Publications

Phase-Alternation and Tree-Initialization to Facilitate Interpretable Rule-based Machine Learning.

Genetic and Evolutionary Computation Conference : [proceedings]. Genetic and Evolutionary Computation Conference. 2026;2026:300-309 Epub 2026 Jul 10;

Authors: Lipschutz-Villa G, Bandhey H, Dinh K, Heider M, Kamoun M, Urbanowicz RJ

Audience-Customized Translation of Rule-Based Evidence with Large Language Models Across Multiplexer Benchmarks.

Genetic and Evolutionary Computation Conference : [proceedings]. Genetic and Evolutionary Computation Conference. 2026;2026(Companion):1175-1183 Epub 2026 Aug 13;

Authors: Bandhey H, Lipschutz-Villa G, Dinh K, Kamoun M, Urbanowicz RJ

Survival-LCS: Rule-Based Survival Analysis without Proportional Hazard Assumptions.

ACM transactions on evolutionary learning and optimization. 2026;6(2) Epub 2026 Jun 29;

Authors: Woodward AA, Bandhey H, Moore JH, Urbanowicz RJ

Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.

AMIA ... Annual Symposium proceedings. AMIA Symposium. 2024;2024:1119-1128 Epub 2025 May 22;

Authors: Tong B, Edwards T, Yang S, Hou B, Tarzanagh DA, Urbanowicz RJ, Moore JH, Ritchie MD, Davatzikos C, Shen L

Rule-based Machine Learning: Separating Rule and Rule-Set Pareto-Optimization for Interpretable Noise-Agnostic Modeling.

Genetic and Evolutionary Computation Conference : [proceedings]. Genetic and Evolutionary Computation Conference. 2025;2025:407-415 Epub 2025 Jul 13;

Authors: Lipschutz-Villa G, Bandhey H, Yin R, Kamoun M, Urbanowicz RJ

Assessing the limitations of relief-based algorithms in detecting higher-order interactions.

BioData mining. 2024 Oct 1;17(1):37;

Authors: Freda PJ, Ye S, Zhang R, Moore JH, Urbanowicz RJ

Assessing the Limitations of Relief-Based Algorithms in Detecting Higher-Order Interactions.

Research square. 2024 Sep 2;

Authors: Freda PJ, Ye S, Zhang R, Moore JH, Urbanowicz RJ

Mpox Discourse on Twitter by Sexual Minority Men and Gender-Diverse Individuals: Infodemiological Study Using BERTopic.

JMIR public health and surveillance. 2024 Aug 13;10:e59193;

Authors: Wang Y, O'Connor K, Flores I, Berdahl CT, Urbanowicz RJ, Stevens R, Bauermeister JA, Gonzalez-Hernandez G

Advancing LGBTQ+ inclusion in STEM education and AI research.

Patterns (New York, N.Y.). 2024 Jun 14;5(6):101010;

Authors: Wong E, Urbanowicz RJ, Bright TJ, Tatonetti NP, Hsiao YW, Huang X, Moore JH, Peng PC

Health activism, vaccine, and mpox discourse: BERTopic based mixed-method analyses of tweets from sexual minority men and gender diverse (SMMGD) individuals in the U.S.

medRxiv : the preprint server for health sciences. 2024 Mar 19;

Authors: Wang Y, O'Connor K, Flores I, Berdahl CT, Urbanowicz RJ, Stevens R, Bauermeister JA, Gonzalez-Hernandez G

Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials.

The Lancet. Respiratory medicine. 2023 Oct;11(10):873-882 Epub 2023 May 22;

Authors: Blette BS, Moutchia J, Al-Naamani N, Ventetuolo CE, Cheng C, Appleby D, Urbanowicz RJ, Fritz J, Mazurek JA, Li F, Kawut SM, Harhay MO

Heterogeneity of treatment effects by risk in pulmonary arterial hypertension.

The European respiratory journal. 2023 Jul;62(1) Epub 2023 Jul 27;

Authors: Pan HM, McClelland RL, Moutchia J, Appleby DH, Fritz JS, Holmes JH, Minhas J, Palevsky HI, Urbanowicz RJ, Kawut SM, Al-Naamani N

ChatGPT and large language models in academia: opportunities and challenges.

BioData mining. 2023 Jul 13;16(1):20;

Authors: Meyer JG, Urbanowicz RJ, Martin PCN, O'Connor K, Li R, Peng PC, Bright TJ, Tatonetti N, Won KJ, Gonzalez-Hernandez G, Moore JH

HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm.

Journal of biomedical informatics. 2023 Jun;142:104374 Epub 2023 Apr 27;

Authors: Dasariraju S, Gragert L, Wager GL, McCullough K, Brown NK, Kamoun M, Urbanowicz RJ

Baseline Sex Differences in Pulmonary Arterial Hypertension Randomized Clinical Trials.

Annals of the American Thoracic Society. 2023 Jan;20(1):58-66;

Authors: Ventetuolo CE, Moutchia J, Baird GL, Appleby DH, McClelland RL, Minhas J, Min J, Holmes JH, Urbanowicz RJ, Al-Naamani N, Kawut SM

Genetic heterogeneity: Challenges, impacts, and methods through an associative lens.

