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Richard B. Sowers
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2020 – today
- 2023
- [j11]Mehar Singh
, Prithvi Prakash, Rachneet Kaur
A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments. Sensors 23(21): 9004 (2023) - [j10]Rachneet Kaur
Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait. IEEE Trans. Biomed. Eng. 70(7): 2181-2192 (2023) - [j9]Rachneet Kaur
A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach. IEEE J. Biomed. Health Informatics 27(1): 190-201 (2023) - [c14]Prithvi Prakash, Rachneet Kaur, Joshua Levy, Richard B. Sowers, James R. Brasic, Manuel E. Hernandez:
A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease. EMBC 2023: 1-4 - 2022
- [j8]Hossein Nick Zinat Matin, Richard B. Sowers
Near-Collision Dynamics in a Noisy Car-Following Model. SIAM J. Appl. Math. 82(6): 2080-2110 (2022) - 2021
- [j7]Rachneet Kaur
Predicting Multiple Sclerosis From Gait Dynamics Using an Instrumented Treadmill: A Machine Learning Approach. IEEE Trans. Biomed. Eng. 68(9): 2666-2677 (2021) - [c13]Hossein Nick Zinat Matin, Richard B. Sowers
Approximating the Transition Probability Function Corresponding to the Solution of Stochastic Optimal Velocity Dynamical Model. ACC 2021: 3326-3332 - [c12]Liran Ziegelman, Abdulrahman Alkurdi, Yang Hu
Feasibility of VR Technology in Eliciting State Anxiety Changes While Walking in Older Women. EMBC 2021: 583-586 - [c11]Siwen Wang, Ryu Okubo, Gekai Liao, Conrad Ku, Richard B. Sowers
Designing a closed loop system to achieve real-time evaluation and manipulation of state anxiety while walking in virtual reality. NER 2021: 45-48 - 2020
- [c10]Hossein Nick Zinat Matin, Richard B. Sowers
Nonlinear Optimal Velocity Car Following Dynamics (I): Approximation in Presence of Deterministic and Stochastic Perturbations. ACC 2020: 410-415 - [c9]Hossein Nick Zinat Matin, Richard B. Sowers
Nonlinear Optimal Velocity Car Following Dynamics (II): Rate of Convergence In the Presence of Fast Perturbation. ACC 2020: 416-421 - [c8]Rachneet Kaur
Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach. EMBC 2020: 95-98 - [c7]Yang Hu
Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data. EMBC 2020: 812-815
2010 – 2019
- 2019
- [c6]Rongyi Sun, Rachneet Kaur, Liran Ziegelman, Shuo Yang, Richard B. Sowers
Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance. BIBM 2019: 1633-1640 - [c5]Rachneet Kaur
Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis. EMBC 2019: 4217-4220 - [c4]Rachneet Kaur
Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing. EMBC 2019: 5233-5236 - [c3]Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers
Using Virtual Reality to Examine the Neural and Physiological Anxiety-Related Responses to Balance-Demanding Target-Reaching Leaning Tasks. Humanoids 2019: 1-7 - 2018
- [c2]Rachneet Kaur
Virtual Reality, Visual Cliffs, and Movement Disorders. EMBC 2018: 81-84 - 2017
- [c1]Yu Wu, Gabriel Shindnes, Vaibhav Karve, Derrek Yager, Daniel B. Work
Congestion barcodes: Exploring the topology of urban congestion using persistent homology. ITSC 2017: 1-6 - [i1]Yu Wu, Gabriel Shindnes, Vaibhav Karve
Congestion Barcodes: Exploring the Topology of Urban Congestion Using Persistent Homology. CoRR abs/1707.08557 (2017) - 2016
- [j6]Ren Wang, Daniel B. Work
Multiple Model Particle Filter for Traffic Estimation and Incident Detection. IEEE Trans. Intell. Transp. Syst. 17(12): 3461-3470 (2016) - 2015
- [j5]Konstantinos Spiliopoulos, Richard B. Sowers:
Default Clustering in Large Pools: Large Deviations. SIAM J. Financial Math. 6(1): 86-116 (2015) - 2014
- [j4]Uma Ravat, Uday V. Shanbhag, Richard B. Sowers
On the inadequacy of VaR-based risk management: VaR, CVaR, and nonlinear interactions. Optim. Methods Softw. 29(4): 877-897 (2014) - [j3]Xiao Li, Michael D. Lipkin, Richard B. Sowers:
Dynamics of Bankrupt Stocks. SIAM J. Financial Math. 5(1): 232-257 (2014) - 2013
- [j2]Andrei Kirilenko, Richard B. Sowers
A multiscale model of high-frequency trading. Algorithmic Finance 2(1): 59-98 (2013) - 2011
- [j1]Jun H. Park, Boris Rozovskii, Richard B. Sowers
Efficient nonlinear filtering of a singularly perturbed stochastic hybrid system. LMS J. Comput. Math. 14: 254-270 (2011)
Coauthor Index
aka: Manuel Enrique Hernandez
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