Ryan J. Urbanowicz

82 papers A 10B 2C 1Misc 1Journal 37Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Automated Machine Learning Tools for Data Science, Modeling, and Algorithm Benchmarking. GECCO Companion Ryan J. Urbanowicz
2025	A	`conf`	Rule-based Machine Learning: Separating Rule and Rule-Set Pareto-Optimization for Interpretable Noise-Agnostic Modeling. GECCO Gabriel Lipschutz-Villa, Harsh Bandhey, Ruonan Yin, Malek Kamoun, Ryan J. Urbanowicz
2024	J	`jnl`	Advancing LGBTQ+ inclusion in STEM education and AI research. Patterns Emily F. Wong, Ryan J. Urbanowicz, Tiffani J. Bright, Nicholas P. Tatonetti, Yi-Wen Hsiao, Xiuzhen Huang, Jason H. Moore, Pei-Chen Peng
2024	J	`jnl`	Assessing the limitations of relief-based algorithms in detecting higher-order interactions. BioData Min. Philip J. Freda, Suyu Ye, Robert Zhang, Jason H. Moore, Ryan J. Urbanowicz
2024	J	`jnl`	Coevolving Artistic Images Using OMNIREP. CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2024	—	`conf`	Evolutionary Feature-Binning with Adaptive Burden Thresholding for Biomedical Risk Stratification. EvoApplications@EvoStar Harsh Bandhey, Sphia Sadek, Malek Kamoun, Ryan J. Urbanowicz
2024	—	`conf`	Evolutionary Machine Learning for Interpretable and eXplainable AI. GECCO Companion Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz
2024	J	`jnl`	New Pathways in Coevolutionary Computation. CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2024	A	`conf`	Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis. GECCO Alexa A. Woodward, Harsh Bandhey, Jason H. Moore, Ryan J. Urbanowicz
2023	J	`jnl`	A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure. J. Medical Syst. Rachel Kohn, Michael O. Harhay, Gary E. Weissman, Ryan J. Urbanowicz, Wei Wang, George L. Anesi, Stefania Scott, Brian Bayes, S. Ryan Greysen, Scott D. Halpern, Meeta Prasad Kerlin
2023	J	`jnl`	ChatGPT and large language models in academia: opportunities and challenges. BioData Min. Jesse G. Meyer, Ryan J. Urbanowicz, Patrick C. N. Martin, Karen O'Connor, Ruowang Li, Pei-Chen Peng, Tiffani J. Bright, Nicholas P. Tatonetti, Kyoung-Jae Won, Graciela Gonzalez-Hernandez, Jason H. Moore
2023	J	`jnl`	HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm. J. Biomed. Informatics Satvik Dasariraju, Loren Gragert, Grace L. Wager, Keith McCullough, Nicholas K. Brown, Malek Kamoun, Ryan J. Urbanowicz
2023	—	`conf`	Modern Applications of Evolutionary Rule-based Machine Learning. GECCO Companion Abubakar Siddique, Will N. Browne, Ryan J. Urbanowicz
2023	—	`conf`	Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing. MedInfo Audrey Yang, Sam Kamien, Anahita Davoudi, Sy Hwang, Meet Gandhi, Ryan J. Urbanowicz, Danielle L. Mowery
2023	J	`jnl`	STREAMLINE: An Automated Machine Learning Pipeline for Biomedicine Applied to Examine the Utility of Photography-Based Phenotypes for OSA Prediction Across International Sleep Centers. CoRR Ryan J. Urbanowicz, Harsh Bandhey, Brendan T. Keenan, Greg Maislin, Sy Hwang, Danielle L. Mowery, Shannon M. Lynch, Diego R. Mazzotti, Fang Han, Qing Yun Li, Thomas Penzel, Sergio Tufik, Lia Bittencourt, Thorarinn Gislason, Philip de Chazal, Bhajan Singh, Nigel McArdle, Ning-Hung Chen, Allan Pack, Richard J. Schwab, Peter A. Cistulli, Ulysses J. Magalang
2023	—	`conf`	Scikit-FIBERS: An 'OR'-Rule Discovery Evolutionary Algorithm for Risk Stratification in Right-Censored Survival Analyses. GECCO Companion Ryan J. Urbanowicz, Harsh Bandhey, Malek Kamoun, Nolan Fogarty, Yi-An Hsieh
2022	J	`jnl`	Automatically Balancing Model Accuracy and Complexity using Solution and Fitness Evolution (SAFE). CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2022	J	`jnl`	Gene-Interaction-Sensitive enrichment analysis in congenital heart disease. BioData Min. Alexa A. Woodward, Deanne M. Taylor, Elizabeth Goldmuntz, Laura E. Mitchell, A. J. Agopian, Jason H. Moore, Ryan J. Urbanowicz
