| Relief-based feature selection: Introduction and review RJ Urbanowicz, M Meeker, W La Cava, RS Olson, JH Moore Journal of Biomedical Informatics 85, 189-203, 2018 | 1591 | 2018 |
| TPOT: A Tree-Based Pipeline Optimization Tool for Automating Machine Learning RS Olson, JH Moore Automated Machine Learning: Methods, Systems, Challenges, 151, 2019 | 1085 | 2019 |
| Evaluation of a tree-based pipeline optimization tool for automating data science RS Olson, N Bartley, RJ Urbanowicz, JH Moore Proceedings of the genetic and evolutionary computation conference 2016, 485-492, 2016 | 887 | 2016 |
| PMLB: a large benchmark suite for machine learning evaluation and comparison RS Olson, W La Cava, P Orzechowski, RJ Urbanowicz, JH Moore BioData mining 10 (1), 36, 2017 | 547 | 2017 |
| Automating biomedical data science through tree-based pipeline optimization RS Olson, RJ Urbanowicz, PC Andrews, NA Lavender, LC Kidd, ... Proceedings of the 18th European Conference on the Applications of …, 2016 | 540* | 2016 |
| Data-driven advice for applying machine learning to bioinformatics problems RS Olson, W La Cava, Z Mustahsan, A Varik, JH Moore Pacific Symposium on Biocomputing, 192-203, 2018 | 380 | 2018 |
| Benchmarking relief-based feature selection methods for bioinformatics data mining RJ Urbanowicz, RS Olson, P Schmitt, M Meeker, JH Moore Journal of Biomedical Informatics 85, 168-188, 2018 | 339 | 2018 |
| Predator confusion is sufficient to evolve swarming behaviour RS Olson, A Hintze, FC Dyer, DB Knoester, C Adami Journal of the Royal Society Interface 10 (85), 20130305, 2013 | 231 | 2013 |
| Risk sensitivity as an evolutionary adaptation A Hintze, RS Olson, C Adami, R Hertwig Scientific Reports 5, 2015 | 118 | 2015 |
| A pilot characterization of the human chronobiome C Skarke, NF Lahens, SD Rhoades, A Campbell, K Bittinger, A Bailey, ... Scientific reports 7 (1), 17141, 2017 | 102 | 2017 |
| Exploring the evolution of a trade-off between vigilance and foraging in group-living organisms RS Olson, PB Haley, FC Dyer, C Adami Journal of the Royal Society Open Science 2 (9), 2015 | 101 | 2015 |
| Navigating the massive world of reddit: Using backbone networks to map user interests in social media RS Olson, ZP Neal PeerJ Computer Science 1, e4, 2015 | 96 | 2015 |
| Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness S Bachas, G Rakocevic, D Spencer, AV Sastry, R Haile, JM Sutton, ... bioRxiv, 2022.08.16.504181, 2022 | 76 | 2022 |
| Markov brains: A technical introduction A Hintze, JA Edlund, RS Olson, DB Knoester, J Schossau, L Albantakis, ... arXiv preprint arXiv:1709.05601, 2017 | 62 | 2017 |
| Evolution of swarming behavior is shaped by how predators attack RS Olson, DB Knoester, C Adami Artificial Life 22 (3), 299-318, 2016 | 62 | 2016 |
| Layered TPOT: Speeding up tree-based pipeline optimization P Gijsbers, J Vanschoren, RS Olson arXiv preprint arXiv:1801.06007, 2018 | 52 | 2018 |
| Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure A Orlenko, JH Moore, P Orzechowski, RS Olson, J Cairns, PJ Caraballo, ... Pacific Symposium on Biocomputing, 460-471, 2018 | 47 | 2018 |
| Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming A Sohn, RS Olson, JH Moore Proceedings of the genetic and evolutionary computation conference, 489-496, 2017 | 42 | 2017 |
| A System for Accessible Artificial Intelligence RS Olson, M Sipper, W La Cava, S Tartarone, S Vitale, W Fu, ... Genetic Programming Theory and Practice XV, 121-134, 2017 | 38 | 2017 |
| Using Machine Learning on Home Health Care Assessments to Predict Fall Risk Y Lo, SF Lynch, RJ Urbanowicz, RS Olson, AZ Ritter, CR Whitehouse, ... Studies in Health Technology and Informatics 264, 684-688, 2019 | 32 | 2019 |
Jason H. MooreChair, Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CAVerified email at csmc.edu
