Ahmedul Kabir

Orcid: 0000-0001-5983-6775

According to our database1, Ahmedul Kabir authored at least 15 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A multifaceted evaluation of representation of graphemes for practically effective Bangla OCR.
Int. J. Document Anal. Recognit., March, 2024

2023
A Distance-Based Feature Selection Approach for Software Anomaly Detection.
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023

2022
Defect Prediction Using Stylistic Metrics.
CoRR, 2022

A Performance Analysis of Machine Learning Models for Attack Prediction using Different Feature Selection Techniques.
Proceedings of the 7th IEEE/ACIS International Conference on Big Data, 2022

Exploring the Impact of Code Style in Identifying Good Programmers.
Proceedings of the Joint Proceedings of the 10th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2022) & the 6th Software Engineering Education Workshop (SEED 2022) co-located with 29th Asia Pacific Software Engineering Conference 2022, 2022

2020
Impact of Label Noise and Efficacy of Noise Filters in Software Defect Prediction.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

An Ensemble Approach to Detect Code Comment Inconsistencies using Topic Modeling.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

How Well Does Undergraduate Education Prepare Software Engineers? Perspectives of Practitioners in Bangladesh.
Proceedings of the 32nd IEEE Conference on Software Engineering Education and Training, 2020

2019
Public service reformation: Relationship building by mobile technology.
Int. J. Inf. Manag., 2019

Finding Erroneous Components from Change Coupled Relations at Fix-inducing Changes.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

An Approach of Extracting God Class Exploiting Both Structural and Semantic Similarity.
Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering, 2019

2018
Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Regression, Classification and Ensemble Machine Learning Approaches to Forecasting Clinical Outcomes in Ischemic Stroke.
Proceedings of the Biomedical Engineering Systems and Technologies, 2017

Predicting Outcome of Ischemic Stroke Patients using Bootstrap Aggregating with M5 Model Trees.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2015
Model-based Clustering of Ischemic Stroke Patients.
Proceedings of the HEALTHINF 2015, 2015


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