Automated driver behavior profiling is a strategically important problem within intelligent transportation systems, road safety engineering, and fleet-based emissions governance. This study presents a Heterogeneous Out-of-Fold (OOF) Stacking Ensemble augmented with inter-model probabilistic disagreement as a first-clas...
Md Mohibul Alam, A. O. Balogun, N. Arshad et al.· International Journal of Adv...· 0 citations
A trust-centric framework that integrates ensemble-based uncertainty estimation, maximum mean discrepancy (MMD) shift detection, a dependability signal, and safety-aware decision logic to prioritize reliable actions over raw predictive confidence is proposed.
Yusuf Surajo, S. Basri, A. Balogun et al.· Proceedings of the 21st Inte...· 0 citations
Results indicate that global feature importance, used as an active search signal rather than a post-hoc diagnostic, improves both the effectiveness and the efficiency of individual fairness testing.
H. Mamman, Abdullateef Oluwagbemiga Balogun, Mustapha Maidawa et al.· Journal of King Saud Univers...· 0 citations
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