Kimia Shirini

Evaluation Bias in Cross-Context Generalization of EEG-Based Affective Computing: A Simulation Study

Cross-context accuracy in electroencephalography (EEG)-based emotion recognition is usually reported without the model-selection rule, chance-level test, or reliability reference needed to interpret it. We quantify the consequences in simulations with known ground truth and on re...

RAVA: a robust recurrent active vision agent for plant disease diagnosis under severe environmental noise

Abstract Deep learning models have achieved near-perfect accuracy in plant disease classification within controlled laboratory settings; however, their deployment in real-world agricultural environments is severely hindered by the “deployment gap”—a critical vulnerability to envi...