Pranab Das

12 papers Misc 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Comprehensive Survey of Studies on Predicting Anatomical Therapeutic Chemical Classes of Drugs.
ACM Comput. Surv.
Pranab Das, Dilwar Hussain Mazumder
2025 J jnl
MLCNN-LSTM-COV: A Multilabel Convolutional Neural Network and Long Short-Term Memory-Based Framework for Predicting Adverse COVID Drug Reactions.
IEEE Trans. Artif. Intell.
Pranab Das, Dilwar Hussain Mazumder
2025 J jnl
MLCNNF: A Multi-Label Convolutional Neural Network Framework for Predicting Adverse COVID Drug Reactions From the Chemical Structure.
IEEE Trans. Comput. Biol. Bioinform.
Pranab Das, Dilwar Hussain Mazumder
2024 J jnl
Advances in Predicting Drug Functions: A Decade-Long Survey in Drug Discovery Research.
IEEE Trans. Mol. Biol. Multi Scale Commun.
Pranab Das, Dilwar Hussain Mazumder
2024 J jnl
K1K2NN: A novel multi-label classification approach based on neighbors for predicting COVID-19 drug side effects.
Comput. Biol. Chem.
Pranab Das, Dilwar Hussain Mazumder
2023 J jnl
An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects.
Artif. Intell. Rev.
Pranab Das, Dilwar Hussain Mazumder
2023 J jnl
BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs.
IEEE ACM Trans. Comput. Biol. Bioinform.
Pranab Das, Yogita Thakran, S. R. Ngamwal Anal, Vipin Pal, Anju Yadav
2022 J jnl
Integrative analysis of chemical properties and functions of drugs for adverse drug reaction prediction based on multi-label deep neural network.
J. Integr. Bioinform.
Pranab Das, Yogita, Vipin Pal
2021 J jnl
Mapping hydrocarbon microseepage prospect areas by integrated studies of ASTER processing, geochemistry and geophysical surveys in Assam-Arakan Fold Belt, NE India.
Int. J. Appl. Earth Obs. Geoinformation
Santosh Garain, Debashis Mitra, Pranab Das
2021 Misc conf
Predicting Adverse Drug Reactions from Drug Functions by Binary Relevance Multi-label Classification and MLSMOTE.
PACBB
Pranab Das, Jerry W. Sangma, Vipin Pal, Yogita
2021 — conf
Predicting Anatomical Therapeutic Chemical Drug Classes from 17 molecules' Properties of Drugs by Multi-Label Binary Relevance Approach with MLSMOTE.
ICCBB
Pranab Das, Dilwar Hussain Mazumder
2004 J jnl
Seafloor classification using echo-waveforms: a method employing hybrid neural network architecture.
IEEE Geosci. Remote. Sens. Lett.
Bishwajit Chakraborty, Vasudev Mahale, Carlyle de Sousa, Pranab Das