1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Towards a general framework for improving the performance of classifiers using XAI methods
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò +1
Modern Artificial Intelligence (AI) systems, especially Deep Learning (DL) models, poses challenges in understanding their inner workings by AI researchers. eXplainable Artificial…
cs.AI2023★ 1 cited
Strategies to exploit XAI to improve classification systems
Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò +2
Explainable Artificial Intelligence (XAI) aims to provide insights into the decision-making process of AI models, allowing users to understand their results beyond their decisions.…