Abdullah Al Imran

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 16

Top Topics

Class Separability

Supervised Learning Algorithms

Feature Selection

Top Venues

Int. J. Bus. Intell. Data Min.

Publications

Abdullah Al Imran, Md Sakib Hossain Shovon, Muhammad F. Mridha
BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis. CoRR (2023)
Dolly Agarwal, Abdullah Al Imran, Kasun S. Perera
FOODIE: A Data-centric Sifting Framework for Social Media Analytics. SEKE (2023)
Zaman Wahid, Abdullah Al Imran
Multi-feature Transformer for Multiclass Cyberbullying Detection in Bangla. AIAI (1) (2023)
Md. Rifatul Islam Rifat, Md Nur Amin, Mahmud Hasan Munna, Abdullah Al Imran
An End-to-end Machine Learning System for Mitigating Checkout Abandonment in E-Commerce. FedCSIS (2022)
Abdullah Al Imran, Zaman Wahid, Alpana Akhi Prova, Md. Hannan
Harnessing the meteorological effect for predicting the retail price of rice in Bangladesh. Int. J. Bus. Intell. Data Min. 20 (4) (2022)
Zaman Wahid, Abdullah Al Imran, Md. Rifatul Islam Rifat
BNnetXtreme: An Enhanced Methodology for Bangla Fake News Detection Online. CSoNet (2022)
Abdullah Al Imran, Md Nur Amin
Deep Bangla Authorship Attribution Using Transformer Models. CSoNet (2021)
Md. Rifatul Islam Rifat, Abdullah Al Imran
Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer. CSoNet (2021)
Abdullah Al Imran, Md Shamsur Rahim, Tanvir Ahmed
Mining the productivity data of the garment industry. Int. J. Bus. Intell. Data Min. 19 (3) (2021)
Abdul Bari Parves, Abdullah Al Imran, Md. Riazur Rahman
Incorporating Supervised Learning Algorithms with NLP Techniques to Classify Bengali Language Forms. ICCA (2020)
Abdullah Al Imran, Md Nur Amin
Loan Charge-Off Prediction Including Model Explanation for Supporting Business Decisions. ISDA (2020)
Abdullah Al Imran, Zaman Wahid, Tanvir Ahmed
BNnet: A Deep Neural Network for the Identification of Satire and Fake Bangla News. CSoNet (2020)
Abdullah Al Imran, Md Nur Amin
Predicting the Return of Orders in the E-Tail Industry Accompanying with Model Interpretation. KES (2020)
Zaman Wahid, A. K. M. Zaidi Satter, Abdullah Al Imran, Touhid Bhuiyan
Predicting Absenteeism at Work Using Tree-Based Learners. ICMLSC (2019)
Abdullah Al Imran, Md Nur Amin, Md. Rifatul Islam Rifat, Shamprikta Mehreen
Deep Neural Network Approach for Predicting the Productivity of Garment Employees. CoDIT (2019)
Abdullah Al Imran, Md. Rifatul Islam Rifat, Rafeed Mohammad
Enhancing the Classification Performance of Lower Back Pain Symptoms Using Genetic Algorithm-Based Feature Selection. IJCCI (2018)