Genetic epidemiology. 2022 Dec;46(8):555-571 Epub 2022 Aug 4;

Authors: Woodward AA, Urbanowicz RJ, Naj AC, Moore JH

BMI and Treatment Response in Patients With Pulmonary Arterial Hypertension: A Meta-analysis.

Chest. 2022 Aug;162(2):436-447 Epub 2022 Mar 3;

Authors: McCarthy BE, McClelland RL, Appleby DH, Moutchia JS, Minhas JK, Min J, Mazurek JA, Smith KA, Fritz JS, Pugliese SC, Urbanowicz RJ, Holmes JH, Palevsky HI, Kawut SM, Al-Naamani N

Secular and Regional Trends among Pulmonary Arterial Hypertension Clinical Trial Participants.

Annals of the American Thoracic Society. 2022 Jun;19(6):952-961;

Authors: Min J, Appleby DH, McClelland RL, Minhas J, Holmes JH, Urbanowicz RJ, Pugliese SC, Mazurek JA, Smith KA, Fritz JS, Palevsky HI, Suh JM, Al-Naamani N, Kawut SM

A Semi-Automated Term Harmonization Pipeline Applied to Pulmonary Arterial Hypertension Clinical Trials.

Methods of information in medicine. 2022 May;61(1-02):3-10 Epub 2021 Nov 24;

Authors: Urbanowicz RJ, Holmes JH, Appleby D, Narasimhan V, Durborow S, Al-Naamani N, Fernando M, Kawut SM

Gene-Interaction-Sensitive enrichment analysis in congenital heart disease.

BioData mining. 2022 Feb 12;15(1):4;

Authors: Woodward AA, Taylor DM, Goldmuntz E, Mitchell LE, Agopian AJ, Moore JH, Urbanowicz RJ

Embracing study heterogeneity for finding genetic interactions in large-scale research consortia.

Genetic epidemiology. 2020 Jan;44(1):52-66 Epub 2019 Oct 4;

Authors: Liu Y, Huang J, Urbanowicz RJ, Chen K, Manduchi E, Greene CS, Moore JH, Scheet P, Chen Y

Using Machine Learning on Home Health Care Assessments to Predict Fall Risk.

Studies in health technology and informatics. 2019 Aug 21;264:684-688;

Authors: Lo Y, Lynch SF, Urbanowicz RJ, Olson RS, Ritter AZ, Whitehouse CR, O'Connor M, Keim SK, McDonald M, Moore JH, Bowles KH

Preparing next-generation scientists for biomedical big data: artificial intelligence approaches.

Personalized medicine. 2019 May 1;16(3):247-257 Epub 2019 Feb 14;

Authors: Moore JH, Boland MR, Camara PG, Chervitz H, Gonzalez G, Himes BE, Kim D, Mowery DL, Ritchie MD, Shen L, Urbanowicz RJ, Holmes JH

STatistical Inference Relief (STIR) feature selection.

Bioinformatics (Oxford, England). 2019 Apr 15;35(8):1358-1365;

Authors: Le TT, Urbanowicz RJ, Moore JH, McKinney BA

To know the objective is not (necessarily) to know the objective function.

BioData mining. 2018;11:21 Epub 2018 Oct 4;

Authors: Sipper M, Urbanowicz RJ, Moore JH

Benchmarking relief-based feature selection methods for bioinformatics data mining.

Journal of biomedical informatics. 2018 Sep;85:168-188 Epub 2018 Jul 17;

Authors: Urbanowicz RJ, Olson RS, Schmitt P, Meeker M, Moore JH

Relief-based feature selection: Introduction and review.

Journal of biomedical informatics. 2018 Sep;85:189-203 Epub 2018 Jul 18;

Authors: Urbanowicz RJ, Meeker M, La Cava W, Olson RS, Moore JH

PMLB: a large benchmark suite for machine learning evaluation and comparison.

BioData mining. 2017;10:36 Epub 2017 Dec 11;

Authors: Olson RS, La Cava W, Orzechowski P, Urbanowicz RJ, Moore JH

Analysis of Gene-Gene Interactions.

Current protocols in human genetics. 2017 Oct 18;95:1.14.1-1.14.10;

Authors: Cole BS, Hall MA, Urbanowicz RJ, Gilbert-Diamond D, Moore JH

ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier System.

Evolutionary intelligence. 2015 Sep;8(2):89-116 Epub 2015 Apr 3;

Authors: Urbanowicz RJ, Moore JH

A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection.

BioData mining. 2014;7:8 Epub 2014 Jun 9;

Authors: Urbanowicz RJ, Granizo-Mackenzie AL, Kiralis J, Moore JH

A Multi-Core Parallelization Strategy for Statistical Significance Testing in Learning Classifier Systems.

Evolutionary intelligence. 2013 Nov;6(2);

Authors: Rudd J, Moore JH, Urbanowicz RJ

Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.

Journal of the American Medical Informatics Association : JAMIA. 2013 Jul-Aug;20(4):603-12 Epub 2013 Feb 26;

Authors: Urbanowicz RJ, Andrew AS, Karagas MR, Moore JH

An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems.

IEEE computational intelligence magazine. 2012 Nov;7(4):35-45;

Authors: Urbanowicz RJ, Granizo-Mackenzie A, Moore JH