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ORCIDRachneet Kaur
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2020 – today
- 2025
[i9]Kausik Lakkaraju, Rachneet Kaur, Parisa Zehtabi, Sunandita Patra, Siva Likitha Valluru, Zhen Zeng, Biplav Srivastava, Marco Valtorta:
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. CoRR abs/2502.12226 (2025)- 2024
- [j6]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): 4955 (2024) - [c14]Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko:
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. EMNLP 2024: 21598-21634 - [c13]Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso:
TADACap: Time-series Adaptive Domain-Aware Captioning. ICAIF 2024: 54-62 - [i8]Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso:
From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. CoRR abs/2403.11047 (2024) - [i7]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 abs/2404.16563 (2024) - [i6]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 abs/2406.12908 (2024) - [i5]Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso:
LETS-C: Leveraging Language Embedding for Time Series Classification. CoRR abs/2407.06533 (2024) - [i4]Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso:
AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. CoRR abs/2411.13451 (2024) - [i3]William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso:
LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. CoRR abs/2412.11063 (2024) - 2023
- [j5]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): 100741 (2023) - [j4]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): 9004 (2023) - [j3]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): 2181-2192 (2023) - [j2]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): 190-201 (2023) - [c12]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 - [c11]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: 82-90 - [i2]Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso:
Financial Time Series Forecasting using CNN and Transformer. CoRR abs/2304.04912 (2023) - 2021
- [j1]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): 2666-2677 (2021) - [c10]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: 583-586 - [c9]Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha:
Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights. EMBC 2021: 3035-3038 - 2020
- [c8]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: 95-98 - [c7]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: 812-815 - [c6]Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha:
Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images. EMBC 2020: 1524-1527
2010 – 2019
- 2019
- [c5]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: 1633-1640 - [c4]Rachneet Kaur, Sanjana Menon, Xiaomiao Zhang, Richard B. Sowers, Manuel E. Hernandez:
Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis. EMBC 2019: 4217-4220 - [c3]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: 5233-5236 - [c2]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: 1-7 - 2018
- [c1]Rachneet Kaur, Xun Lin, Alexander Layton, Manuel E. Hernandez, Richard B. Sowers:
Virtual Reality, Visual Cliffs, and Movement Disorders. EMBC 2018: 81-84 - [i1]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 abs/1812.00546 (2018)
Coauthor Index
aka: Manuel Enrique Hernandez
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