2022	Misc	`conf`	Identifying Barriers to Post-Acute Care Referral and Characterizing Negative Patient Preferences Among Hospitalized Older Adults Using Natural Language Processing. AMIA Erin E. Kennedy, Anahita Davoudi, Sy Hwang, Ryan J. Urbanowicz, Philip J. Freda, Kathryn H. Bowles, Danielle L. Mowery
2022	—	`conf`	STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. GPTP Ryan J. Urbanowicz, Robert Zhang, Yuhan Cui, Pranshu Suri
2022	J	`jnl`	STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. CoRR Ryan J. Urbanowicz, Robert Zhang, Yuhan Cui, Pranshu Suri
2022	J	`jnl`	Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2022	J	`jnl`	Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. CoRR Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2021	J	`jnl`	LCS-DIVE: An Automated Rule-based Machine Learning Visualization Pipeline for Characterizing Complex Associations in Classification. CoRR Robert Zhang, Rachael Stolzenberg-Solomon, Shannon M. Lynch, Ryan J. Urbanowicz
2021	—	`conf`	RARE: evolutionary feature engineering for rare-variant bin discovery. GECCO Companion Satvik Dasariraju, Ryan J. Urbanowicz
2020	J	`jnl`	A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments. CoRR Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch
2020	—	`conf`	A scikit-learn compatible learning classifier system. GECCO Companion Robert F. Zhang, Ryan J. Urbanowicz
2020	C	`conf`	Coevolving Artistic Images Using OMNIREP. EvoMUSART Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2020	—	`conf`	Data Literacy for Social Justice. ICLS Camillia Matuk, Susan A. Yoon, Joseph L. Polman, Anna Amato, Jacob Barton, Nicole Bulalacao, Francesco Cafaro, Lina Chopra Haldar, Amanda M. Cottone, Krista Cortes, Kayla DesPortes, Tim Erickson, William Finzer, Katie Headrick Taylor, Beth Herbel-Eisenmann, Cynthia Graville, Kris D. Gutiérrez, Traci Higgins, Blanca E. Himes, Kathryn A. Lanouette, Hollylynne Lee, Vivian Lim, M. Lisette Lopez, Leilah Lyons, Dan Milz, Maria C. Olivares, Elizabeth Osche, Tapan S. Parikh, Thomas M. Philip, Laurie Rubel, Joey Shelley, Edward Rivero, Jessica Roberts, Collette Roberto, Tony Petrosino, Andee Rubin, Jooeun Shim, Megan Silander, Stephen Sommer, David Stokes, Marian Tes, Milka Trajkova, Ryan J. Urbanowicz, Ralph Vacca, Sarah Van Wart, Veena Vasudevan, Michelle Hoda Wilkerson, Peter J. Woods
2020	—	`conf`	Evolutionary algorithms in biomedical data mining: challenges, solutions, and frontiers. GECCO Companion Ryan J. Urbanowicz, Moshe Sipper
2020	—	`conf`	Evolving genetic programming trees in a rule-based learning framework. GECCO Companion Siddharth Verma, Piyush Borole, Ryan J. Urbanowicz
2020	J	`jnl`	Ideas for how informaticians can get involved with COVID-19 research. BioData Min. Jason H. Moore, Ian Barnett, Mary Regina Boland, Yong Chen, George Demiris, Graciela Gonzalez-Hernandez, Daniel S. Herman, Blanca E. Himes, Rebecca A. Hubbard, Dokyoon Kim, Jeffrey S. Morris, Danielle L. Mowery, Marylyn D. Ritchie, Li Shen, Ryan J. Urbanowicz, John H. Holmes
2019	—	`conf`	New Pathways in Coevolutionary Computation. GPTP Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2019	J	`jnl`	STatistical Inference Relief (STIR) feature selection. Bioinform. Trang T. Le, Ryan J. Urbanowicz, Jason H. Moore, Brett A. McKinney
2019	B	`conf`	Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. CEC Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2019	B	`conf`	Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. EuroGP Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
2019	—	`conf`	Using Machine Learning on Home Health Care Assessments to Predict Fall Risk. MedInfo Yancy Lo, Selah F. Lynch, Ryan J. Urbanowicz, Randal S. Olson, Ashley Z. Ritter, Christina R. Whitehouse, Melissa O'Connor, Susan K. Keim, Margaret V. McDonald, Jason H. Moore, Kathryn H. Bowles
