July 01, 2020 conference-paper Open access Applying Genetic Programming to Improve Interpretability in Machine Learning Models IEEE Congress on Evolutionary Computation (CEC) DOI: 10.1109/cec48606.2020.9185620 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 35 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Explainable Benchmarking for Iterative Optimization Heuristics 2025 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access 13 citations Function Class Learning with Genetic Programming: Towards Explainable Meta Learning for Tumor Growth Functionals 2024 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access 2 citations Multi-modal multi-objective model-based genetic programming to find multiple diverse high-quality models 2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Evolutionary Algorithms and Applications Open access 12 citations 3 results References 0