William G. La Cava

William G. La Cava

University of Pennsylvania

H-index: 24

North America-United States

About William G. La Cava

William G. La Cava, With an exceptional h-index of 24 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of biomedical informatics, machine learning, fairness, interpretability, symbolic regression.

His recent articles reflect a diverse array of research interests and contributions to the field:

Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing

Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling

Minimum variance threshold for epsilon-lexicase selection

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Lexicase Selection

Optimizing fairness tradeoffs in machine learning with multiobjective meta-models

Fair admission risk prediction with proportional multicalibration

Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming

William G. La Cava Information

University

Position

___

Citations(all)

3765

Citations(since 2020)

3012

Cited By

1556

hIndex(all)

24

hIndex(since 2020)

22

i10Index(all)

43

i10Index(since 2020)

32

Email

University Profile Page

University of Pennsylvania

Google Scholar

View Google Scholar Profile

William G. La Cava Skills & Research Interests

biomedical informatics

machine learning

fairness

interpretability

symbolic regression

Top articles of William G. La Cava

Title

Journal

Author(s)

Publication Date

Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing

arXiv preprint arXiv:2404.05898

Guilherme Seidyo Imai Aldeia

Fabricio Olivetti de Franca

William G La Cava

2024/4/8

Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling

Circulation

Joshua Mayourian

William G La Cava

Akhil Vaid

Girish N Nadkarni

Sunil J Ghelani

...

2024/2/5

Minimum variance threshold for epsilon-lexicase selection

arXiv preprint arXiv:2404.05909

Guilherme Seidyo Imai Aldeia

Fabricio Olivetti de Franca

William G La Cava

2024/4/8

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Journal of biomedical informatics

Amelia LM Tan

Emily J Getzen

Meghan R Hutch

Zachary H Strasser

Alba Gutiérrez-Sacristán

...

2023/3/1

Lexicase Selection

William George La Cava

Thomas Helmuth

2023/7/15

Optimizing fairness tradeoffs in machine learning with multiobjective meta-models

William G La Cava

2023

Fair admission risk prediction with proportional multicalibration

William G La Cava

Elle Lett

Guangya Wan

2023/6/13

Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming

SN Computer Science

Nuno M Rodrigues

João E Batista

William La Cava

Leonardo Vanneschi

Sara Silva

2023/12/12

A flexible symbolic regression method for constructing interpretable clinical prediction models

NPJ Digital Medicine

William G La Cava

Paul C Lee

Imran Ajmal

Xiruo Ding

Priyanka Solanki

...

2023/6/5

Translating intersectionality to fair machine learning in health sciences

Nature machine intelligence

Elle Lett

William G La Cava

2023/5

Pediatric Electrocardiogram-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling

Circulation

Joshua Mayourian

William G La Cava

Sunil J Ghelani

Rebekah Mannix

Vassilios J Bezzerides

...

2023/11/7

Interpretable symbolic regression for data science: Analysis of the 2022 competition

arXiv preprint arXiv:2304.01117

Fabrício Olivetti de França

Marco Virgolin

Michael Kommenda

MS Majumder

M Cranmer

...

2023/4/3

Effects of Race and Gender Classifications on Atherosclerotic Cardiovascular Disease Risk Estimates for Clinical Decision-Making in a Cohort of Black Transgender Women

Health Equity

Tonia Poteat

Elle Lett

Ashleigh J Rich

Huijun Jiang

Andrea L Wirtz

...

2023/11/1

Slug: feature selection using genetic algorithms and genetic programming

Nuno M Rodrigues

João E Batista

William La Cava

Leonardo Vanneschi

Sara Silva

2022/4/13

PMLB v1. 0: an open-source dataset collection for benchmarking machine learning methods

Bioinformatics

Joseph D Romano

Trang T Le

William La Cava

John T Gregg

Daniel J Goldberg

...

2022/2/1

Proportional Multicalibration

William La Cava

Elle Lett

Guangya Wan

2022/9/29

Population diversity leads to short running times of lexicase selection

Thomas Helmuth

Johannes Lengler

William La Cava

2022/8/15

A Comparative Study of GP-based and State-of-the-art Classifiers on a Synthetic Machine Learning Benchmark

Patryk Orzechowski

Paweł Renc

William La Cava

Jason H Moore

Arkadiusz Sitek

...

2022/7/9

Contemporary symbolic regression methods and their relative performance

arXiv preprint arXiv:2107.14351

William La Cava

Patryk Orzechowski

Bogdan Burlacu

Fabrício Olivetti de França

Marco Virgolin

...

2021/7/29

Controller design by symbolic regression

Mechanical Systems and Signal Processing

Kourosh Danai

William G La Cava

2021/4/1

See List of Professors in William G. La Cava University(University of Pennsylvania)

Co-Authors

H-index: 102
Jason H. Moore

Jason H. Moore

University of Pennsylvania

H-index: 50
Lee Spector

Lee Spector

Hampshire College

H-index: 42
Leonardo Vanneschi

Leonardo Vanneschi

Universidade Nova de Lisboa

H-index: 36
Matthew Lackner

Matthew Lackner

University of Massachusetts Amherst

H-index: 25
Kourosh Danai

Kourosh Danai

University of Massachusetts Amherst

H-index: 24
Ryan J Urbanowicz

Ryan J Urbanowicz

University of Pennsylvania

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