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Cited by in F6Publishing
For: [DOI: 10.1109/cbms.2019.00065] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 2.5] [Reference Citation Analysis]
Number Citing Articles
1 Jeetesh Sharma, Murari Lal Mittal, Gunjan Soni. Condition-based maintenance using machine learning and role of interpretability: a review. Int J Syst Assur Eng Manag 2022. [ DOI: 10.1007/s13198-022-01843-7] [Reference Citation Analysis]
2 Ferraro A, Galli A, Moscato V, Sperlì G. Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10354-7] [Reference Citation Analysis]
3 Chih H, Lin W, Huang W, Yao K. Implementation of EDGE Computing Platform in Feeder Terminal Unit for Smart Applications in Distribution Networks with Distributed Renewable Energies. Sustainability 2022;14:13042. [DOI: 10.3390/su142013042] [Reference Citation Analysis]
4 Ennab M, Mcheick H. Designing an Interpretability-Based Model to Explain the Artificial Intelligence Algorithms in Healthcare. Diagnostics 2022;12:1557. [DOI: 10.3390/diagnostics12071557] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Chou Y, Moreira C, Bruza P, Ouyang C, Jorge J. Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications. Information Fusion 2022;81:59-83. [DOI: 10.1016/j.inffus.2021.11.003] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 19.0] [Reference Citation Analysis]
6 Oliveira DFN, Vismari LF, Nascimento AM, de Almeida JR, Cugnasca PS, Camargo JB, Almeida L, Gripp R, Neves M. A New Interpretable Unsupervised Anomaly Detection Method Based on Residual Explanation. IEEE Access 2022;10:1401-9. [DOI: 10.1109/access.2021.3137633] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Chaki J. Deep Learning in Healthcare: Applications, Challenges, and Opportunities. Next Generation Healthcare Informatics 2022. [DOI: 10.1007/978-981-19-2416-3_2] [Reference Citation Analysis]
8 Aldeia GSI, de França FO. Measuring feature importance of symbolic regression models using partial effects. Proceedings of the Genetic and Evolutionary Computation Conference 2021. [DOI: 10.1145/3449639.3459302] [Cited by in Crossref: 2] [Article Influence: 1.0] [Reference Citation Analysis]
9 Rojas A, Kroupi E, Martens G, Thibaut A, Barra A, Laureys S, Ruffini G, Soria-frisch A. Prediction of Minimally Conscious State Responder Patients to Non-invasive Brain Stimulation Using Machine Learning Algorithms. Pattern Recognition. ICPR International Workshops and Challenges 2021. [DOI: 10.1007/978-3-030-68763-2_39] [Reference Citation Analysis]
10 [DOI: 10.1109/gcwkshps50303.2020.9367541] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]