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Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization., , , , и . PPSN (2), том 13399 из Lecture Notes in Computer Science, стр. 247-262. Springer, (2022)Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations., , , , и . MIDL, том 227 из Proceedings of Machine Learning Research, стр. 260-273. PMLR, (2023)Efficient, effective, and insightful tackling of the high-dose-rate brachytherapy treatment planning problem for prostate cancer using evolutionary multi-objective optimization algorithms., , , , , , , и . GECCO (Companion), стр. 1372-1379. ACM, (2017)Spatial redistribution of irregularly-spaced pareto fronts for more intuitive navigation and solution selection., , , и . GECCO (Companion), стр. 1697-1704. ACM, (2017)The multi-objective real-valued gene-pool optimal mixing evolutionary algorithm., , , , и . GECCO, стр. 537-544. ACM, (2017)Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation., , и . CoRR, (2024)Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation., , , и . GECCO, ACM, (2024)Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms., , , и . Image Processing, том 11313 из SPIE Proceedings, стр. 113131B. SPIE, (2020)Application of an image-guided navigation system in breast cancer localization., , , , , и . Image-Guided Procedures, том 7261 из SPIE Proceedings, стр. 726111. SPIE, (2009)On explaining machine learning models by evolving crucial and compact features., , и . Swarm Evol. Comput., (2020)