Rachneet Kaur

According to our database, Rachneet Kaur authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning.

Yang Hu, Mengyue Huang, Jonathan Cerna, Rachneet Kaur, Manuel E. Hernandez

Sensors, August, 2024

LETS-C: Leveraging Language Embedding for Time Series Classification.

Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso

CoRR, 2024

Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens.

Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta

CoRR, 2024

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.

Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Svitlana Vyetrenko, Tucker Balch

CoRR, 2024

TADACap: Time-series Adaptive Domain-Aware Captioning.

Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark.

Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments.

Mehar Singh, Prithvi Prakash, Rachneet Kaur, Richard B. Sowers, James Robert Brasic, Manuel Enrique Hernandez

Sensors, November, 2023

Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait.

Rachneet Kaur, Joshua Levy, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez

IEEE Trans. Biomed. Eng., July, 2023

Application of Aligned-UMAP to longitudinal biomedical studies.

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

Patterns, June, 2023

A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach.

Rachneet Kaur, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez

IEEE J. Biomed. Health Informatics, 2023

Financial Time Series Forecasting using CNN and Transformer.

Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso

CoRR, 2023

From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting.

Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease.

Prithvi Prakash, Rachneet Kaur, Joshua Levy, Richard B. Sowers, James R. Brasic, Manuel E. Hernandez

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

Predicting Multiple Sclerosis From Gait Dynamics Using an Instrumented Treadmill: A Machine Learning Approach.

Rachneet Kaur, Zizhang Chen, Robert W. Motl, Manuel E. Hernandez, Richard B. Sowers

IEEE Trans. Biomed. Eng., 2021

Feasibility of VR Technology in Eliciting State Anxiety Changes While Walking in Older Women.

Liran Ziegelman, Abdulrahman Alkurdi, Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights.

Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach.

Rachneet Kaur, Maxim Korolkov, Manuel E. Hernandez, Richard B. Sowers

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images.

Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data.

Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Using Virtual Reality to Examine the Neural and Physiological Anxiety-Related Responses to Balance-Demanding Target-Reaching Leaning Tasks.

Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing.

Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis.

Rachneet Kaur, Sanjana Menon, Xiaomiao Zhang, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance.

Rongyi Sun, Rachneet Kaur, Liran Ziegelman, Shuo Yang, Richard B. Sowers, Manuel E. Hernandez

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data.

Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A. Nalls, Andrew B. Singleton, Roy H. Campbell

CoRR, 2018

Virtual Reality, Visual Cliffs, and Movement Disorders.

Rachneet Kaur, Xun Lin, Alexander Layton, Manuel E. Hernandez, Richard B. Sowers

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018