| 2025 | GECCO | Evaluating the Generalizability of Machine Learning Pipelines When Using Lexicase or Tournament Selection. | Jose Guadalupe Hernandez, Anil Kumar Saini, Ankit Gupta, Jason H. Moore |
| 2025 | GECCO | Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples. | Jose Guadalupe Hernandez, Anil Kumar Saini, Gabriel Ketron, Jason H. Moore |
| 2025 | ICCV | Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery. | Zixuan Wen, Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen |
| 2025 | IJCNN | Ethics vs. Regulation: Converging Frameworks for Trustworthy Human-Centered AI in Biomedical Research. | Tayo Obafemi-Ajayi, Tiffani J. Bright, Emily F. Wong, Donald Wunsch, Joan Peckham, Jason H. Moore |
| 2025 | MICCAI | Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework. | Huixin Zhan, Jason H. Moore |
| 2024 | GECCO | Lexidate: Model Evaluation and Selection with Lexicase. | Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore |
| 2024 | GECCO | Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis. | Alexa A. Woodward, Harsh Bandhey, Jason H. Moore, Ryan J. Urbanowicz |
| 2023 | EUROGP | Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning. | Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikinen, Jari O. Laurikka, Terho Lehtimki, Sandra Batista, Jason H. Moore |
| 2023 | GECCO | Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. | Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore |
| 2022 | GECCO | A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. | Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost B. Wagenaar |
| 2021 | GECCO | Rapid prototyping of evolution-driven biclustering methods in Julia. | Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore |
| 2021 | GECCO | EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia. | Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore |
| 2021 | GECCO | Towards effective GP multi-class classification based on dynamic targets. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2021 | ICCS | Socio-cognitive Evolution Strategies. | Aleksandra Urbanczyk, Bartosz Nowak, Patryk Orzechowski, Jason H. Moore, Marek Kisiel-Dorohinicki, Aleksander Byrski |
| 2021 | PSB | Raising the stakeholders: Improving patient outcomes through interprofessional collaborations in AI for healthcare. | Carly A. Bobak, Marek Svoboda, Kristine A. Giffin, Dennis P. Wall, Jason H. Moore |
| 2021 | PSB | Translational Bioinformatics: Integrating Electronic Health Record and Omics Data. | Dokyoon Kim, Ju Han Kim, Jason H. Moore |
| 2020 | AMIA | Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with PFAS. | Mary Regina Boland, Lena M. Davidson, Silvia P. Caneln, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore |
| 2020 | AMIA | Explainable Artificial Intelligence (XAI): Current Approaches and Paths to the Future. | John H. Holmes, Riccardo Bellazzi, Carlo Combi, Jason H. Moore, Niels Peek |
| 2020 | EUROGP | Benchmarking Manifold Learning Methods on a Large Collection of Datasets. | Patryk Orzechowski, Franciszek Magiera, Jason H. Moore |
| 2020 | EUROGP | SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2020 | GECCO | Genetic programming approaches to learning fair classifiers. | William G. La Cava, Jason H. Moore |
| 2020 | GECCO | Large scale biomedical data analysis with tree-based automated machine learning. | Trang T. Le, Weixuan Fu, Jason H. Moore |
| 2020 | GECCO | SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2020 | GECCO | Image feature learning with a genetic programming autoencoder. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2020 | PPSN | Image Feature Learning with Genetic Programming. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2020 | PSB | Translational Bioinformatics: Biobanks in the Precision Medicine Era. | Marylyn D. Ritchie, Jason H. Moore, Ju Han Kim |
| 2020 | PSB | Robust-ODAL: Learning from Heterogeneous Health Systems Without Sharing Patient-LevelData. | Jiayi Tong, Rui Duan, Ruowang Li, Martijn J. Scheuemie, Jason H. Moore, Yong Chen |
| 2019 | AMIA | Interpretation of machine learning predictions for patient outcomes in electronic health records. | William G. La Cava, Christopher R. Bauer, Jason H. Moore, Sarah A. Pendergrass |
