supervised Body Part Parsing with Pose based Part Priors
• [cs.CY]Coercion, Consent, and Participation in Citizen Science
• [cs.CY]Exploring Perceptions of Veganism
• [cs.CY]How model accuracy and explanation fidelity influence user trust
• [cs.CY]Social Internet of Things and New Generation Computing — A Survey
• [cs.DC]A Workload and Programming Ease Driven Perspective of Processing-in-Memory
• [cs.DC]A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
• [cs.DC]DeepPlace: Learning to Place Applications in Multi-Tenant Clusters
• [cs.DC]Distributed Approximation Algorithms for Steiner Tree in the $\mathcal{CONGESTED}$ $\mathcal{CLIQUE}$
• [cs.DC]Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems
• [cs.DC]How to Make the Preconditioned Conjugate Gradient Method Resilient Against Multiple Node Failures
• [cs.DC]Improving MPI Collective I/O Performance With Intra-node Request Aggregation
• [cs.DC]Runtime QoS service for application-driven adaptation in network computing
• [cs.DS]Deterministic coloring algorithms in the LOCAL model
• [cs.DS]Iterative Budgeted Exponential Search
• [cs.GR]Visual Entropy and the Visualization of Uncertainty
• [cs.HC]Augmented Reality Applied to LEGO Construction: AR-based Building Instructions with High Accuracy & Precision and Realistic Object-Hand Occlusions
• [cs.HC]Tweet Moodifier: Towards giving emotional awareness to Twitter users
• [cs.IR]TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
• [cs.IT]Codes, differentially $δ$-uniform functions and $t$-designs
• [cs.IT]Convertible Codes: Efficient Conversion of Coded Data in Distributed Storage
• [cs.IT]High dimensional affine codes whose square has a designed minimum distance
• [cs.IT]Intelligent Reflecting Surface Assisted Secrecy Communication via Joint Beamforming and Jamming
• [cs.IT]Linear codes of 2-designs associated with subcodes of the ternary generalized Reed-Muller codes
• [cs.LG]A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
• [cs.LG]A Federated Learning Approach for Mobile Packet Classification
• [cs.LG]A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
• [cs.LG]A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes
• [cs.LG]Airbnb Price Prediction Using Machine Learning and Sentiment Analysis
• [cs.LG]An Experiment on Measurement of Pavement Roughness via Android-Based Smartphones
• [cs.LG]An alarm prediction framework for financial IT system using hybrid machine learning methods
• [cs.LG]Approximation Capabilities of Neural Ordinary Differential Equations
• [cs.LG]Confounder-Aware Visualization of ConvNets
• [cs.LG]Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning
• [cs.LG]Deep Gradient Boosting
• [cs.LG]FDive: Learning Relevance Models using Pattern-based Similarity Measures
• [cs.LG]GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
• [cs.LG]Kernels on fuzzy sets: an overview
• [cs.LG]Model-Free Unsupervised Learning for Optimization Problems with Constraints
• [cs.LG]Multi-Kernel Capsule Network for Schizophrenia Identification
• [cs.LG]Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
• [cs.LG]Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors
• [cs.LG]Prudence When Assuming Normality: an advice for machine learning practitioners
• [cs.LG]Task Classification Model for Visual Fixation, Exploration, and Search
• [cs.LG]The Challenge of Imputation in Explainable Artificial Intelligence Models
• [cs.LG]Transferability of Spectral Graph Convolutional Neural Networks
• [cs.LO]Incremental Bounded Model Checking of Artificial Neural Networks in CUDA
• [cs.NE]An artifcial life approach to studying niche differentiation in soundscape ecology
• [cs.NE]EVO* 2019 — Late-Breaking Abstracts Volume
• [cs.NE]Exponential Slowdown for Larger Populations: The $(μ+1)$-EA on Monotone Functions
