Binary Biogeography-Based Optimization Applied to Gene Selection for Cancer Classification Using Artificial Neural Network. - Dilwar Hussain Mazumder; Ramachandran Veilumuthu (UKSim, 2018)

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)

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)

A novel parallel feature rank aggregation algorithm for gene selection applied to microarray data classification. - Imtisenla Longkumer; Dilwar Hussain Mazumder (Comput. Biol. Chem., 2024)

Improving cancer prediction using feature selection in spark environment. - Imtisenla Longkumer; Dilwar Hussain Mazumder (Concurr. Comput. Pract. Exp., 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 Review on Application of Machine Learning Techniques Coupled With E-Nose in Healthcare, Agriculture, and Allied Domains. - Samujjal Baruah; Dilwar Hussain Mazumder (IEEE Trans. Instrum. Meas., 2025)

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