A Machine Learning Approach for Sentiment Analysis to Nurture Mental Health Amidst COVID-19. - Namratha S. Khasnis; Snigdha Sen; Shubhangi S. Khasnis (DSMLAI, 2021)

Implementation of Neural Network Regression Model for Faster Redshift Analysis on Cloud-Based Spark Platform. - Snigdha Sen; Snehanshu Saha; Pavan Chakraborty; Krishna Pratap Singh (IEA/AIE (2), 2021)

A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. - Snigdha Sen; Snehanshu Saha; Pavan Chakraborty; Krishna Pratap Singh (ICONIP (5), 2022)

ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation. - Snigdha Sen; Saurabh Singh; Hayley Pye; Caroline M. Moore; Hayley C. Whitaker; Shonit Punwani; David Atkinson; Eleftheria Panagiotaki; Paddy J. Slator (CoRR, 2023)

Performance evaluation of efficient interpretable CNN-transformer model for redshift prediction. - Snigdha Sen; Ambuj Kumar Pandit; Pavan Chakraborty; Krishna Pratap Singh (Signal Image Video Process., 2025)