AI Agent - arXivDaily 专题

2006.02763 2020-06-05 cs.SE 57%

Design Science Research Process: A Model for Producing and Presenting Information Systems Research

Ken Peffers, Tuure Tuunanen, Charles E Gengler, Matti Rossi, Wendy Hui, Ville Virtanen, Johanna Bragge

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

Journal ref in the Proceedings of the First International Conference on Design Science Research in Information Systems and Technology, pp. 83-16. 2006, Claremont, California, USA

1907.08236 2020-06-05 cs.CL 57%

SLATE: A Super-Lightweight Annotation Tool for Experts

Jonathan K. Kummerfeld

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

Comments To appear at ACL as a demo

Journal ref ACL: Demonstrations (2019) 7-12

2006.01673 2020-06-03 cs.SI cs.CY cs.LG 57%

Learning Opinion Dynamics From Social Traces

Corrado Monti, Gianmarco De Francisci Morales, Francesco Bonchi

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Comments Published at KDD2020

Journal ref Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD2020)

1810.10342 2020-06-03 cs.CV cs.LG stat.ML 57%

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Avinash Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A Keane, Greg S Corrado, Lily Peng, Dale R Webster

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

Journal ref Nature Communications (2020)

2005.08146 2020-05-27 cs.CL cs.IR 57%

Semi-Automating Knowledge Base Construction for Cancer Genetics

Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace

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

Comments In proceedings of the Conference on Automated Knowledge Base Construction (AKBC), 2020

1805.11384 2020-05-26 cs.MA cs.LG math.OC 57%

Supervised Learning Under Distributed Features

Bicheng Ying, Kun Yuan, Ali H. Sayed

专题命中工作流自动化：agent(abstract)；分类 cs.LG

2005.05890 2020-05-13 math.NA cs.LG cs.NA 57%

Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations

Wayne Isaac Tan Uy, Benjamin Peherstorfer

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

2005.05627 2020-05-13 cs.SE 57%

Specifying and Model Checking Workflows of Single Page Applications with TLA+

Gefei Zhang

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

2005.04830 2020-05-13 cs.NI cs.LG 57%

Integrated Methodology to Cognitive Network Slice Management in Virtualized 5G Networks

Xenofon Vasilakos, Navid Nikaein, Dean H Lorenz, Berkay Koksal, Nasim Ferdosian

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

Comments 22 pages, 4 figures, 5 author bios and photos

2005.01994 2020-05-13 cs.SE cs.SY eess.SY 57%

DPN -- Dependability Priority Numbers

Zhensheng Guo, Marc Zeller

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

Journal ref Papadopoulos Y., Aslansefat K., Katsaros P., Bozzano M. (eds) Model-Based Safety and Assessment. IMBSA 2019. Lecture Notes in Computer Science, vol 11842. Springer, Cham

2004.10975 2020-05-13 eess.IV cs.LG stat.ML 57%

Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study

Isarun Chamveha, Trongtum Tongdee, Pairash Saiviroonporn, Warasinee Chaisangmongkon

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

Comments 9 pages, 2 figure, 3 tables

2005.03818 2020-05-11 cs.HC cs.AI 57%

Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction

Youngduck Choi, Yoonho Na, Youngjik Yoon, Jonghun Shin, Chan Bae, Hongseok Suh, Byungsoo Kim, Jaewe Heo

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

2005.01520 2020-05-05 cs.LG cs.DB 57%

Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development

Angela Lee, Doris Xin, Doris Lee, Aditya Parameswaran

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

1907.08006 2020-04-30 stat.ML cs.LG 57%

optimalFlow: Optimal-transport approach to flow cytometry gating and population matching

Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes, Carlos Matrán, Agustín Mayo-Íscar

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

Comments 26 pages, 6 figures, 5 tables

2004.13654 2020-04-29 cs.AI 57%

Pitfalls of learning a reward function online

Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg

专题命中工作流自动化：agent(abstract)；分类 cs.AI

2004.03592 2020-04-22 cs.AI cs.LO 57%

A Structural Approach to Dynamic Migration in Petri Net Models of Structured Workflows

Ahana Pradhan, Rushikesh K. Joshi

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

2004.06843 2020-04-21 cs.LG stat.ML 57%

Bayesian differential programming for robust systems identification under uncertainty

Yibo Yang, Mohamed Aziz Bhouri, Paris Perdikaris

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

Comments 22 pages, 12 figures

1411.0440 2020-04-21 cs.AI 57%

Modelling serendipity in a computational context

Joseph Corneli, Anna Jordanous, Christian Guckelsberger, Alison Pease, Simon Colton

