3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2026★ 3 cited
Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction
Ahmed Baha Ben Jmaa, Faten Chaieb, Anna Fabijańska
Fruit ripeness prediction (FRP) is a classification-based agricultural computer vision task that has attracted much attention, thanks to its wide-ranging advantages in agriculture…
cs.LG2026
Robustness Meets Uncertainty: Evidential Adversarial Training for Robust Selective Classification
Nicolas Sournac, Ahmed Baha Ben Jmaa, Bertrand Braeckeveldt
Safety-critical applications require classifiers that are both robust and reliable. Adversarial training is a widely adopted defense for improving robustness in deep neural network…