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Ahmedul Kabir
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2020 – today
- 2024
- [j2]Koushik Roy
, Md. Sazzad Hossain
A multifaceted evaluation of representation of graphemes for practically effective Bangla OCR. Int. J. Document Anal. Recognit. 27(1): 73-95 (2024) - [i3]Md. Asif Khan Rifat, Ahmedul Kabir, Armana Sabiha Huq:
An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction. CoRR abs/2409.11929 (2024) - 2023
- [c12]Suravi Akhter, Afia Sajeeda, Ahmedul Kabir:
A Distance-Based Feature Selection Approach for Software Anomaly Detection. ENASE 2023: 149-157 - 2022
- [c11]Rafed Muhammad Yasir, Ahmedul Kabir:
Exploring the Impact of Code Style in Identifying Good Programmers. QuASoQ/SEED@APSEC 2022: 18-24 - [c10]Zikra Amin, Ahmedul Kabir:
A Performance Analysis of Machine Learning Models for Attack Prediction using Different Feature Selection Techniques. BCD 2022: 130-135 - [i2]Rafed Muhammad Yasir, Ahmedul Kabir:
Exploring the Impact of Code Style in Identifying Good Programmers. CoRR abs/2206.10891 (2022) - [i1]Rafed Muhammad Yasir, Ahmedul Kabir:
Defect Prediction Using Stylistic Metrics. CoRR abs/2206.10959 (2022) - 2020
- [c9]Ishtiaque Hussain, Ahmed Shamim Hasan, Rafed Muhammad Yasir, Ahmedul Kabir, Syed Ishtiaque Ahmed
How Well Does Undergraduate Education Prepare Software Engineers? Perspectives of Practitioners in Bangladesh. CSEE&T 2020: 1-10 - [c8]Shihab Shahriar Khan, Nishat Tasnim Niloy, Md. Aquib Azmain, Ahmedul Kabir:
Impact of Label Noise and Efficacy of Noise Filters in Software Defect Prediction. SEKE 2020: 347-352 - [c7]Fazle Rabbi, Md. Nazmul Haque, Md. Eusha Kadir, Md. Saeed Siddik, Ahmedul Kabir:
An Ensemble Approach to Detect Code Comment Inconsistencies using Topic Modeling. SEKE 2020: 392-395
2010 – 2019
- 2019
- [j1]Mahmud Akhter Shareef, Ramakrishnan Raman
Public service reformation: Relationship building by mobile technology. Int. J. Inf. Manag. 49: 217-227 (2019) - [c6]Pritom Saha Akash, Ali Zafar Sadiq, Ahmedul Kabir:
An Approach of Extracting God Class Exploiting Both Structural and Semantic Similarity. ENASE 2019: 427-433 - [c5]Ali Zafar Sadiq, Ahmedul Kabir, Kazi Sakib:
Finding Erroneous Components from Change Coupled Relations at Fix-inducing Changes. SEKE 2019: 655-777 - 2018
- [c4]Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez:
Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness. ICDM 2018: 1073-1078 - 2017
- [c3]Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Majaz Moonis:
Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees. HEALTHINF 2017: 178-187 - [c2]Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Majaz Moonis:
Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke. BIOSTEC (Selected Papers) 2017: 376-402 - 2015
- [c1]Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez, Nazish Riaz, Majaz Moonis:
Model-based Clustering of Ischemic Stroke Patients. HEALTHINF 2015: 172-181
Coauthor Index
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