Jason H. Moore

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 232

Top Venues

Publications

Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
New Pathways in Coevolutionary Computation. CoRR (2024)
Moshe Sipper, Jason H. Moore
Genetic Programming Theory and Practice: A Fifteen-Year Trajectory. CoRR (2024)
Alexa A. Woodward, Harsh Bandhey, Jason H. Moore, Ryan J. Urbanowicz
Survival-LCS: A Rule-Based Machine Learning Approach to Survival Analysis. GECCO (2024)
Sisi Shao, Pedro Henrique Ribeiro, Christina Ramirez, Jason H. Moore
A review of feature selection strategies utilizing graph data structures and knowledge graphs. CoRR (2024)
Emily Wong, Ryan J. Urbanowicz, Tiffani J. Bright, Nicholas P. Tatonetti, Yi-Wen Hsiao, Xiuzhen Huang, Jason H. Moore, Pei-Chen Peng
Advancing LGBTQ+ inclusion in STEM education and AI research. Patterns 5 (6) (2024)
Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
Lexidate: Model Evaluation and Selection with Lexicase. GECCO Companion (2024)
Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
Lexicase Selection Parameter Analysis: Varying Population Size and Test Case Redundancy with Diagnostic Metrics. CoRR (2024)
Yu-Ning Huang, Michael I. Love, Cynthia Flaire Ronkowski, Dhrithi Deshpande, Lynn M. Schriml, Annie Wong-Beringer, Barend Mons, Russell Corbett-Detig, Christopher I Hunter, Jason H. Moore, Lana X. Garmire, T. B. K. Reddy, Winston A. Hide, Atul J. Butte, Mark D. Robinson, Serghei Mangul
Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies. CoRR (2024)
Jose Guadalupe Hernandez, Anil Kumar Saini, Jason H. Moore
Lexidate: Model Evaluation and Selection with Lexicase. CoRR (2024)
Sandra Batista, Vered Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer, Jason H. Moore
Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis. BioData Min. 17 (1) (2024)
Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
Coevolving Artistic Images Using OMNIREP. CoRR (2024)
Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR (2024)
Bojian Hou, Zixuan Wen, Jingxuan Bao, Richard Zhang, Boning Tong, Shu Yang, Junhao Wen, Yuhan Cui, Jason H. Moore, Andrew J. Saykin, Heng Huang, Paul M. Thompson, Marylyn D. Ritchie, Christos Davatzikos, Li Shen
Interpretable deep clustering survival machines for Alzheimer's disease subtype discovery. Medical Image Anal. 97 (2024)
Philip J. Freda, Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya, Celine L. St. Pierre, Jianjun Gao, Connor D. Martin, Hao Chen, Angel G. Garcia-Martinez, Tengfei Wang, Wenyan Han, Keita Ishiwari, Paul Meyer, Alexander Lamparelli, Christopher P. King, Abraham A. Palmer, Ruowang Li, Jason H. Moore
Automated quantitative trait locus analysis (AutoQTL). BioData Min. 16 (1) (2023)
Abdulrahman Alasiri, Konrad J. Karczewski, Brian S. Cole, Bao-Li Loza, Jason H. Moore, Sander W. Van der Laan, Folkert W. Asselbergs, Brendan J. Keating, Jessica van Setten
LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes. BioData Min. 16 (1) (2023)
Casey-Tyler Berezin, Luis U. Aguilera, Sonja Billerbeck, Philip E. Bourne, Douglas Densmore, Paul S. Freemont, Thomas E. Gorochowski, Sarah I. Hernandez, Nathan J. Hillson, Connor R. King, Michael Köpke, Shuyi Ma, Katie M. Miller, Tae Seok Moon, Jason H. Moore, Brian Munsky, Chris J. Myers, Dequina A. Nicholas, Samuel J. Peccoud, Wen Zhou, Jean Peccoud
Ten simple rules for managing laboratory information. PLoS Comput. Biol. 19 (12) (2023)
William G. La Cava, Paul C. Lee, Imran Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen, Jason H. Moore, Daniel S. Herman
A flexible symbolic regression method for constructing interpretable clinical prediction models. npj Digit. Medicine 6 (2023)
Scott M. Williams, Jason H. Moore
Genetics and precision health: the ecological fallacy and artificial intelligence solutions. BioData Min. 16 (1) (2023)
Jason H. Moore
