| Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets F D'Ascenzo, O De Filippo, G Gallone, G Mittone, MA Deriu, ... The Lancet 397 (10270), 199-207, 2021 | 194 | 2021 |
| A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score G Halasz, M Sperti, M Villani, U Michelucci, P Agostoni, A Biagi, L Rossi, ... Journal of Medical Internet Research 23 (5), e29058, 2021 | 39 | 2021 |
| Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques F Venturini, M Sperti, U Michelucci, I Herzig, M Baumgartner, ... Foods 10 (5), 1010, 2021 | 28 | 2021 |
| Cardiovascular risk prediction in ankylosing spondylitis: from traditional scores to machine learning assessment L Navarini, F Caso, L Costa, D Currado, L Stola, F Perrotta, L Delfino, ... Rheumatology and therapy 7, 867-882, 2020 | 24 | 2020 |
| A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis L Navarini, M Sperti, D Currado, L Costa, MA Deriu, DPE Margiotta, ... Rheumatology 59 (7), 1767-1769, 2020 | 20 | 2020 |
| Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil F Venturini, M Sperti, U Michelucci, A Gucciardi, VM Martos, MA Deriu Journal of Food Engineering 336, 111198, 2023 | 12 | 2023 |
| One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge: explainability techniques applied to olive oil fluorescence spectra F Venturini, U Michelucci, M Sperti, A Gucciardi, MA Deriu Optical Sensing and Detection VII 12139, 326-333, 2022 | 3 | 2022 |
| Physico-chemical properties extraction from the fluorescence spectrum with 1d-convolutional neural networks: application to olive oil F Venturini, M Sperti, U Michelucci, A Gucciardi, VM Martose, MA Deriu arXiv preprint arXiv:2203.07229, 2022 | 3 | 2022 |
| A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification U Michelucci, M Sperti, D Piga, F Venturini, MA Deriu Algorithms 14 (11), 301, 2021 | 3 | 2021 |
| Cardiovascular risk prediction: from classical statistical methods to machine learning approaches. M Sperti, M Malavolta, A Dellavalle, R Ruggieri, S Bergia, A Fazio, ... Minerva Cardiology and Angiology 70 (1), 102-122, 2022 | 2 | 2022 |
| JAK inhibitors in immune-mediated rheumatic diseases: From a molecular perspective to clinical studies M Sperti, M Malavolta, G Ciniero, S Borrelli, M Cavaglià, S Muscat, ... Journal of Molecular Graphics and Modelling 104, 107789, 2021 | 2 | 2021 |
| Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils F Venturini, M Sperti, U Michelucci, A Gucciardi, VM Martos, MA Deriu arXiv preprint arXiv:2301.04471, 2023 | 1 | 2023 |
| Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil G Arnaud, U Michelucci, F Venturini, M Sperti, MA Deriu Optical Sensing and Detection VII 12139, 415-424, 2022 | 1 | 2022 |
| Cardiovascular Risk Prediction in Rheumatic Patients by Artificial Intelligence Paradigms M Sperti Politecnico di Torino, 2019 | 1 | 2019 |
| An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to … K Kassem, M Sperti, A Cavallo, AM Vergani, D Fassino, M Moz, A Liscio, ... Artificial Intelligence in Medicine 151, 102841, 2024 | | 2024 |
| Understanding the learning mechanism of convolutional neural networks applied to fluorescence spectra F Venturini, U Michelucci, M Sperti, A Gucciardi, MA Deriu AI and Optical Data Sciences IV 12438, 178-184, 2023 | | 2023 |
| Chemical analysis of olive oils from fluorescence spectra thanks to one-dimensional convolutional neural networks M Sperti, A Gucciardi, U Michelucci, F Venturini, MA Deriu Optical Sensing and Detection VII 12139, 425-433, 2022 | | 2022 |
| Machine learning approaches as an alternative to traditional statistical methods in cardiovascular risk prediction M Sperti, F D'Ascenzo, L Navarini, G Di Benedetto, A Afeltra, R Giacomelli, ... Biomedical Science and Engineering 5 (s1), 2021 | | 2021 |
