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Found 2 papers, 1 papers with code
Beyond One-Size-Fits-All: Adapting Counterfactual Explanations to User Objectives
Explainable Artificial Intelligence (XAI) has emerged as a critical area of research aimed at enhancing the transparency and interpretability of AI systems.
Synergy of Machine and Deep Learning Models for Multi-Painter Recognition
The growing availability of digitized art collections has created the need to manage, analyze and categorize large amounts of data related to abstract concepts, highlighting a demanding problem of computer science and leading to new research perspectives.
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