Is the evolution metaphor still necessary or even useful for genetic programming? Genet. Program. Evolvable Mach. 24 (2) (2023)
Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore, Marylyn D. Ritchie, Li Shen
Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection. MLMI@MICCAI (2) (2023)
Hyunjun Choi, Jay Moran, Nicholas Matsumoto, Miguel E. Hernandez, Jason H. Moore
Aliro: an automated machine learning tool leveraging large language models. Bioinform. 39 (10) (2023)
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
ChatGPT and large language models in academia: opportunities and challenges. BioData Min. 16 (1) (2023)
Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore
Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning. CoRR (2023)
John T. Gregg, Jason H. Moore
STAR_outliers: a python package that separates univariate outliers from non-normal distributions. BioData Min. 16 (1) (2023)
Nicholas Matsumoto, Anil Kumar Saini, Pedro Henrique Ribeiro, Hyunjun Choi, Alena Orlenko, Leo-Pekka Lyytikäinen, Jari O. Laurikka, Terho Lehtimäki, Sandra Batista, Jason H. Moore
Faster Convergence with Lexicase Selection in Tree-Based Automated Machine Learning. EuroGP (2023)
Pedro Henrique Ribeiro, Anil Kumar Saini, Jay Moran, Nicholas Matsumoto, Hyunjun Choi, Miguel E. Hernandez, Jason H. Moore
TPOT2: A New Graph-Based Implementation of the Tree-Based Pipeline Optimization Tool for Automated Machine Learning. GPTP (2023)
Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore
Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors. GECCO Companion (2023)
Mansu Kim, Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore, Qi Long, Li Shen
Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics. Medical Image Anal. 76 (2022)
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Applying Autonomous Hybrid Agent-based Computing to Difficult Optimization Problems. CoRR (2022)
Yun Hao, Joseph D. Romano, Jason H. Moore
Knowledge-guided deep learning models of drug toxicity improve interpretation. Patterns 3 (9) (2022)
Elisabetta Manduchi, Trang T. Le, Weixuan Fu, Jason H. Moore
Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (3) (2022)
Jason L. Causey, Keyu Li, Xianghao Chen, Wei Dong, Karl Walker, Jake A. Qualls, Jonathan Stubblefield, Jason H. Moore, Yuanfang Guan, Xiuzhen Huang
Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore
Benchmarking AutoML frameworks for disease prediction using medical claims. BioData Min. 15 (1) (2022)
Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134 (2022)
Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
Automatically Balancing Model Accuracy and Complexity using Solution and Fitness Evolution (SAFE). CoRR (2022)
Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM (2022)
Patryk Orzechowski, Pawel Renc, William G. La Cava, Jason H. Moore, Arkadiusz Sitek, Jaroslaw Was, Joost Wagenaar
A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark. GECCO Companion (2022)
Alexa A. Woodward, Deanne M. Taylor, Elizabeth Goldmuntz, Laura E. Mitchell, A. J. Agopian, Jason H. Moore, Ryan J. Urbanowicz
Gene-Interaction-Sensitive enrichment analysis in congenital heart disease. BioData Min. 15 (1) (2022)
Joseph D. Romano, Trang T. Le, William G. La Cava, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods. Bioinform. 38 (3) (2022)
Pedro Henrique Ribeiro, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Benchmarking AutoML algorithms on a collection of synthetic classification problems. CoRR (2022)
