A Supervised Method for Learning Precise Timing of Multiple Spikes in Spiking Neural Networks. - Moses Apambila Agebure; Elkanah Olaosebikan Oyetunji; Edward Yellakuor Baagyere (AFRICON, 2019)

A Multi-Spiking Neural Network Learning Model for Data Classification. - Edward Yellakuor Baagyere; Agebure Apambila Moses; Qin Zhen; Oyetunji Elkanah Olaosebikan; Zhiguang Qin (IEEE Access, 2020)

A three-tier road condition classification system using a spiking neural network model. - Moses Apambila Agebure; Elkanah Olaosebikan Oyetunji; Edward Yellakuor Baagyere (J. King Saud Univ. Comput. Inf. Sci., 2022)

An oversampling technique using genetic algorithm and feature selection for imbalance learning. - Peter Awon-Natemi Agbedemnab; Moses Apambila Agebure; Abaafe Awonate Emmanuel (Int. J. Artif. Intell. Soft Comput., 2024)