27 citations · 32 across the 5 of their papers we have counts for
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cs.AI2025
Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
Matteo Ceschin, Leonardo Arrighi, Luca Longo +1
The need to explain predictive models is well-established in modern machine learning. However, beyond model interpretability, understanding pre-processing methods is equally essent…
cs.AI2025★ 27 cited
Explainable Artificial Intelligence Techniques for Interpretation of Food Models: a Review
Leonardo Arrighi, Ingrid Alves de Moraes, Marco Zullich +3
Artificial Intelligence (AI) has become essential for analyzing complex data and solving highly-challenging tasks. It is being applied across numerous disciplines beyond computer s…