• [cs.NE]On the Robustness of Median Sampling in Noisy Evolutionary Optimization
• [cs.NE]Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
• [cs.RO]Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
• [cs.RO]The Use of Agricultural Robots in Orchard Management
• [cs.RO]Towards Dynamic Simulation Guided Optimal Design of Tumbling Microrobots
• [cs.SI]A Practical Guide for the Effective Evaluation of Twitter User Geolocation
• [cs.SI]Government as Network Catalyst: Preferential Attachment in the High-Technology Sector
• [cs.SI]Improved mutual information measure for classification and community detection
• [econ.EM]Detecting Identification Failure in Moment Condition Models
• [econ.EM]Predicting credit default probabilities using machine learning techniques in the face of unequal class distributions
• [eess.IV]Exploring large scale public medical image datasets
• [eess.IV]Lung image segmentation by generative adversarial networks
• [eess.IV]Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors
• [eess.IV]Screening Mammogram Classification with Prior Exams
• [eess.IV]Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors
• [eess.SP]Cooperative Beamforming with Predictive Relay Selection for Urban mmWave Communications
• [eess.SP]Spatial Modulation for Ambient Backscatter Communications: Modeling and Analysis
• [eess.SP]Time Series Analysis of Big Data for Electricity Price and Demand to Find Cyber-Attacks part 2: Decomposition Analysis
• [eess.SY]Controllability and Accessibility Results for N-Link Horizontal Planar Manipulators with One Unactuated Joint
• [eess.SY]Stabilization of Linear Systems Across a Time-Varying AWGN Fading Channel
• [math.FA]Euclidean Forward-Reverse Brascamp-Lieb Inequalities: Finiteness, Structure and Extremals
• [math.NA]Revisiting Performance of BiCGStab Methods for Solving Systems with Multiple Right-Hand Sides
• [math.ST]Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis
• [math.ST]Local Inference in Additive Models with Decorrelated Local Linear Estimator
• [math.ST]The variation of the posterior variance and Bayesian sample size determination
• [physics.data-an]Universality of power-law exponents by means of maximum likelihood estimation
• [physics.soc-ph]Influencer identification in dynamical complex systems
• [q-bio.NC]Modulation of early visual processing alleviates capacity limits in solving multiple tasks
• [quant-ph]Classical and Quantum Algorithms for Tensor Principal Component Analysis
• [stat.AP]Classification Algorithm for High Dimensional Protein Markers in Time-course Data
• [stat.AP]Modeling long-term capacity degradation of lithium-ion batteries
• [stat.AP]Using extreme value theory for the estimation of risk metrics for capacity adequacy assessment
• [stat.CO]Adaptive spline fitting with particle swarm optimization
• [stat.ME]Comparing partitions through the Matching Error
• [stat.ME]Effects of interventions and optimal strategies in the stochastic system approach to causality
• [stat.ME]On the estimation of average treatment effects with right-censored time to event outcome and competing risks
• [stat.ME]Propensity score analysis with latent covariates: Measurement error bias correction using the covariate’s posterior mean, aka the inclusive factor score
• [stat.ME]Smaller $p$-values via indirect information
• [stat.ML]AUC: Nonparametric Estimators and Their Smoothness
• [stat.ML]Climate-driven statistical models as effective predictors of local dengue incidence in Costa Rica: A Generalized Additive Model and Random Forest approach
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• [astro-ph.IM]Machine learning in APOGEE: Identification of stellar populations through chemical abundances
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida, Pedro Alonso Palicio
http://arxiv.org/abs/1907.12796v1
