Seafloor classification using echo-waveforms: a method employing hybrid neural network architecture. - Bishwajit Chakraborty 001; Vasudev Mahale; Carlyle de Sousa; Pranab Das (IEEE Geosci. Remote. Sens. Lett., 2004)

Predicting Anatomical Therapeutic Chemical Drug Classes from 17 molecules' Properties of Drugs by Multi-Label Binary Relevance Approach with MLSMOTE. - Pranab Das; Dilwar Hussain Mazumder (ICCBB, 2021)

Predicting Adverse Drug Reactions from Drug Functions by Binary Relevance Multi-label Classification and MLSMOTE. - Pranab Das; Jerry W. Sangma; Vipin Pal; Yogita 001 (PACBB, 2021)

Mapping hydrocarbon microseepage prospect areas by integrated studies of ASTER processing, geochemistry and geophysical surveys in Assam-Arakan Fold Belt, NE India. - Santosh Garain; Debashis Mitra; Pranab Das (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network. - Pranab Das; Yogita 001; Vipin Pal (J. Integr. Bioinform., 2022)

BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs. - Pranab Das; Yogita Thakran 001; S. R. Ngamwal Anal; Vipin Pal; Anju Yadav (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects. - Pranab Das; Dilwar Hussain Mazumder (Artif. Intell. Rev., 2023)

K1K2NN: A novel multi-label classification approach based on neighbors for predicting COVID-19 drug side effects. - Pranab Das; Dilwar Hussain Mazumder (Comput. Biol. Chem., 2024)

Advances in Predicting Drug Functions: A Decade-Long Survey in Drug Discovery Research. - Pranab Das; Dilwar Hussain Mazumder (IEEE Trans. Mol. Biol. Multi Scale Commun., 2024)

A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs. - Pranab Das; Dilwar Hussain Mazumder (ACM Comput. Surv., 2025)