145 citations · 793 across the 36 of their papers we have counts for
5 papers · 1 filter
Identifying and Harnessing the Building Blocks of Machine Learning Pipelines for Sensible Initialization of a Data Science Automation Tool
Randal S. Olson, Jason H. Moore
As data science continues to grow in popularity, there will be an increasing need to make data science tools more scalable, flexible, and accessible. In particular, automated machi…
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz +1
As the field of data science continues to grow, there will be an ever-increasing demand for tools that make machine learning accessible to non-experts. In this paper, we introduce…
Evolution of active categorical image classification via saccadic eye movement
Randal S. Olson, Jason H. Moore, Christoph Adami
Pattern recognition and classification is a central concern for modern information processing systems. In particular, one key challenge to image and video classification has been t…
Exploring the coevolution of predator and prey morphology and behavior
Randal S. Olson, Arend Hintze, Fred C. Dyer +2
A common idiom in biology education states, "Eyes in the front, the animal hunts. Eyes on the side, the animal hides." In this paper, we explore one possible explanation for why pr…
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…