• [cs.AI]Let’s Make It Personal, A Challenge in Personalizing Medical Inter-Human Communication
Mor Vered, Frank Dignum, Tim Miller
http://arxiv.org/abs/1907.12687v1
• [cs.CL]Abstractive Document Summarization without Parallel Data
Nikola I. Nikolov, Richard H. R. Hahnloser
http://arxiv.org/abs/1907.12951v1
• [cs.CL]CUNI Systems for the Unsupervised News Translation Task in WMT 2019
Ivana Kvapilíková, Dominik Macháček, Ondřej Bojar
http://arxiv.org/abs/1907.12664v1
• [cs.CL]Confirmatory Aspect-based Opinion Mining Processes
Jongho Im, Taikgun Song, Youngsu Lee, Jewoo Kim
http://arxiv.org/abs/1907.12850v1
• [cs.CL]Deep Retrieval-Based Dialogue Systems: A Short Review
Basma El Amel Boussaha, Nicolas Hernandez, Christine Jacquin, Emmanuel Morin
http://arxiv.org/abs/1907.12878v1
• [cs.CL]DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting
Hao Xiong, Ruiqing Zhang, Chuanqiang Zhang, Zhongjun He, Hua Wu, Haifeng Wang
http://arxiv.org/abs/1907.12984v1
• [cs.CL]Dual-FOFE-net Neural Models for Entity Linking with PageRank
Feng Wei, Uyen Trang Nguyen, Hui Jiang
http://arxiv.org/abs/1907.12697v1
• [cs.CL]English-Czech Systems in WMT19: Document-Level Transformer
Martin Popel, Dominik Macháček, Michal Auersperger, Ondřej Bojar, Pavel Pecina
http://arxiv.org/abs/1907.12750v1
• [cs.CL]IPRE: a Dataset for Inter-Personal Relationship Extraction
Haitao Wang, Zhengqiu He, Jin Ma, Wenliang Chen, Min Zhang
http://arxiv.org/abs/1907.12801v1
• [cs.CL]MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the Bible
Marcely Zanon Boito, William N. Havard, Mahault Garnerin, Éric Le Ferrand, Laurent Besacier
http://arxiv.org/abs/1907.12895v1
• [cs.CL]Machine Translation Evaluation with BERT Regressor
Hiroki Shimanaka, Tomoyuki Kajiwara, Mamoru Komachi
http://arxiv.org/abs/1907.12679v1
• [cs.CL]One-to-X analogical reasoning on word embeddings: a case for diachronic armed conflict prediction from news texts
Andrey Kutuzov, Erik Velldal, Lilja Øvrelid
http://arxiv.org/abs/1907.12674v1
• [cs.CL]Reinforced Dynamic Reasoning for Conversational Question Generation
Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, Huan Sun
http://arxiv.org/abs/1907.12667v1
• [cs.CL]Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation
Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych
http://arxiv.org/abs/1907.12894v1
• [cs.CL]Zero-shot transfer for implicit discourse relation classification
Murathan Kurfalı, Robert Östling
http://arxiv.org/abs/1907.12885v1
• [cs.CR]Secure Exchange of Digital Goods in a Decentralized Data Marketplace
Ariel Futoransky, Carlos Sarraute, Ariel Waissbein, Daniel Fernandez, Matias Travizano, Martin Minnoni
http://arxiv.org/abs/1907.12625v1
• [cs.CV]2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy
Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus-C. Glüer, Reinhard Koch
http://arxiv.org/abs/1907.12868v1
• [cs.CV]4X4 Census Transform
Olivier Rukundo
http://arxiv.org/abs/1907.12891v1
• [cs.CV]An Empirical Study of Propagation-based Methods for Video Object Segmentation
Hengkai Guo, Wenji Wang, Guanjun Guo, Huaxia Li, Jiachen Liu, Qian He, Xuefeng Xiao
http://arxiv.org/abs/1907.12769v1
• [cs.CV]Artistic Domain Generalisation Methods are Limited by their Deep Representations
Padraig Boulton, Peter Hall
http://arxiv.org/abs/1907.12622v1
• [cs.CV]Bilateral Operators for Functional Maps
Gautam Pai, Mor Joseph-Rivlin, Ron Kimmel
http://arxiv.org/abs/1907.12993v1
• [cs.CV]ColorMapGAN: Unsupervised Domain Adaptation for Semantic Segmentation Using Color Mapping Generative Adversarial Networks
Onur Tasar, S L Happy, Yuliya Tarabalka, Pierre Alliez
http://arxiv.org/abs/1907.12859v1
• [cs.CV]Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
Rajeev Yasarla, Federico Perazzi, Vishal M. Patel
http://arxiv.org/abs/1907.13106v1
• [cs.CV]Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
