Using Relational Concept Networks for Explainable Decision Support
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-29726-8_6
Reference18 articles.
1. Besold, T.R., et al.: Neural-symbolic learning and reasoning: a survey and interpretation. arXiv preprint arXiv:1711.03902 (2017)
2. Brodersen, K.H., Ong, C.S., Stephan, K.E., Buhmann, J.M.: The balanced accuracy and its posterior distribution. In: 2010 20th International Conference on Pattern Recognition, pp. 3121–3124. IEEE (2010)
3. Gardner, M.W., Dorling, S.: Artificial neural networks (the multilayer perceptron)–a review of applications in the atmospheric sciences. Atmos. Environ. 32(14–15), 2627–2636 (1998)
4. Gupta, U., Chaudhury, S.: Deep transfer learning with ontology for image classification. In: 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG). IEEE (2015)
5. Holzinger, A., Langs, G., Denk, H., Zatloukal, K., Mueller, H.: Causability and explainability of AI in medicine. WIREs Data Min. Knowl. Discov. e1312 (2019). https://doi.org/10.1002/widm.1312
Cited by 9 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. Ontology-Based Explanations of Neural Networks: A User Perspective;Lecture Notes in Computer Science;2024
2. Collaborative Decision Support Systems Based on Neuro-Symbolic Artificial Intelligence: Problems and Generalized Conceptual Model;Scientific and Technical Information Processing;2023-12
3. Combining Machine Learning and Semantic Web: A Systematic Mapping Study;ACM Computing Surveys;2023-07-17
4. The Analysis of Ontology-Based Neuro-Symbolic Intelligence Methods for Collaborative Decision Support;Informatics and Automation;2023-05-22
5. Ontology-Based Explanations of Neural Networks for Collaborative Human-AI Decision Support Systems;Proceedings of the Seventh International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’23);2023
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