Statistics
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MARVEL: Bringing Multi-Agent Reinforcement-Learning Based Variable Speed Limit Controllers Closer to Deployment
Zhang, Y.; Quinones-Grueiro, M.; Zhang, Z.; Wang, Y.; Barbour, W.; Biswas, G.; Work, D. “MARVEL: Bringing Multi-Agent Reinforcement-Learning Based Variable Speed Limit Controllers Closer to Deployment.” IEEE Access, 2024, DOI: 10.1109/ACCESS.2024.3489474. Variable Speed Limits (VSL) are used worldwide to help manage… Read MoreNov. 21, 2024
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Wasserstein task embedding for measuring task similarities
Liu, X.; Bai, Y.; Lu, Y.; Soltoggio, A.; Kolouri, S. “Wasserstein task embedding for measuring task similarities.” Neural Networks, Volume 181, 2025, Article 106796, DOI: 10.1016/j.neunet.2024.106796. Measuring the similarity between different tasks is important for various machine learning problems,… Read MoreNov. 21, 2024
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Characterizing patterns of diffusion tensor imaging variance in aging brains
Gao, Chenyu, Yang, Qi, Kim, Michael E., Khairi, Nazirah Mohd, Cai, Leon Y., Newlin, Nancy R., Kanakaraj, Praitayini, Remedios, Lucas W., Krishnan, Aravind R., Yu, Xin, Yao, Tianyuan, & Zhang, Panpan. (2024). Characterizing patterns of diffusion tensor imaging variance in aging brains. Journal of Medical Imaging, 11(4), 044007. Read MoreSep. 22, 2024
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Time-Series Few Shot Anomaly Detection for HVAC Systems
Huang, Yuxin, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024). Time-series few shot anomaly detection for HVAC systems. In Proceedings of the 12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS 2024), Ferrara, Italy, June 4-7, 2024, Volume 58, Issue 4, Pages 426-431. Read MoreSep. 22, 2024
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Empirical assessment of the assumptions of ComBat with diffusion tensor imaging
Michael E. Kim, Chenyu Gao, Leon Y. Cai, Qi Yang, Nancy R. Newlin, Karthik Ramadass, Angela Jefferson, Derek Archer, Niranjana Shashikumar, Kimberly R. Pechman, Katherine A. Gifford, Timothy J. Hohman, Lori L. Beason-Held, Susan M. Resnick, Stefan Winzeck, Kurt G. Schilling, Panpan Zhang, Daniel Moyer, and Bennett A. Landman. “… Read MoreJun. 20, 2024
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Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites
Hanliang Xu, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Praitayini Kanakaraj, Aravind R. Krishnan, Lucas W. Remedios, Nazirah Mohd Khairi, Kimberly Pechman, Derek Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Išgum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, and Bennett A. Landman. “Evaluation of Mean Shift, ComBat,… Read MoreJun. 20, 2024
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MidRISH: Unbiased harmonization of rotationally invariant harmonics of the diffusion signal
Nancy R. Newlin, Michael E. Kim, Praitayini Kanakaraj, Tianyuan Yao, Timothy Hohman, Kimberly R. Pechman, Lori L. Beason-Held, Susan M. Resnick, Derek Archer, Angela Jefferson, Bennett A. Landman, and Daniel Moyer. “MidRISH: Unbiased Harmonization of Rotationally Invariant Harmonics of the Diffusion Signal.” Magnetic Resonance Imaging, 2024, doi:10.1016/j.mri.2024.03.033. Data harmonization… Read MoreJun. 20, 2024
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Nonlinear Gradient Field Estimation in Diffusion MRI Tensor Simulation
Praitayini Kanakaraj, Tianyuan Yao, Nancy R. Newlin, Leon Y. Cai, Kurt G. Schilling, Baxter P. Rogers, Adam Anderson, Daniel Moyer, and Bennett A. Landman. “Nonlinear Gradient Field Estimation in Diffusion MRI Tensor Simulation.” Proceedings of SPIE Medical Imaging 2024: Physics of Medical Imaging, vol. 12925, 1292549, 2024, San Diego,… Read MoreJun. 20, 2024
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pyPheWAS Explorer: a visualization tool for exploratory analysis of phenome-disease associations
Cailey I. Kerley, Tin Q. Nguyen, Karthik Ramadass, Laurie E. Cutting, Bennett A. Landman, and Matthew Berger. “pyPheWAS Explorer: A Visualization Tool for Exploratory Analysis of Phenome-Disease Associations.” JAMIA Open, vol. 6, no. 1, 2023, Objective: This study aims to provide an easy-to-use tool for visualizing phenome-wide association studies… Read MoreJun. 20, 2024