William La Cava

Also affiliated with Harvard University, Boston Children's Museum

Computer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 5%percentile

0.359Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

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

Bioinformatics(2021)10.1093/bioinformatics/btab727

Top 49%

0.359DataRank

Top 49%4 citations

Trang T. Le, William La Cava, John Gregg, Daniel J. Goldberg, Praneel Chakraborty +5 more

Papers

Driven by 28 papers — median percentile 51. Top paper: “Learning feature spaces for regression with genetic programming”.

Learning feature spaces for regression with genetic programming

Genetic Programming and Evolvable Machines(2020)10.1007/s10710-020-09383-4

N/A

1.7DataRank · unranked

38 citations

Jason H. Moore, William La Cava

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

Bioinformatics(2021)10.1093/bioinformatics/btab727

Top 49%

0.359DataRank

Top 49%4 citations

Trang T. Le, William La Cava, John Gregg, Daniel J. Goldberg, Praneel Chakraborty +5 more

Application of concise machine learning to construct accurate and interpretable EHR computable phenotypes

medRxiv(2020)10.1101/2020.12.12.20248005

N/A

0DataRank · unranked

1 citations

Paul C. Lee, Imran Thariq Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen +3 more

Lexicase Selection

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2021)10.1145/3449726.3461408

N/A

0DataRank · unranked

0 citations

William La Cava, Thomas Helmuth

A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2022)10.1145/3520304.3529056

N/A

0DataRank · unranked

3 citations

Paweł Renc, William La Cava, Jason H. Moore, Arkadiusz Sitek, Jarosław Wąs +2 more

Lexicase selection

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2022)10.1145/3520304.3533633

N/A

0DataRank · unranked

1 citations

William La Cava, Thomas Helmuth

A flexible symbolic regression method for constructing interpretable clinical prediction models

npj Digital Medicine(2023)10.1038/s41746-023-00833-8

N/A

0DataRank · unranked

37 citations

Paul C. Lee, Imran Thariq Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen +3 more

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

Journal of Biomedical Informatics(2023)10.1016/j.jbi.2023.104306

N/A

0DataRank · unranked

29 citations

Emily Getzen, Meghan R. Hutch, Zachary H. Strasser, Alba Gutiérrez‐Sacristán, Trang T. Le +34 more

Translating intersectionality to fair machine learning in health sciences

Nature Machine Intelligence(2023)10.1038/s42256-023-00651-3

N/A

0DataRank · unranked

24 citations

William La Cava, Elle Lett

Exploring SLUG: Feature Selection Using Genetic Algorithms and Genetic Programming

SN Computer Science(2023)10.1007/s42979-023-02106-3

N/A

0DataRank · unranked

6 citations

João E. Batista, William La Cava, Leonardo Vanneschi, Sara Silva, Nuno M. Rodrigues

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

arXiv (Cornell University)(2023)10.48550/arxiv.2304.01117

N/A

0DataRank · unranked

9 citations

M. Virgolin, M. Kommenda, M. S. Majumder, Miles Cranmer, G. Espada +19 more

Optimizing fairness tradeoffs in machine learning with multiobjective meta-models

Proceedings of the Genetic and Evolutionary Computation Conference(2023)10.1145/3583131.3590487

N/A

0DataRank · unranked

6 citations

William La Cava

Translating Intersectionality to Fair Machine Learning in Health Sciences

RePEc: Research Papers in Economics(2023)10.31235/osf.io/gu7yh

N/A

0DataRank · unranked

3 citations

William La Cava, Elle Lett

Lexicase Selection

(2023)10.1145/3583133.3595035

N/A

0DataRank · unranked

0 citations

Thomas Helmuth, William La Cava

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

Circulation(2024)10.1161/circulationaha.123.067750

N/A

0DataRank · unranked

50 citations

William La Cava, Akhil Vaid, Girish N. Nadkarni, Sunil J. Ghelani, Rebekah Mannix +6 more

Intrapartum electronic fetal heart rate monitoring to predict acidemia at birth with the use of deep learning

