| 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 | 791 | 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 | 286 | 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 | 264 | 2017 |
| 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 | 201 | 2011 |
| 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 | 165 | 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 | 132 | 2018 |
| Epsilon-lexicase selection for regression W La Cava, L Spector, K Danai Proceedings of the Genetic and Evolutionary Computation Conference 2016, 741-748, 2016 | 95 | 2016 |
| 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 | 76 | 2012 |
| 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 | 71 | 2015 |
| 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 | 69 | 2021 |
| 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 | 69 | 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 | 52 | 2019 |
| 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 | 51 | 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 | 50 | 2016 |
| 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 | 35 | 2022 |
| Determining wind turbine gearbox model complexity using measurement validation and cost comparison W LaCava, Y Xing, Y Guo, T Moan National Renewable Energy Lab.(NREL), Golden, CO (United States), 2012 | 32 | 2012 |
| 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 | 31 | 2015 |
| A system for accessible artificial intelligence RS Olson, M Sipper, WL Cava, S Tartarone, S Vitale, W Fu, ... Genetic programming theory and practice XV, 121-134, 2018 | 29 | 2018 |
| Three‐dimensional bearing load share behaviour in the planetary stage of a wind turbine gearbox W LaCava, Y Xing, C Marks, Y Guo, T Moan IET Renewable Power Generation 7 (4), 359-369, 2013 | 28 | 2013 |
| 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 | 27 | 2018 |
Jason H. MooreProfessor and Director, Institute for Biomedical Informatics, University of PennsylvaniaVerified email at upenn.edu
