Recent Publications (2024)
iBRF: Improved Balanced Random Forest Classifier
Authors: Asif Newaz, Md Salman Mohosheu, Abdullah al Noman, Dr. Taskeed Jabid
Conference: 35th Conference of Open Innovations Association FRUCT, Finland.
DOI: https://doi.org/10.23919/FRUCT61870.2024.10516372
Code: https://github.com/newaz-aa/iBRF
Summary: The work presents a modified version of the original BRF classifier, designed to improve its generalizability and performance in handling imbalanced data.
A Comprehensive Evaluation of Sampling Techniques in Addressing Class Imbalance Across Diverse Datasets
Authors: Md Salman Mohosheu, Abdullah al Noman, Asif Newaz, Al-Amin, Dr. Taskeed Jabid
Conference: 6th International Conference on Electrical Engineering and Information & Communication Technology 2024, MIST, Bangladesh.
DOI: https://doi.org/10.1109/ICEEICT62016.2024.10534464
Summary: A detailed experimental analysis has been conducted in this study to understand the efficacy of different sampling techniques and to identify their weaknesses.
An ML-based decision support system for reliable diagnosis of ovarian cancer by leveraging explainable AI
Authors: Asif Newaz, Abdullah Taharat, Md Sakib Ul Islam, Khairum Islam, A.G.M. Fuad Hasan Akanda
Journal: Informatics in Medicine Unlocked
Journal metrics: Q2 (cite score = 9.5)
DOI: https://doi.org/10.1016/j.imu.2024.101553
Code: https://github.com/newaz-aa/Ovarian_Cancer
Summary: In this work, new biomarkers have been identified for OC diagnosis in pre and post-menopausal women. XAI tools (SHAP) have been incorporated to provide a more reliable and transparent prediction. SHAP is further utilized to discern the stochastic nature and associated bias from the ML and feature selection algorithms.