Classification of Phishing Email Using Random Forest Machine Learning Technique. - Andronicus Ayobami Akinyelu; Aderemi Oluyinka Adewumi (J. Appl. Math., 2014)

A hybrid firefly and support vector machine classifier for phishing email detection. - Aderemi Oluyinka Adewumi; Andronicus Ayobami Akinyelu (Kybernetes, 2016)

A survey of machine-learning and nature-inspired based credit card fraud detection techniques. - Aderemi Oluyinka Adewumi; Andronicus Ayobami Akinyelu (Int. J. Syst. Assur. Eng. Manag., 2017)

Improved Instance Selection Methods for Support Vector Machine Speed Optimization. - Andronicus Ayobami Akinyelu; Aderemi Oluyinka Adewumi (Secur. Commun. Networks, 2017)

On the Performance of Cuckoo Search and Bat Algorithms Based Instance Selection Techniques for SVM Speed Optimization with Application to e-Fraud Detection. - Andronicus Ayobami Akinyelu; Aderemi Oluyinka Adewumi (KSII Trans. Internet Inf. Syst., 2018)

Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization. - Andronicus Ayobami Akinyelu; Absalom E. Ezugwu (IEEE Access, 2019)

Machine Learning and Nature Inspired Based Phishing Detection: A Literature Survey. - Andronicus Ayobami Akinyelu (Int. J. Artif. Intell. Tools, 2019)

Bio-inspired technique for improving machine learning speed and big data processing. - Andronicus Ayobami Akinyelu (IJCNN, 2020)

Convolutional Neural Network-Based Methods for Eye Gaze Estimation: A Survey. - Andronicus Ayobami Akinyelu; Pieter J. Blignaut (IEEE Access, 2020)

Ant colony optimization edge selection for support vector machine speed optimization. - Andronicus Ayobami Akinyelu; Absalom E. Ezugwu; Aderemi Oluyinka Adewumi (Neural Comput. Appl., 2020)

A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems. - Absalom E. Ezugwu; Olawale Joshua Adeleke; Andronicus Ayobami Akinyelu; Serestina Viriri (Neural Comput. Appl., 2020)

Metaheuristics: a comprehensive overview and classification along with bibliometric analysis. - Absalom E. Ezugwu; Amit K. Shukla; Rahul Nath; Andronicus Ayobami Akinyelu; Jeffrey O. Agushaka; Haruna Chiroma; Pranab K. Muhuri (Artif. Intell. Rev., 2021)

Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices. - Andronicus Ayobami Akinyelu; Pieter J. Blignaut (Frontiers Artif. Intell., 2021)

Advances in spam detection for email spam, web spam, social network spam, and review spam: ML-based and nature-inspired-based techniques. - Andronicus Ayobami Akinyelu (J. Comput. Secur., 2021)

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. - Absalom E. Ezugwu; Abiodun M. Ikotun; Olaide Nathaniel Oyelade; Laith Mohammad Abualigah; Jeffrey O. Agushaka; Christopher Ifeanyi Eke; Andronicus Ayobami Akinyelu (Eng. Appl. Artif. Intell., 2022)

COVID-19 diagnosis using deep learning neural networks applied to CT images. - Andronicus Ayobami Akinyelu; Pieter J. Blignaut (Frontiers Artif. Intell., 2022)

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey. - Andronicus Ayobami Akinyelu; Fulvio Zaccagna; James T. Grist; Mauro Castelli; Leonardo Rundo (J. Imaging, 2022)