Get started
Author

Safiul Haque Chowdhury

Observed names: Haque Chowdhury, Safiul, Safiul Haque Chowduhury
ORCID: 0009-0003-7098-2476
Observed ORCID: 0009-0003-7098-2476
OpenAlex ID: A5111237164
Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model
2025 · Mohammad Mamun, Safiul Haque Chowdhury, et al. · Informatics and Health · 46
An Ensemble Approach for Artificial Neural Network-Based Liver Disease Identification from Optimal Features through Hybrid Modeling Integrated with Advanced Explainable AI
2025 · Safiul Haque Chowdhury, Mohammad Mamun, et al. · Medinformatics · 30
PDF
A Secure Bank Loan Prediction System by Bridging Differential Privacy and Explainable Machine Learning
2025 · Muhammad Minoar Hossain, Mohammad Mamun, et al. · Electronics · 22
PDF
A Transparent House Price Prediction Framework Using Ensemble Learning, Genetic Algorithm-Based Tuning, and ANOVA-Based Feature Analysis
2025 · Mohammed Ibrahim Hussain, Arslan Munir, et al. · FinTech · 15
NeuroBlend-3: Hybrid Deep and Machine Learning Framework with Explainable AI for Multi-class Brain Tumor Detection Using MRI Scans
2025 · Mohammed Ibrahim Hussain, Safiul Haque Chowdhury, et al. · Medinformatics · 13
PDF
Hepatitis C Detection from Blood Donor Data Using Hybrid Deep Feature Synthesis and Interpretable Machine Learning
2025 · Safiul Haque Chowdhury, Mohammed Ibrahim Hussain, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) · 12
Newborn Weight Prediction And Interpretation Utilizing Explainable Machine Learning
2024 · Safiul Haque Chowdhury, Mohammad Mamun, et al. · International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE) · 9
An Explainable Ensemble Learning Framework with Feature Optimization for Accurate Maternal Health Risk Prediction
2025 · Mohammad Mamun, Mohammed Ibrahim Hussain, et al. · 8
Explainability Elevated Obstructive Pulmonary Disease Care: Severity Classification, Quality of Life Prediction, and Treatment Impact Assessment
2025 · Md. Tanvir Ahmed Shaikat, Safiul Haque Chowdhury, et al. · International Conference on Electrical, Computer and Communication Engineering · 7
Improving Network Classification Accuracy through Feature Clustering and Ensemble Machine Learning with Explainable AI
2025 · Safiul Haque Chowdhury, Mohammad Mamun, et al. · International Conference on Electrical, Computer and Communication Engineering · 6
Optimized Feature-Driven Dengue Diagnosis Using Explainable Machine Learning Approaches
2025 · Koshik Das, Mohammad Mamun, et al. · 5
Interpretable Heart Failure Identification Utilizing Auto Machine Learning Tools
2025 · Mohammad Mamun, Mohammed Ibrahim Hussain, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) · 5
A Differential Privacy and TOPSIS Enhanced Explainable Machine Learning Framework for Diabetes Risk Diagnosis
2025 · Mohammad Mamun, Mohammed Sowket Ali, et al. · International Conference on Electrical, Computer and Communication Engineering · 5
Early-Stage Diabetes Risk Prediction Utilizing Machine Learning with Explainable AI from Polynomial and Binning Feature Generation
2024 · Mohammad Mamun, Safiul Haque Chowdhury, et al. · 5
Identification of Maternal Health Risk From Optimal Features Using Explainable Machine Learning
2025 · Mohammad Mamun, Safiul Haque Chowdhury, et al. · Engineering Reports · 4
Brain Stroke Prediction using Explainable Machine Learning and Time Series Feature Engineering
2024 · Safiul Haque Chowdhury, Mohammad Mamun, et al. · 4
Advancing Interpretable AI for Cardiovascular Risk Assessment: A Stacking Regression Approach in Clinical Data from Bangladesh
2025 · Suhana Tasnim, Mohammad Mamun, et al. · Medinformatics · 3
PDF
Machine Learning-Based Migraine Classification Using Structured Clinical and Neurological Features
2026 · Md. Sadiq Iqbal, Mohammed Ibrahim Hussain, et al. · 2
Multi-Objective Optimized Differential Privacy with Interpretable Machine Learning for Brain Stroke and Heart Disease Diagnosis
2026 · Mohammed Ibrahim Hussain, Arslan Munir, et al. · Algorithms · 2
PDF
Enhanced Renewable Energy Consumption Forecasting Leveraging Machine Learning and Statistical Models with XAI Interpretability
2026 · Wazia Haque Onti, Safiul Haque Chowdhury, et al. · SN Computer Science · 1
SENet-Augmented Explainable Deep Feature Framework with Machine Learning for Breast Tumor Detection in Ultrasound Imaging
2025 · Mohammed Ibrahim Hussain, Safiul Haque Chowdhury, et al. · 1
Hrnet-Xgb: A Comprehensive Hybrid Framework for Automated and Interpretable Skin Cancer Detection with Multi-Scale Feature Fusion
2025 · Safiul Haque Chowduhury, Mohammad Mamun · SSRN Electronic Journal · 1
Privacy-Preserving Prediction of Chronic Kidney Disease Using Ensemble Machine Learning with Laplacian Differential Privacy and Explainable AI
2025 · Mohammad Mamun, Mohammed Ibrahim Hussain, et al. · Communications in computer and information science · 1
Physically consistent and spatially conformalized machine learning for trustworthy flood susceptibility mapping of the 2024 Feni flash flood
2026 · Rakib Ahammed Diptho, Pial Ghosh, et al. · Discover Geoscience
PDF
Cross-Dataset Evaluation of the Lightweight YOLO Family for Breast Ultrasound Lesion Segmentation: Effects of Preprocessing, Hyperparameter Optimization, and Test-Time Augmentation
2026 · Rakib Ahammed Diptho, Pial Ghosh, et al. · NDT
Works count: 44
Citation count: 206
H-index: 8
I10-index: 6
Year
Topic
Type