Enhancing the Classification Performance of Lower Back Pain Symptoms Using Genetic Algorithm-Based Feature Selection. - Abdullah Al Imran; Md. Rifatul Islam Rifat; Rafeed Mohammad (IJCCI, 2018)

Deep Neural Network Approach for Predicting the Productivity of Garment Employees. - Abdullah Al Imran; Md Nur Amin; Md. Rifatul Islam Rifat; Shamprikta Mehreen (CoDIT, 2019)

Predicting Absenteeism at Work Using Tree-Based Learners. - Zaman Wahid; A. K. M. Zaidi Satter; Abdullah Al Imran; Touhid Bhuiyan (ICMLSC, 2019)

BNnet: A Deep Neural Network for the Identification of Satire and Fake Bangla News. - Abdullah Al Imran; Zaman Wahid; Tanvir Ahmed 001 (CSoNet, 2020)

Incorporating Supervised Learning Algorithms with NLP Techniques to Classify Bengali Language Forms. - Abdul Bari Parves; Abdullah Al Imran; Md. Riazur Rahman (ICCA, 2020)

Loan Charge-Off Prediction Including Model Explanation for Supporting Business Decisions. - Abdullah Al Imran; Md Nur Amin (ISDA, 2020)

Predicting the Return of Orders in the E-Tail Industry Accompanying with Model Interpretation. - Abdullah Al Imran; Md Nur Amin (KES, 2020)

Deep Bangla Authorship Attribution Using Transformer Models. - Abdullah Al Imran; Md Nur Amin (CSoNet, 2021)

Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer. - Md. Rifatul Islam Rifat; Abdullah Al Imran (CSoNet, 2021)

Mining the productivity data of the garment industry. - Abdullah Al Imran; Md Shamsur Rahim; Tanvir Ahmed 001 (Int. J. Bus. Intell. Data Min., 2021)

BNnetXtreme: An Enhanced Methodology for Bangla Fake News Detection Online. - Zaman Wahid; Abdullah Al Imran; Md. Rifatul Islam Rifat (CSoNet, 2022)

An End-to-end Machine Learning System for Mitigating Checkout Abandonment in E-Commerce. - Md. Rifatul Islam Rifat; Md Nur Amin; Mahmud Hasan Munna; Abdullah Al Imran (FedCSIS, 2022)

Harnessing the meteorological effect for predicting the retail price of rice in Bangladesh. - Abdullah Al Imran; Zaman Wahid; Alpana Akhi Prova; Md. Hannan (Int. J. Bus. Intell. Data Min., 2022)

Multi-feature Transformer for Multiclass Cyberbullying Detection in Bangla. - Zaman Wahid; Abdullah Al Imran (AIAI (1), 2023)

FOODIE: A Data-centric Sifting Framework for Social Media Analytics. - Dolly Agarwal; Abdullah Al Imran; Kasun S. Perera (SEKE, 2023)

BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis. - Abdullah Al Imran; Md Sakib Hossain Shovon; Muhammad Firoz Mridha (CoRR, 2023)

CKD.Net: A novel deep learning hybrid model for effective, real-time, automated screening tool towards prediction of multi stages of CKD along with eGFR and creatinine. - Shamima Akter; Manik Ahmed; Abdullah Al Imran; Ahsan Habib 005; Rakib Ul Haque; Md. Sohanur Rahman; Md. Rakibul Hasan; Samira Mahjabeen (Expert Syst. Appl., 2023)

Leveraging FourierKAN Classification Head for Pre-Trained Transformer-based Text Classification. - Abdullah Al Imran; Md Farhan Ishmam (CoRR, 2024)