Asif Newaz - Publications

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

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.

Recent Submissions/Preprints

iCost: A Novel Instance Complexity Based Cost-Sensitive Learning Framework for Imbalanced Classification

Submitted in - Expert Systems with Applications (Elsevier)

Arxiv: https://doi.org/10.48550/arXiv.2409.13007

Code: https://github.com/newaz-aa/iCost

Summary: In this work, a modification to the original cost-sensitive (weighted) classifiers has been proposed that uses instance-level complexity to penalize the misclassifications made by the model in contrast to the traditional way of naively weighting all instances equally.

A Unified Sampling Framework to Jointly Address Class Imbalance and Overlapping for Improved Performance

Submitted in - Knowledge and Information Systems Journal (Springer)

Arxiv: https://doi.org/10.48550/arXiv.2208.09619

Summary: A highly engineered sampling approach that aims to alleviate the shortcomings of traditional sampling approaches such as SMOTE while addressing different data difficulty factors that are responsible for poor performance in imbalanced and limited data settings.

A Sophisticated Machine Learning Framework for the Accurate Detection of Phishing Websites

DOI: https://arxiv.org/abs/2403.09735v1

Code: https://github.com/newaz-aa/Phishing

Journals

Machine Learning Enabled Multimode Fiber Specklegram Sensors: A Review

Authors: Asif Newaz, Md Omar Faruque, Rabiul Al Mahmud, Rakibul Hasan Sagor, M. Zahed Mustafa Khan.

Journal: IEEE Sensors

Journal metrics: Q1 (cite score = 7.7)

DOI: https://doi.org/10.1109/JSEN.2023.3298169

An intelligent decision support system for the accurate diagnosis of cervical cancer

Authors: Asif Newaz, Sabiq Muhtadi, Farhan Shahriyar Haq

Journal: Knowledge-Based Systems

Journal metrics: Q1 (cite score = 14.8)

DOI: https://doi.org/10.1016/j.knosys.2022.108634

Survival prediction of heart failure patients using machine learning techniques

Authors: Asif Newaz, Nadim Ahmed, Farhan Shahriyar Haq

Journal: Informatics in Medicine Unlocked

Journal metrics: Q2 (cite score = 9.5)

DOI: https://doi.org/10.1016/j.imu.2021.100772

Predicting complications of myocardial infarction within several hours of hospitalization using data mining techniques

Authors: Asif Newaz, Md Salman Mohosheu, Abdullah al Noman

Journal: Informatics in Medicine Unlocked

Journal metrics: Q2 (cite score = 9.5)

DOI: https://doi.org/10.1016/j.imu.2023.101361

Conference Proceedings

Survival Analysis of Breast Cancer Patients: A Population-based Study from SEER

Authors: Md. Saifur Rahman, Aseer Imad Keats, Mohammad Abrar Kabir, Asif Newaz, Md Mahfuzul Islam

Conference: 3rd International Conference on Electrical, Computer, and Energy Technologies, South Africa

DOI: https://doi.org/10.1109/ICECET58911.2023.10389236

Performance Improvement of Heart Disease Prediction by Identifying Optimal Feature Sets Using Feature Selection Technique

Authors: Asif Newaz, Sabiq Muhtadi

Conference: 2021 International Conference on Information Technology (ICIT), Egypt

DOI: https://doi.org/10.1109/ICIT52682.2021.9491739