| 2019 | GECCO | Discovering test statistics using genetic programming. | Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper |
| 2018 | PSB | A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methods. | Jason H. Moore, Maksim Shestov, Peter Schmitt, Randal S. Olson |
| 2018 | PSB | Data-driven advice for applying machine learning to bioinformatics problems. | Randal S. Olson, William G. La Cava, Zairah Mustahsan, Akshay Varik, Jason H. Moore |
| 2018 | PSB | Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure. | Alena Orlenko, Jason H. Moore, Patryk Orzechowski, Randal S. Olson, Junmei Cairns, Pedro J. Caraballo, Richard M. Weinshilboum, Liewei Wang, Matthew K. Breitenstein |
| 2017 | GECCO | Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming. | Andrew Sohn, Randal S. Olson, Jason H. Moore |
| 2016 | ALIFE | Exploring the coevolution of predator and prey morphology and behavior. | Christoph Adami, Jason H. Moore, Fred C. Dyer, Arend Hintze, Randal S. Olson |
| 2016 | ALIFE | Flies as Ship Captains? Digital Evolution Unravels Selective Pressures to Avoid Collision in Drosophila. | Randal S. Olson, Christoph Adami, Ali Tehrani-Saleh |
| 2016 | GECCO | Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. | Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore |
| 2016 | GECCO | Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning. | Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore |
| 2016 | ICML | TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning. | Randal S. Olson, Jason H. Moore |
| 2016 | PPSN | Evolution of Active Categorical Image Classification via Saccadic Eye Movement. | Randal S. Olson, Jason H. Moore, Christoph Adami |
| 2016 | PPSN | Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. | Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore |
| 2014 | ALIFE | Exploring Conditions That Select for the Evolution of Cooperative Group Foraging. | Patrick B. Haley, Randal S. Olson, Fred C. Dyer, Christoph Adami |
| 2013 | GECCO | Critical interplay between density-dependent predation and evolution of the selfish herd. | Randal S. Olson, David B. Knoester, Christoph Adami |