1 citations · 2 across the 3 of their papers we have counts for
4 papers
Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction
Adebamigbe Fasanmade, Ali H. Al-Bayatti, Jarrad Neil Morden +1
Risk mitigation techniques are critical to avoiding accidents associated with driving behaviour. We provide a novel Multi-Class Driver Distraction Risk Assessment (MDDRA) model tha…
Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite
Mădălina-Andreea Mitran, Anna V. Kononova, Fabio Caraffini +1
This study investigates the influence of several bound constraint handling methods (BCHMs) on the search process specific to Differential Evolution (DE), with a focus on identifyin…
Modular Differential Evolution
Diederick Vermetten, Fabio Caraffini, Anna V. Kononova +1
New contributions in the field of iterative optimisation heuristics are often made in an iterative manner. Novel algorithmic ideas are not proposed in isolation, but usually as an…
Deep-BIAS: Detecting Structural Bias using Explainable AI
Bas van Stein, Diederick Vermetten, Fabio Caraffini +1
Evaluating the performance of heuristic optimisation algorithms is essential to determine how well they perform under various conditions. Recently, the BIAS toolbox was introduced…