Explainable activity recognition in videos: Lessons learned
Author:
Affiliation:
1. Department of Computer Science The University of Texas at Dallas Richardson Texas USA
2. Department of Computer and Information Science and Engineering University of Florida Gainesville Florida USA
Funder
National Science Foundation of Sri Lanka
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ail2.59
Reference60 articles.
1. KuleszaT BurnettM WongW StumpfS.Principles of explanatory debugging to personalize interactive machine learning. Paper presented at: In Proceedings of the Twentieth International Conference on Intelligent User Interfaces (IUI).2015.
2. Probabilistic Horn abduction and Bayesian networks
3. On the implementation of the probabilistic logic programming language ProbLog
4. RoyS SuciuD.A formal approach to finding explanations for database queries. Paper presented at: ACM SIGMOD International Conference on Management of Data (MOD).2014:1579‐1590.
5. RahmanT KothalkarP GogateV.Cutset networks: a simple tractable and scalable approach for improving the accuracy of Chow‐Liu trees. Paper presented at: Proceedings of the 2014 Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD).2014:630–645.
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media;Advances in Information Security, Privacy, and Ethics;2024-02-23
2. User‐Centered Evaluation of Explainable Artificial Intelligence (XAI): A Systematic Literature Review;Human Behavior and Emerging Technologies;2024-01
3. Explainable Activity Recognition in Videos using Deep Learning and Tractable Probabilistic Models;ACM Transactions on Interactive Intelligent Systems;2023-12-08
4. Explainable AI for Medical Imaging: Advancing Transparency and Trust in Diagnostic Decision-Making;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08
5. Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization;Engineering Applications of Artificial Intelligence;2023-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3