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Ryan J. Urbanowicz - Publications

Affiliations: 
Dartmouth College, Hanover, NH, United States 
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32 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Meyer JG, Urbanowicz RJ, Martin PCN, O'Connor K, Li R, Peng PC, Bright TJ, Tatonetti N, Won KJ, Gonzalez-Hernandez G, Moore JH. ChatGPT and large language models in academia: opportunities and challenges. Biodata Mining. 16: 20. PMID 37443040 DOI: 10.1186/s13040-023-00339-9  0.67
2023 Wang X, Feng Y, Tong B, Bao J, Ritchie MD, Saykin AJ, Moore JH, Urbanowicz R, Shen L. Exploring Automated Machine Learning for Cognitive Outcome Prediction from Multimodal Brain Imaging using STREAMLINE. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2023: 544-553. PMID 37350896  0.588
2023 Tong B, Risacher SL, Bao J, Feng Y, Wang X, Ritchie MD, Moore JH, Urbanowicz R, Saykin AJ, Shen L. Comparing Amyloid Imaging Normalization Strategies for Alzheimer's Disease Classification using an Automated Machine Learning Pipeline. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2023: 525-533. PMID 37350880  0.571
2022 Woodward AA, Urbanowicz RJ, Naj AC, Moore JH. Genetic heterogeneity: Challenges, impacts, and methods through an associative lens. Genetic Epidemiology. PMID 35924480 DOI: 10.1002/gepi.22497  0.457
2022 Woodward AA, Taylor DM, Goldmuntz E, Mitchell LE, Agopian AJ, Moore JH, Urbanowicz RJ. Gene-Interaction-Sensitive enrichment analysis in congenital heart disease. Biodata Mining. 15: 4. PMID 35151364 DOI: 10.1186/s13040-022-00287-w  0.416
2021 Holmes JH, Beinlich J, Boland MR, Bowles KH, Chen Y, Cook TS, Demiris G, Draugelis M, Fluharty L, Gabriel PE, Grundmeier R, Hanson CW, Herman DS, Himes BE, Hubbard RA, ... ... Urbanowicz R, et al. Why Is the Electronic Health Record So Challenging for Research and Clinical Care? Methods of Information in Medicine. PMID 34282602 DOI: 10.1055/s-0041-1731784  0.514
2020 Hu T, Darabos C, Urbanowicz R. Editorial: Machine Learning in Genome-Wide Association Studies. Frontiers in Genetics. 11: 593958. PMID 33193740 DOI: 10.3389/fgene.2020.593958  0.674
2020 Moore JH, Barnett I, Boland MR, Chen Y, Demiris G, Gonzalez-Hernandez G, Herman DS, Himes BE, Hubbard RA, Kim D, Morris JS, Mowery DL, Ritchie MD, Shen L, Urbanowicz R, et al. Ideas for how informaticians can get involved with COVID-19 research. Biodata Mining. 13: 3. PMID 32419848 DOI: 10.1186/S13040-020-00213-Y  0.562
2020 Liu Y, Huang J, Urbanowicz RJ, Chen K, Manduchi E, Greene CS, Moore JH, Scheet P, Chen Y. Back Cover Image Genetic Epidemiology. 44. DOI: 10.1002/Gepi.22220  0.548
2019 Liu Y, Huang J, Urbanowicz RJ, Chen K, Manduchi E, Greene CS, Moore JH, Scheet P, Chen Y. Embracing study heterogeneity for finding genetic interactions in large-scale research consortia. Genetic Epidemiology. PMID 31583758 DOI: 10.1002/Gepi.22262  0.636
2019 Lo Y, Lynch SF, Urbanowicz RJ, Olson RS, Ritter AZ, Whitehouse CR, O'Connor M, Keim SK, McDonald M, Moore JH, Bowles KH. Using Machine Learning on Home Health Care Assessments to Predict Fall Risk. Studies in Health Technology and Informatics. 264: 684-688. PMID 31438011 DOI: 10.3233/Shti190310  0.455
2019 Moore JH, Boland MR, Camara PG, Chervitz H, Gonzalez G, Himes BE, Kim D, Mowery DL, Ritchie MD, Shen L, Urbanowicz RJ, Holmes JH. Preparing next-generation scientists for biomedical big data: artificial intelligence approaches. Personalized Medicine. PMID 30760118 DOI: 10.2217/Pme-2018-0145  0.6
2019 Mazzotti DR, Keenan BT, Urbanowicz R, Pack AI. 0832 Evaluating Supervised Machine Learning Models for Cardiovascular Disease Prediction Using Conventional Risk Factors, Apnea-Hypopnea Index and Epworth Sleepiness Scale Sleep. 42: A334-A334. DOI: 10.1093/Sleep/Zsz067.830  0.363
2019 Wojcieszynski A, La Cava W, Baumann B, Lukens J, Ghiam AF, Urbanowicz R, Swisher-McClure S, Doucette A, Gabriel P, Lin A, Xiao Y, Moore J, Metz J. Machine Learning to Predict Toxicity in Head and Neck Cancer Patients Treated with Definitive Chemoradiation International Journal of Radiation Oncology*Biology*Physics. 105: E139-E140. DOI: 10.1016/J.Ijrobp.2019.06.2182  0.48