Griffin M. Weber, Chuan Hong, Zongqi Xia, Nathan P. Palmer, Paul Avillach, Sehi L'Yi, Mark S. Keller, Shawn N. Murphy, Alba Gutiérrez-Sacristán, Clara-Lea Bonzel, Arnaud Serret-Larmande, Antoine Neuraz, Gilbert S. Omenn, Shyam Visweswaran, Jeffrey G. Klann, Andrew M. South, Ne-Hooi Will Loh, Mario Cannataro, Brett K. Beaulieu-Jones, Riccardo Bellazzi, Giuseppe Agapito, Mario Alessiani, Bruce J. Aronow, Douglas S. Bell, Vincent Benoit, Florence T. Bourgeois, Luca Chiovato, Kelly Cho, Arianna Dagliati, Scott L. DuVall, Noelia García-Barrio, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Richard W. Issitt, Molei Liu, Yuan Luo, Kristine E. Lynch, Sarah Maidlow, Alberto Malovini, Kenneth D. Mandl, Chengsheng Mao, Michael E. Matheny, Jason H. Moore, Jeffrey S. Morris, Michele Morris, Danielle L. Mowery, Kee Yuan Ngiam, Lav P. Patel, Miguel Pedrera-Jiménez, Rachel B. Ramoni, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Anastasia Spiridou, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Carlo Torti, Enrico M. Trecarichi, Xuan Wang, James R. Aaron, Adem Albayrak, Giuseppe Albi, Anna Alloni, Danilo F. Amendola, François Angoulvant, Anthony L. L. J. Li, Fatima Ashraf, Andrew Atz, Paul Avillach, Paula S. Azevedo, James Balshi, Brett K. Beaulieu-Jones, Antonio Bellasi, Vincent Benoit, Michele Beraghi, José Luis Bernal-Sobrino, Mélodie Bernaux, Romain Bey, Surbhi Bhatnagar, Alvar Javier Blanco-Martínez, Martin Boeker, John Booth, Silvano Bosari, Robert L. Bradford, Gabriel A. Brat, Stéphane Bréant, Nicholas W. Brown, Raffaele Bruno, William A. Bryant, Mauro Bucalo, Emily Bucholz, Anita Burgun, Tianxi Cai, Aldo Carmona, Charlotte Caucheteux, Julien Champ, Krista Y. Chen, Jin Chen, Lorenzo Chiudinelli, Kelly Cho, James J. Cimino, Tiago K. Colicchio, Sylvie Cormont, Sébastien Cossin, Jean B. Craig, Juan Luis Cruz-Bermúdez, Jaime Cruz-Rojo, Mohamad Daniar, Christel Daniel, Priyam Das, Batsal Devkota, Audrey Dionne, Rui Duan, Julien Dubiel, Loic Esteve, Hossein Estiri, Shirley Fan, Robert W. Follett, Thomas Ganslandt, Noelia García-Barrio, Lana X. Garmire, Nils Gehlenborg, Emily J. Getzen, Alon Geva, Tobias Gradinger, Alexandre Gramfort, Romain Griffier, Nicolas Griffon, Olivier Grisel, Alba Gutiérrez-Sacristán, Larry Han, David A. Hanauer, Christian Haverkamp, Derek Y. Hazard, Bing He, Darren W. Henderson, Martin Hilka, Kenneth M. Huling, Meghan R. Hutch, Richard W. Issitt, Anne-Sophie Jannot, Vianney Jouhet, Ramakanth Kavuluru, Chris J. Kennedy, Kate F. Kernan, Daniel A. Key, Katie Kirchoff, Jeffrey G. Klann, Isaac S. Kohane, Ian D. Krantz, Detlef Kraska, Ashok K. Krishnamurthy, Trang T. Le, Judith Leblanc, Guillaume Lemaitre, Leslie Lenert, Damien Leprovost, Molei Liu, Qi Long, Sara Lozano-Zahonero, Sadiqa Mahmood, Sarah Maidlow, Adeline Makoudjou, Anupama Maram, Patricia Martel, Marcelo R. Martins, Jayson S. Marwaha, Aaron J. Masino, Maria Mazzitelli, Arthur Mensch, Marianna Milano, Marcos F. Minicucci, Bertrand Moal, Taha Mohseni Ahooyi, Jason H. Moore, Cinta Moraleda, Jeffrey S. Morris, Karyn L. Moshal, Sajad Mousavi, Douglas A. Murad, Shawn N. Murphy, Thomas Naughton, Carlos Tadeu Breda Neto, Jane Newburger, Kee Yuan Ngiam, Wanjiku F. M. Njoroge, James B. Norman, Jihad Obeid, Marina P. Okoshi, Karen L. Olson, Gilbert S. Omenn, Nina Orlova, Brian Ostasiewski, Nathan P. Palmer, Nicolas Paris, Lav P. Patel, Miguel Pedrera-Jiménez, Ashley C. Pfaff, Emily R. Pfaff, Danielle Pillion, Sara Pizzimenti, Hans-Ulrich Prokosch, Robson A. Prudente, Andrea Prunotto, Víctor Quirós-González, Rachel B. Ramoni, Maryna Raskin, Siegbert Rieg, Gustavo Roig-Domínguez, Pablo Rojo, Paula Rubio-Mayo, Paolo Sacchi, Carlos Sáez, Elisa Salamanca, Malarkodi Jebathilagam Samayamuthu, L. Nelson Sanchez-Pinto, Arnaud Sandrin, Nandhini Santhanam, Janaina C. C. Santos, Fernando J. Sanz Vidorreta, Maria Savino, Jürgen Schüttler, Luigia Scudeller, Neil J. Sebire, Pablo Serrano-Balazote, Patricia Serre, Arnaud Serret-Larmande, Mohsin Shah, Zahra Shakeri Hossein Abad, Domenick Silvio, Piotr Sliz, Jiyeon Son, Charles Sonday, Andrew M. South, Francesca Sperotto, Zachary H. Strasser, Amelia L. M. Tan, Bryce W. Q. Tan, Suzana E. Tanni, Deanne M. Taylor, Ana I. Terriza-Torres, Patric Tippmann, Emma M. S. Toh, Yi-Ju Tseng, Andrew K. Vallejos, Gaël Varoquaux, Margaret E. Vella, Guillaume Verdy, Jill-Jênn Vie, Shyam Visweswaran, Michele Vitacca, Kavishwar B. Wagholikar, Lemuel R. Waitman, Demian Wassermann, Griffin M. Weber, Martin Wolkewitz, Scott Wong, Zongqi Xia, Xin Xiong, Ye Ye, Nadir Yehya, William Yuan, Alberto Zambelli, Harrison G. Zhang, Daniela Zöller, Valentina Zuccaro, Chiara Zucco, Isaac S. Kohane, Tianxi Cai, Gabriel A. Brat
