A Comparative Analysis of Feature Extraction Methods for Classifying Colon Cancer Microarray Data. - Micheal Olaolu Arowolo; Rafiu Mope Isiaka; Sulaiman Olaniyi Abdulsalam; Kayode Yakub Saheed; Kazeem Alagbe Gbolagade (EAI Endorsed Trans. Scalable Inf. Syst., 2017)

Computational Investigation of Consistency and Performance of the Biochemical Network of the Malaria Parasite, Plasmodium falciparum. - Marion O. Adebiyi; Bolaji Famuyiwa; Abayomi Mosaku; Roseline Ogundokun; Olaolu Arowolo; Noah Akande; Adekanmi Adegun; Aderonke Kayode; Ayodele Ariyo Adebiyi; Ezekiel F. Adebiyi (ICCSA (5), 2019)

Performance Evaluation of ANOVA and RFE Algorithms for Classifying Microarray Dataset Using SVM. - Sulaiman Olaniyi Abdulsalam; Abubakar Adamu Mohammed; Jumoke Falilat Ajao; Ronke Seyi Babatunde; Roseline Oluwaseun Ogundokun; Chiebuka T. Nnodim; Micheal Olaolu Arowolo (EMCIS, 2020)

Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF. - Kayode Omotosho Alabi; Sulaiman Olaniyi Abdulsalam; Roseline Oluwaseun Ogundokun; Micheal Olaolu Arowolo (ICTA, 2020)

A Hybrid Heuristic Dimensionality Reduction Methods for Classifying Malaria Vector Gene Expression Data. - Olaolu Arowolo; Marion Olubunmi Adebiyi; Ayodele Ariyo Adebiyi; Julius Olatunji Okesola (IEEE Access, 2020)

A Hybrid Metaheuristic Algorithm for Features Dimensionality Reduction in Network Intrusion Detection System. - Bukola Fatimah Balogun; Kazeem Alagbe Gbolagade; Micheal Olaolu Arowolo; Kayode Yakub Saheed (ICCSA (9), 2021)

Efficient Cyber Attack Detection on the Internet of Medical Things-Smart Environment Based on Deep Recurrent Neural Network and Machine Learning Algorithms. - Kayode Yakub Saheed; Micheal Olaolu Arowolo (IEEE Access, 2021)

A survey of dimension reduction and classification methods for RNA-Seq data on malaria vector. - Micheal Olaolu Arowolo; Marion Olubunmi Adebiyi; Charity Aremu; Ayodele Ariyo Adebiyi (J. Big Data, 2021)

Optimized hybrid investigative based dimensionality reduction methods for malaria vector using KNN classifier. - Micheal Olaolu Arowolo; Marion Olubunmi Adebiyi; Ayodele Ariyo Adebiyi; Oludayo O. Olugbara (J. Big Data, 2021)

Comprehensive Assessment of OCR Tools for Gene Name Recognition in Biological Pathway Figures. - Stuart Aldrich; Micheal Olaolu Arowolo; Fei He 003; Mihail Popescu; Dong Xu 002 (BIBM, 2022)

Relevant gene selection using ANOVA-ant colony optimisation approach for malaria vector data classification. - Micheal Olaolu Arowolo; Joseph Bamidele Awotunde; Peace Ayegba; Shakirat Oluwatosin Haroon-Sulyman (Int. J. Model. Identif. Control., 2022)

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms. - Sulaiman Olaniyi Abdulsalam; Jumoke Falilat Ajao; Bukola Fatimah Balogun; Micheal Olaolu Arowolo (EAI Endorsed Trans. Mob. Commun. Appl., 2022)

A Machine Learning Technique for Detection of Social Media Fake News. - Micheal Olaolu Arowolo; Sanjay Misra; Roseline Oluwaseun Ogundokun (Int. J. Semantic Web Inf. Syst., 2023)

Machine learning-based IoT system for COVID-19 epidemics. - Micheal Olaolu Arowolo; Roseline Oluwaseun Ogundokun; Sanjay Misra; Blessing Dorothy Agboola; Brij B. Gupta (Computing, 2023)

An Effective Intrusion Detection in Mobile Ad-hoc Network Using Deep Belief Networks and Long Short-Term Memory. - Abdulfatai Shola Hanafi; Yakub Kayode Saheed; Micheal Olaolu Arowolo (Int. J. Interact. Mob. Technol., 2023)

A comprehensive evaluation of large language models in mining gene relations and pathway knowledge. - Muhammad Azam; Yibo Chen; Micheal Olaolu Arowolo; Haowang Liu; Mihail Popescu; Dong Xu 002 (Quant. Biol., 2024)