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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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Reducing Traffic Congestion by LSTM-LOF Framework., , , , and . AICCSA, page 1-8. IEEE Computer Society, (2019)A Novel Proposed Pooling for Convolutional Neural Network., , , and . ICTAI, page 1739-1743. IEEE, (2019)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)The Mode-Fisher pooling for time complexity optimization in deep convolutional neural networks., , , and . Neural Comput. Appl., 33 (12): 6443-6465 (2021)Adaptive Patch Labeling and Multi-Label Feature Selection for 360-Degree Image Quality Assessment., , and . MMSP, page 1-6. IEEE, (2023)An Improved Laplacian Semi-Supervised Regression., , , and . ICTAI, page 564-570. IEEE, (2018)ℓ2-type regularization-based unsupervised anomaly detection from temporal data., , and . IJCNN, page 2354-2361. IEEE, (2017)RDF_QDAG in Action: Efficient RDF Data Querying at Scale., , , , , and . WISE, volume 13724 of Lecture Notes in Computer Science, page 633-640. Springer, (2022)RSMS: Robust Semi-supervised Multi-label Feature Selection for Regression., , , , and . ICTAI, page 99-105. IEEE, (2023)mFILS: Tri-Selection via Convex and Nonconvex Regularizations., , , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (7): 9871-9884 (July 2024)