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Publication search results
found 297 matches
- 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) - Emma L. Fairbanks, Manop Saeung, Arissara Pongsiri, Elodie Vajda, Yuqian Wang, David J. McIver, Jason H. Richardson, Allison Tatarsky, Neil F. Lobo, Sarah J. Moore, Alongkot Ponlawat, Theeraphap Chareonviriyaphap, Amanda Ross, Nakul Chitnis:
Inference for entomological semi-field experiments: Fitting a mathematical model assessing personal and community protection of vector-control interventions. Comput. Biol. Medicine 168: 107716 (2024) - Jason Moore, Peter McMeekin, Thomas Parkes, Richard Walker, Rosie Morris, Samuel Stuart, Victoria Hetherington, Alan Godfrey:
Contextualizing remote fall risk: Video data capture and implementing ethical AI. npj Digit. Medicine 7(1) (2024) - Bonnie V. Dougherty, Connor J. Moore, Kristopher D. Rawls, Matthew L. Jenior, Bryan Chun, Sarbajeet Nagdas, Jeffrey J. Saucerman, Glynis L. Kolling, Anders Wallqvist, Jason A. Papin:
Identifying metabolic adaptations characteristic of cardiotoxicity using paired transcriptomics and metabolomics data integrated with a computational model of heart metabolism. PLoS Comput. Biol. 20(2) (2024) - Jason Moore, Alexander Genkin, Magnus Tournoy, Joshua Pughe-Sanford, Robert R. de Ruyter van Steveninck, Dmitri B. Chklovskii:
The Neuron as a Direct Data-Driven Controller. CoRR abs/2401.01489 (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 abs/2401.02965 (2024) - Moshe Sipper, Jason H. Moore:
Genetic Programming Theory and Practice: A Fifteen-Year Trajectory. CoRR abs/2402.00425 (2024) - 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) - 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) - John T. Gregg, Jason H. Moore:
STAR_outliers: a python package that separates univariate outliers from non-normal distributions. BioData Min. 16(1) (2023) - Jin Ha Lee, Jason C. Yip, Adam Moore, Yeonhee Cho, Zale de Jong, Ryan Kobashigawa, Alexander Escalera Sanchez:
Users' Perspectives on Ethical Issues Related to Playing Location-Based Augmented Reality Games: A Case Study of Pokémon GO. Int. J. Hum. Comput. Interact. 39(2): 348-362 (2023) - Jaideep Dastidar, David Riddoch, Jason Moore, Steven Pope, Jim Wesselkamper:
The AMD 400-G Adaptive SmartNIC System on Chip: A Technology Preview. IEEE Micro 43(3): 40-49 (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) - 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) - Connor J. Moore, Christopher P. Holstege, Jason A. Papin:
Metabolic modeling of sex-specific liver tissue suggests mechanism of differences in toxicological responses. PLoS Comput. Biol. 19(8) (2023) - Philip J. Tubergen, Gregory L. Medlock, Anni Moore, Xiaomu Zhang, Jason A. Papin, Cristian H. Danna:
A computational model of Pseudomonas syringae metabolism unveils a role for branched-chain amino acids in Arabidopsis leaf colonization. PLoS Comput. Biol. 19(12) (2023) - Jason Moore, Samuel Stuart, Peter McMeekin, Richard Walker, Yunus Emre Çelik, Matthew Pointon, Alan Godfrey:
Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data. Sensors 23(2): 891 (2023) - Conor Wall, Fraser Young, Jason Moore, Peter McMeekin, Richard Walker, Alan Godfrey:
A proposed pervasive smartphone application for personalised gait rehabilitation. BSN 2023: 1-4 - 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: 165-181 - 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: 144-154 - Timothy McLaughlin, Tracey L. Moore, Aaron Peter Thibault, Kim Boddie Wright, Hira Tariq Roberts, Jinsil Hwaryoung Seo, Jason M. Orsatti:
Identity-Centered User-Generated Content to Create Occupational Identity with Visual Computing. SIGGRAPH Educator's Forum 2023: 8:1-8:2 - 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 abs/2302.00731 (2023) - 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: 102423 (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) - 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) - 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 E. 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: 104176 (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: 101858 (2022) - 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: 102297 (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): 1165-1172 (2022) - Jimmy Moore, Pascal Goffin, Jason Wiese, Miriah Meyer:
Exploring the Personal Informatics Analysis Gap: "There's a Lot of Bacon". IEEE Trans. Vis. Comput. Graph. 28(1): 96-106 (2022)
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