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Hammed Mojeed

Teaching and Research Assistant

University of Gdańsk

Poland

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About

Hammed Mojeed is a Teaching and Research Assistant at Gdansk University of Technology in Poland. His research focuses on machine learning applications in software defect prediction, customer churn prediction, and electrocardiogram analysis. He has contributed to various empirical studies and systematic reviews that enhance decision-making processes using advanced classification models.

Articles (13)

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2025

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2025

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2024

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2024

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (5)

Kayode Adewole

Assistant Professor

Malmö University

SWEDEN

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Luiz Capretz

Professor of Software Engineering

Western University

CANADA

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Abdullateef Balogun

Senior Lecturer

Universiti Teknologi PETRONAS (UTP)

MALAYSIA

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Haruna Chiroma

University Professor

SAUDI ARABIA

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Rafal Szlapczynski

Associate Professor

University of Gdańsk

POLAND

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Hammed Mojeed

Research Interests

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About

Articles (13)

Learning Software Overtime Estimation From Experts‘ Annotations: A Greedy Cross-Validation-Based Machine Learning Approach

Empirical Analysis of Data Sampling-Based Decision Forest Classifiers for Software Defect Prediction

Empirical analysis of tree-based classification models for customer churn prediction

Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction

A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram

Intelligent Decision Forest Models for Customer Churn Prediction

Empirical Analysis of Forest Penalizing Attribute and Its Enhanced Variations for Android Malware Detection

Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions

Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection

A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction

Heterogeneous Ensemble with Combined Dimensionality Reduction for Social Spam Detection

Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction

Impact of Feature Selection Methods on the Predictive Performance of Software Defect Prediction Models: An Extensive Empirical Study

Collaborators (5)

Kayode Adewole

Luiz Capretz

Abdullateef Balogun

Haruna Chiroma

Rafal Szlapczynski

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