2018	A	`conf`	Attribute tracking: strategies towards improved detection and characterization of complex associations. GECCO Ryan J. Urbanowicz, Christopher Lo, John H. Holmes, Jason H. Moore
2018	J	`jnl`	Benchmarking relief-based feature selection methods for bioinformatics data mining. J. Biomed. Informatics Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore
2018	J	`jnl`	Collective feature selection to identify crucial epistatic variants. BioData Min. Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li, Ruowang Li, Ryan J. Urbanowicz, Jason H. Moore, Dokyoon Kim, Marylyn D. Ritchie
2018	—	`conf`	Introducing learning classifier systems: rules that capture complexity. GECCO (Companion) Ryan J. Urbanowicz, Danilo Vasconcellos Vargas
2018	J	`jnl`	Relief-based feature selection: Introduction and review. J. Biomed. Informatics Ryan J. Urbanowicz, Melissa Meeker, William G. La Cava, Randal S. Olson, Jason H. Moore
2018	J	`jnl`	To know the objective is not (necessarily) to know the objective function. BioData Min. Moshe Sipper, Ryan J. Urbanowicz, Jason H. Moore
2017	—	`conf`	A System for Accessible Artificial Intelligence. GPTP Randal S. Olson, Moshe Sipper, William G. La Cava, Sharon Tartarone, Steven Vitale, Weixuan Fu, Patryk Orzechowski, Ryan J. Urbanowicz, John H. Holmes, Jason H. Moore
2017	J	`jnl`	Benchmarking Relief-Based Feature Selection Methods. CoRR Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt, Melissa Meeker, Jason H. Moore
2017	—	`conf`	Introducing rule-based machine learning: capturing complexity. GECCO (Companion) Ryan J. Urbanowicz
2017	—	`book`	Introduction to Learning Classifier Systems Ryan J. Urbanowicz, Will N. Browne
2017	J	`jnl`	PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison. CoRR Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
2017	J	`jnl`	PMLB: a large benchmark suite for machine learning evaluation and comparison. BioData Min. Randal S. Olson, William G. La Cava, Patryk Orzechowski, Ryan J. Urbanowicz, Jason H. Moore
2017	—	`conf`	Problem Driven Machine Learning by Co-evolving Genetic Programming Trees and Rules in a Learning Classifier System. GPTP Ryan J. Urbanowicz, Ben Yang, Jason H. Moore
2017	J	`jnl`	Relief-Based Feature Selection: Introduction and Review. CoRR Ryan J. Urbanowicz, Melissa Meeker, William G. La Cava, Randal S. Olson, Jason H. Moore
2016	—	`conf`	Automating Biomedical Data Science Through Tree-Based Pipeline Optimization. EvoApplications (1) Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews, Nicole A. Lavender, La Creis Kidd, Jason H. Moore
2016	J	`jnl`	Automating biomedical data science through tree-based pipeline optimization. CoRR Randal S. Olson, Ryan J. Urbanowicz, Peter C. Andrews, Nicole A. Lavender, La Creis Kidd, Jason H. Moore
2016	A	`conf`	Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. GECCO Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore
2016	J	`jnl`	Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. CoRR Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, Jason H. Moore
2016	—	`conf`	Hands-on Workshop on Learning Classifier Systems. GECCO (Companion) Ryan J. Urbanowicz, Will N. Browne, Karthik Kuber
2016	—	`conf`	Introducing Rule-Based Machine Learning: Capturing Complexity. GECCO (Companion) Ryan J. Urbanowicz
2016	—	`conf`	Pareto Inspired Multi-objective Rule Fitness for Adaptive Rule-based Machine Learning. GECCO (Companion) Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore
2016	A	`conf`	Pareto Inspired Multi-objective Rule Fitness for Noise-Adaptive Rule-Based Machine Learning. PPSN Ryan J. Urbanowicz, Randal S. Olson, Jason H. Moore
