Ahmedul Kabir
Orcid: 0000-0001-5983-6775
According to our database1,
Ahmedul Kabir
authored at least 16 papers
between 2015 and 2024.
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Bibliography
2024
A multifaceted evaluation of representation of graphemes for practically effective Bangla OCR.
Int. J. Document Anal. Recognit., March, 2024
CoRR, 2024
2023
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering, 2023
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
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
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020
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
Int. J. Inf. Manag., 2019
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