Прати
William G. La Cava
William G. La Cava
Harvard, Boston Children's Hospital
Верификована је имејл адреса на childrens.harvard.edu - Почетна страница
Наслов
Навело
Навело
Година
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
13442018
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
4582017
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
3462017
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
3112021
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
2132011
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
2122018
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
1822011
Epsilon-lexicase selection for regression
W La Cava, L Spector, K Danai
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 741-748, 2016
1802016
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
1472020
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
1152022
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
1082019
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
872015
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
832012
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
732019
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
692018
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
632020
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
632016
Learning feature spaces for regression with genetic programming
W La Cava, JH Moore
Genetic Programming and Evolvable Machines 21 (3), 433-467, 2020
432020
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
402016
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
372015
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Чланци 1–20