A texture based approach for automatic identification of benign and malignant tumor from FNAC images. - Paramita Das; Trijit Chatterjee; Sukanta Chakraborty; Debasree Mondal; Nibaran Das (ReTIS, 2015)

Generating a representative keyword subset pertaining to an academic conference series. - Agniv Adhikari; Paramita Das; Abhik Mukherjee (Scientometrics, 2019)

When Expertise Gone Missing: Uncovering the Loss of Prolific Contributors in Wikipedia. - Paramita Das; Bhanu Prakash Reddy Guda; Debajit Chakraborty; Soumya Sarkar; Animesh Mukherjee 001 (ICADL, 2021)

Quality Change: Norm or Exception? Measurement, Analysis and Detection of Quality Change in Wikipedia. - Paramita Das; Bhanu Prakash Reddy Guda; Sasi Bhushan Seelaboyina; Soumya Sarkar; Animesh Mukherjee 001 (Proc. ACM Hum. Comput. Interact., 2022)

Mining the online infosphere: A survey. - Sayantan Adak; Souvic Chakraborty; Paramita Das; Mithun Das; Abhisek Dash; Rima Hazra; Binny Mathew; Punyajoy Saha; Soumya Sarkar; Animesh Mukherjee 001 (WIREs Data Mining Knowl. Discov., 2022)

Diversity matters: Robustness of bias measurements in Wikidata. - Paramita Das; Sai Keerthana Karnam; Anirban Panda; Bhanu Prakash Reddy Guda; Soumya Sarkar; Animesh Mukherjee 001 (WebSci, 2023)

Language-Agnostic Modeling of Wikipedia Articles for Content Quality Assessment across Languages. - Paramita Das; Isaac Johnson 001; Diego Sáez-Trumper; Pablo Aragón (ICWSM, 2024)

REVerSum: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives. - Sayantan Adak; Pauras Mangesh Meher; Paramita Das; Animesh Mukherjee 001 (COLING (Industry), 2025)

On the effective transfer of knowledge from English to Hindi Wikipedia. - Paramita Das; Amartya Roy; Ritabrata Chakraborty; Animesh Mukherjee 001 (COLING (Industry), 2025)

Social Biases in Knowledge Representations of Wikidata separates Global North from Global South. - Paramita Das; Sai Keerthana Karnam; Aditya Bharat Soni; Animesh Mukherjee 001 (WebSci, 2025)