AI Agent - arXivDaily 专题

2005.11016 2020-11-25 cs.AI 57%

Reinforcement learning with human advice: a survey

Anis Najar, Mohamed Chetouani

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments Under review

2011.11579 2020-11-24 cs.CG cs.LG 57%

The Interconnectivity Vector: A Finite-Dimensional Vector Representation of Persistent Homology

Megan Johnson, Jae-Hun Jung

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments 28 pages, 20 figures

1904.01736 2020-11-24 cs.MA cs.NE cs.SE 57%

Testing Self-Organizing Multiagent Systems

Nathalia Nascimento, Carlos Lucena, Paulo Alencar, Carlos Juliano Viana

专题命中工作流自动化：agent(abstract)；分类 cs.SE

Comments 9 pages, double column

1902.05009 2020-11-23 cs.LG cs.HC stat.ML 57%

ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning

Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments Published in the ACM Conference on Human Factors in Computing Systems (CHI), 2019, Glasgow, Scotland UK

Journal ref In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). Association for Computing Machinery, New York, NY, USA, Paper 681, 1-12

2009.07608 2020-11-20 eess.IV cs.CV cs.LG eess.SP physics.med-ph 57%

Deep Learning in Photoacoustic Tomography: Current approaches and future directions

Andreas Hauptmann, Ben Cox

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Journal ref J. of Biomedical Optics, 25(11), 112903 (2020)

2011.08489 2020-11-18 cs.SE 57%

Continuous Open Source License Compliance

Simon Phipps, Stefano Zacchiroli

专题命中工作流自动化：workflow(abstract)；分类 cs.SE

Comments IEEE Computer, IEEE, In press

2011.06198 2020-11-13 cs.CL 57%

Enabling Interactive Transcription in an Indigenous Community

Éric Le Ferrand, Steven Bird, Laurent Besacier

专题命中工作流自动化：workflow(abstract)；分类 cs.CL

Comments inproceedings Coling 2020

2005.04374 2020-10-29 cs.RO cs.AI cs.SY eess.SY math.OC 57%

Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems

Yashwanth Kumar Nakka, Anqi Liu, Guanya Shi, Anima Anandkumar, Yisong Yue, Soon-Jo Chung

专题命中工作流自动化：planning(abstract)；分类 cs.AI

Comments Accepted IEEE Robotics and Automation Letters 2020

1911.12562 2020-10-28 cs.CR cs.LG 57%

Towards Security Threats of Deep Learning Systems: A Survey

Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments 28 pages, 6 figures

Journal ref IEEE Transactions on Software Engineering 2020

2010.13600 2020-10-27 cs.LG cs.DC 57%

Optimal Importance Sampling for Federated Learning

Elsa Rizk, Stefan Vlaski, Ali H. Sayed

专题命中工作流自动化：agent(abstract)；分类 cs.LG

2010.07213 2020-10-16 cs.DB cs.AI 57%

Data Readiness Report

Shazia Afzal, Rajmohan C, Manish Kesarwani, Sameep Mehta, Hima Patel

专题命中工作流自动化：workflow(abstract)；分类 cs.AI

2003.14127 2020-10-15 cs.LG stat.ML 57%

Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time

Gerome Vivar, Kamilia Mullakaeva, Andreas Zwergal, Nassir Navab, Seyed-Ahmad Ahmadi

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

1910.01074 2020-10-15 cs.LG stat.ML 57%

Formal Language Constraints for Markov Decision Processes

Eleanor Quint, Dong Xu, Samuel Flint, Stephen Scott, Matthew Dwyer

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Comments NeurIPS 2019 Workshop on Safety and Robustness in Decision Making

2010.06505 2020-10-14 cs.SE 57%

A Lean and Highly-automated Model-Based Software Development Process Based on DO-178C/DO-331

Konstantin Dmitriev, Shanza Ali Zafar, Kevin Schmiechen, Yi Lai, Micheal Saleab, Pranav Nagarajan, Daniel Dollinger, Markus Hochstrasser, Stephan Myschik, Florian Holzapfel

专题命中工作流自动化：workflow(abstract)；分类 cs.SE

2010.05348 2020-10-13 physics.comp-ph cs.LG 57%

Automatic Particle Trajectory Classification in Plasma Simulations

Stefano Markidis, Ivy Peng, Artur Podobas, Itthinat Jongsuebchoke, Gabriel Bengtsson, Pawel Herman

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments Accepted for publication at AI4S: Workshop on Artificial Intelligence and Machine Learning for Scientific Applications

2010.02800 2020-10-07 physics.med-ph cs.LG 57%

Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty

Casey Stowers, Taeksang Lee, Ilias Bilionis, Arun Gosain, Adrian Buganza Tepole

专题命中工作流自动化：planning(abstract)；分类 cs.LG

Comments 17 pages, 9 figures. Submitted for publication

2010.02506 2020-10-07 cs.LG stat.ML 57%

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Comments arXiv admin note: substantial text overlap with arXiv:2008.12001

