Machine Learning Based Unified Framework for Diabetes Prediction. - S. M. Hasan Mahmud; Md Altab Hossin; Md. Razu Ahmed; Sheak Rashed Haider Noori; Md Nazirul Islam Sarker (BDET, 2018)

Assessing the Effect of Imbalanced Learning on Cross-project Software Defect Prediction. - Md. Fahimuzzman Sohan; Md. Ismail Jabiullah; Sheikh Shah Mohammad Motiur Rahman; S. M. Hasan Mahmud (ICCCNT, 2019)

Mutual Constraint Learning for Weakly Supervised Object Detection. - Yongsheng Liu; Wenyu Chen 001; S. M. Hasan Mahmud; Hong Qu; Kebin Miao; Feng Wei; Ziliang Zhang (ISKE, 2019)

An Efficient Deep Learning Model to Infer User Demographic Information From Ratings. - Yongsheng Liu; Hong Qu; Wenyu Chen 001; S. M. Hasan Mahmud (IEEE Access, 2019)

iDTi-CSsmoteB: Identification of Drug-Target Interaction Based on Drug Chemical Structure and Protein Sequence Using XGBoost With Over-Sampling Technique SMOTE. - S. M. Hasan Mahmud; Wenyu Chen; Hosney Jahan; Yongsheng Liu; Nasir Islam Sujan; Saeed Ahmed (IEEE Access, 2019)

Version specific test case prioritization approach based on artificial neural network. - Hosney Jahan; Ziliang Feng; S. M. Hasan Mahmud; Penglin Dong (J. Intell. Fuzzy Syst., 2019)

A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility Data. - Md. Abdul Awal; Mehedi Masud; Md. Shahadat Hossain; Abdullah Al-Mamun Bulbul; S. M. Hasan Mahmud; Anupam Kumar Bairagi (IEEE Access, 2021)

PreDTIs: prediction of drug-target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. - S. M. Hasan Mahmud; Wenyu Chen; Yongsheng Liu; Md. Abdul Awal; Kawsar Ahmed; Md. Habibur Rahman; Mohammad Ali Moni (Briefings Bioinform., 2021)

Identification of biomarkers and pathways for the SARS-CoV-2 infections that make complexities in pulmonary arterial hypertension patients. - Tasnimul Alam Taz; Kawsar Ahmed; Bikash Kumar Paul; Fahad Ahmed Al-Zahrani; S. M. Hasan Mahmud; Mohammad Ali Moni (Briefings Bioinform., 2021)

Network-based identification genetic effect of SARS-CoV-2 infections to Idiopathic pulmonary fibrosis (IPF) patients. - Tasnimul Alam Taz; Kawsar Ahmed; Bikash Kumar Paul; Md. Kawsar; Nargis Aktar; S. M. Hasan Mahmud; Mohammad Ali Moni (Briefings Bioinform., 2021)

Bioinformatics and system biology approaches to identify pathophysiological impact of COVID-19 to the progression and severity of neurological diseases. - Md. Habibur Rahman; Humayan Kabir Rana; Silong Peng; Md. Golam Kibria; Md Zahidul Islam 001; S. M. Hasan Mahmud; Mohammad Ali Moni (Comput. Biol. Medicine, 2021)

ICAS: Two-factor identity-concealed authentication scheme for remote-servers. - Md. Jakir Hossain; Chunxiang Xu; Chuang Li 008; S. M. Hasan Mahmud; Xiaojun Zhang; Wanpeng Li (J. Syst. Archit., 2021)

Data stream classification with novel class detection: a review, comparison and challenges. - Salah Ud Din; Junming Shao; Jay Kumar; Cobbinah Bernard Mawuli; S. M. Hasan Mahmud; Wei Zhang; Qinli Yang (Knowl. Inf. Syst., 2021)

Spatial division networks for weakly supervised detection. - Yongsheng Liu; Wenyu Chen 001; Hong Qu; S. M. Hasan Mahmud; Kebin Miao (Neural Comput. Appl., 2021)

Weakly supervised image classification and pointwise localization with graph convolutional networks. - Yongsheng Liu; Wenyu Chen 001; Hong Qu; S. M. Hasan Mahmud; Kebin Miao (Pattern Recognit., 2021)

Spectrum Impact Analysis of Fault Proneness Statement for Improved Fault Localization. - Md. Alamgir Kabir; M. M. Manjurul Islam; S. M. Hasan Mahmud; Md. Fazla Elahe (ICCA, 2022)

Receiving & Processing of High-Speed Data in Digital Storage Oscilloscope (DSO). - Rifat Bin Mahi; Mohammed Faisal; Xuefeng Dai; S. M. Hasan Mahmud; Peng Ye 003 (ICCA, 2022)

Performance Analysis between YOLOv5s and YOLOv5m Model to Detect and Count Blood Cells: Deep Learning Approach. - Md Abdur Rahaman; Md Mamun Ali; Kawsar Ahmed; Francis M. Bui; S. M. Hasan Mahmud (ICCA, 2022)

PreCKD_ML: Machine Learning Based Development of Prediction Model for Chronic Kidney Disease and Identify Significant Risk Factors. - Md. Rajib Mia; Md. Ashikur Rahman; Md Mamun Ali; Kawsar Ahmed; Francis M. Bui; S. M. Hasan Mahmud (MIET (1), 2022)

DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins. - Md. Faruk Hosen; S. M. Hasan Mahmud; Kawsar Ahmed; Wenyu Chen; Mohammad Ali Moni; Hong-Wen Deng; Watshara Shoombuatong; Md. Mehedi Hasan 002 (Comput. Biol. Medicine, 2022)

StackFBAs: Detection of fetal brain abnormalities using CNN with stacking strategy from MRI images. - Anjir Ahmed Chowdhury; S. M. Hasan Mahmud; Khadija Kubra Shahjalal Hoque; Kawsar Ahmed; Francis M. Bui; Pietro Lio; Mohammad Ali Moni; Fahad Ahmed Al-Zahrani (J. King Saud Univ. Comput. Inf. Sci., 2023)

Social Media as a Mirror: Reflecting Mental Health Through Computational Linguistics. - Md. Iftekharul Mobin; A. F. M. Suaib Akhter; Muhammad Firoz Mridha; S. M. Hasan Mahmud; Zeyar Aung (IEEE Access, 2024)

Addressing Label Noise in Colorectal Cancer Classification Using Cross-Entropy Loss and pLOF Methods With Stacking-Ensemble Technique. - Ishrat Zahan Tani; Michael Kah Ong Goh; Md Nazmul Islam; Md. Tarek Aziz; S. M. Hasan Mahmud; Dip Nandi (Appl. Comput. Intell. Soft Comput., 2025)

A comprehensive review and evaluation of machine learning-based approaches for identifying tumor T cell antigens. - Watshara Shoombuatong; Saeed Ahmed; S. M. Hasan Mahmud; Nalini Schaduangrat (Comput. Biol. Chem., 2025)