International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality. npj Digit. Medicine 5 (2022)
Moshe Sipper, Jason H. Moore
Symbolic-Regression Boosting. CoRR (2022)
Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. CoRR (2022)
Carlo Combi, Beatrice Amico, Riccardo Bellazzi, Andreas Holzinger, Jason H. Moore, Marinka Zitnik, John H. Holmes
A manifesto on explainability for artificial intelligence in medicine. Artif. Intell. Medicine 133 (2022)
Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
Solution and Fitness Evolution (SAFE): Coevolving Solutions and Their Objective Functions. CoRR (2022)
Philip J. Freda, Henry R. Kranzler, Jason H. Moore
Novel digital approaches to the assessment of problematic opioid use. BioData Min. 15 (1) (2022)
Mateusz Godzik, Jacek Dajda, Marek Kisiel-Dorohinicki, Aleksander Byrski, Leszek Rutkowski, Patryk Orzechowski, Joost Wagenaar, Jason H. Moore
Applying autonomous hybrid agent-based computing to difficult optimization problems. J. Comput. Sci. 64 (2022)
Jason H. Moore
Empowering the data science scientist. BioData Min. 14 (1) (2021)
Moshe Sipper, Jason H. Moore
Symbolic-regression boosting. Genet. Program. Evolvable Mach. 22 (3) (2021)
Jeffrey G. Klann, Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong, Amelia L. M. Tan, Brett K. Beaulieu-Jones, Victor M. Castro, Thomas Maulhardt, Alon Geva, Alberto Malovini, Andrew M. South, Shyam Visweswaran, Michele Morris, Malarkodi J. Samayamuthu, Gilbert S. Omenn, Kee Yuan Ngiam, Kenneth D. Mandl, Martin Boeker, Karen L. Olson, Danielle L. Mowery, Robert W. Follett, David A. Hanauer, Riccardo Bellazzi, Jason H. Moore, Ne-Hooi Will Loh, Douglas S. Bell, Kavishwar B. Wagholikar, Luca Chiovato, Valentina Tibollo, Siegbert Rieg, Anthony L. L. J. Li, Vianney Jouhet, Emily Schriver, Zongqi Xia, Meghan Hutch, Yuan Luo, Isaac S. Kohane, Gabriel A. Brat, Shawn N. Murphy
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J. Am. Medical Informatics Assoc. 28 (7) (2021)
William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore
Contemporary Symbolic Regression Methods and their Relative Performance. NeurIPS Datasets and Benchmarks (2021)
John T. Gregg, Trang T. Le, Jason H. Moore
REGENS: an open source Python package for simulating realistic autosomal genotypes. J. Open Source Softw. 6 (59) (2021)
Roland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore
Benchmarking AutoML Frameworks for Disease Prediction Using Medical Claims. CoRR (2021)
Yun Hao, Jason H. Moore
TargetTox: A Feature Selection Pipeline for Identifying Predictive Targets Associated with Drug Toxicity. J. Chem. Inf. Model. 61 (11) (2021)
Dokyoon Kim, Ju Han Kim, Jason H. Moore
Translational Bioinformatics: Integrating Electronic Health Record and Omics Data. PSB (2021)
Trang T. Le, Jason H. Moore
treeheatr: an R package for interpretable decision tree visualizations. Bioinform. 37 (2) (2021)
Jason H. Moore, Van Q. Truong, Ashley B. Robbins, David Nicholson, Clar Lynda Williams-Devane
Ten important roles for academic leaders to promote equity, diversity, and inclusion in data science. BioData Min. 14 (1) (2021)
Aleksandra Urbanczyk, Bartosz Nowak, Patryk Orzechowski, Jason H. Moore, Marek Kisiel-Dorohinicki, Aleksander Byrski
Socio-cognitive Evolution Strategies. ICCS (2) (2021)
Carly A. Bobak, Marek Svoboda, Kristine A. Giffin, Dennis P. Wall, Jason H. Moore
Raising the stakeholders: Improving patient outcomes through interprofessional collaborations in AI for healthcare. PSB (2021)