| 2019 | CEC | Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. | Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz |
| 2019 | EUROGP | Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. | Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz |
| 2019 | GECCO | Semantic variation operators for multidimensional genetic programming. | William G. La Cava, Jason H. Moore |
| 2019 | GECCO | Discovering test statistics using genetic programming. | Jason H. Moore, Randal S. Olson, Yong Chen, Moshe Sipper |
| 2019 | GECCO | EBIC: a scalable biclustering method for large scale data analysis. | Patryk Orzechowski, Jason H. Moore |
| 2019 | GECCO | Strategies for improving performance of evolutionary biclustering algorithm EBIC. | Patryk Orzechowski, Jason H. Moore |
| 2019 | GECCO | Mining a massive RNA-seq dataset with biclustering: are evolutionary approaches ready for big data? | Patryk Orzechowski, Jason H. Moore |
| 2019 | ICLR | Learning concise representations for regression by evolving networks of trees. | William G. La Cava, Tilak Raj Singh, James Taggart, Srinivas Suri, Jason H. Moore |
| 2019 | PSB | Reading between the genes: interpreting non-coding DNA in high-throughput. | Joanne Berghout, Yves A. Lussier, Francesca Vitali, Martha L. Bulyk, Maricel G. Kann, Jason H. Moore |
| 2019 | PSB | ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sites. | Rui Duan, Mary Regina Boland, Jason H. Moore, Yong Chen |
| 2019 | PSB | Translational informatics of population Health: How large biomolecular and clinical datasets unite. | Yves A. Lussier, Atul J. Butte, Haiquan Li, Rong Chen, Jason H. Moore |
| 2018 | GECCO | An analysis of ϵ-lexicase selection for large-scale many-objective optimization. | William G. La Cava, Jason H. Moore |
| 2018 | GECCO | A multidimensional genetic programming approach for identifying epsistatic gene interactions. | William G. La Cava, Sara Silva, Kourosh Danai, Lee Spector, Leonardo Vanneschi, Jason H. Moore |
| 2018 | GECCO | Where are we now?: a large benchmark study of recent symbolic regression methods. | Patryk Orzechowski, William G. La Cava, Jason H. Moore |
| 2018 | GECCO | EBIC: a next-generation evolutionary-based parallel biclustering method. | Patryk Orzechowski, Moshe Sipper, Xiuzhen Huang, Jason H. Moore |
| 2018 | GECCO | Evolutionary computation: an investigation of parameter space. | Moshe Sipper, Weixuan Fu, Karuna Ahuja, Jason H. Moore |
| 2018 | GECCO | Attribute tracking: strategies towards improved detection and characterization of complex associations. | Ryan J. Urbanowicz, Christopher Lo, John H. Holmes, Jason H. Moore |
| 2018 | PSB | Mapping patient trajectories using longitudinal extraction and deep learning in the MIMIC-III Critical Care Database. | Brett K. Beaulieu-Jones, Patryk Orzechowski, Jason H. Moore |
| 2018 | PSB | Session Introduction. | Yves A. Lussier, Joanne Berghout, Francesca Vitali, Kenneth S. Ramos, Maricel G. Kann, Jason H. Moore |
| 2018 | PSB | Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWAS. | Elisabetta Manduchi, Alessandra Chesi, Molly A. Hall, Struan F. A. Grant, Jason H. Moore |
| 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 | EUROGP | A General Feature Engineering Wrapper for Machine Learning Using \epsilon -Lexicase Survival. | William G. La Cava, Jason H. Moore |
| 2017 | GECCO | Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods. | William G. La Cava, Jason H. Moore |
| 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 |
| 2017 | ICASSP | Network-based genome wide study of hippocampal imaging phenotype in Alzheimer's Disease to identify functional interaction modules. | Xiaohui Yao, Jingwen Yan, Shannon L. Risacher, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2017 | PSB | Missing Data Imputation in the Electronic Health Record Using Deeply Learned Autoencoders. | Brett K. Beaulieu-Jones, Jason H. Moore, et al. |
| 2017 | PSB | The Training of Next Generation Data Scientists in Biomedicine. | Lana X. Garmire, Stephen V. Gliske, Quynh C. Nguyen, Jonathan H. Chen, Shamim Nemati, John D. Van Horn, Jason H. Moore, Carol Shreffler, Michelle Dunn |
