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William La Cava
William La Cava
Harvard, Boston Children's Hospital
Verified email at childrens.harvard.edu - Homepage
Title
Cited by
Cited by
Year
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
7482018
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
2762017
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
2572017
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
1982011
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
1642011
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
1272018
Epsilon-lexicase selection for regression
W La Cava, L Spector, K Danai
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 741-748, 2016
912016
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
752012
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
692015
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
622020
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
552021
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
502016
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
492019
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
492019
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
322012
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
312015
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
282018
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
282013
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
272022
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
252018
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Articles 1–20