Alena Orlenko, Jason H. Moore
A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions. BioData Min. 14 (1) (2021)
Subha Madhavan, Lisa Bastarache, Jeffrey S. Brown, Atul J. Butte, David A. Dorr, Peter J. Embí, Charles P. Friedman, Kevin B. Johnson, Jason H. Moore, Isaac S. Kohane, Philip R. O. Payne, Jessica D. Tenenbaum, Mark G. Weiner, Adam B. Wilcox, Lucila Ohno-Machado
Use of electronic health records to support a public health response to the COVID-19 pandemic in the United States: a perspective from 15 academic medical centers. J. Am. Medical Informatics Assoc. 28 (2) (2021)
Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
EBIC.JL: an efficient implementation of evolutionary biclustering algorithm in Julia. GECCO Companion (2021)
Patryk Orzechowski, Jason H. Moore
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers. CoRR (2021)
Stefano Ruberto, Valerio Terragni, Jason H. Moore
A semantic genetic programming framework based on dynamic targets. Genet. Program. Evolvable Mach. 22 (4) (2021)
Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
EBIC.JL - an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia. CoRR (2021)
Pawel Renc, Patryk Orzechowski, Aleksander Byrski, Jaroslaw Was, Jason H. Moore
Rapid prototyping of evolution-driven biclustering methods in Julia. GECCO Companion (2021)
William G. La Cava, Patryk Orzechowski, Bogdan Burlacu, Fabrício Olivetti de França, Marco Virgolin, Ying Jin, Michael Kommenda, Jason H. Moore
Contemporary Symbolic Regression Methods and their Relative Performance. CoRR (2021)
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
TPOT-NN: augmenting tree-based automated machine learning with neural network estimators. Genet. Program. Evolvable Mach. 22 (2) (2021)
Mary Regina Boland, Lena M. Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore
Harnessing electronic health records to study emerging environmental disasters: a proof of concept with perfluoroalkyl substances (PFAS). npj Digit. Medicine 4 (2021)
Stefano Ruberto, Valerio Terragni, Jason H. Moore
Towards effective GP multi-class classification based on dynamic targets. GECCO (2021)
William G. La Cava, Heather Williams, Weixuan Fu, Steven Vitale, Durga Srivatsan, Jason H. Moore
Evaluating recommender systems for AI-driven biomedical informatics. Bioinform. 37 (2) (2021)
Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz
Coevolving Artistic Images Using OMNIREP. EvoMUSART (2020)
Rui Duan, Mary Regina Boland, Zixuan Liu, Yue Liu, Howard H. Chang, Hua Xu, Haitao Chu, Christopher H. Schmid, Christopher B. Forrest, John H. Holmes, Martijn J. Schuemie, Jesse A. Berlin, Jason H. Moore, Yong Chen
Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm. J. Am. Medical Informatics Assoc. 27 (3) (2020)
William G. La Cava, Jason H. Moore
Learning feature spaces for regression with genetic programming. Genet. Program. Evolvable Mach. 21 (3) (2020)
Jiayi Tong, Jing Huang, Jessica Chubak, Xuan Wang, Jason H. Moore, Rebecca A. Hubbard, Yong Chen
An augmented estimation procedure for EHR-based association studies accounting for differential misclassification. J. Am. Medical Informatics Assoc. 27 (2) (2020)
Moshe Sipper, Jason H. Moore
Genetic programming theory and practice: a fifteen-year trajectory. Genet. Program. Evolvable Mach. 21 (1-2) (2020)
Stefano Ruberto, Valerio Terragni, Jason H. Moore
Image feature learning with a genetic programming autoencoder. GECCO Companion (2020)
Trang T. Le, Hoyt Gong, Patryk Orzechowski, Elisabetta Manduchi, Jason H. Moore
Expanding Polygenic Risk Scores to Include Automatic Genotype Encodings and Gene-gene Interactions. BIOINFORMATICS (2020)
Moshe Sipper, Jason H. Moore
Conservation machine learning. BioData Min. 13 (1) (2020)
Trang T. Le, William G. La Cava, Joseph D. Romano, John T. Gregg, Daniel J. Goldberg, Praneel Chakraborty, Natasha L. Ray, Daniel S. Himmelstein, Weixuan Fu, Jason H. Moore