专题命中工作流自动化：agent(abstract)；分类 cs.AI

Comments 68pp, submitted to New Generation Computing special issue on New Directions in Computational Creativity

1810.01539 2020-04-20 stat.ML cs.LG 57%

Automated learning with a probabilistic programming language: Birch

Lawrence M. Murray, Thomas B. Schön

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

2004.00227 2020-04-16 physics.geo-ph cs.LG eess.IV 57%

Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach

Ali Siahkoohi, Gabrio Rizzuti, Felix J. Herrmann

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

2004.04618 2020-04-10 cs.LG eess.SP stat.ML 57%

Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization

You Li, Xin Hu, Yuan Zhuang, Zhouzheng Gao, Peng Zhang, Naser El-Sheimy

专题命中工作流自动化：agent(abstract)；分类 cs.LG

2003.12141 2020-03-30 cs.DC cs.AI cs.CY 57%

Scalable Deployment of AI Time-series Models for IoT

Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Seshu Tirupathi

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

Journal ref Workshop AI for Internet of Things, IJCAI 2019

2003.07233 2020-03-17 cs.LG cs.CR 57%

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models

Kiran Karra, Chace Ashcraft, Neil Fendley

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

Comments 8 pages, 16 figures

2003.05370 2020-03-12 cs.AI 57%

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules

Ernesto Jiménez-Ruiz, Asan Agibetov, Jiaoyan Chen, Matthias Samwald, Valerie Cross

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

Comments Accepted to the 24th European Conference on Artificial Intelligence (ECAI 2020). arXiv admin note: text overlap with arXiv:1805.12402

2003.04261 2020-03-10 cs.LG stat.ML 57%

Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data

Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie Steadman, Audris Mockus

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

2002.09571 2020-03-05 cs.LG cs.CV cs.NE stat.ML 57%

Learning to Continually Learn

Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney

专题命中工作流自动化：agent(abstract)；分类 cs.LG

2002.12207 2020-02-28 cs.RO cs.LG cs.SY eess.SY 57%

Assembly robots with optimized control stiffness through reinforcement learning

Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino, Toshiaki Tsuji

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

Comments Under review at the IEEE Robotics Automation Letter (RAL) and the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

1907.01166 2020-02-26 cs.CL 57%

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems

Hung Le, Doyen Sahoo, Nancy F. Chen, Steven C. H. Hoi

专题命中工作流自动化：agent(abstract)；分类 cs.CL

Comments Accepted at ACL 2019 (Long Paper)

Journal ref Association for Computational Linguistics (2019) 5612-5623

2001.00288 2020-02-17 cs.LG stat.ML 57%

Online Similarity Learning with Feedback for Invoice Line Item Matching

Chandresh Kumar Maurya, Neelamadhav Gantayat, Sampath Dechu, Tomas Horvath

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Journal ref published as workshop paper in AAAI workshop on intelligent processing automation, 2020

1910.10209 2020-02-17 eess.IV cs.CV cs.LG 57%

Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification

Amey Chaware, Colin L. Cooke, Kanghyun Kim, Roarke Horstmeyer

专题命中工作流自动化：agent(abstract)；分类 cs.LG

Comments 5 pages, 5 figures

1. 工作流自动化 10535 篇

Design Science Research Process: A Model for Producing and Presenting Information Systems Research

SLATE: A Super-Lightweight Annotation Tool for Experts

Learning Opinion Dynamics From Social Traces

Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning

Semi-Automating Knowledge Base Construction for Cancer Genetics

Supervised Learning Under Distributed Features

Probabilistic error estimation for non-intrusive reduced models learned from data of systems governed by linear parabolic partial differential equations

Specifying and Model Checking Workflows of Single Page Applications with TLA+

Integrated Methodology to Cognitive Network Slice Management in Virtualized 5G Networks

DPN -- Dependability Priority Numbers

Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study

Choose Your Own Question: Encouraging Self-Personalization in Learning Path Construction

Demystifying a Dark Art: Understanding Real-World Machine Learning Model Development

optimalFlow: Optimal-transport approach to flow cytometry gating and population matching

Pitfalls of learning a reward function online

A Structural Approach to Dynamic Migration in Petri Net Models of Structured Workflows

Bayesian differential programming for robust systems identification under uncertainty

Modelling serendipity in a computational context

Automated learning with a probabilistic programming language: Birch

Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach

Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization

Scalable Deployment of AI Time-series Models for IoT

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules

Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data

Learning to Continually Learn

Assembly robots with optimized control stiffness through reinforcement learning

Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems

Online Similarity Learning with Feedback for Invoice Line Item Matching

Towards an Intelligent Microscope: adaptively learned illumination for optimal sample classification