Florian Kromp, Lukas Fischer, Eva Bozsaky, Inge Ambros, Wolfgang Doerr, Sabine Taschner-Mandl, Peter Ambros, Allan Hanbury
http://arxiv.org/abs/1907.12975v1
• [cs.CV]Deformable Filter Convolution for Point Cloud Reasoning
Yuwen Xiong, Mengye Ren, Renjie Liao, Kelvin Wong, Raquel Urtasun
http://arxiv.org/abs/1907.13079v1
• [cs.CV]Efficient Method for Categorize Animals in the Wild
Abulikemu Abuduweili, Xin Wu, Xingchen Tao
http://arxiv.org/abs/1907.13037v1
• [cs.CV]EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos
Haipeng Zeng, Xingbo Wang, Aoyu Wu, Yong Wang, Quan Li, Alex Endert, Huamin Qu
http://arxiv.org/abs/1907.12918v1
• [cs.CV]FingerNet: Pushing The Limits of Fingerprint Recognition Using Convolutional Neural Network
Shervin Minaee, Elham Azimi, Amirali Abdolrashidi
http://arxiv.org/abs/1907.12956v1
• [cs.CV]Grid Saliency for Context Explanations of Semantic Segmentation
Lukas Hoyer, Mauricio Munoz, Prateek Katiyar, Anna Khoreva, Volker Fischer
http://arxiv.org/abs/1907.13054v1
• [cs.CV]Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods
Francis Brochu
http://arxiv.org/abs/1907.12892v1
• [cs.CV]Interlaced Sparse Self-Attention for Semantic Segmentation
Lang Huang, Yuhui Yuan, Jianyuan Guo, Chao Zhang, Xilin Chen, Jingdong Wang
http://arxiv.org/abs/1907.12273v2
• [cs.CV]LEAF-QA: Locate, Encode & Attend for Figure Question Answering
Ritwick Chaudhry, Sumit Shekhar, Utkarsh Gupta, Pranav Maneriker, Prann Bansal, Ajay Joshi
http://arxiv.org/abs/1907.12861v1
• [cs.CV]MoBiNet: A Mobile Binary Network for Image Classification
Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen
http://arxiv.org/abs/1907.12629v1
• [cs.CV]Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction
Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
http://arxiv.org/abs/1907.12704v1
• [cs.CV]Open Set Domain Adaptation for Image and Action Recognition
Pau Panareda Busto, Ahsan Iqbal, Juergen Gall
http://arxiv.org/abs/1907.12865v1
• [cs.CV]Orientation-aware Semantic Segmentation on Icosahedron Spheres
Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla
http://arxiv.org/abs/1907.12849v1
• [cs.CV]Pay attention to the activations: a modular attention mechanism for fine-grained image recognition
Pau Rodríguez López, Diego Velazquez Dorta, Guillem Cucurull Preixens, Josep M. Gonfaus, F. Xavier Roca Marva, Jordi Gonzàlez Sabaté
http://arxiv.org/abs/1907.13075v1
• [cs.CV]PointHop: An Explainable Machine Learning Method for Point Cloud Classification
Min Zhang, Haoxuan You, Pranav Kadam, Shan Liu, C. -C. Jay Kuo
http://arxiv.org/abs/1907.12766v1
• [cs.CV]Propose-and-Attend Single Shot Detector
Ho-Deok Jang, Sanghyun Woo, Philipp Benz, Jinsun Park, In So Kweon
http://arxiv.org/abs/1907.12736v1
• [cs.CV]Safe Augmentation: Learning Task-Specific Transformations from Data
Irynei Baran, Orest Kupyn, Arseny Kravchenko
http://arxiv.org/abs/1907.12896v1
• [cs.CV]SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
Carlos Caetano, Jessica Sena, François Brémond, Jefersson A. dos Santos, William Robson Schwartz
http://arxiv.org/abs/1907.13025v1
• [cs.CV]Temporal Attentive Alignment for Large-Scale Video Domain Adaptation
Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Woo, Ruxin Chen, Jian Zheng
http://arxiv.org/abs/1907.12743v1
• [cs.CV]Temporal Localization of Moments in Video Collections with Natural Language
Victor Escorcia, Mattia Soldan, Josef Sivic, Bernard Ghanem, Bryan Russell
http://arxiv.org/abs/1907.12763v1
• [cs.CV]Towards Pure End-to-End Learning for Recognizing Multiple Text Sequences from an Image
Xu Zhenlong, Zhou shuigeng, Cheng zhanzhan, Bai fan, Niu yi, Pu shiliang
http://arxiv.org/abs/1907.12791v1
• [cs.CV]Weakly Supervised Body Part Parsing with Pose based Part Priors
Zhengyuan Yang, Yuncheng Li, Linjie Yang, Ning Zhang, Jiebo Luo