PMLB v1.0: an open source dataset collection for benchmarking machine learning methods. CoRR (2020)
Mary Regina Boland, Lena Davidson, Silvia P. Canelón, Jessica R. Meeker, Trevor M. Penning, John H. Holmes, Jason H. Moore
Harnessing Electronic Health Records to Study Emerging Environmental Disasters: A Proof of Concept with PFAS. AMIA (2020)
Jason H. Moore, Randal S. Olson, Peter Schmitt, Yong Chen, Elisabetta Manduchi
How Computational Experiments Can Improve Our Understanding of the Genetic Architecture of Common Human Diseases. Artif. Life 26 (1) (2020)
Alena Orlenko, Daniel Kofink, Leo-Pekka Lyytikäinen, Kjell Nikus, Pashupati P. Mishra, Pekka Kuukasjärvi, Pekka J. Karhunen, Mika Kähönen, Jari O. Laurikka, Terho Lehtimäki, Folkert W. Asselbergs, Jason H. Moore
Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning. Bioinform. 36 (6) (2020)
Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie Kirchoff, Jean B. Craig, Jihad Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schiver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Esteve, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 3 (2020)
Stefano Ruberto, Valerio Terragni, Jason H. Moore
SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets. GECCO Companion (2020)
Joseph D. Romano, Jason H. Moore
Ten simple rules for writing a paper about scientific software. PLoS Comput. Biol. 16 (11) (2020)
Moshe Sipper, Jason H. Moore
Gamorithm. IEEE Trans. Games 12 (1) (2020)
Ryan J. Urbanowicz, Pranshu Suri, Yuhan Cui, Jason H. Moore, Karen Ruth, Rachael Stolzenberg-Solomon, Shannon M. Lynch
A Rigorous Machine Learning Analysis Pipeline for Biomedical Binary Classification: Application in Pancreatic Cancer Nested Case-control Studies with Implications for Bias Assessments. CoRR (2020)
Ruowang Li, Jiayi Tong, Rui Duan, Yong Chen, Jason H. Moore
Evaluation of Phenotyping Errors on Polygenic Risk Score Predictions. BIOINFORMATICS (2020)
Rui Duan, Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C. Jason Liang, Howard H. Chang, Mary Regina Boland, Jiang Bian, Hua Xu, John H. Holmes, Christopher B. Forrest, Sally C. Morton, Jesse A. Berlin, Jason H. Moore, Kevin B. Mahoney, Yong Chen
Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. J. Am. Medical Informatics Assoc. 27 (7) (2020)
Owen Wetherbee, Jessica R. Meeker, Caroline Devoto, Trevor M. Penning, Jason H. Moore, Mary Regina Boland
WellExplorer: an integrative resource linking hydraulic fracturing chemicals with hormonal pathways and geographic location. Database J. Biol. Databases Curation 2020 (2020)
Stefano Ruberto, Valerio Terragni, Jason H. Moore
SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. EuroGP (2020)
Nadia M. Penrod, Selah F. Lynch, Jason H. Moore
Extracting Behavioral Determinants of Health from Electronic Health Records: Classifying Yoga Mentions in the Clinic. HEALTHINF (2020)
Patryk Orzechowski, Franciszek Magiera, Jason H. Moore
Benchmarking Manifold Learning Methods on a Large Collection of Datasets. EuroGP (2020)
Stefano Ruberto, Valerio Terragni, Jason H. Moore
SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. CoRR (2020)
Stefano Ruberto, Valerio Terragni, Jason H. Moore
Image Feature Learning with Genetic Programming. PPSN (2) (2020)
Joseph D. Romano, Trang T. Le, Weixuan Fu, Jason H. Moore
Is deep learning necessary for simple classification tasks? CoRR (2020)
Jason H. Moore
Ten important roles for academic leaders in data science. BioData Min. 13 (1) (2020)
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
Ideas for how informaticians can get involved with COVID-19 research. BioData Min. 13 (1) (2020)
Xiaohui Yao, Shan Cong, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Jason H. Moore, Li Shen
Regional imaging genetic enrichment analysis. Bioinform. 36 (8) (2020)

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Jason H. Moore