Towards a model for enhancing ICT4 development and information security in healthcare system. - Kehinde Kayode Agbele; Peter K. Oriogun; Ayodele G. Seluwa; Kehinde D. Aruleba (ISTAS, 2015)

Visual Data Mining: A Comparative Analysis of Selected Datasets. - Ujunwa Mgboh; Blessing Ogechi Ogbuokiri; George Obaido; Kehinde D. Aruleba (ISDA, 2020)

Applications of Computational Methods in Biomedical Breast Cancer Imaging Diagnostics: A Review. - Kehinde D. Aruleba; George Obaido; Blessing Ogechi Ogbuokiri; Adewale Oluwaseun Fadaka; Ashwil Klein; Tayo Alex Adekiya; Raphael Taiwo Aruleba (J. Imaging, 2020)

Narratives and Counternarratives on Data Sharing in Africa. - Rediet Abebe; Kehinde D. Aruleba; Abeba Birhane; Sara Kingsley; George Obaido; Sekou L. Remy; Swathi Sadagopan (FAccT, 2021)

Demography of Machine Learning Education Within the K12. - Kehinde D. Aruleba; Oluwaseun Alexander Dada; Domor Mienye Ibomoiye; George Obaido (IBICA, 2021)

Information Technology Roles and Their Most-Used Programming Languages. - Oluwaseun Alexander Dada; Kehinde D. Aruleba; Abdullahi Abubakar Yunusa; Ismaila Temitayo Sanusi; George Obaido (IBICA, 2021)

Enhanced Prediction of Chronic Kidney Disease Using Feature Selection and Boosted Classifiers. - Domor Mienye Ibomoiye; George Obaido; Kehinde D. Aruleba; Oluwaseun Alexander Dada (ISDA, 2021)

Mining Frequently Traveled Routes During COVID-19. - George Obaido; Kehinde D. Aruleba; Oluwaseun Alexander Dada; Domor Mienye Ibomoiye (ISDA, 2021)

A Neural Network Ensemble With Feature Engineering for Improved Credit Card Fraud Detection. - Ebenezer Esenogho; Domor Mienye Ibomoiye; Theo G. Swart; Kehinde D. Aruleba; George Obaido (IEEE Access, 2022)

Teachers' readiness and intention to teach artificial intelligence in schools. - Musa Adekunle Ayanwale; Ismaila Temitayo Sanusi; Owolabi Paul Adelana; Kehinde D. Aruleba; Solomon Sunday Oyelere (Comput. Educ. Artif. Intell., 2022)

An Evaluation of Technology Adoption During Remote Teaching and Learning at Tertiary Institution by Gender. - Kehinde D. Aruleba; Nobert Rangarirai Jere; Obert Matarirano (IEEE Trans. Comput. Soc. Syst., 2023)

Hidden Gold for IT Professionals, Educators, and Students: Insights From Stack Overflow Survey. - Oluwaseun Alexander Dada; George Obaido; Ismaila Temitayo Sanusi; Kehinde D. Aruleba; Abdullahi Abubakar Yunusa (IEEE Trans. Comput. Soc. Syst., 2023)

An Improved Framework for Detecting Thyroid Disease Using Filter-Based Feature Selection and Stacking Ensemble. - George Obaido; Okechinyere J. Achilonu; Blessing Ogbuokiri; Chimeremma Sandra Amadi; Lawal Habeebullahi; Tony O'Halloran; Chidozie Williams Chukwu; Ebikella Domor Mienye; Mikail Aliyu; Olufunke Fasawe; Ibukunola Abosede Modupe; Erepamo Job Omietimi; et al. (IEEE Access, 2024)

An Improved Ensemble Method for Predicting Hyperchloremia in Adults With Diabetic Ketoacidosis. - George Obaido; Blessing Ogbuokiri; Chidozie Williams Chukwu; Fadekemi Janet Osaye; Oluwaseun Francis Egbelowo; Mark Izuchukwu Uzochukwu; Ibomoiye Domor Mienye; Kehinde D. Aruleba; Mpho Primus; Okechinyere J. Achilonu (IEEE Access, 2024)

Integrating ChatGPT in a Computer Science Course: Students Perceptions and Suggestions. - Kehinde D. Aruleba; Ismaila Temitayo Sanusi; George Obaido; Blessing Ogbuokiri (CoRR, 2024)

A machine learning approach towards assessing consistency and reproducibility: an application to graft survival across three kidney transplantation eras. - Okechinyere J. Achilonu; George Obaido; Blessing Ogbuokiri; Kehinde D. Aruleba; Eustasius Musenge; June Fabian (Frontiers Digit. Health, 2024)