| 2017 | PSB | No-Boundary Thinking in Bioinformatics. | Jason H. Moore, Steven F. Jennings, Casey S. Greene, Lawrence E. Hunter, Andy D. Perkins, ClarLynda R. Williams-DeVane, Donald C. Wunsch, Zhongming Zhao, Xiuzhen Huang |
| 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 | 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 |
| 2016 | PSB | An Integrated Network Approach to Identifying Biological Pathways and Environmental Exposure Interactions in Complex Diseases. | Christian Darabos, Jingya Qiu, Jason H. Moore |
| 2015 | CEC | Critical properties of cellular automata with evolving network topologies. | Christian Darabos, Jason H. Moore |
| 2015 | GECCO | Retooling Fitness for Noisy Problems in a Supervised Michigan-style Learning Classifier System. | Ryan J. Urbanowicz, Jason H. Moore |
| 2015 | GECCO | Continuous Endpoint Data Mining with ExSTraCS: A Supervised Learning Classifier System. | Ryan J. Urbanowicz, Niranjan Ramanand, Jason H. Moore |
| 2015 | PSB | A Bipartite Network Approach to Inferring Interactions Between Environmental Exposures and Human Diseases. | Christian Darabos, Emily D. Grussing, Maria E. Cricco, Kenzie A. Clark, Jason H. Moore |
| 2015 | PSB | Session Introduction. | Molly A. Hall, Shefali S. Verma, Dennis P. Wall, Jason H. Moore, Brendan Keating, Daniel B. Campbell, Gregory Gibson, Folkert W. Asselbergs, Sarah A. Pendergrass |
| 2015 | PSB | Genome-Wide Genetic Interaction Analysis of Glaucoma Using Expert Knowledge Derived from Human Phenotype Networks. | Ting Hu, Christian Darabos, Maria E. Cricco, Emily Kong, Jason H. Moore |
| 2015 | PSB | Training the Next Generation of Quantitative Biologists in the Era of Big Data. | Kristine A. Pattin, Anna C. Greene, Russ B. Altman, Kevin Bretonnel Cohen, Elizabeth Wethington, Carsten Grg, Lawrence E. Hunter, Spencer V. Muse, Predrag Radivojac, Jason H. Moore |
| 2014 | MICCAI | A Novel Structure-Aware Sparse Learning Algorithm for Brain Imaging Genetics. | Lei Du, Jingwen Yan, Sungeun Kim, Shannon L. Risacher, Heng Huang, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2014 | PPSN | Population Exploration on Genotype Networks in Genetic Programming. | Ting Hu, Wolfgang Banzhaf, Jason H. Moore |
| 2014 | PPSN | An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining. | Ryan J. Urbanowicz, Gediminas Bertasius, Jason H. Moore |
| 2014 | PSB | Applications of Bioinformatics to Non-Coding RNAs in the Era of Next-Generation Sequencing. | Chao Cheng, Jason H. Moore, Casey S. Greene |
| 2014 | PSB | Using the Bipartite Human Phenotype Network to Reveal Pleiotropy and Epistasis Beyond the Gene. | Christian Darabos, Samantha H. Harmon, Jason H. Moore |
| 2014 | PSB | Building the Next Generation of Quantitative Biologists. | Kristine A. Pattin, Anna C. Greene, Russ B. Altman, Lawrence E. Hunter, David A. Ross, James A. Foster, Jason H. Moore |
| 2013 | EUROGP | Robustness and Evolvability of Recombination in Linear Genetic Programming. | Ting Hu, Wolfgang Banzhaf, Jason H. Moore |
| 2013 | GECCO | Bipartite networks to study the genotype-to-phenotype relationship in cellular automata models. | Christian Darabos, Britney E. Graham, Ting Hu, Jason H. Moore |
| 2013 | GECCO | Coevolution of rules and topology in cellular automata. | Christian Darabos, Craig O. Mackenzie, Marco Tomassini, Mario Giacobini, Jason H. Moore |
| 2013 | GECCO | A simple multi-core parallelization strategy for learning classifier system evaluation. | James Rudd, Jason H. Moore, Ryan J. Urbanowicz |
| 2013 | MICCAI | Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures. | Jingwen Yan, Heng Huang, Shannon L. Risacher, Sungeun Kim, Mark Inlow, Jason H. Moore, Andrew J. Saykin, Li Shen |
| 2013 | PSB | Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models. | Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore |
| 2012 | GECCO | Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems. | Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jason H. Moore |
| 2012 | PPSN | Using Expert Knowledge to Guide Covering and Mutation in a Michigan Style Learning Classifier System to Detect Epistasis and Heterogeneity. | Ryan J. Urbanowicz, Delaney Granizo-MacKenzie, Jason H. Moore |
