Rachneet Kaur - RankMe

36 papers A* 1Journal 19Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation. CoRR Elizabeth Fons, Elena Kochkina, Rachneet Kaur, Zhen Zeng, Berowne Hlavaty, Charese Smiley, Svitlana Vyetrenko, Manuela Veloso
2025	—	`conf`	AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. ACL (1) Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso
2025	J	`jnl`	ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering. CoRR Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Sumitra Ganesh, Manuela Veloso
2025	—	`conf`	LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. COLING (Industry) William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso
2025	—	`conf`	LETS-C: Leveraging Text Embedding for Time Series Classification. ACL (1) Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
2025	J	`jnl`	On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series. CoRR Kausik Lakkaraju, Rachneet Kaur, Parisa Zehtabi, Sunandita Patra, Siva Likitha Valluru, Zhen Zeng, Biplav Srivastava, Marco Valtorta
2025	J	`jnl`	SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding. CoRR Yiqiao Jin, Rachneet Kaur, Zhen Zeng, Sumitra Ganesh, Srijan Kumar
2025	J	`jnl`	TADACap: Time-series Adaptive Domain-Aware Captioning. CoRR Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso
2024	J	`jnl`	AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations. CoRR Gaurav Verma, Rachneet Kaur, Nishan Srishankar, Zhen Zeng, Tucker Balch, Manuela Veloso
2024	A*	`conf`	Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. EMNLP Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko
2024	J	`jnl`	Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark. CoRR Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Svitlana Vyetrenko, Tucker Balch
2024	J	`jnl`	From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. CoRR Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
2024	J	`jnl`	LAW: Legal Agentic Workflows for Custody and Fund Services Contracts. CoRR William Watson, Nicole Cho, Nishan Srishankar, Zhen Zeng, Lucas Cecchi, Daniel Scott, Suchetha Siddagangappa, Rachneet Kaur, Tucker Balch, Manuela Veloso
2024	J	`jnl`	LETS-C: Leveraging Language Embedding for Time Series Classification. CoRR Rachneet Kaur, Zhen Zeng, Tucker Balch, Manuela Veloso
2024	J	`jnl`	Rating Multi-Modal Time-Series Forecasting Models (MM-TSFM) for Robustness Through a Causal Lens. CoRR Kausik Lakkaraju, Rachneet Kaur, Zhen Zeng, Parisa Zehtabi, Sunandita Patra, Biplav Srivastava, Marco Valtorta
2024	—	`conf`	TADACap: Time-series Adaptive Domain-Aware Captioning. ICAIF Elizabeth Fons, Rachneet Kaur, Zhen Zeng, Soham Palande, Tucker Balch, Svitlana Vyetrenko, Manuela Veloso
2024	J	`jnl`	Tai Chi Expertise Classification in Older Adults Using Wrist Wearables and Machine Learning. Sensors Yang Hu, Mengyue Huang, Jonathan Cerna, Rachneet Kaur, Manuel E. Hernandez
2023	J	`jnl`	A Deep Learning Approach for Automatic and Objective Grading of the Motor Impairment Severity in Parkinson's Disease for Use in Tele-Assessments. Sensors Mehar Singh, Prithvi Prakash, Rachneet Kaur, Richard B. Sowers, James Robert Brasic, Manuel Enrique Hernandez
2023	—	`conf`	A Deep Learning Approach for Grading of Motor Impairment Severity in Parkinson's Disease. EMBC Prithvi Prakash, Rachneet Kaur, Joshua Levy, Richard B. Sowers, James R. Brasic, Manuel E. Hernandez