2002.01441 2020-10-07 cs.LG stat.ML 57%

A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach

Alireza Rezazadeh

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

2010.02087 2020-10-06 physics.geo-ph cs.LG 57%

Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration

Nick Brown, Anna Roubickova, Ioanna Lampaki, Lucy MacGregor, Michelle Ellis, Paola Vera de Newton

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments This is the pre-peer reviewed version of the following article: Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration, which has been published in final form at https://doi.org/10.1002/cpe.5655

2010.02086 2020-10-06 cs.CV cs.CY cs.LG eess.SP 57%

TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos

Kailas Vodrahalli, Roxana Daneshjou, Roberto A Novoa, Albert Chiou, Justin M Ko, James Zou

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments 12 pages, 5 figures, Preprint of an article published in Pacific Symposium on Biocomputing \c{opyright} 2020 World Scientific Publishing Co., Singapore, http://psb.stanford.edu/

2010.01835 2020-10-06 physics.comp-ph cs.LG hep-ex hep-ph 57%

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

Cheng Chen, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments 15 pages, 12 figures

2010.00509 2020-10-02 cs.LG stat.ML 57%

Cardea: An Open Automated Machine Learning Framework for Electronic Health Records

Sarah Alnegheimish, Najat Alrashed, Faisal Aleissa, Shahad Althobaiti, Dongyu Liu, Mansour Alsaleh, Kalyan Veeramachaneni

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

2009.12600 2020-10-01 cs.AI 57%

Online Learning of Non-Markovian Reward Models

Gavin Rens, Jean-François Raskin, Raphaël Reynouad, Giuseppe Marra

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments 24 pages, single column, 7 figures. arXiv admin note: substantial text overlap with arXiv:2001.09293

2009.13265 2020-09-29 cs.LG cs.SY eess.SY 57%

Deep Reinforcement Learning for Process Synthesis

Laurence Illing Midgley

专题命中工作流自动化：agent(abstract)；分类 cs.LG

2005.02587 2020-09-25 physics.app-ph cs.LG physics.flu-dyn 57%

Modeling nanoconfinement effects using active learning

Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari Viswanathan

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments Full paper

Journal ref J. Phys. Chem. C 2020

2009.11189 2020-09-24 q-fin.GN cs.LG q-fin.PM 57%

Qlib: An AI-oriented Quantitative Investment Platform

Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, Tie-Yan Liu

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

2009.09928 2020-09-22 cs.CV cs.GR cs.LG 57%

Deep Neural Network Approach for Annual Luminance Simulations

Yue Liu, Alex Colburn, Mehlika Inanici

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

2007.03363 2020-09-22 cs.AI cs.MA cs.RO 57%

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment

Ithan Moreira, Javier Rivas, Francisco Cruz, Richard Dazeley, Angel Ayala, Bruno Fernandes

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments In press journal Applied Sciences

2009.01420 2020-09-18 cs.CE cs.LG 57%

Accelerating engineering design by automatic selection of simulation cases through Pool-Based Active Learning

J. H. Gaspar Elsas, N. A. G. Casaprima, I. F. M. Menezes

专题命中工作流自动化：workflow(abstract)；分类 cs.LG

Comments 28 pages, 9 figures

2009.06082 2020-09-15 cs.AI 57%

Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA

Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana Mukherjee, Tanveer Syeda-Mahmood

专题命中工作流自动化：workflow(abstract)；分类 cs.AI

Journal ref Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-398-8, pages 178-186. 2020

1. 工作流自动化 10535 篇

Reinforcement learning with human advice: a survey

The Interconnectivity Vector: A Finite-Dimensional Vector Representation of Persistent Homology

Testing Self-Organizing Multiagent Systems

ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning

Deep Learning in Photoacoustic Tomography: Current approaches and future directions

Continuous Open Source License Compliance

Enabling Interactive Transcription in an Indigenous Community

Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems

Towards Security Threats of Deep Learning Systems: A Survey

Optimal Importance Sampling for Federated Learning

Data Readiness Report

Peri-Diagnostic Decision Support Through Cost-Efficient Feature Acquisition at Test-Time

Formal Language Constraints for Markov Decision Processes

A Lean and Highly-automated Model-Based Software Development Process Based on DO-178C/DO-331

Automatic Particle Trajectory Classification in Plasma Simulations

Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty

Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop

A Generalized Flow for B2B Sales Predictive Modeling: An Azure Machine Learning Approach

Machine learning on Crays to optimise petrophysical workflows in oil and gas exploration

TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

Cardea: An Open Automated Machine Learning Framework for Electronic Health Records

Online Learning of Non-Markovian Reward Models

Deep Reinforcement Learning for Process Synthesis

Modeling nanoconfinement effects using active learning

Qlib: An AI-oriented Quantitative Investment Platform

Deep Neural Network Approach for Annual Luminance Simulations

Deep Reinforcement Learning with Interactive Feedback in a Human-Robot Environment

Accelerating engineering design by automatic selection of simulation cases through Pool-Based Active Learning

Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA