William G. La Cava

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	Toate	Din 2020
Referințe bibliografice	4897	3802
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Jason H. MooreChair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CAAdresă de e-mail confirmată pe csmc.edu
Lee SpectorProfessor of Computer Science, Amherst CollegeAdresă de e-mail confirmată pe amherst.edu
Jonathan KellerNRELAdresă de e-mail confirmată pe nrel.gov
Randal S. OlsonRO ConsultingAdresă de e-mail confirmată pe randalolson.com
Patryk OrzechowskiUniversity of Pennsylvania | AGH USTAdresă de e-mail confirmată pe upenn.edu
Kourosh DanaiUniversity of MassachusettsAdresă de e-mail confirmată pe umass.edu
Yi GuoTechnical University of DenmarkAdresă de e-mail confirmată pe osu.edu
Ryan J UrbanowiczCedars Sinai Medical CenterAdresă de e-mail confirmată pe cshs.org
Fabricio Olivetti de FrançaUniversidade Federal do ABC (UFABC)Adresă de e-mail confirmată pe ufabc.edu.br
Shawn ShengNRELAdresă de e-mail confirmată pe nrel.gov
Thomas HelmuthAssociate Professor of Computer Science, Hamilton CollegeAdresă de e-mail confirmată pe hamilton.edu
Matthew LacknerUniversity of Massachusetts AmherstAdresă de e-mail confirmată pe ecs.umass.edu
Melissa A MeekerMassachusetts General Hospital, Department of Emergency MedicineAdresă de e-mail confirmată pe mgh.harvard.edu
Bogdan BurlacuUniversity of Applied Sciences Upper AustriaAdresă de e-mail confirmată pe fh-ooe.at
Marco VirgolinInSilicoTrialsAdresă de e-mail confirmată pe insilicotrials.com
Sara SilvaLASIGE, Informática, Faculdade de Ciências, Universidade de LisboaAdresă de e-mail confirmată pe fc.ul.pt
Leonardo VanneschiNOVA IMS, Universidade Nova de LisboaAdresă de e-mail confirmată pe isegi.unl.pt
Michael KommendaTietoevryAdresă de e-mail confirmată pe tietoevry.com
Weixuan FuChildren's Hospital of PhiladelphiaAdresă de e-mail confirmată pe chop.edu
Sunil GhelaniBoston Children's HospitalAdresă de e-mail confirmată pe childrens.harvard.edu

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William G. La Cava

Harvard, Boston Children's Hospital

Adresă de e-mail confirmată pe childrens.harvard.edu - Pagina de pornire

biomedical informatics machine learning fairness interpretability symbolic regression


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	1344	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	458	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	346	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	311	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	213	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	212	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	182	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	180	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	147	2020
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	115	2022
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	108	2019
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	87	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	73	2019
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	69	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	63	2020
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 feature spaces for regression with genetic programming W La Cava, JH Moore Genetic Programming and Evolvable Machines 21 (3), 433-467, 2020	43	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

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