http://arxiv.org/abs/1907.13051v1
• [cs.CY]Coercion, Consent, and Participation in Citizen Science
Alison Reiheld, Pamela L. Gay
http://arxiv.org/abs/1907.13061v1
• [cs.CY]Exploring Perceptions of Veganism
Laura Jennings, Christopher M. Danforth, Peter Sheridan Dodds, Elizabeth Pinel, Lizzy Pope
http://arxiv.org/abs/1907.12567v1
• [cs.CY]How model accuracy and explanation fidelity influence user trust
Andrea Papenmeier, Gwenn Englebienne, Christin Seifert
http://arxiv.org/abs/1907.12652v1
• [cs.CY]Social Internet of Things and New Generation Computing — A Survey
Hamed Vahdat-Nejad, Zahra Mazhar Farimani, Arezoo Tavakolifar
http://arxiv.org/abs/1907.12737v1
• [cs.DC]A Workload and Programming Ease Driven Perspective of Processing-in-Memory
Saugata Ghose, Amirali Boroumand, Jeremie S. Kim, Juan Gómez-Luna, Onur Mutlu
http://arxiv.org/abs/1907.12947v1
• [cs.DC]A performance comparison of Dask and Apache Spark for data-intensive neuroimaging pipelines
Mathieu Dugré, Valérie Hayot-Sasson, Tristan Glatard
http://arxiv.org/abs/1907.13030v1
• [cs.DC]DeepPlace: Learning to Place Applications in Multi-Tenant Clusters
Subrata Mitra, Shanka Subhra Mondal, Nikhil Sheoran, Neeraj Dhake, Ravinder Nehra, Ramanuja Simha
http://arxiv.org/abs/1907.12916v1
• [cs.DC]Distributed Approximation Algorithms for Steiner Tree in the $\mathcal{CONGESTED}$ $\mathcal{CLIQUE}$
Parikshit Saikia, Sushanta Karmakar
http://arxiv.org/abs/1907.12011v2
• [cs.DC]Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems
Vasimuddin Md, Sanchit Misra, Heng Li, Srinivas Aluru
http://arxiv.org/abs/1907.12931v1
• [cs.DC]How to Make the Preconditioned Conjugate Gradient Method Resilient Against Multiple Node Failures
Carlos Pachajoa, Markus Levonyak, Wilfried N. Gansterer, Jesper Larsson Träff
http://arxiv.org/abs/1907.13077v1
• [cs.DC]Improving MPI Collective I/O Performance With Intra-node Request Aggregation
Qiao Kang, Sunwoo Lee, Kai-yuan Hou, Robert Ross, Ankit Agrawal, Alok Choudhary, Wei-keng Liao
http://arxiv.org/abs/1907.12656v1
• [cs.DC]Runtime QoS service for application-driven adaptation in network computing
Feras Al-Hawari, Elias Manolakos
http://arxiv.org/abs/1907.12986v1
• [cs.DS]Deterministic coloring algorithms in the LOCAL model
Dariusz R. Kowalski, Piotr Krysta
http://arxiv.org/abs/1907.12857v1
• [cs.DS]Iterative Budgeted Exponential Search
Malte Helmert, Tor Lattimore, Levi H. S. Lelis, Laurent Orseau, Nathan R. Sturtevant
http://arxiv.org/abs/1907.13062v1
• [cs.GR]Visual Entropy and the Visualization of Uncertainty
Nicolas S. Holliman, Arzu Coltekin, Sara J. Fernstad, Michael D. Simpson, Kevin J. Wilson, Andrew J. Woods
http://arxiv.org/abs/1907.12879v1
• [cs.HC]Augmented Reality Applied to LEGO Construction: AR-based Building Instructions with High Accuracy & Precision and Realistic Object-Hand Occlusions
Wei Yan
http://arxiv.org/abs/1907.12549v2
• [cs.HC]Tweet Moodifier: Towards giving emotional awareness to Twitter users
Belen Saldias F., Rosalind W. Picard
http://arxiv.org/abs/1907.11741v1
• [cs.IR]TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
Hannah Kim, Dongjin Choi, Barry Drake, Alex Endert, Haesun Park
http://arxiv.org/abs/1907.12079v1
• [cs.IT]Codes, differentially $δ$-uniform functions and $t$-designs
Chunming Tang, Cunsheng Ding, Maosheng Xiong
http://arxiv.org/abs/1907.13036v1
• [cs.IT]Convertible Codes: Efficient Conversion of Coded Data in Distributed Storage
Francisco Maturana, K. V. Rashmi
http://arxiv.org/abs/1907.13119v1
• [cs.IT]High dimensional affine codes whose square has a designed minimum distance
Ignacio García-Marco, Irene Márquez-Corbella, Diego Ruano
http://arxiv.org/abs/1907.13068v1
• [cs.IT]Intelligent Reflecting Surface Assisted Secrecy Communication via Joint Beamforming and Jamming
Xinrong Guan, Qingqing Wu, Rui Zhang
