Publications

Bayesian Active Learning for Wearable Stress and Affect Detection
Abhijith Ragav*, Gautham Krishna Gudur*
Poster presentation at NeurIPS workshop on Machine Learning for Mobile Health (ML4MH) 2020

Bayesian Active Learning for Wearable and Mobile Health
Gautham Krishna Gudur, Abhijith Ragav, Prahalathan Sundaramoorthy, Venkatesh Umaashankar
Poster at NeurIPS Europe meetup on Bayesian Deep Learning 2020

WaDeNet: Wavelet Decomposition based CNN for Speech Processing
Prithvi Suresh*, Abhijith Ragav*
46th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021 (Under Review)

Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices
Abhijith Ragav, Nanda H Krishna, Naveen Narayanan, Kevin Thelly, Vineeth Vijayaraghavan
18th IEEE International Conference on Machine Learning and Applications (ICMLA)
Code   Slides

A Two-Stage Machine Learning Approach to Forecast the Lifetime of Movies in a Multiplex
Abhijith Ragav, Sai Vishwanath Venkatesh, Ramanathan Murugappan, Vineeth Vijayaraghavan
Future of Information and Communication Conference 2020 (FICC)
Code