Systematic Discovery of Bias in Data. - John Wamburu; Girmaw Abebe Tadesse; Celia Cintas; Adebayo Oshingbesan; Tanya Akumu; Skyler Speakman (IEEE Big Data, 2022)

Detection of Malicious Websites Using Machine Learning Techniques. - Adebayo Oshingbesan; Courage Ekoh; Chukwuemeka Okobi; Aime Munezero; Richard Kagame (CoRR, 2022)

Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer Transformers. - Adebayo Oshingbesan; Courage Ekoh; Germann Atakpa; Yonah Byaruagaba (CoRR, 2022)

Leak Detection in Natural Gas Pipeline Using Machine Learning Models. - Adebayo Oshingbesan (CoRR, 2022)

Model-Free Reinforcement Learning for Asset Allocation. - Adebayo Oshingbesan; Eniola Ajiboye; Peruth Kamashazi; Timothy Mbaka (CoRR, 2022)

Efficient Representation of the Activation Space in Deep Neural Networks. - Tanya Akumu; Celia Cintas; Girmaw Abebe Tadesse; Adebayo Oshingbesan; Skyler Speakman; Edward McFowland III (CoRR, 2023)

Detecting Systematic Deviations in Data and Models. - Skyler Speakman; Girmaw Abebe Tadesse; Celia Cintas; William Ogallo; Tanya Akumu; Adebayo Oshingbesan (Computer, 2023)