Exploiting Censored Information in Self-Training for Time-to-Event Prediction. - Fateme Nateghi Haredasht; Kazeem Adesina Dauda; Celine Vens (IEEE Access, 2023)

HyperTraPS-CT: Inference and prediction for accumulation pathways with flexible data and model structures. - Olav N. L. Aga; Morten Brun; Kazeem Adesina Dauda; Ramón Díaz-Uriarte; Konstantinos Giannakis; Iain G. Johnston (PLoS Comput. Biol., 2024)

Clustering Large-Scale Biomedical Data to Model Dynamic Accumulation Processes in Disease Progression and Anti-Microbial Resistance Evolution. - Kazeem Adesina Dauda; Olav N. L. Aga; Iain G. Johnston (IEEE Access, 2025)

Consistency and Stability in Feature Selection for High-Dimensional Microarray Survival Data in Diffuse Large B-Cell Lymphoma Cancer. - Kazeem Adesina Dauda; Rasheed K. Lamidi (Data, 2025)