http://arxiv.org/abs/1907.12839v1
• [cs.IT]Linear codes of 2-designs associated with subcodes of the ternary generalized Reed-Muller codes
Cunsheng Ding, Chunming Tang, Vladimir D. Tonchev
http://arxiv.org/abs/1907.13032v1
• [cs.LG]A Factored Generalized Additive Model for Clinical Decision Support in the Operating Room
Zhicheng Cui, Bradley A Fritz, Christopher R King, Michael S Avidan, Yixin Chen
http://arxiv.org/abs/1907.12596v1
• [cs.LG]A Federated Learning Approach for Mobile Packet Classification
Evita Bakopoulou, Balint Tillman, Athina Markopoulou
http://arxiv.org/abs/1907.13113v1
• [cs.LG]A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried, Sergio Pascual-Diaz, Jordi Grau-Moya
http://arxiv.org/abs/1907.12392v2
• [cs.LG]A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes
Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok Choudhary, Jian Cao, Ankit Agrawal
http://arxiv.org/abs/1907.12953v1
• [cs.LG]Airbnb Price Prediction Using Machine Learning and Sentiment Analysis
Pouya Rezazadeh Kalehbasti, Liubov Nikolenko, Hoormazd Rezaei
http://arxiv.org/abs/1907.12665v1
• [cs.LG]An Experiment on Measurement of Pavement Roughness via Android-Based Smartphones
Piyasak Thiandee, Boonsap Witchayangkoon, Sayan Sirimontree, Ponlathep Lertworawanich
http://arxiv.org/abs/1907.13120v1
• [cs.LG]An alarm prediction framework for financial IT system using hybrid machine learning methods
Jingwen Wang, Jingxin Liu, Juntao Pu, Qinghong Yang, Zhongchen Miao, Jian Gao, You Song
http://arxiv.org/abs/1907.12778v1
• [cs.LG]Approximation Capabilities of Neural Ordinary Differential Equations
Han Zhang, Xi Gao, Jacob Unterman, Tom Arodz
http://arxiv.org/abs/1907.12998v1
• [cs.LG]Confounder-Aware Visualization of ConvNets
Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
http://arxiv.org/abs/1907.12727v1
• [cs.LG]Control of nonlinear, complex and black-boxed greenhouse system with reinforcement learning
Byunghyun Ban, Soobin Kim
http://arxiv.org/abs/1907.12690v1
• [cs.LG]Deep Gradient Boosting
Erhan Bilal
http://arxiv.org/abs/1907.12608v1
• [cs.LG]FDive: Learning Relevance Models using Pattern-based Similarity Measures
Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch
http://arxiv.org/abs/1907.12489v2
• [cs.LG]GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones, Ingmar Posner
http://arxiv.org/abs/1907.13052v1
• [cs.LG]Kernels on fuzzy sets: an overview
Jorge Guevara, Roberto Hirata Jr, Stéphane Canu
http://arxiv.org/abs/1907.12991v1
• [cs.LG]Model-Free Unsupervised Learning for Optimization Problems with Constraints
Chengjian Sun, Dong Liu, Chenyang Yang
http://arxiv.org/abs/1907.12706v1
• [cs.LG]Multi-Kernel Capsule Network for Schizophrenia Identification
Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li
http://arxiv.org/abs/1907.12827v1
• [cs.LG]Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
http://arxiv.org/abs/1907.12744v1
• [cs.LG]Predicting assisted ventilation in Amyotrophic Lateral Sclerosis using a mixture of experts and conformal predictors
Telma Pereira, Sofia Pires, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira
http://arxiv.org/abs/1907.13070v1
• [cs.LG]Prudence When Assuming Normality: an advice for machine learning practitioners
Waleed A. Yousef
http://arxiv.org/abs/1907.12852v1
• [cs.LG]Task Classification Model for Visual Fixation, Exploration, and Search
Ayush Kumar, Anjul Tyagi, Michael Burch, Daniel Weiskopf, Klaus Mueller
http://arxiv.org/abs/1907.12635v1
• [cs.LG]The Challenge of Imputation in Explainable Artificial Intelligence Models
Muhammad Aurangzeb Ahmad, Carly Eckert, Ankur Teredesai
http://arxiv.org/abs/1907.12669v1
• [cs.LG]Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie, Michael M. Bronstein, Gitta Kutyniok
http://arxiv.org/abs/1907.12972v1
• [cs.LO]Incremental Bounded Model Checking of Artificial Neural Networks in CUDA
