19 citations · 61 across the 11 of their papers we have counts for
5 papers · 1 filter
BSGAN: A Novel Oversampling Technique for Imbalanced Pattern Recognitions
Md Manjurul Ahsan, Shivakumar Raman, Zahed Siddique
Class imbalanced problems (CIP) are one of the potential challenges in developing unbiased Machine Learning (ML) models for predictions. CIP occurs when data samples are not equall…
Imbalanced Class Data Performance Evaluation and Improvement using Novel Generative Adversarial Network-based Approach: SSG and GBO
Md Manjurul Ahsan, Md Shahin Ali, Zahed Siddique
Class imbalance in a dataset is one of the major challenges that can significantly impact the performance of machine learning models resulting in biased predictions. Numerous techn…
Machine Learning-Based Disease Diagnosis:A Bibliometric Analysis
Md Manjurul Ahsan, Zahed Siddique
Machine Learning (ML) has garnered considerable attention from researchers and practitioners as a new and adaptable tool for disease diagnosis. With the advancement of ML and the p…
Machine learning based disease diagnosis: A comprehensive review
Md Manjurul Ahsan, Zahed Siddique
Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient popu…
Machine Learning-Based Heart Disease Diagnosis: A Systematic Literature Review
Md Manjurul Ahsan, Zahed Siddique
Heart disease is one of the significant challenges in today's world and one of the leading causes of many deaths worldwide. Recent advancement of machine learning (ML) application…