2 citations · 4 across the 7 of their papers we have counts for
7 papers
Investigating Deep Learning Models for Ejection Fraction Estimation from Echocardiography Videos
Shravan Saranyan, Pramit Saha
Left ventricular ejection fraction (LVEF) is a key indicator of cardiac function and plays a central role in the diagnosis and management of cardiovascular disease. Echocardiograph…
Identity-Free Deferral For Unseen Experts
Joshua Strong, Pramit Saha, Yasin Ibrahim +2
Learning to Defer (L2D) improves AI reliability in decision-critical environments by training AI to either make its own prediction or defer the decision to a human expert. A key ch…
The Promise of Analog Deep Learning: Recent Advances, Challenges and Opportunities
Aditya Datar, Pramit Saha
Much of the present-day Artificial Intelligence (AI) utilizes artificial neural networks, which are sophisticated computational models designed to recognize patterns and solve comp…
Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3D-SlowFast Network
Manvik Pasula, Pramit Saha
This paper introduces a simple yet effective strategy for exercise classification and muscle group activation prediction (MGAP). These tasks have significant implications for perso…
Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People
Chenhao He, Pramit Saha
The utilization of deep learning-based object detection is an effective approach to assist visually impaired individuals in avoiding obstacles. In this paper, we implemented seven…
Forecasting Lithium-Ion Battery Longevity with Limited Data Availability: Benchmarking Different Machine Learning Algorithms
Hudson Hilal, Pramit Saha
As the use of Lithium-ion batteries continues to grow, it becomes increasingly important to be able to predict their remaining useful life. This work aims to compare the relative p…
How Hard Is Squash? -- Towards Information Theoretic Analysis of Motor Behavior in Squash
Kavya Anand, Pramit Saha
Fitts' law has been widely employed as a research method for analyzing tasks within the domain of Human-Computer Interaction (HCI). However, its application to non-computer tasks h…