Ahmedul Kabir - RankMe

24 papers A* 1B 3C 3Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Image Dataset of Common Skin Diseases of Bangladesh and Benchmarking Performance with Machine Learning Models. CoRR Sazzad Hossain, Saiful Islam, Muhammad Ibrahim, Md Rasel Ahmed, Md Shuayb, Ahmedul Kabir
2025	J	`jnl`	Exploring Cross-Lingual Knowledge Transfer via Transliteration-Based MLM Fine-Tuning for Critically Low-resource Chakma Language. CoRR Adity Khisa, Nusrat Jahan Lia, Tasnim Mahfuz Nafis, Zarif Masud, Tanzir Pial, Shebuti Rayana, Ahmedul Kabir
2025	J	`jnl`	Guardians of the Agentic System: Preventing Many Shots Jailbreak with Agentic System. CoRR Saikat Barua, Mostafizur Rahman, Md Jafor Sadek, Rafiul Islam, Shehnaz Khaled, Ahmedul Kabir
2025	J	`jnl`	State-of-the-Art Translation of Text-to-Gloss using mBART : A case study of Bangla. CoRR Sharif Md. Abdullah, Abhijit Paul, Shebuti Rayana, Ahmedul Kabir, Zarif Masud
2025	J	`jnl`	Stemming - The Evolution and Current State with a Focus on Bangla. CoRR Abhijit Paul, Mashiat Amin Farin, Sharif Md. Abdullah, Ahmedul Kabir, Zarif Masud, Shebuti Rayana
2025	J	`jnl`	Where Journalism Silenced Voices: Exploring Discrimination in the Representation of Indigenous Communities in Bangladesh. CoRR Abhijit Paul, Adity Khisa, Zarif Masud, Sharif Md. Abdullah, Ahmedul Kabir, Shebuti Rayana
2024	J	`jnl`	A multifaceted evaluation of representation of graphemes for practically effective Bangla OCR. Int. J. Document Anal. Recognit. Koushik Roy, Md. Sazzad Hossain, Pritom Kumar Saha, Shadman Rohan, Imranul Ashrafi, Ifty Mohammad Rezwan, Fuad Rahman, B. M. Mainul Hossain, Ahmedul Kabir, Nabeel Mohammed
2024	B	`conf`	An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction. KES Md. Asif Khan Rifat, Ahmedul Kabir, Armana Sabiha Huq
2024	J	`jnl`	An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction. CoRR Md. Asif Khan Rifat, Ahmedul Kabir, Armana Sabiha Huq
2023	B	`conf`	A Distance-Based Feature Selection Approach for Software Anomaly Detection. ENASE Suravi Akhter, Afia Sajeeda, Ahmedul Kabir
2022	—	`conf`	A Performance Analysis of Machine Learning Models for Attack Prediction using Different Feature Selection Techniques. BCD Zikra Amin, Ahmedul Kabir
2022	J	`jnl`	Defect Prediction Using Stylistic Metrics. CoRR Rafed Muhammad Yasir, Ahmedul Kabir
2022	—	`conf`	Exploring the Impact of Code Style in Identifying Good Programmers. QuASoQ/SEED@APSEC Rafed Muhammad Yasir, Ahmedul Kabir
2022	J	`jnl`	Exploring the Impact of Code Style in Identifying Good Programmers. CoRR Rafed Muhammad Yasir, Ahmedul Kabir
2020	C	`conf`	An Ensemble Approach to Detect Code Comment Inconsistencies using Topic Modeling. SEKE Fazle Rabbi, Md. Nazmul Haque, Md. Eusha Kadir, Md. Saeed Siddik, Ahmedul Kabir
2020	—	`conf`	How Well Does Undergraduate Education Prepare Software Engineers? Perspectives of Practitioners in Bangladesh. CSEE&T Ishtiaque Hussain, Ahmed Shamim Hasan, Rafed Muhammad Yasir, Ahmedul Kabir, Syed Ishtiaque Ahmed
2020	C	`conf`	Impact of Label Noise and Efficacy of Noise Filters in Software Defect Prediction. SEKE Shihab Shahriar Khan, Nishat Tasnim Niloy, Md. Aquib Azmain, Ahmedul Kabir
2019	B	`conf`	An Approach of Extracting God Class Exploiting Both Structural and Semantic Similarity. ENASE Pritom Saha Akash, Ali Zafar Sadiq, Ahmedul Kabir
2019	C	`conf`	Finding Erroneous Components from Change Coupled Relations at Fix-inducing Changes. SEKE Ali Zafar Sadiq, Ahmedul Kabir, Kazi Sakib
2019	J	`jnl`	Public service reformation: Relationship building by mobile technology. Int. J. Inf. Manag. Mahmud Akhter Shareef, Ramakrishnan Raman, Abdullah M. Baabdullah, Rafeed Mahmud, Jashim Uddin Ahmed, Humayun Kabir, Vinod Kumar, Uma Kumar, Muhammad Shakaib Akram, Ahmedul Kabir, Bhasker Mukerji
2018	A*	`conf`	Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness. ICDM Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez
2017	—	`conf`	Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees. HEALTHINF Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Majaz Moonis
2017	—	`conf`	Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke. BIOSTEC (Selected Papers) Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Majaz Moonis
2015	—	`conf`	Model-based Clustering of Ischemic Stroke Patients. HEALTHINF Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Nazish Riaz, Majaz Moonis