Predicting Reaction Products and Automating Reactive Trajectory Characterization in Molecular Simulations with Support Vector Machines. - Gianmarc Grazioli; Saswata Roy; Carter T. Butts (J. Chem. Inf. Model., 2019)

Forecasting the Future: Leveraging RNN based Feature Concatenation for Tweet Outbreak Prediction. - Saswata Roy; Brijendra Kumar Suman; Joydeep Chandra; Sourav Kumar Dandapat (COMAD/CODS, 2020)

Development of theoretical and computational tools to study photochemistry involving multiple electronic excited states - Saswata Roy (2020)

Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction. - Manish Bhanu; Rahul Kumar; Saswata Roy; João Mendes-Moreira 001; Joydeep Chandra (PAKDD (1), 2022)

Towards an orthogonality constraint-based feature partitioning approach to classify veracity and identify stance overlapping of rumors on twitter. - Saswata Roy; Manish Bhanu; Sourav Kumar Dandapat; Joydeep Chandra (Expert Syst. Appl., 2022)

gDART: Improving rumor verification in social media with Discrete Attention Representations. - Saswata Roy; Manish Bhanu; Shruti Saxena; Sourav Kumar Dandapat; Joydeep Chandra (Inf. Process. Manag., 2022)

An encoder framework for taxi-demand prediction using spatio-temporal function approximation. - Manish Bhanu; Saswata Roy; Shalini Priya; João Mendes-Moreira 001; Joydeep Chandra (Eng. Appl. Artif. Intell., 2023)

BTS-Z: A Bootstrap Zero-Shot Learning Approach for City Traffic Forecasting. - Rahul Kumar; Manish Bhanu; Saswata Roy; João Mendes-Moreira 001; Joydeep Chandra (ANTS, 2024)

Beyond just saying it's false: explainable AI for multimodal misinformation detection. - Saswata Roy; Manish Bhanu; Shalini Priya; Joydeep Chandra; Sourav Kumar Dandapat (Appl. Intell., 2025)