William La Cava

Identifiers

• name variant William La Cava 0.60 · backfill

Papers (11)

1. Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions cs.CY · 2026 · author #34
2. Epsilon-Lexicase Selection for Regression cs.NE · 2019 · author #1
3. Semantic variation operators for multidimensional genetic programming cs.NE · 2019 · author #1
4. Interpretation of machine learning predictions for patient outcomes in electronic health records cs.CY · 2019 · author #1
5. Learning concise representations for regression by evolving networks of trees cs.NE · 2018 · author #1
6. Where are we now? A large benchmark study of recent symbolic regression methods cs.NE · 2018 · author #2
7. A probabilistic and multi-objective analysis of lexicase selection and epsilon-lexicase selection cs.NE · 2017 · author #1
8. Data-driven Advice for Applying Machine Learning to Bioinformatics Problems q-bio.QM · 2017 · author #2
9. A System for Accessible Artificial Intelligence cs.AI · 2017 · author #3
10. Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods cs.NE · 2017 · author #1
11. PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison cs.LG · 2017 · author #2

Mentions

• 2602.24176 #34 · arxiv_oai · confidence 0.70 William La Cava

Frequent Coauthors

• Jason H. Moore 9 shared papers
• Patryk Orzechowski 3 shared papers
• Randal S. Olson 3 shared papers
• Lee Spector 2 shared papers
• Ryan J. Urbanowicz 2 shared papers
• Akshay Varik 1 shared papers
• Aldo A Faisal 1 shared papers
• Alice Xiang 1 shared papers
• Alicia Parrish 1 shared papers
• Amir-Hossein Karimi 1 shared papers
• Amit Dhurandhar 1 shared papers
• Anastasia Kuzminykh 1 shared papers
• Angel Hwang 1 shared papers
• Arya Farahi 1 shared papers
• Biwei Huang 1 shared papers
• Brian Y. Lim 1 shared papers
• Christopher Bauer 1 shared papers
• David Alvarez-Melis 1 shared papers
• Diego Garcia-Olano 1 shared papers
• Ding Zhao 1 shared papers