Generating Gender Augmented Data for NLP. - Nishtha Jain; Maja Popovic; Declan Groves; Eva Vanmassenhove (CoRR, 2021)

A Data-Driven Analysis of Formula 1 Car Races Outcome. - Ankur Patil; Nishtha Jain; Rahul Agrahari; Murhaf Hossari; Fabrizio Orlandi; Soumyabrata Dev (AICS, 2022)

Leveraging Pre-trained Language Models for Gender Debiasing. - Nishtha Jain; Declan Groves; Lucia Specia; Maja Popovic (LREC, 2022)

A predictive analytics approach for stroke prediction using machine learning and neural networks. - Soumyabrata Dev; Hewei Wang 001; Chidozie Shamrock Nwosu; Nishtha Jain; Bharadwaj Veeravalli; Deepu John (CoRR, 2022)

Using MT for multilingual covid-19 case load prediction from social media texts. - Maja Popovic; Vasudevan Nedumpozhimana; Meegan Gower; Sneha Rautmare; Nishtha Jain; John D. Kelleher (EAMT, 2023)

Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References. - Vasudevan Nedumpozhimana; Sneha Rautmare; Meegan Gower; Nishtha Jain; Maja Popovic; Patricia Buffini; John D. Kelleher (RANLP, 2023)

Image Matting Using Objective Decomposition and Cascading Residual Network. - Radhika Saini; Nishtha Jain; Manoj Diwakar; Amit Kumar Mishra; Prabhishek Singh; Neeraj Kumar Pandey (IC3I, 2024)