Author

Md. Hamid Hosen

Observed names: Hosen, Md. Hamid, Md.Hamid Hosen

Observed institution: East Delta University

ORCID: 0009-0009-6462-6647

Observed ORCID: 0009-0009-6462-6647

OpenAlex ID: A5095828839

Beyond the Black Box: Employing LIME and SHAP for Transparent Health Predictions with Machine Learning Models

2024 · Kahakashan Ashraf, Sadia Nawar, et al. · International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) · 16

Enhancing Pneumonia Detection: CNN Interpretability with LIME and SHAP

2024 · Md. Hamid Hosen, Arnob Saha, et al. · International Conference on Electrical Engineering and Information Communication Technology · 9

MobileViT and YOLOv8: Improving Bone Fracture Detection and Classification Through Deep Learning

2024 · Altaf Uddin, Rituparna Chowdhury, et al. · IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) · 7

Analyzing Abusive Bangla Comments on Social Media: NLP & Explainable AI

2024 · Kahakashan Ashraf, Md. Hamid Hosen, et al. · International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) · 7

Unveiling Predictive Factors in Apple Quality: Leveraging LIME, SHAP, and the Synergy of Machine Learning Models and Artificial Neural Networks

2024 · Rituparna Chowdhury, Rudra Das, et al. · International Conference on Electrical Engineering and Information Communication Technology · 5

Predictive Modeling of Anxiety Levels in Bangladeshi University Students: A Voting-Based Approach with LIME and SHAP Explanations

2024 · Mohammad Tanvirul Islam, Kahakashan Ashraf, et al. · International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS) · 4

Automated Paddy Disease Detection: A Deep Learning Approach

2024 · Md. Mostafijur Rahman, Md. Hamid Hosen, et al. · International Conference on Computing Advancements (ICCA) · 3

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From Social Media to Mental Health Insights: A Hybrid CNN-LSTM Model for Depression Detection in Bangladesh

2024 · Tuntusree Banik, Safa Asgar, et al. · IEEE International Conference on Computing, Applications and Systems (COMPAS) · 3

PotholeNet11:A YOLO11-Powered Real-Time Framework for Comprehensive Pothole Detection and Road Safety

2025 · Altaf Uddin, Fowzia Binta Faruk Ananna, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) · 2

Advance Step to Protect Agriculture: A Deep Dive into Enhancing Food Security Through EfficientNet-B0 and XAI in Plant Disease Classification

2024 · Sadia Nawar, Altaf Uddin, et al. · International Conference on Computing Advancements (ICCA) · 2

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Advancing Medical Imaging: High-Performance Brain Tumor Detection and Classification Using Deep Learning and Grad CAM Visualization

2024 · Mikdad Mohammad Asif, Sadia Nawar, et al. · IEEE International Conference on Computing, Applications and Systems (COMPAS) · 2

Predicting Stress in Bangladeshi University Students: A LIME-Interpretable Machine Learning Approach

2025 · Md. Hamid Hosen, Mohammad Tanvirul Islam, et al. · Chapman & Hall/CRC eBooks · 1

Hybrid Models for Speech Emotion Detection: A Fusion of Traditional and Deep Learning Techniques

2024 · Rituparna Chowdhury, Md.Hamid Hosen, et al. · International Conference on Computer and Information Technology (ICCIT) · 1

Towards Interpretable Diabetes Prediction: A Comparative Study of Machine Learning Models with Explainable AI using LIME and SHAP

2024 · Arnob Saha, Md Fahim Foysal, et al. · International Conference on Computer and Information Technology (ICCIT) · 1

Enhancing Glaucoma Diagnosis with Explainable AI Using Vision Transformers and Advanced Deep Learning Techniques

2024 · Naima Tasnia, Md.Hamid Hosen, et al. · IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) · 1

Evidence database and analysis code for "A Review of Large Language Model Assistance in Linux Kernel Maintenance"

2026 · Efaz, Mohammed, Mahmud, Sha Newaz, et al. · Zenodo (CERN European Organization for Nuclear Research)

Evaluating the effectiveness of open-weight LLMs for multi-domain Bengali text classification with zero-shot and few-shot prompting

2026 · Md. Hamid Hosen, Sadia Nawar, et al. · PLoS ONE

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A mini-review of medical question answering for Bangla: the methodological landscape and cross-lingual perspectives

2026 · Jannatul Somiya Mahmud, Khadija Akter Ratri, et al. · Frontiers in Digital Health

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ChipStain: Uncertainty-Aware Label-Free Nuclear Staining towards Organ-on-a-Chip

2026 · Md. Hamid Hosen, Esfer Sami, et al. · Kaggle

16 bands beat any 3-band composite: a single-checkpoint YOLO solution

2026 · Md. Hamid Hosen · Kaggle