La Cava, William

1. Contemporary Symbolic Regression Methods and their Relative Performance
   2021/07/29 by William La Cava, La Cava, William, Patryk Orzechowski +13 · 47 citations
   Computer Science · #Evolutionary Algorithms and Applications #Metaheuristic Optimization Algorithms Research #Neural Networks and Applications
2. PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
   2017/03/01 by Olson, Randal S., La Cava, William, Orzechowski, Patryk +2 · 14 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Benchmarking in Optimization: Best Practice and Open Issues
   2020/07/07 by Bartz-Beielstein, Thomas, Doerr, Carola, Berg, Daan van den +14 · 9 citations
   #68W50 #A.1 #Applications (stat.AP) #B.8.0 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #G.4 #I.2.8 #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC) #Performance (cs.PF)
4. PMLB v1.0: An open source dataset collection for benchmarking machine\n learning methods
   2020/11/30 by Joseph D. Romano, Romano, Joseph D., Trang T. Le +17 · 6 citations
   Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Machine Learning in Materials Science
5. Data-driven Advice for Applying Machine Learning to Bioinformatics\n Problems
   2017/08/08 by Randal S. Olson, Olson, Randal S., William La Cava +7 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Biological sciences #FOS: Computer and information sciences #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Bioinformatics #Quantitative Methods (q-bio.QM)
6. Learning concise representations for regression by evolving networks of trees
   2018/07/03 by La Cava, William, Singh, Tilak Raj, Taggart, James +2 · 2 citations
   #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
7. Interpretation of machine learning predictions for patient outcomes in electronic health records
   2019/03/14 by La Cava, William, Bauer, Christopher, Moore, Jason H. +1 · 1 citation
   #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)