| Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning N Matsumoto, AK Saini, P Ribeiro, H Choi, A Orlenko, LP Lyytikäinen, ... European Conference on Genetic Programming (Part of EvoStar), 165-181, 2023 | 5 | 2023 |
| TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning P Ribeiro, A Saini, J Moran, N Matsumoto, H Choi, M Hernandez, ... Genetic Programming Theory and Practice XX, 1-17, 2024 | 4 | 2024 |
| A review of feature selection strategies utilizing graph data structures and Knowledge Graphs S Shao, P Henrique Ribeiro, CM Ramirez, JH Moore Briefings in Bioinformatics 25 (6), bbae521, 2024 | 3 | 2024 |
| Benchmarking AutoML algorithms on a collection of synthetic classification problems PH Ribeiro, P Orzechowski, J Wagenaar, JH Moore arXiv preprint arXiv:2212.02704, 2022 | 3 | 2022 |
| Genetic Programming as an Innovation Engine for Automated Machine Learning: The Tree-Based Pipeline Optimization Tool (TPOT) JH Moore, PH Ribeiro, N Matsumoto, AK Saini Handbook of Evolutionary Machine Learning, 439-455, 2023 | 2 | 2023 |
| Machine Learning—Automated Machine Learning (AutoML) for Disease Prediction JH Moore, PH Ribeiro, N Matsumoto, AK Saini Clinical Applications of Artificial Intelligence in Real-World Data, 161-173, 2023 | 1 | 2023 |
Jason H. MooreChair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CAE-mail megerősítve itt: csmc.edu