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Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning.

, , , and . CoRR, (2022)

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Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration., , , , and . CoRR, (2021)A Tournament of Transformation Models: B-Spline-based vs. Mesh-based Multi-Objective Deformable Image Registration., , , , and . CoRR, (2024)MultiFIX: An XAI-friendly feature inducing approach to building models from multimodal data., , , and . CoRR, (2024)On explaining machine learning models by evolving crucial and compact features., , and . Swarm Evol. Comput., (2020)Non-invasive MRI measurements of venous oxygenation, oxygen extraction fraction and oxygen consumption in neonates., , , , , , , and . NeuroImage, (2014)Obtaining Smoothly Navigable Approximation Sets in Bi-objective Multi-modal Optimization., , , , and . PPSN (2), volume 13399 of Lecture Notes in Computer Science, page 247-262. Springer, (2022)Learning Clinically Acceptable Segmentation of Organs at Risk in Cervical Cancer Radiation Treatment from Clinically Available Annotations., , , , and . MIDL, volume 227 of Proceedings of Machine Learning Research, page 260-273. PMLR, (2023)Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms., , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113131B. SPIE, (2020)Application of an image-guided navigation system in breast cancer localization., , , , , and . Medical Imaging: Image-Guided Procedures, volume 7261 of SPIE Proceedings, page 726111. SPIE, (2009)Mini-Batching, Gradient-Clipping, First- versus Second-Order: What Works in Gradient-Based Coefficient Optimisation for Symbolic Regression?, , , and . GECCO, page 1127-1136. ACM, (2023)