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Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models.

, , , , , , and . WISE, volume 13724 of Lecture Notes in Computer Science, page 97-109. Springer, (2022)

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The Mode-Fisher pooling for time complexity optimization in deep convolutional neural networks., , , and . Neural Comput. Appl., 33 (12): 6443-6465 (2021)Towards a Co-selection Approach for a Global Explainability of Black Box Machine Learning Models., , , , , , and . WISE, volume 13724 of Lecture Notes in Computer Science, page 97-109. Springer, (2022)A Novel Proposed Pooling for Convolutional Neural Network., , , and . ICTAI, page 1739-1743. IEEE, (2019)Price optimisation of cloud computing service in a monopolistic competitive market., and . Multiagent Grid Syst., 11 (4): 259-271 (2015)sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach., , and . IEEE Trans. Knowl. Data Eng., 34 (6): 2899-2911 (2022)3-3FS: ensemble method for semi-supervised multi-label feature selection., , and . Knowl. Inf. Syst., 63 (11): 2969-2999 (2021)A study of risk management in cloud computing bank., and . CoRR, (2014)Towards Multi-label Feature Selection by Instance and Label Selections., and . PAKDD (2), volume 12713 of Lecture Notes in Computer Science, page 233-244. Springer, (2021)RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression., , , , and . ICTAI, page 99-105. IEEE, (2023)Saliency Assessment Using Selective Features Based on Entropy and Wavelet Transform., , and . ICIST, page 9:1-9:6. ACM, (2019)