2018 Sipper M, Urbanowicz RJ, Moore JH. To know the objective is not (necessarily) to know the objective function. Biodata Mining. 11: 21. PMID 30323861 DOI: 10.1186/S13040-018-0182-8  0.378
2018 Le TT, Urbanowicz RJ, Moore JH, McKinney BA. Statistical Inference Relief (STIR) feature selection. Bioinformatics (Oxford, England). PMID 30239600 DOI: 10.1093/Bioinformatics/Bty788  0.522
2018 Urbanowicz RJ, Meeker M, Cava W, Olson RS, Moore JH. Relief-Based Feature Selection: Introduction and Review. Journal of Biomedical Informatics. PMID 30031057 DOI: 10.1016/J.Jbi.2018.07.014  0.527
2018 Urbanowicz RJ, Olson RS, Schmitt P, Meeker M, Moore JH. Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining. Journal of Biomedical Informatics. PMID 30030120 DOI: 10.1016/J.Jbi.2018.07.015  0.535
2018 Verma SS, Lucas A, Zhang X, Veturi Y, Dudek S, Li B, Li R, Urbanowicz R, Moore JH, Kim D, Ritchie MD. Collective feature selection to identify crucial epistatic variants. Biodata Mining. 11: 5. PMID 29713383 DOI: 10.1186/S13040-018-0168-6  0.729
2017 Olson RS, La Cava W, Orzechowski P, Urbanowicz RJ, Moore JH. PMLB: a large benchmark suite for machine learning evaluation and comparison. Biodata Mining. 10: 36. PMID 29238404 DOI: 10.1186/S13040-017-0154-4  0.563
2017 Cole BS, Hall MA, Urbanowicz RJ, Gilbert-Diamond D, Moore JH. Analysis of Gene-Gene Interactions. Current Protocols in Human Genetics. 95: 1.14.1-1.14.10. PMID 29044470 DOI: 10.1002/Cphg.45  0.657
2015 Urbanowicz RJ, Moore JH. ExSTraCS 2.0: Description and Evaluation of a Scalable Learning Classifier System. Evolutionary Intelligence. 8: 89-116. PMID 26417393 DOI: 10.1007/S12065-015-0128-8  0.57
2015 Urbanowicz RJ. Rule-based machine learning classification and knowledge discovery for complex problems Acm Sigevolution. 7: 3-11. DOI: 10.1145/2815474.2815475  0.446
2015 Kovacs T, Iqbal M, Shafi K, Urbanowicz R. Special issue on the 20th anniversary of XCS Evolutionary Intelligence. 8: 51-53. DOI: 10.1007/S12065-015-0131-0  0.412
2014 Urbanowicz RJ, Granizo-Mackenzie AL, Kiralis J, Moore JH. A classification and characterization of two-locus, pure, strict, epistatic models for simulation and detection. Biodata Mining. 7: 8. PMID 25057293 DOI: 10.1186/1756-0381-7-8  0.513
2013 Rudd J, Moore JH, Urbanowicz RJ. A Multi-Core Parallelization Strategy for Statistical Significance Testing in Learning Classifier Systems. Evolutionary Intelligence. 6. PMID 24358057 DOI: 10.1007/S12065-013-0092-0  0.558
2013 Urbanowicz RJ, Andrew AS, Karagas MR, Moore JH. 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. 20: 603-12. PMID 23444013 DOI: 10.1136/Amiajnl-2012-001574  0.529
2012 Urbanowicz RJ, Granizo-Mackenzie A, Moore JH. An Analysis Pipeline with Statistical and Visualization-Guided Knowledge Discovery for Michigan-Style Learning Classifier Systems. Ieee Computational Intelligence Magazine. 7: 35-45. PMID 25431544 DOI: 10.1109/Mci.2012.2215124  0.543
2012 Urbanowicz RJ, Kiralis J, Sinnott-Armstrong NA, Heberling T, Fisher JM, Moore JH. GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures. Biodata Mining. 5: 16. PMID 23025260 DOI: 10.1186/1756-0381-5-16  0.505
2012 Urbanowicz RJ, Kiralis J, Fisher JM, Moore JH. Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection. Biodata Mining. 5: 15. PMID 23014095 DOI: 10.1186/1756-0381-5-15  0.492
2009 Urbanowicz RJ, Moore JH. Learning Classifier Systems: A Complete Introduction, Review, and Roadmap Journal of Artificial Evolution and Applications. 2009: 1-25. DOI: 10.1155/2009/736398  0.551
2008 Urbanowicz RJ, White BC, Moore JH. Mask Functions for the Symbolic Modeling of Epistasis Using Genetic Programming. Genetic and Evolutionary Computation Conference : [Proceedings] / Sponsored by Acm Sigevo. Genetic and Evolutionary Computation Conference. 2008: 339-346. PMID 23019565  0.434
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