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20182026
most citedBiometric-Based Wearable User Authentication During Sedentary and Non-sedentary Periods

25 citations · 43 across the 21 of their papers we have counts for

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Showing cs.LGShow all

7 papers · 1 filter

cs.LG2025

Cough Classification using Few-Shot Learning

Yoga Disha Sendhil Kumar, Manas V Shetty, Sudip Vhaduri

This paper investigates the effectiveness of few-shot learning for respiratory sound classification, focusing on coughbased detection of COVID-19, Flu, and healthy conditions. We l…

cs.LG2025

A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains

Andrea Gajic, Sudip Vhaduri

In a world where new domains are constantly discovered and machine learning (ML) is applied to automate new tasks every day, challenges arise with the number of samples available t…

cs.LG2024★ 1 cited

Mitigating Sex Bias in Audio Data-driven COPD and COVID-19 Breathing Pattern Detection Models

Rachel Pfeifer, Sudip Vhaduri, James Eric Dietz

In the healthcare industry, researchers have been developing machine learning models to automate diagnosing patients with respiratory illnesses based on their breathing patterns. H…

cs.LG2024

Toward Mitigating Sex Bias in Pilot Trainees' Stress and Fatigue Modeling

Rachel Pfeifer, Sudip Vhaduri, Mark Wilson +1

While researchers have been trying to understand the stress and fatigue among pilots, especially pilot trainees, and to develop stress/fatigue models to automate the process of det…

cs.LG2023

Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains

Jinjin Cai, Sudip Vhaduri, Xiao Luo

Rapid discovery of new diseases, such as COVID-19 can enable a timely epidemic response, preventing the large-scale spread and protecting public health. However, limited research e…

cs.LG2022

Predicting dominant hand from spatiotemporal context varying physiological data

Jorge Neira-Garcia, Sudip Vhaduri

Health metrics from wrist-worn devices demand an automatic dominant hand prediction to keep an accurate operation. The prediction would improve reliability, enhance the consumer ex…

cs.LG2022★ 1 cited

Automatic Anomalies Detection in Hydraulic Devices

Jose A. Solorio, Jose M. Garcia, Sudip Vhaduri

Nowadays, the applications of hydraulic systems are present in a wide variety of devices in both industrial and everyday environments. The implementation and usage of hydraulic sys…