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Non-additive multi-objective robot coalition formation., , and . Expert Syst. Appl., 41 (8): 3736-3747 (2014)Identification of changes in grey matter volume using an evolutionary approach: an MRI study of schizophrenia., , , , and . Multim. Syst., 26 (4): 383-396 (2020)Triphasic DeepBRCA-A Deep Learning-Based Framework for Identification of Biomarkers for Breast Cancer Stratification., , , , and . IEEE Access, (2021)Deep Learning Based Model for Breast Cancer Subtype Classification., , , and . CoRR, (2021)XL1R-Net: Explainable AI-driven improved L1-regularized deep neural architecture for NSCLC biomarker identification., , , , , and . Comput. Biol. Chem., (February 2024)Multi-objective Robot Coalition Formation for Non-additive Environments., , and . ICIRA (1), volume 7101 of Lecture Notes in Computer Science, page 346-355. Springer, (2011)XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes., , , , , , and . Biomed. Signal Process. Control., (July 2023)Discovering pareto-optimal process models: a comparison of MOEA techniques., , , and . GECCO (Companion), page 286-287. ACM, (2018)Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning., , , , , and . Comput. Methods Programs Biomed., (January 2024)An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification., , , , , and . Comput. Biol. Medicine, (February 2023)