AI Agent

Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow

Jeeyung Kim, Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu

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

A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases

Jingqing Zhang, Atri Sharma, Luis Bolanos, Tong Li, Ashwani Tanwar, Vibhor Gupta, Yike Guo

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

Comments Under review

"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics

Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang

专题命中 工作流自动化 ：agent(title,abstract)；分类 cs.CL

Comments Accepted by IJCAI 2022

Language-Preserving Reduction Rules for Block-Structured Workflow Nets

Sander J. J. Leemans

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

Comments 20 pages, 3 figures

A Machine-Learning-Aided Visual Analysis Workflow for Investigating Air Pollution Data

Yun-Hsin Kuo, Takanori Fujiwara, Charles C. -K. Chou, Chun-houh Chen, Kwan-Liu Ma

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

Comments To appear in the Proceedings of IEEE PacificVis 2022

A Deep Learning-Accelerated Data Assimilation and Forecasting Workflow for Commercial-Scale Geologic Carbon Storage

Hewei Tang, Pengcheng Fu, Christopher S. Sherman, Jize Zhang, Xin Ju, François Hamon, Nicholas A. Azzolina, Matthew Burton-Kelly, Joseph P. Morris

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

MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems

Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings

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

Comments Accepted in IEEE Transactions on Parallel and Distributed Systems (Special Issue on PDC for AI), 2022

SecDocker: Hardening the Continuous Integration Workflow

David Fernández González, Francisco Javier Rodríguez Lera, Gonzalo Esteban, Camino Fernández Llamas

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

Comments Preprint: 15 pages, 5 figures, 2 tables. Public repository: https://github.com/uleroboticsgroup/Secdocker

Journal ref SN COMPUT. SCI. 3, 80 (2022)

QKSA: Quantum Knowledge Seeking Agent -- resource-optimized reinforcement learning using quantum process tomography

Aritra Sarkar, Zaid Al-Ars, Harshitta Gandhi, Koen Bertels

专题命中 工作流自动化 ：agent(title,abstract)；分类 cs.AI

Comments superseding initial QKSA framework as presented in arXiv:2107.01429

In Search of Ambiguity: A Three-Stage Workflow Design to Clarify Annotation Guidelines for Crowd Workers

Vivek Krishna Pradhan, Mike Schaekermann, Matthew Lease

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

Comments 22 pages, 5 figures, 4 tables

Label Assistant: A Workflow for Assisted Data Annotation in Image Segmentation Tasks

Marcel P. Schilling, Luca Rettenberger, Friedrich Münke, Haijun Cui, Anna A. Popova, Pavel A. Levkin, Ralf Mikut, Markus Reischl

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

Journal ref Proceedings - 31. Workshop Computational Intelligence, 2021

Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents

Hugo Laurençon, Charbel-Raphaël Ségerie, Johann Lussange, Boris S. Gutkin

专题命中 工作流自动化 ：autonomous agent(title)；agent(abstract)；分类 cs.AI

Using Machine Learning to Emulate Agent-Based Simulations

Claudio Angione, Eric Silverman, Elisabeth Yaneske

专题命中 工作流自动化 ：agent(title,abstract)；分类 cs.LG

A Robust Deep Learning Workflow to Predict Multiphase Flow Behavior during Geological CO2 Sequestration Injection and Post-Injection Periods

Bicheng Yan, Bailian Chen, Dylan Robert Harp, Rajesh J. Pawar

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

Comments 16 pages, 13 figures, 4 tables

QKSA: Quantum Knowledge Seeking Agent

Aritra Sarkar

专题命中 工作流自动化 ：agent(title,abstract)；分类 cs.AI

Comments pre-print: motivation, core thesis and baseline framework

pyWATTS: Python Workflow Automation Tool for Time Series

Benedikt Heidrich, Andreas Bartschat, Marian Turowski, Oliver Neumann, Kaleb Phipps, Stefan Meisenbacher, Kai Schmieder, Nicole Ludwig, Ralf Mikut, Veit Hagenmeyer

