| Relief-based feature selection: Introduction and review RJ Urbanowicz, M Meeker, W La Cava, RS Olson, JH Moore Journal of biomedical informatics 85, 189-203, 2018 | 1289 | 2018 |
| PMLB: a large benchmark suite for machine learning evaluation and comparison RS Olson, W La Cava, P Orzechowski, RJ Urbanowicz, JH Moore BioData mining 10, 1-13, 2017 | 437 | 2017 |
| Data-driven advice for applying machine learning to bioinformatics problems RS Olson, W La Cava, Z Mustahsan, A Varik, JH Moore Pacific Symposium on Biocomputing, 2017 | 338 | 2017 |
| Contemporary symbolic regression methods and their relative performance W La Cava, P Orzechowski, B Burlacu, FO de França, M Virgolin, Y Jin, ... NeurIPS Datasets and Benchmarks 2021 1, 2021 | 271 | 2021 |
| Wind turbine drivetrain condition monitoring during GRC phase 1 and phase 2 testing S Sheng, H Link, W LaCava, J van Dam, B McNiff, P Veers, J Keller, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2011 | 211 | 2011 |
| Where are we now? A large benchmark study of recent symbolic regression methods P Orzechowski, W La Cava, JH Moore Proceedings of the genetic and evolutionary computation conference, 1183-1190, 2018 | 205 | 2018 |
| Gearbox reliability collaborative project report: findings from phase 1 and phase 2 testing H Link, W LaCava, J van Dam, B McNiff, S Sheng, R Wallen, M McDade, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2011 | 178 | 2011 |
| Epsilon-lexicase selection for regression W La Cava, L Spector, K Danai Proceedings of the Genetic and Evolutionary Computation Conference 2016, 741-748, 2016 | 167 | 2016 |
| Benchmarking in optimization: Best practice and open issues T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ... arXiv preprint arXiv:2007.03488, 2020 | 134 | 2020 |
| A Probabilistic and Multi-Objective Analysis of Lexicase Selection and -Lexicase Selection W La Cava, T Helmuth, L Spector, JH Moore Evolutionary Computation 27 (3), 377-402, 2019 | 105 | 2019 |
| PMLB v1. 0: an open-source dataset collection for benchmarking machine learning methods JD Romano, TT Le, W La Cava, JT Gregg, DJ Goldberg, P Chakraborty, ... Bioinformatics 38 (3), 878-880, 2022 | 99 | 2022 |
| Planetary gear load sharing of wind turbine drivetrains subjected to non‐torque loads Y Guo, J Keller, W LaCava Wind Energy 18 (4), 757-768, 2015 | 83 | 2015 |
| Combined effects of gravity, bending moment, bearing clearance, and input torque on wind turbine planetary gear load sharing Y Guo, J Keller, W LaCava National Renewable Energy Lab.(NREL), Golden, CO (United States), 2012 | 83 | 2012 |
| Multidimensional genetic programming for multiclass classification W La Cava, S Silva, K Danai, L Spector, L Vanneschi, JH Moore Swarm and evolutionary computation 44, 260-272, 2019 | 72 | 2019 |
| Automatic identification of wind turbine models using evolutionary multiobjective optimization W La Cava, K Danai, L Spector, P Fleming, A Wright, M Lackner Renewable Energy 87, 892-902, 2016 | 63 | 2016 |
| Learning concise representations for regression by evolving networks of trees W La Cava, TR Singh, J Taggart, S Suri, JH Moore International Conference on Learning Representations (ICLR) 2019, 2018 | 61 | 2018 |
| Interpretation of machine learning predictions for patient outcomes in electronic health records W La Cava, C Bauer, JH Moore, SA Pendergrass AMIA annual symposium proceedings 2019, 572, 2020 | 56 | 2020 |
| Learning feature spaces for regression with genetic programming W La Cava, JH Moore Genetic Programming and Evolvable Machines 21 (3), 433-467, 2020 | 41 | 2020 |
| Inference of compact nonlinear dynamic models by epigenetic local search W La Cava, K Danai, L Spector Engineering Applications of Artificial Intelligence 55, 292-306, 2016 | 40 | 2016 |
| Genetic programming with epigenetic local search W La Cava, T Helmuth, L Spector, K Danai Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 37 | 2015 |
Jason H. MooreChair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA在 csmc.edu 的電子郵件地址已通過驗證