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共收录 10469 信号源:cs.AI, cs.CL, cs.LG, cs.SE

1. 工作流自动化 10469 篇

2206.06308 2022-06-15 cs.CL cs.AI 62%

Knowledge Graph Construction and Its Application in Automatic Radiology Report Generation from Radiologist's Dictation

Kaveri Kale, Pushpak Bhattacharyya, Aditya Shetty, Milind Gune, Kush Shrivastava, Rustom Lawyer, Spriha Biswas

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

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2205.10466 2022-05-24 cs.HC cs.AI cs.LG 62%

A Survey on Physiological Signal Based Emotion Recognition

Zeeshan Ahmad, Naimul Khan

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

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2205.07802 2022-05-17 cs.LG cs.AI stat.ML 62%

The Primacy Bias in Deep Reinforcement Learning

Evgenii Nikishin, Max Schwarzer, Pierluca D'Oro, Pierre-Luc Bacon, Aaron Courville

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

Comments ICML 2022; code at https://github.com/evgenii-nikishin/rl_with_resets

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2205.05882 2022-05-13 cs.LG cs.AI cs.HC cs.RO 62%

E-Mail Assistant -- Automation of E-Mail Handling and Management using Robotic Process Automation

Arpit Khare, Sudhakar Singh, Richa Mishra, Shiv Prakash, Pratibha Dixit

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

Comments 7 pages, 4 figures, Accepted in DASA 2022

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2204.10382 2022-04-25 cs.AI cs.LG 62%

Facilitating automated conversion of scientific knowledge into scientific simulation models with the Machine Assisted Generation, Calibration, and Comparison (MAGCC) Framework

Chase Cockrell, Scott Christley, Gary An

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

Comments 20 Pages, 8 Figures, 5 Tables

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2204.03959 2022-04-12 cs.AI cs.LG 62%

Blockchain as an Enabler for Transfer Learning in Smart Environments

Amin Anjomshoaa, Edward Curry

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

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2204.02558 2022-04-07 cs.AI cs.LG 62%

DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning

Youpeng Zhao, Jian Zhao, Xunhan Hu, Wengang Zhou, Houqiang Li

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

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2112.05923 2022-04-05 cs.LG cs.AI cs.DC 62%

ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement Learning

Xiao-Yang Liu, Zechu Li, Zhuoran Yang, Jiahao Zheng, Zhaoran Wang, Anwar Walid, Jian Guo, Michael I. Jordan

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

Comments 9 pages, 7 figures

Journal ref Deep Reinforcement Learning Workshop, NeurIPS 2021

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2203.14686 2022-03-29 cs.SE cs.AI 62%

REPTILE: A Proactive Real-Time Deep Reinforcement Learning Self-adaptive Framework

Flavio Corradini, Miichele Loreti, Marco Piangerelli, Giacomo Rocchetti

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

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2109.10294 2022-03-25 cs.CL cs.SE 62%

DeepSTL -- From English Requirements to Signal Temporal Logic

Jie He, Ezio Bartocci, Dejan Ničković, Haris Isakovic, Radu Grosu

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

Comments 13 pages

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2203.08144 2022-03-17 q-fin.ST cs.CL cs.LG cs.SI 62%

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies

Pok Wah Chan

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

Comments 72 pages

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2203.06467 2022-03-15 cs.IR cs.AI cs.LG 62%

G$^3$SR: Global Graph Guided Session-based Recommendation

Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu

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

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1804.05044 2022-03-02 cs.AI cs.SE 62%

Specifying, Monitoring, and Executing Workflows in Linked Data Environments

Tobias Käfer, Andreas Harth

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

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2104.07495 2022-02-24 cs.LG cs.AI stat.ML 62%

Curiosity-Driven Exploration via Latent Bayesian Surprise

Pietro Mazzaglia, Ozan Catal, Tim Verbelen, Bart Dhoedt

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

Comments Published at AAAI 22. Project website: (https://lbsexploration.github.io/)

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2202.10678 2022-02-23 cs.AI cs.GT cs.LG econ.TH 62%

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

Jibang Wu, Zixuan Zhang, Zhe Feng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan, Haifeng Xu

