DeepGLSTM: Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity. - Shrimon Mukherjee; Madhusudan Ghosh; Partha Basuchowdhuri (SDM, 2022)

Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity. - Shrimon Mukherjee; Madhusudan Ghosh; Partha Basuchowdhuri (CoRR, 2022)

Unleashing the Power of Large Language Models: A Hands-On Tutorial. - Payel Santra; Madhusudan Ghosh; Shrimon Mukherjee; Debasis Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar (FIRE, 2023)

MLlab4CS at SemEval-2023 Task 2: Named Entity Recognition in Low-resource Language Bangla Using Multilingual Language Models. - Shrimon Mukherjee; Madhusudan Ghosh; Girish; Partha Basuchowdhuri (SemEval@ACL, 2023)

BLINKtextsubscriptLSTM: BioLinkBERT and LSTM based approach for extraction of PICO frame from Clinical Trial Text. - Madhusudan Ghosh; Shrimon Mukherjee; Payel Santra; Girish Na; Partha Basuchowdhuri (COMAD/CODS, 2024)

CrysAtom: Distributed Representation of Atoms for Crystal Property Prediction. - Shrimon Mukherjee; Madhusudan Ghosh; Partha Basuchowdhuri (LoG, 2024)

G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexes. - Shrimon Mukherjee; Pulakesh Pramanik; Partha Basuchowdhuri; Santanu Bhattacharya (CoRR, 2024)

AlpaPICO: Extraction of PICO Frames from Clinical Trial Documents Using LLMs. - Madhusudan Ghosh; Shrimon Mukherjee; Asmit Ganguly; Partha Basuchowdhuri; Sudip Kumar Naskar; Debasis Ganguly (CoRR, 2024)