7 citations · 8 across the 3 of their papers we have counts for
3 papers
Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
While deep learning has significantly advanced automatic plant disease detection through image-based classification, improving model explainability remains crucial for reliable dis…
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
Recently, there has been a growing interest in Multimodal Large Language Models (MLLMs) due to their remarkable potential in various tasks integrating different modalities, such as…
Concept explainability for plant diseases classification
Jihen Amara, Birgitta König-Ries, Sheeba Samuel
Plant diseases remain a considerable threat to food security and agricultural sustainability. Rapid and early identification of these diseases has become a significant concern moti…