138 citations · 502 across the 17 of their papers we have counts for
20 papers
Layered TPOT: Speeding up Tree-based Pipeline Optimization
Pieter Gijsbers, Joaquin Vanschoren, Randal S. Olson
With the demand for machine learning increasing, so does the demand for tools which make it easier to use. Automated machine learning (AutoML) tools have been developed to address…
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…
Relief-Based Feature Selection: Introduction and Review
Ryan J. Urbanowicz, Melissa Meeker, William LaCava +2
Feature selection plays a critical role in biomedical data mining, driven by increasing feature dimensionality in target problems and growing interest in advanced but computational…
Considerations of automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure
Alena Orlenko, Jason H. Moore, Patryk Orzechowski +6
With the maturation of metabolomics science and proliferation of biobanks, clinical metabolic profiling is an increasingly opportunistic frontier for advancing translational clinic…
Markov Brains: A Technical Introduction
Arend Hintze, Jeffrey A. Edlund, Randal S. Olson +9
Markov Brains are a class of evolvable artificial neural networks (ANN). They differ from conventional ANNs in many aspects, but the key difference is that instead of a layered arc…
Data-driven Advice for Applying Machine Learning to Bioinformatics Problems
Randal S. Olson, William La Cava, Zairah Mustahsan +2
As the bioinformatics field grows, it must keep pace not only with new data but with new algorithms. Here we contribute a thorough analysis of 13 state-of-the-art, commonly used ma…
A System for Accessible Artificial Intelligence
Randal S. Olson, Moshe Sipper, William La Cava +7
While artificial intelligence (AI) has become widespread, many commercial AI systems are not yet accessible to individual researchers nor the general public due to the deep knowled…
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…
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming
Andrew Sohn, Randal S. Olson, Jason H. Moore
Machine learning has been gaining traction in recent years to meet the demand for tools that can efficiently analyze and make sense of the ever-growing databases of biomedical data…
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…
Flies as Ship Captains? Digital Evolution Unravels Selective Pressures to Avoid Collision in Drosophila
Ali Tehrani-Saleh, Christoph Adami
Flies that walk in a covered planar arena on straight paths avoid colliding with each other, but which of the two flies stops is not random. High-throughput video observations, cou…
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…
Exploring the evolution of a trade-off between vigilance and foraging in group-living organisms
Randal S. Olson, Patrick B. Haley, Fred C. Dyer +1
Despite the fact that grouping behavior has been actively studied for over a century, the relative importance of the numerous proposed fitness benefits of grouping remain unclear.…
Navigating the massive world of reddit: Using backbone networks to map user interests in social media
Randal S. Olson, Zachary P. Neal
In the massive online worlds of social media, users frequently rely on organizing themselves around specific topics of interest to find and engage with like-minded people. However,…
Risk aversion as an evolutionary adaptation
Arend Hintze, Randal S. Olson, Christoph Adami +1
Risk aversion is a common behavior universal to humans and animals alike. Economists have traditionally defined risk preferences by the curvature of the utility function. Psycholog…
Evolution of swarming behavior is shaped by how predators attack
Randal S. Olson, David B. Knoester, Christoph Adami
Animal grouping behaviors have been widely studied due to their implications for understanding social intelligence, collective cognition, and potential applications in engineering,…
Predator confusion is sufficient to evolve swarming behavior
Randal S. Olson, Arend Hintze, Fred C. Dyer +2
Swarming behaviors in animals have been extensively studied due to their implications for the evolution of cooperation, social cognition, and predator-prey dynamics. An important g…