2 citations · 3 across the 3 of their papers we have counts for
3 papers
Introducing δ-XAI: a novel sensitivity-based method for local AI explanations
Alessandro De Carlo, Enea Parimbelli, Nicola Melillo +1
Explainable Artificial Intelligence (XAI) is central to the debate on integrating Artificial Intelligence (AI) and Machine Learning (ML) algorithms into clinical practice. High-per…
Igea: a Decoder-Only Language Model for Biomedical Text Generation in Italian
Tommaso Mario Buonocore, Simone Rancati, Enea Parimbelli
The development of domain-specific language models has significantly advanced natural language processing applications in various specialized fields, particularly in biomedicine. H…
Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
Lorenzo Peracchio, Giovanna Nicora, Enea Parimbelli +5
Applying Artificial Intelligence (AI) and Machine Learning (ML) in critical contexts, such as medicine, requires the implementation of safety measures to reduce risks of harm in ca…