ÎåÒ»²è¹Ý¶ù

>

Statistics

  • ÎåÒ»²è¹Ý¶ù

    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 ÎåÒ»²è¹Ý¶ù, DOI: 10.1109/ACCESS.2024 ÎåÒ»²è¹Ý¶ù.3489474.  Variable Speed Limits (VSL) are used worldwide to help manage… Read More

    Nov. 21, 2024 ÎåÒ»²è¹Ý¶ù

  • ÎåÒ»²è¹Ý¶ù

    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 ÎåÒ»²è¹Ý¶ù.106796.    Measuring the similarity between different tasks is important for various machine learning problems,… Read More

    Nov. 21, 2024 ÎåÒ»²è¹Ý¶ù

  • ÎåÒ»²è¹Ý¶ù

    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 ÎåÒ»²è¹Ý¶ù). Characterizing patterns of diffusion tensor imaging variance in aging brains. Journal of Medical Imaging, 11(4), 044007. Read More

    Sep. 22, 2024 ÎåÒ»²è¹Ý¶ù

  • ÎåÒ»²è¹Ý¶ù

    Time-Series Few Shot Anomaly Detection for HVAC Systems

    Huang, Yuxin, Coursey, Austin, Quinones-Grueiro, Marcos, & Biswas, Gautam. (2024 ÎåÒ»²è¹Ý¶ù). 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 ÎåÒ»²è¹Ý¶ù), Ferrara, Italy, June 4-7, 2024 ÎåÒ»²è¹Ý¶ù, Volume 58, Issue 4, Pages 426-431. Read More

    Sep. 22, 2024 ÎåÒ»²è¹Ý¶ù

  • ÎåÒ»²è¹Ý¶ù

    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 More

    Jun. 20, 2024 ÎåÒ»²è¹Ý¶ù

  • ÎåÒ»²è¹Ý¶ù

    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 IÅ¡gum, Yuankai Huo, Daniel Moyer, Kurt G. Schilling, and Bennett A. Landman. “Evaluation of Mean Shift, ComBat,… Read More

    Jun. 20, 2024 ÎåÒ»²è¹Ý¶ù

  • ÎåÒ»²è¹Ý¶ù

    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 ÎåÒ»²è¹Ý¶ù, doi:10.1016/j.mri.2024 ÎåÒ»²è¹Ý¶ù.03.033. Data harmonization… Read More

    Jun. 20, 2024 ÎåÒ»²è¹Ý¶ù

  • ÎåÒ»²è¹Ý¶ù

    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 ÎåÒ»²è¹Ý¶ù: Physics of Medical Imaging, vol. 12925, 1292549, 2024 ÎåÒ»²è¹Ý¶ù, San Diego,… Read More

    Jun. 20, 2024 ÎåÒ»²è¹Ý¶ù

  • ÎåÒ»²è¹Ý¶ù

    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 More

    Jun. 20, 2024 ÎåÒ»²è¹Ý¶ù