Pranab Das

According to our database, Pranab Das authored at least 10 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs.

Pranab Das, Dilwar Hussain Mazumder

ACM Comput. Surv., March, 2025

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

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

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., September, 2023

BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs.

Pranab Das, Yogita Thakran, S. R. Ngamwal Anal, Vipin Pal, Anju Yadav

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network.

Pranab Das, Yogita, Vipin Pal

J. Integr. Bioinform., 2022

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

Predicting Adverse Drug Reactions from Drug Functions by Binary Relevance Multi-label Classification and MLSMOTE.

Pranab Das, Jerry W. Sangma, Vipin Pal, Yogita

Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2021

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

Proceedings of the ICCBB 2021: 5th International Conference on Computational Biology and Bioinformatics, Bali Island, Indonesia, December 26, 2021

2004

Seafloor classification using echo-waveforms: a method employing hybrid neural network architecture.

Bishwajit Chakraborty, Vasudev Mahale, Carlyle de Sousa, Pranab Das

IEEE Geosci. Remote. Sens. Lett., 2004