Luiz H. Sena, Iury V. Bessa, Mikhail R. Gadelha, Lucas C. Cordeiro, Edjard Mota
http://arxiv.org/abs/1907.12933v1
• [cs.NE]An artifcial life approach to studying niche differentiation in soundscape ecology
David Kadish, Sebastian Risi, Laura Beloff
http://arxiv.org/abs/1907.12812v1
• [cs.NE]**EVO 2019 — Late-Breaking Abstracts Volume
A. M. Mora, A. I. Esparcia-Alcázar
http://arxiv.org/abs/1907.12698v1
• [cs.NE]Exponential Slowdown for Larger Populations: The $(μ+1)$-EA on Monotone Functions
Johannes Lengler, Xun Zou
http://arxiv.org/abs/1907.12821v1
• [cs.NE]On the Robustness of Median Sampling in Noisy Evolutionary Optimization
Chao Bian, Chao Qian, Yang Yu
http://arxiv.org/abs/1907.13100v1
• [cs.NE]Particle Swarm Optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks
Bin Wang, Bing Xue, Mengjie Zhang
http://arxiv.org/abs/1907.12659v1
• [cs.RO]Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee, Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg, Jeannette Bohg
http://arxiv.org/abs/1907.13098v1
• [cs.RO]The Use of Agricultural Robots in Orchard Management
Qin Zhang, Manoj Karkee, Amy Tabb
http://arxiv.org/abs/1907.13114v1
• [cs.RO]Towards Dynamic Simulation Guided Optimal Design of Tumbling Microrobots
Jiayin Xie, Chenghao Bi, David J. Cappelleri, Nilanjan Chakraborty
http://arxiv.org/abs/1907.12699v1
• [cs.SI]A Practical Guide for the Effective Evaluation of Twitter User Geolocation
Ahmed Mourad, Falk Scholer, Walid Magdy, Mark Sanderson
http://arxiv.org/abs/1907.12700v1
• [cs.SI]Government as Network Catalyst: Preferential Attachment in the High-Technology Sector
Travis A. Whetsell, Michael D. Siciliano, Kaila Witkowski, Michael J. Leiblein
http://arxiv.org/abs/1907.13087v1
• [cs.SI]Improved mutual information measure for classification and community detection
M. E. J. Newman, George T. Cantwell, Jean Gabriel Young
http://arxiv.org/abs/1907.12581v1
• [econ.EM]Detecting Identification Failure in Moment Condition Models
Jean-Jacques Forneron
http://arxiv.org/abs/1907.13093v1
• [econ.EM]Predicting credit default probabilities using machine learning techniques in the face of unequal class distributions
Anna Stelzer
http://arxiv.org/abs/1907.12996v1
• [eess.IV]Exploring large scale public medical image datasets
Luke Oakden-Rayner
http://arxiv.org/abs/1907.12720v1
• [eess.IV]Lung image segmentation by generative adversarial networks
Jiaxin Cai, Hongfeng Zhu
http://arxiv.org/abs/1907.13033v1
• [eess.IV]Pain Detection with fNIRS-Measured Brain Signals: A Personalized Machine Learning Approach Using the Wavelet Transform and Bayesian Hierarchical Modeling with Dirichlet Process Priors
Daniel Lopez-Martinez, Ke Peng, Arielle Lee, David Borsook, Rosalind Picard
http://arxiv.org/abs/1907.12830v1
• [eess.IV]Screening Mammogram Classification with Prior Exams
Jungkyu Park, Jason Phang, Yiqiu Shen, Nan Wu, S. Gene Kim, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
http://arxiv.org/abs/1907.13057v1
• [eess.IV]Synthesis and Inpainting-Based MR-CT Registration for Image-Guided Thermal Ablation of Liver Tumors
Dongming Wei, Sahar Ahmad, Jiayu Huo, Wen Peng, Yunhao Ge, Zhong Xue, Pew-Thian Yap, Wentao Li, Dinggang Shen, Qian Wang
http://arxiv.org/abs/1907.13020v1
• [eess.SP]Cooperative Beamforming with Predictive Relay Selection for Urban mmWave Communications
Anastasios Dimas, Dionysios S. Kalogerias, Athina P. Petropulu
http://arxiv.org/abs/1907.12616v1
• [eess.SP]Spatial Modulation for Ambient Backscatter Communications: Modeling and Analysis
Zhiang Niu, Wei Wang, Tao Jiang
http://arxiv.org/abs/1907.12707v1
• [eess.SP]Time Series Analysis of Big Data for Electricity Price and Demand to Find Cyber-Attacks part 2: Decomposition Analysis
Mohsen Rakhshandehroo, Mohammad Rajabdorri
http://arxiv.org/abs/1907.13016v1
