Virtual Reality, Visual Cliffs, and Movement Disorders. - Rachneet Kaur; Xun Lin; Alexander Layton; Manuel E. Hernandez; Richard B. Sowers (EMBC, 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)

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 (BIBM, 2019)

Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis. - Rachneet Kaur; Sanjana Menon; Xiaomiao Zhang; Richard B. Sowers; Manuel E. Hernandez (EMBC, 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 (EMBC, 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 (Humanoids, 2019)

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 (EMBC, 2020)

Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images. - Rachneet Kaur; Hamid Gholamhosseini; Roopak Sinha (EMBC, 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 (EMBC, 2020)

Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights. - Rachneet Kaur; Hamid Gholamhosseini; Roopak Sinha (EMBC, 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 (EMBC, 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)

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 (EMBC, 2023)

From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. - Zhen Zeng; Rachneet Kaur; Suchetha Siddagangappa; Tucker Balch; Manuela Veloso (ICAIF, 2023)

Financial Time Series Forecasting using CNN and Transformer. - Zhen Zeng; Rachneet Kaur; Suchetha Siddagangappa; Saba Rahimi; Tucker Balch; Manuela Veloso (CoRR, 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)

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; et al. (Patterns, 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., 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, 2023)

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 (EMNLP, 2024)

TADACap: Time-series Adaptive Domain-Aware Captioning. - Elizabeth Fons; Rachneet Kaur; Zhen Zeng; Soham Palande; Tucker Balch; Svitlana Vyetrenko; Manuela Veloso (ICAIF, 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)

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)

LETS-C: Leveraging Language Embedding for Time Series Classification. - Rachneet Kaur; Zhen Zeng; Tucker Balch; Manuela Veloso (CoRR, 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, 2024)

LETS-C: Leveraging Text Embedding for Time Series Classification. - Rachneet Kaur; Zhen Zeng; Tucker Balch; Manuela Veloso (ACL (1), 2025)

AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. - Gaurav Verma; Rachneet Kaur; Nishan Srishankar; Zhen Zeng; Tucker Balch; Manuela Veloso (ACL (1), 2025)

LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. - William Watson; Nicole Cho; Nishan Srishankar; Zhen Zeng; Lucas Cecchi; Daniel Scott; Suchetha Siddagangappa; Rachneet Kaur; Tucker Balch; Manuela Veloso (COLING (Industry), 2025)

On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. - Kausik Lakkaraju; Rachneet Kaur; Parisa Zehtabi; Sunandita Patra; Siva Likitha Valluru; Zhen Zeng; Biplav Srivastava; Marco Valtorta (CoRR, 2025)

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation. - Elizabeth Fons; Elena Kochkina; Rachneet Kaur; Zhen Zeng; Berowne Hlavaty; Charese Smiley; Svitlana Vyetrenko; Manuela Veloso (CoRR, 2025)