Rachneet Kaur

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Characteristic Features

Convolutional Neural Network

Virtual Reality

Multiple Sclerosis

Top Venues

IEEE Trans. Biomed. Eng.

Publications

Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
LETS-C: Leveraging Language Embedding for Time Series Classification. CoRR (2024)
Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta
Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens. CoRR (2024)
Yang Hu, Mengyue Huang, Jonathan Cerna, Rachneet Kaur, Manuel E. Hernandez
Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning. Sensors 24 (15) (2024)
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. CoRR (2024)
Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Svitlana Vyetrenko, Tucker Balch
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. CoRR (2024)
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. ICAIF (2023)
Prithvi Prakash, Rachneet Kaur, Joshua Levy, Richard B. Sowers, James Brasic, Manuel E. Hernandez
A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease. EMBC (2023)
Rachneet Kaur, Joshua Levy, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez
Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait. IEEE Trans. Biomed. Eng. 70 (7) (2023)
Anant Dadu, Vipul Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue A. Qi, Daniel M. Ramos, Brian B. Avants, Jacob Hesterman, Roger Gunn, Mark R. Cookson, Michael E. Ward, Andrew B. Singleton, Roy H. Campbell, Mike A. Nalls, Faraz Faghri
Application of Aligned-UMAP to longitudinal biomedical studies. Patterns 4 (6) (2023)
Rachneet Kaur, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez
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) (2023)
Mehar Singh, Prithvi Prakash, Rachneet Kaur, Richard B. Sowers, James Robert Brasic, Manuel Enrique Hernandez
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) (2023)
Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso
Financial Time Series Forecasting using CNN and Transformer. CoRR (2023)
Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha
Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights. EMBC (2021)
Liran Ziegelman, Abdulrahman Alkurdi, Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez
Feasibility of VR Technology in Eliciting State Anxiety Changes While Walking in Older Women. EMBC (2021)
Rachneet Kaur, Zizhang Chen, Robert W. Motl, Manuel E. Hernandez, Richard B. Sowers
Predicting Multiple Sclerosis From Gait Dynamics Using an Instrumented Treadmill: A Machine Learning Approach. IEEE Trans. Biomed. Eng. 68 (9) (2021)
Rachneet Kaur, Maxim Korolkov, Manuel E. Hernandez, Richard B. Sowers
Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach. EMBC (2020)
Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Manuel E. Hernandez
Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data. EMBC (2020)
Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha
Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images. EMBC (2020)
Rachneet Kaur, Sanjana Menon, Xiaomiao Zhang, Richard B. Sowers, Manuel E. Hernandez
Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis. EMBC (2019)
Rongyi Sun, Rachneet Kaur, Liran Ziegelman, Shuo Yang, Richard B. Sowers, Manuel E. Hernandez
Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance. BIBM (2019)
Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers, Manuel E. Hernandez
Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing. EMBC (2019)
Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers, Manuel E. Hernandez
Using Virtual Reality to Examine the Neural and Physiological Anxiety-Related Responses to Balance-Demanding Target-Reaching Leaning Tasks. Humanoids (2019)
Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A. Nalls, Andrew B. Singleton, Roy H. Campbell
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data. CoRR (2018)
Rachneet Kaur, Xun Lin, Alexander Layton, Manuel E. Hernandez, Richard B. Sowers
Virtual Reality, Visual Cliffs, and Movement Disorders. EMBC (2018)