575 citations · 880 across the 16 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
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.…
cs.LG2023★ 7 cited
Hidden Classification Layers: Enhancing linear separability between classes in neural networks layers
Andrea Apicella, Francesco Isgrò, Roberto Prevete
In the context of classification problems, Deep Learning (DL) approaches represent state of art. Many DL approaches are based on variations of standard multi-layer feed-forward neu…