2023	J	`jnl`	A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson's Disease Gait Dysfunctions - A Deep Learning Approach. IEEE J. Biomed. Health Informatics Rachneet Kaur, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez
2023	J	`jnl`	Application of Aligned-UMAP to longitudinal biomedical studies. Patterns Anant Dadu, Vipul Satone, Rachneet Kaur, Mathew J. Koretsky, Hirotaka Iwaki, Yue A. Qi, Daniel M. Ramos, Brian B. Avants, Jacob Hesterman, Roger N. Gunn, Mark R. Cookson, Michael E. Ward, Andrew B. Singleton, Roy H. Campbell, Mike A. Nalls, Faraz Faghri
2023	J	`jnl`	Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait. IEEE Trans. Biomed. Eng. Rachneet Kaur, Joshua Levy, Robert W. Motl, Richard B. Sowers, Manuel E. Hernandez
2023	J	`jnl`	Financial Time Series Forecasting using CNN and Transformer. CoRR Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Saba Rahimi, Tucker Balch, Manuela Veloso
2023	—	`conf`	From Pixels to Predictions: Spectrogram and Vision Transformer for Better Time Series Forecasting. ICAIF Zhen Zeng, Rachneet Kaur, Suchetha Siddagangappa, Tucker Balch, Manuela Veloso
2021	—	`conf`	Feasibility of VR Technology in Eliciting State Anxiety Changes While Walking in Older Women. EMBC Liran Ziegelman, Abdulrahman Alkurdi, Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez
2021	—	`conf`	Lesion Border Detection of Skin Cancer Images Using Deep Fully Convolutional Neural Network with Customized Weights. EMBC Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha
2021	J	`jnl`	Predicting Multiple Sclerosis From Gait Dynamics Using an Instrumented Treadmill: A Machine Learning Approach. IEEE Trans. Biomed. Eng. Rachneet Kaur, Zizhang Chen, Robert W. Motl, Manuel E. Hernandez, Richard B. Sowers
2020	—	`conf`	Automatic Identification of Brain Independent Components in Electroencephalography Data Collected while Standing in a Virtually Immersive Environment - A Deep Learning-Based Approach. EMBC Rachneet Kaur, Maxim Korolkov, Manuel E. Hernandez, Richard B. Sowers
2020	—	`conf`	Deep Convolutional Neural Network for Melanoma Detection using Dermoscopy Images. EMBC Rachneet Kaur, Hamid Gholamhosseini, Roopak Sinha
2020	—	`conf`	Exploration of Machine Learning to Identify Community Dwelling Older Adults with Balance Dysfunction Using Short Duration Accelerometer Data. EMBC Yang Hu, Alka Bishnoi, Rachneet Kaur, Richard B. Sowers, Manuel E. Hernandez
2019	—	`conf`	Exploring Characteristic Features in Gait Patterns for Predicting Multiple Sclerosis. EMBC Rachneet Kaur, Sanjana Menon, Xiaomiao Zhang, Richard B. Sowers, Manuel E. Hernandez
2019	—	`conf`	Using Virtual Reality to Examine the Correlation between Balance Function and Anxiety in Stance. BIBM Rongyi Sun, Rachneet Kaur, Liran Ziegelman, Shuo Yang, Richard B. Sowers, Manuel E. Hernandez
2019	—	`conf`	Using Virtual Reality to Examine the Neural and Physiological Anxiety-Related Responses to Balance-Demanding Target-Reaching Leaning Tasks. Humanoids Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers, Manuel E. Hernandez
2019	—	`conf`	Using Virtual Reality to Examine the Neural and Physiological Responses to Height and Perturbations in Quiet Standing. EMBC Rachneet Kaur, Rongyi Sun, Liran Ziegelman, Richard B. Sowers, Manuel E. Hernandez
2018	J	`jnl`	Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data. CoRR Vipul Satone, Rachneet Kaur, Faraz Faghri, Mike A. Nalls, Andrew B. Singleton, Roy H. Campbell
2018	—	`conf`	Virtual Reality, Visual Cliffs, and Movement Disorders. EMBC Rachneet Kaur, Xun Lin, Alexander Layton, Manuel E. Hernandez, Richard B. Sowers