Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

William La Cava

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Genetic and Evolutionary Computation Conference : [Proceedings]. Genetic and Evolutionary Computation Conference|July 18, 2022
Semantic variation operators for multidimensional genetic programmingWilliam La Cava, Jason H Moore
Genetic Programming and Evolvable Machines|December 21, 2020
Learning feature spaces for regression with genetic programmingWilliam La Cava, Jason H Moore
Evolutionary Computation|May 11, 2018
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and <math></math>-Lexicase SelectionWilliam La Cava, Thomas Helmuth, Lee Spector, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Interpretation of machine learning predictions for patient outcomes in electronic health recordsWilliam La Cava, Christopher Bauer, Jason H Moore, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Data-driven advice for applying machine learning to bioinformatics problemsRandal S Olson, William La Cava, Zairah Mustahsan, et al.
Pediatric Cardiology|June 16, 2025
Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great ArteriesSunil J Ghelani, Nikhil Thatte, William La Cava, et al.
Biodata Mining|December 15, 2017
PMLB: a large benchmark suite for machine learning evaluation and comparisonRandal S Olson, William La Cava, Patryk Orzechowski, et al.
Bioinformatics (Oxford, England)|August 9, 2020
Evaluating recommender systems for AI-driven biomedical informaticsWilliam La Cava, Heather Williams, Weixuan Fu, et al.
Journal of Biomedical Informatics|July 22, 2018
Relief-based feature selection: Introduction and reviewRyan J Urbanowicz, Melissa Meeker, William La Cava, et al.
Advances in Neural Information Processing Systems|May 8, 2024
Contemporary Symbolic Regression Methods and their Relative PerformanceWilliam La Cava, Bogdan Burlacu, Marco Virgolin, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Genetic and Evolutionary Computation Conference : [Proceedings]. Genetic and Evolutionary Computation Conference|July 18, 2022
Semantic variation operators for multidimensional genetic programmingWilliam La Cava, Jason H Moore
Genetic Programming and Evolvable Machines|December 21, 2020
Learning feature spaces for regression with genetic programmingWilliam La Cava, Jason H Moore
Evolutionary Computation|May 11, 2018
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and <math></math>-Lexicase SelectionWilliam La Cava, Thomas Helmuth, Lee Spector, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Interpretation of machine learning predictions for patient outcomes in electronic health recordsWilliam La Cava, Christopher Bauer, Jason H Moore, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Data-driven advice for applying machine learning to bioinformatics problemsRandal S Olson, William La Cava, Zairah Mustahsan, et al.
Pediatric Cardiology|June 16, 2025
Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great ArteriesSunil J Ghelani, Nikhil Thatte, William La Cava, et al.
Biodata Mining|December 15, 2017
PMLB: a large benchmark suite for machine learning evaluation and comparisonRandal S Olson, William La Cava, Patryk Orzechowski, et al.
Bioinformatics (Oxford, England)|August 9, 2020
Evaluating recommender systems for AI-driven biomedical informaticsWilliam La Cava, Heather Williams, Weixuan Fu, et al.
Journal of Biomedical Informatics|July 22, 2018
Relief-based feature selection: Introduction and reviewRyan J Urbanowicz, Melissa Meeker, William La Cava, et al.
Advances in Neural Information Processing Systems|May 8, 2024
Contemporary Symbolic Regression Methods and their Relative PerformanceWilliam La Cava, Bogdan Burlacu, Marco Virgolin, et al.
Pageof 2