American Journal of Obstetrics and Gynecology(2024)10.1016/j.ajog.2024.04.022

N/A

0DataRank · unranked

28 citations

Lisa D Levine, G. Wan, Corey Chivers, Joseph Teel, William La Cava +1 more

Deep Learning-Based Electrocardiogram Analysis Predicts Biventricular Dysfunction and Dilation in Congenital Heart Disease

Journal of the American College of Cardiology(2024)10.1016/j.jacc.2024.05.062

N/A

0DataRank · unranked

27 citations

Addison Gearhart, William La Cava, Akhil Vaid, Girish N. Nadkarni, John K. Triedman +7 more

Electrocardiogram-based deep learning to predict mortality in paediatric and adult congenital heart disease

European Heart Journal(2024)10.1093/eurheartj/ehae651

N/A

0DataRank · unranked

26 citations

Amr El‐Bokl, Platon Lukyanenko, William La Cava, Tal Geva, Anne Marie Valente +3 more

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

PubMed(2024)10.52202/079017-0749

N/A

0DataRank · unranked

9 citations

Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar +10 more

Inexact Simplification of Symbolic Regression Expressions with Locality-sensitive Hashing

Proceedings of the Genetic and Evolutionary Computation Conference(2024)10.1145/3638529.3654147

N/A

0DataRank · unranked

4 citations

Fabrício Olivetti de França, William La Cava, Guilherme Seidyo Imai Aldeia

Deep Survival Analysis from Adult and Pediatric Electrocardiograms: A Multi-center Benchmark Study

arXiv (Cornell University)(2024)10.48550/arxiv.2406.17002

N/A

0DataRank · unranked

1 citations

Joshua Mayourian, Mingxuan Liu, John K. Triedman, Sunil J. Ghelani, William La Cava +1 more

Minimum variance threshold for epsilon-lexicase selection

Proceedings of the Genetic and Evolutionary Computation Conference(2024)10.1145/3638529.3654149

N/A

0DataRank · unranked

0 citations

Fabrício Olivetti de França, William La Cava, Guilherme Seidyo Imai Aldeia

Intersectional consequences for marginal fairness in prediction models for emergency admissions

medRxiv(2024)10.1101/2024.11.05.24316769

N/A

0DataRank · unranked

0 citations

Shakiba Shahbandegan, Yuval Barak‐Corren, Alan Fine, William La Cava, Elle Lett

Electrocardiogram-based deep learning to predict left ventricular systolic dysfunction in paediatric and adult congenital heart disease in the USA: a multicentre modelling study

The Lancet Digital Health(2025)10.1016/j.landig.2025.01.001

N/A

0DataRank · unranked

11 citations

Ivor Asztalos, Amr El‐Bokl, Platon Lukyanenko, Ryan Kobayashi, William La Cava +4 more

Expert-Level Automated Diagnosis of the Pediatric ECG Using a Deep Neural Network

JACC. Clinical electrophysiology(2025)10.1016/j.jacep.2025.02.003

N/A

0DataRank · unranked

6 citations

William La Cava, Sarah D. de Ferranti, Douglas Y. Mah, Mark E. Alexander, Edward P. Walsh +2 more

The future of algorithmic nondiscrimination compliance in the affordable care act

npj Digital Medicine(2025)10.1038/s41746-025-02224-7

N/A

0DataRank · unranked

0 citations

I. Glenn Cohen, Jaya Aysola, William La Cava

Deciphering the influence of demographic factors on the treatment of pediatric patients in the emergency department

PubMed(2025)10.1142/9789819824755_0040

N/A

0DataRank · unranked

0 citations

Anne Bischops, Pradip P. Chaudhari, Yuval Barak‐Corren, Alan Fine, Ben Y. Reis +3 more

Evaluating recommender systems for AI-driven biomedical informatics

Bioinformatics(2020)10.1093/bioinformatics/btaa698

N/A

0DataRank · unranked

1 citations

Heather Williams, Weixuan Fu, Steve Vitale, Durga Srivatsan, Jason H. Moore +1 more

William La Cava

Indexed papers

Top data-sharing exemplar

Papers