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

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2202.05433 2022-02-15 cs.LG cs.AI stat.AP 62%

A Survey on Programmatic Weak Supervision

Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner

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

Comments 8 pages

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2202.04337 2022-02-10 cs.LG cs.SE cs.SY eess.SY 62%

Scenario-Assisted Deep Reinforcement Learning

Raz Yerushalmi, Guy Amir, Achiya Elyasaf, David Harel, Guy Katz, Assaf Marron

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

Journal ref In Proceedings of MODELSWARD 2022: the 10th International Conference on Model-Driven Engineering and Software Development, ISBN 978-989-758-550-0, ISSN 2184-4348, pages 310-319

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2105.14829 2022-02-07 cs.RO cs.AI cs.CV cs.LG 62%

Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation

Stephen James, Andrew J. Davison

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

Comments IEEE Robotics and Automation Letters, 2022 (+ presentation at ICRA 2022). Videos and code found at: https://sites.google.com/view/q-attention

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2008.11707 2022-01-19 cs.LG cs.AI cs.CY stat.ML 62%

Bandit Data-Driven Optimization

Zheyuan Ryan Shi, Zhiwei Steven Wu, Rayid Ghani, Fei Fang

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

Comments This is the complete version of the paper. A version of this paper is also published at AAAI-22

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2112.01535 2021-12-20 eess.IV cs.AI cs.LG 62%

Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images

Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon

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

Comments IEEE TETCI. 14 pages, 8 figures, 5 tables

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2112.08930 2021-12-17 cs.CV cs.AI cs.LG cs.MM stat.ML 62%

Intelli-Paint: Towards Developing Human-like Painting Agents

Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng

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

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2005.00840 2021-12-07 cs.LG cs.AI 62%

Decision Support for Intoxication Prediction Using Graph Convolutional Networks

Hendrik Burwinkel, Matthias Keicher, David Bani-Harouni, Tobias Zellner, Florian Eyer, Nassir Navab, Seyed-Ahmad Ahmadi

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

Comments 10 pages, 3 figures

Journal ref Medical Image Computing and Computer Assisted Intervention (MICCAI 2020)

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2111.02398 2021-11-05 eess.IV cs.AI cs.CV cs.LG 62%

Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods

Zohaib Salahuddin, Henry C Woodruff, Avishek Chatterjee, Philippe Lambin

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

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2110.10817 2021-10-22 stat.ML cs.CL cs.LG stat.AP 62%

The R package sentometrics to compute, aggregate and predict with textual sentiment

David Ardia, Keven Bluteau, Samuel Borms, Kris Boudt

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

Journal ref Journal of Statistical Software, 2021, 99, 1-40

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2110.10674 2021-10-22 cs.LG cs.AI 62%

SEA: Graph Shell Attention in Graph Neural Networks

Christian M. M. Frey, Yunpu Ma, Matthias Schubert

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

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2008.03229 2021-10-22 cs.AI cs.LG 62%

Towards Sample Efficient Agents through Algorithmic Alignment

Mingxuan Li, Michael L. Littman

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

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2110.08253 2021-10-19 cs.LG cs.AI q-bio.GN 62%

A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research

Thomas P Quinn, Sunil Gupta, Svetha Venkatesh, Vuong Le

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

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2110.03097 2021-10-08 cs.LG cs.AI physics.app-ph stat.ME 62%

SWAT Watershed Model Calibration using Deep Learning

M. K. Mudunuru, K. Son, P. Jiang, X. Chen

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

Comments 23

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2110.01108 2021-10-05 cs.LG cs.AI cs.HC 62%

Human-Centered AI for Data Science: A Systematic Approach

Dakuo Wang, Xiaojuan Ma, April Yi Wang

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

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2108.02550 2021-10-05 cs.HC cs.AI cs.LG 62%

VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models

Furui Cheng, Dongyu Liu, Fan Du, Yanna Lin, Alexandra Zytek, Haomin Li, Huamin Qu, Kalyan Veeramachaneni

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

Comments Accepted to IEEE VIS 2021, To Appeal in IEEE Transactions on Visualization and Computer Graphics

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