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2026	A hybrid literature review on handling imbalanced medical data: AI models and open issues Expert Systems with Applications Kaikashan I. Siddavatam, Subhash K. Shinde
2025	Optimized Machine Learning for Cancer Classification via Three-Stage Gene Selection Engineering, Technology & Applied Science Research Sara Haddou Bouazza
2024	BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson’s Disease Information Seffi Cohen, Nurit Cohen-Inger, Lior Rokach
2024	2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS) Sourav Dutta, Soumik Banerjee, Arghya Nath, Ankita Ghosh, Chandra Das, Shilpi Bose
2024	A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of geotechnical engineering Neural Computing and Applications Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed Khamees, Amir Hossein Vakili
2022	Fuzzy prototype selection-based classifiers for imbalanced data. Case study Pattern Recognition Letters Yanela Rodríguez Alvarez, María Matilde García Lorenzo, Yailé Caballero Mota, Yaima Filiberto Cabrera, Isabel M. García Hilarión, Daniela Machado Montes de Oca, Rafael Bello Pérez
2022	A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS) Machine Learning Anna Jenul, Stefan Schrunner, Jürgen Pilz, Oliver Tomic
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