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Abdullah Al Imran
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2020 – today
- 2024
- [i2]Abdullah Al Imran, Md Farhan Ishmam:
Leveraging FourierKAN Classification Head for Pre-Trained Transformer-based Text Classification. CoRR abs/2408.08803 (2024) - 2023
- [j3]Shamima Akter, Manik Ahmed, Abdullah Al Imran, Ahsan Habib, Rakib Ul Haque, Md. Sohanur Rahman, Md. Rakibul Hasan, Samira Mahjabeen:
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. Expert Syst. Appl. 223: 119851 (2023) - [c13]Zaman Wahid, Abdullah Al Imran:
Multi-feature Transformer for Multiclass Cyberbullying Detection in Bangla. AIAI (1) 2023: 439-451 - [c12]Dolly Agarwal, Abdullah Al Imran, Kasun S. Perera:
FOODIE: A Data-centric Sifting Framework for Social Media Analytics. SEKE 2023: 421-426 - [i1]Abdullah Al Imran, Md Sakib Hossain Shovon, Muhammad Firoz Mridha:
BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis. CoRR abs/2310.11465 (2023) - 2022
- [j2]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): 440-455 (2022) - [c11]Zaman Wahid, Abdullah Al Imran, Md. Rifatul Islam Rifat:
BNnetXtreme: An Enhanced Methodology for Bangla Fake News Detection Online. CSoNet 2022: 157-166 - [c10]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: 129-132 - 2021
- [j1]Abdullah Al Imran, Md Shamsur Rahim, Tanvir Ahmed:
Mining the productivity data of the garment industry. Int. J. Bus. Intell. Data Min. 19(3): 319-342 (2021) - [c9]Md. Rifatul Islam Rifat, Abdullah Al Imran:
Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer. CSoNet 2021: 106-117 - [c8]Abdullah Al Imran, Md Nur Amin:
Deep Bangla Authorship Attribution Using Transformer Models. CSoNet 2021: 118-128 - 2020
- [c7]Abdullah Al Imran, Zaman Wahid, Tanvir Ahmed:
BNnet: A Deep Neural Network for the Identification of Satire and Fake Bangla News. CSoNet 2020: 464-475 - [c6]Abdul Bari Parves, Abdullah Al Imran, Md. Riazur Rahman:
Incorporating Supervised Learning Algorithms with NLP Techniques to Classify Bengali Language Forms. ICCA 2020: 62:1-62:7 - [c5]Abdullah Al Imran, Md Nur Amin:
Loan Charge-Off Prediction Including Model Explanation for Supporting Business Decisions. ISDA 2020: 1281-1291 - [c4]Abdullah Al Imran, Md Nur Amin:
Predicting the Return of Orders in the E-Tail Industry Accompanying with Model Interpretation. KES 2020: 1170-1179
2010 – 2019
- 2019
- [c3]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: 1402-1407 - [c2]Zaman Wahid, A. K. M. Zaidi Satter, Abdullah Al Imran, Touhid Bhuiyan:
Predicting Absenteeism at Work Using Tree-Based Learners. ICMLSC 2019: 7-11 - 2018
- [c1]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: 455-469
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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