| 2012 | PSB | Session introduction. | James A. Foster, Jason H. Moore, Jack A. Gilbert, John Bunge |
| 2011 | EUROGP | Robustness, Evolvability, and Accessibility in Linear Genetic Programming. | Ting Hu, Joshua L. Payne, Wolfgang Banzhaf, Jason H. Moore |
| 2011 | GECCO | Random artificial incorporation of noise in a learning classifier system environment. | Ryan J. Urbanowicz, Nicholas A. Sinnott-Armstrong, Jason H. Moore |
| 2011 | PSB | Session Introduction. | James A. Foster, Jason H. Moore |
| 2011 | PSB | Human Microbiome Visualization Using 3d Technology. | Jason H. Moore, Richard Cowper-Sallari, Douglas P. Hill, Patricia Hibberd, Juliette Madan |
| 2010 | GECCO | Bioinformatics. | Jason H. Moore |
| 2010 | GECCO | Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units. | Nicholas A. Sinnott-Armstrong, Casey S. Greene, Jason H. Moore |
| 2010 | GECCO | The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies. | Ryan J. Urbanowicz, Jason H. Moore |
| 2010 | PPSN | The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies. | Ryan J. Urbanowicz, Jason H. Moore |
| 2010 | PSB | Enabling Personal Genomics with an Explicit Test of Epistasis. | Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore |
| 2009 | CEC | Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches. | Casey S. Greene, Jeff Kiralis, Jason H. Moore |
| 2009 | CEC | Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming. | Casey S. Greene, Bill C. White, Jason H. Moore |
| 2009 | CEC | Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architecture. | Anna L. Tyler, Bill C. White, Casey S. Greene, Paul C. Andrews, Richard Cowper-Sallari, Jason H. Moore |
| 2009 | GECCO | Environmental noise improves epistasis models of genetic data discovered using a computational evolution system. | Casey S. Greene, Douglas P. Hill, Jason H. Moore |
| 2008 | GECCO | Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming. | Casey S. Greene, Bill C. White, Jason H. Moore |
| 2008 | GECCO | Mask functions for the symbolic modeling of epistasis using genetic programming. | Ryan J. Urbanowicz, Nate Barney, Bill C. White, Jason H. Moore |
| 2007 | GECCO | Bioinformatics. | Jason H. Moore |
| 2007 | GECCO | Towards human-human-computer interaction for biologically-inspired problem-solving in human genetics. | Jason H. Moore, Nate Barney, Bill C. White |
| 2006 | CIBCB | Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. | David M. Reif, Alison A. Motsinger, Brett A. McKinney, James E. Crowe Jr., Jason H. Moore |
| 2006 | PPSN | Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic Analysis. | Jason H. Moore, Bill C. White |
| 2005 | CEC | A statistical comparison of grammatical evolution strategies in the domain of human genetics. | Bill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore |
| 2005 | CEC | A statistical comparison of grammatical evolution strategies in the domain of human genetics. | Bill C. White, David M. Reif, Joshua C. Gilbert, Jason H. Moore |
| 2005 | PSB | Exploratory Visual Analysis of Pharmacogenomic Results. | David M. Reif, Scott M. Dudek, Christian M. Shaffer, Janey Wang, Jason H. Moore |
| 2004 | GECCO | Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution. | Jason H. Moore, Lance W. Hahn |
| 2004 | GECCO | Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics. | Marylyn D. Ritchie, Christopher S. Coffey, Jason H. Moore |
| 2003 | GECCO | Grammatical Evolution for the Discovery of Petri Net Models of Complex Genetic Systems. | Jason H. Moore, Lance W. Hahn |
| 2003 | GECCO | Complex Function Sets Improve Symbolic Discriminant Analysis of Microarray Data. | David M. Reif, Bill C. White, Nancy Olsen, Thomas M. Aune, Jason H. Moore |
| 2002 | GECCO | Application Of Genetic Algorithms To The Discovery Of Complex Models For Simulation Studies In Human Genetics. | Jason H. Moore, Lance W. Hahn, Marylyn D. Ritchie, Tricia A. Thornton, Bill C. White |
| 2002 | PPSN | Cellular Automata and Genetic Algorithms for Parallel Problem Solving in Human Genetics. | Jason H. Moore, Lance W. Hahn |
| 2002 | PSB | A Cellular Automata Approach to Detecting Interactions Among Single-nucleotide Polymorphisms in Complex Multifactorial Diseases. | Jason H. Moore, Lance W. Hahn |