138 citations · 502 across the 17 of their papers we have counts for
3 papers · 1 filter
Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining
Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt +2
Modern biomedical data mining requires feature selection methods that can (1) be applied to large scale feature spaces (e.g. `omics' data), (2) function in noisy problems, (3) dete…
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
Randal S. Olson, William La Cava, Patryk Orzechowski +2
The selection, development, or comparison of machine learning methods in data mining can be a difficult task based on the target problem and goals of a particular study. Numerous p…
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews +3
Over the past decade, data science and machine learning has grown from a mysterious art form to a staple tool across a variety of fields in academia, business, and government. In t…