2015	—	`conf`	Continuous Endpoint Data Mining with ExSTraCS: A Supervised Learning Classifier System. GECCO (Companion) Ryan J. Urbanowicz, Niranjan Ramanand, Jason H. Moore
2015	J	`jnl`	ExSTraCS 2.0: description and evaluation of a scalable learning classifier system. Evol. Intell. Ryan J. Urbanowicz, Jason H. Moore
2015	—	`conf`	Introducing Rule-based Machine Learning: A Practical Guide. GECCO (Companion) Ryan J. Urbanowicz, Will N. Browne
2015	A	`conf`	Retooling Fitness for Noisy Problems in a Supervised Michigan-style Learning Classifier System. GECCO Ryan J. Urbanowicz, Jason H. Moore
2015	J	`jnl`	Special issue on the 20th anniversary of XCS. Evol. Intell. Tim Kovacs, Muhammad Iqbal, Kamran Shafi, Ryan J. Urbanowicz
2014	J	`jnl`	A Classification and Characterization of Two-Locus, Pure, Strict, Epistatic Models for Simulation and Detection. BioData Min. Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jeff Kiralis, Jason H. Moore
2014	A	`conf`	An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining. PPSN Ryan J. Urbanowicz, Gediminas Bertasius, Jason H. Moore
2013	J	`jnl`	A multi-core parallelization strategy for statistical significance testing in learning classifier systems. Evol. Intell. James Rudd, Jason H. Moore, Ryan J. Urbanowicz
2013	—	`conf`	A simple multi-core parallelization strategy for learning classifier system evaluation. GECCO (Companion) James Rudd, Jason H. Moore, Ryan J. Urbanowicz
2013	—	`conf`	Learning classifier systems: introducing the user-friendly textbook. GECCO (Companion) Will N. Browne, Ryan J. Urbanowicz
2013	—	`conf`	Rapid Rule Compaction Strategies for Global Knowledge Discovery in a Supervised Learning Classifier System. ECAL Jie Tan, Jason H. Moore, Ryan J. Urbanowicz
2013	J	`jnl`	Research and applications: Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach. J. Am. Medical Informatics Assoc. Ryan J. Urbanowicz, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
2013	J	`jnl`	Special issue on advances in Learning Classifier Systems. Evol. Intell. Kamran Shafi, Ryan J. Urbanowicz, Muhammad Iqbal
2012	J	`jnl`	An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems. IEEE Comput. Intell. Mag. Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jason H. Moore
2012	J	`jnl`	GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures. BioData Min. Ryan J. Urbanowicz, Jeff Kiralis, Nicholas A. Sinnott-Armstrong, Tamra Heberling, Jonathan M. Fisher, Jason H. Moore
2012	A	`conf`	Instance-linked attribute tracking and feedback for michigan-style supervised learning classifier systems. GECCO Ryan J. Urbanowicz, Ambrose Granizo-Mackenzie, Jason H. Moore
2012	J	`jnl`	Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection. BioData Min. Ryan J. Urbanowicz, Jeff Kiralis, Jonathan M. Fisher, Jason H. Moore
2012	J	`jnl`	Special issue on advances in learning classifier systems. Evol. Intell. Daniele Loiacono, Albert Orriols-Puig, Ryan J. Urbanowicz
2012	—	`conf`	Using Expert Knowledge to Guide Covering and Mutation in a Michigan Style Learning Classifier System to Detect Epistasis and Heterogeneity. PPSN (1) Ryan J. Urbanowicz, Delaney Granizo-MacKenzie, Jason H. Moore
2011	—	`conf`	Random artificial incorporation of noise in a learning classifier system environment. GECCO (Companion) Ryan J. Urbanowicz, Nicholas A. Sinnott-Armstrong, Jason H. Moore
2010	—	`conf`	The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association Studies. PPSN (1) Ryan J. Urbanowicz, Jason H. Moore
2010	A	`conf`	The application of michigan-style learning classifiersystems to address genetic heterogeneity and epistasisin association studies. GECCO Ryan J. Urbanowicz, Jason H. Moore
2008	A	`conf`	Mask functions for the symbolic modeling of epistasis using genetic programming. GECCO Ryan J. Urbanowicz, Nate Barney, Bill C. White, Jason H. Moore