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Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework., , , and . Int. J. Approx. Reason., 50 (7): 1066-1080 (2009)DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images., , , , , , , , , and 10 other author(s). DALI@MICCAI, volume 13567 of Lecture Notes in Computer Science, page 11-21. Springer, (2022)Validation of Federated Unlearning on Collaborative Prostate Segmentation., , , , , , and . ISIC/Care-AI/MedAGI/DeCaF@MICCAI, volume 14393 of Lecture Notes in Computer Science, page 322-333. Springer, (2023)Feature Selection Based on Fuzzy Mutual Information., , and . WILF, volume 8256 of Lecture Notes in Computer Science, page 36-43. Springer, (2013)Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems., , and . FUZZ-IEEE, page 1-7. IEEE, (2010)A Multi-Classifier System for Pulmonary Nodule Classification., , , , and . CBMS, page 587-589. IEEE Computer Society, (2008)Understanding metric-related pitfalls in image analysis validation., , , , , , , , , and 68 other author(s). CoRR, (2023)Lung Nodule Detection in CT Scans., , , and . International Conference on Computational Intelligence, page 365-368. International Computational Intelligence Society, (2004)Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection., , , and . GEFS, page 47-53. IEEE, (2011)Urban and social sensing for sustainable mobility in smart cities., , , , , , , , , and . SustainIT, page 1-4. IEEE Computer Society, (2013)