| A vision-based framework for predicting multiple sclerosis and Parkinson's disease gait dysfunctions—A deep learning approach R Kaur, RW Motl, R Sowers, ME Hernandez IEEE Journal of Biomedical and Health Informatics 27 (1), 190-201, 2022 | 27 | 2022 |
| Predicting multiple sclerosis from gait dynamics using an instrumented treadmill: a machine learning approach R Kaur, Z Chen, R Motl, ME Hernandez, R Sowers IEEE Transactions on Biomedical Engineering 68 (9), 2666-2677, 2020 | 27 | 2020 |
| Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts A Dadu, V Satone, R Kaur, SH Hashemi, H Leonard, H Iwaki, ... npj Parkinson's Disease 8 (1), 172, 2022 | 24 | 2022 |
| Machine learning and price-based load scheduling for an optimal IoT control in the smart and frugal home R Kaur, C Schaye, K Thompson, DC Yee, R Zilz, RS Sreenivas, ... Energy and AI 3, 100042, 2021 | 19 | 2021 |
| Financial time series forecasting using cnn and transformer Z Zeng, R Kaur, S Siddagangappa, S Rahimi, T Balch, M Veloso arXiv preprint arXiv:2304.04912, 2023 | 13 | 2023 |
| Using virtual reality to examine the neural and physiological anxiety-related responses to balance-demanding target-reaching leaning tasks R Kaur, R Sun, L Ziegelman, R Sowers, ME Hernandez 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), 1-7, 2019 | 13 | 2019 |
| Using virtual reality to examine the neural and physiological responses to height and perturbations in quiet standing R Kaur, R Sun, L Ziegelman, R Sowers, ME Hernandez 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 11 | 2019 |
| Exploration of machine learning to identify community dwelling older adults with balance dysfunction using short duration accelerometer data Y Hu, A Bishnoi, R Kaur, R Sowers, ME Hernandez 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 9 | 2020 |
| Virtual reality, visual cliffs, and movement disorders R Kaur, X Lin, A Layton, M Hernandez, R Sowers 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 9 | 2018 |
| Virtual reality: Recent advancements, applications and challenges L Bozgeyikli, R Bozgeyikli CRC Press, 2022 | 8 | 2022 |
| Predicting Alzheimer’s disease progression trajectory and clinical subtypes using machine learning VK Satone, R Kaur, A Dadu, H Leonard, H Iwaki, M Makarious, L Sargent, ... bioRxiv, 792432, 2019 | 7 | 2019 |
| Application of Aligned-UMAP to longitudinal biomedical studies A Dadu, VK Satone, R Kaur, MJ Koretsky, H Iwaki, YA Qi, DM Ramos, ... Patterns 4 (6), 2023 | 6 | 2023 |
| Exploring characteristic features in gait patterns for predicting multiple sclerosis R Kaur, S Menon, X Zhang, R Sowers, ME Hernandez 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 5 | 2019 |
| Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data V Satone, R Kaur, F Faghri, MA Nalls, AB Singleton, RH Campbell arXiv preprint arXiv:1812.00546, 2018 | 5 | 2018 |
| A deep learning approach for grading of motor impairment severity in Parkinson’s disease P Prakash, R Kaur, J Levy, R Sowers, J Brašić, ME Hernandez 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 3 | 2023 |
| Deep learning for multiple sclerosis differentiation using multi-stride dynamics in gait R Kaur, J Levy, RW Motl, R Sowers, ME Hernandez IEEE Transactions on Biomedical Engineering 70 (7), 2181-2192, 2023 | 3 | 2023 |
| Using virtual reality to examine the correlation between balance function and anxiety in stance R Sun, R Kaur, L Ziegelman, S Yang, R Sowers, ME Hernandez 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 3 | 2019 |
| Feasibility of VR technology in eliciting state anxiety changes while walking in older women L Ziegelman, A Alkurdi, Y Hu, A Bishnoi, R Kaur, R Sowers, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| Predicting Alzheimer’s Disease Progression Trajectory and Clinical Subtypes Using Machine Learning.” bioRxiv VK Satone, R Kaur, A Dadu, H Leonard, H Iwaki, M Makarious, L Sargent | 2 | 2020 |
| From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting Z Zeng, R Kaur, S Siddagangappa, T Balch, M Veloso Proceedings of the Fourth ACM International Conference on AI in Finance, 82-90, 2023 | 1 | 2023 |
Richard SowersUniversity of Illinois在 illinois.edu 的电子邮件经过验证