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

Business Suitability Principles for Workflow Modelling

Alistair P. Barros, Arthur H. M. ter Hofstede, Henderik A. Proper, Peter N. Creasy

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

WfChef: Automated Generation of Accurate Scientific Workflow Generators

Tainã Coleman, Henri Casanova, Rafael Ferreira da Silva

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

MIcro-Surgical Anastomose Workflow recognition challenge report

Arnaud Huaulmé, Duygu Sarikaya, Kévin Le Mut, Fabien Despinoy, Yonghao Long, Qi Dou, Chin-Boon Chng, Wenjun Lin, Satoshi Kondo, Laura Bravo-Sánchez, Pablo Arbeláez, Wolfgang Reiter, Manoru Mitsuishi, Kanako Harada, Pierre Jannin

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

Comments MICCAI2020 challenge report, 36 pages including 15 for supplementary material (complet results for each participating teams), 17 figures

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Farah Fahim, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo Jindariani, Nhan Tran, Luca P. Carloni, Giuseppe Di Guglielmo, Philip Harris, Jeffrey Krupa, Dylan Rankin, Manuel Blanco Valentin, Josiah Hester, Yingyi Luo, John Mamish, Seda Orgrenci-Memik, Thea Aarrestad, Hamza Javed, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers, Javier Duarte, Scott Hauck, Shih-Chieh Hsu, Jennifer Ngadiuba, Mia Liu, Duc Hoang, Edward Kreinar, Zhenbin Wu

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

Comments 10 pages, 8 figures, TinyML Research Symposium 2021

Do Bots Modify the Workflow of GitHub Teams?

Samaneh Saadat, Natalia Colmenares, Gita Sukthankar

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

EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems

Xuejun Li, Ran Ding, Xiao Liu, Jia Xu, Yun Yang, John Grundy

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

Comments 4 pages, 6 figures. For the demo video, please visit: https://youtu.be/2e7Vm7rM5Zc

An Empirical Study on Serverless Workflow Service

Jinfeng Wen, Yi Liu

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

Face-work for Human-Agent Joint Decision-Making

JiHyun Jeong, Guy Hoffman

专题命中 工作流自动化 ：agent(title,abstract)；分类 cs.AI

Comments In Proceedings of the AAAI 2020 Fall Symposium Series on Trust and Explainability in Artificial Intelligence for Human-Robot Interaction

Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback

Duo Xu, Mohit Agarwal, Ekansh Gupta, Faramarz Fekri, Raghupathy Sivakumar

专题命中 工作流自动化 ：agent(title,abstract)；分类 cs.LG

DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials

Arash Rabbani, Masoud Babaei, Reza Shams, Ying Da Wang, Traiwit Chung

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

Journal ref Advances in Water Resources, 2020, 103787

On the Effectiveness of Minisum Approval Voting in an Open Strategy Setting: An Agent-Based Approach

Joop van de Heijning, Stephan Leitner, Alexandra Rausch

专题命中 工作流自动化 ：agent(title,abstract)；分类 cs.AI

Comments 5 pages, 3 figures; ; added literature review section, expanded and strengthened introduction and conclusion, grammar and formatting

An Open-Source Integration of Process Mining Features into the Camunda Workflow Engine: Data Extraction and Challenges

Alessandro Berti, Wil van der Aalst, David Zang, Magdalena Lang

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

Multi-modal Cooking Workflow Construction for Food Recipes

Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua

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

Comments This manuscript has been accepted at ACM MM 2020

Agent-Based Software Testing: A Definition and Systematic Mapping Study

Pavithra Perumal Kumaresen, Mirgita Frasheri, Eduard Enoiu

专题命中 工作流自动化 ：agent(title,abstract)；分类 cs.SE

Comments (v0), Submitted to IEEE International Workshop on Automated and Intelligent Software Testing (AIST 2020)