L. Calefice
About
L. Calefice has authored 15 papers that have received a total of 259 indexed citations.
This includes 12 papers in Artificial Intelligence, 10 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Health Informatics. The topics of these papers are COVID-19 diagnosis using AI (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers). L. Calefice is often cited by papers focused on COVID-19 diagnosis using AI (8 papers), Anomaly Detection Techniques and Applications (7 papers) and Domain Adaptation and Few-Shot Learning (4 papers) and collaborates with scholars based in Costa Rica, United Kingdom and Spain. L. Calefice's co-authors include David Elizondo, Shengxiang Yang, Miguel A. Molina‐Cabello, Jordina Torrents‐Barrena and Ángel García‐Pedrero and has published in prestigious journals such as IEEE Access, Applied Soft Computing and Neural Computing and Applications.
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