• [eess.SY]Controllability and Accessibility Results for N-Link Horizontal Planar Manipulators with One Unactuated Joint
Tan Chen, Bill Goodwine
http://arxiv.org/abs/1907.13091v1
• [eess.SY]Stabilization of Linear Systems Across a Time-Varying AWGN Fading Channel
Lanan Su, Vijay Gupta, Graziano Chesi
http://arxiv.org/abs/1907.13024v1
• [math.FA]Euclidean Forward-Reverse Brascamp-Lieb Inequalities: Finiteness, Structure and Extremals
Thomas A. Courtade, Jingbo Liu
http://arxiv.org/abs/1907.12723v1
• [math.NA]Revisiting Performance of BiCGStab Methods for Solving Systems with Multiple Right-Hand Sides
Boris Krasnopolsky
http://arxiv.org/abs/1907.12874v1
• [math.ST]Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis
Baptiste Broto, François Bachoc, Jean-Marc Martinez
http://arxiv.org/abs/1907.12780v1
• [math.ST]Local Inference in Additive Models with Decorrelated Local Linear Estimator
Zijian Guo, Cun-Hui Zhang
http://arxiv.org/abs/1907.12732v1
• [math.ST]The variation of the posterior variance and Bayesian sample size determination
Jörg Martin, Clemens Elster
http://arxiv.org/abs/1907.12795v1
• [physics.data-an]Universality of power-law exponents by means of maximum likelihood estimation
Víctor Navas-Portella, Álvaro González, Isabel Serra, Eduard Vives, Álvaro Corral
http://arxiv.org/abs/1907.12833v1
• [physics.soc-ph]Influencer identification in dynamical complex systems
Sen Pei, Jiannan Wang, Flaviano Morone, Hernán A Makse
http://arxiv.org/abs/1907.13017v1
• [q-bio.NC]Modulation of early visual processing alleviates capacity limits in solving multiple tasks
Sushrut Thorat, Giacomo Aldegheri, Marcel A. J. van Gerven, Marius V. Peelen
http://arxiv.org/abs/1907.12309v2
• [quant-ph]Classical and Quantum Algorithms for Tensor Principal Component Analysis
M. B. Hastings
http://arxiv.org/abs/1907.12724v1
• [stat.AP]Classification Algorithm for High Dimensional Protein Markers in Time-course Data
Souvik Banerjee, Gajendra K. Vishwakarma, Atanu Bhattacharjee
http://arxiv.org/abs/1907.12853v1
• [stat.AP]Modeling long-term capacity degradation of lithium-ion batteries
Marcus Johnen, Simon Pitzen, Udo Kamps, Maria Kateri, Dirk Uwe Sauer
http://arxiv.org/abs/1907.12961v1
• [stat.AP]Using extreme value theory for the estimation of risk metrics for capacity adequacy assessment
Amy L Wilson, Stan Zachary
http://arxiv.org/abs/1907.13050v1
• [stat.CO]Adaptive spline fitting with particle swarm optimization
Soumya D. Mohanty, Ethan Fahnestock
http://arxiv.org/abs/1907.12160v2
• [stat.ME]Comparing partitions through the Matching Error
Mathias Bourel, Badih Ghattas, Meliza González
http://arxiv.org/abs/1907.12797v1
• [stat.ME]Effects of interventions and optimal strategies in the stochastic system approach to causality
Daniel Commenges, Mélanie Prague
http://arxiv.org/abs/1907.12804v1
• [stat.ME]On the estimation of average treatment effects with right-censored time to event outcome and competing risks
Brice Maxime Hugues Ozenne, Thomas Harder Scheike, Laila Stærk, Thomas Alexander Gerds
http://arxiv.org/abs/1907.12912v1
• [stat.ME]Propensity score analysis with latent covariates: Measurement error bias correction using the covariate’s posterior mean, aka the inclusive factor score
Trang Quynh Nguyen, Elizabeth A. Stuart
http://arxiv.org/abs/1907.12709v1
• [stat.ME]Smaller $p$-values via indirect information
Peter D. Hoff
http://arxiv.org/abs/1907.12589v1
• [stat.ML]AUC: Nonparametric Estimators and Their Smoothness
Waleed A. Yousef
http://arxiv.org/abs/1907.12851v1
• [stat.ML]Climate-driven statistical models as effective predictors of local dengue incidence in Costa Rica: A Generalized Additive Model and Random Forest approach
Paola Vásquez, Antonio Loría, Fabio Sanchez, Luis A. Barboza
http://arxiv.org/abs/1907.13095v1
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