Archivio Istituzionale della RicercaSfoglia per Autore
Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment
2020 Navarini, Luca; Caso, Francesco; Costa, Luisa; Currado, Damiano; Stola, Liliana; Perrotta, Fabio; Delfino, Lorenzo; Sperti, Michela; Deriu, Marco A.; Ruscitti, Piero; Pavlych, Viktoriya; Corrado, Addolorata; Di Benedetto, Giacomo; Tasso, Marco; Ciccozzi, Massimo; Laudisio, Alice; Lunardi, Claudio; Cantatore, Francesco Paolo; Lubrano, Ennio; Giacomelli, Roberto; Scarpa, Raffaele; Afeltra, Antonella
A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis
2020 Navarini, L.; Sperti, M.; Currado, D.; Costa, L.; Deriu, M. A.; Margiotta, D. P. E.; Tasso, M.; Scarpa, R.; Afeltra, A.; Caso, F.
JAK Inhibitors in Immune-Mediated Rheumatic Diseases: from a Molecular Perspective to Clinical Studies
2020 Sperti, Michela; Malavolta, Marta; Ciniero, Gloria; Borrelli, Simone; Cavaglià, Marco; Muscat, Stefano; Tuszynski, JACEK ADAM; Afeltra, Antonella; Paolo Emanuele Margiotta, Domenico; Navarini, Luca
Machine learning approaches as an alternative to traditional statistical methods in cardiovascular risk prediction
2021 Sperti, Michela; D’Ascenzo, Fabrizio; Navarini, Luca; Di Benedetto, Giacomo; Afeltra, Antonella; Giacomelli, Roberto; Deriu, Marco A.
A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification
2021 Michelucci, Umberto; Sperti, Michela; Piga, Dario; Venturini, Francesca; Deriu, Marco A.
A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score
2021 Halasz, Geza; Sperti, Michela; Villani, Matteo; Michelucci, Umberto; Agostoni, Piergiuseppe; Biagi, Andrea; Rossi, Luca; Botti, Andrea; Mari, Chiara; Maccarini, Marco; Pura, Filippo; Roveda, Loris; Nardecchia, Alessia; Mottola, Emanuele; Nolli, Massimo; Salvioni, Elisabetta; Mapelli, Massimo; Deriu, Marco Agostino; Piga, Dario; Piepoli, Massimo
Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques
2021 Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Herzig, Ivo; Baumgartner, Michael; Palau Caballero, Josep; Jimenez, Arturo; Deriu, MARCO AGOSTINO
Chemical analysis of olive oils from fluorescence spectra thanks to one-dimensional convolutional neural networks
2022 Sperti, M; Michelucci, U; Venturini, F; Gucciardi, A; Deriu, Ma
Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil
2022 Gucciardi, A; Michelucci, U; Venturini, F; Sperti, M; Martos, Vm; Deriu, Ma
One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge: explainability techniques applied to olive oil fluorescence spectra
2022 Venturini, F; Michelucci, U; Sperti, M; Gucciardi, A; Deriu, Ma
Cardiovascular risk prediction: from classical statistical methods to machine learning approaches
2022 Sperti, Michela; Malavolta, Marta; STAUNOVO POLACCO, Federica; Dellavalle, Annalisa; Ruggieri, Rossella; Bergia, Sara; Fazio, Alice; Santoro, Carmine; Deriu, Marco A.
Understanding the learning mechanism of convolutional neural network applied to fluorescence spectra
2023 Venturini, F.; Michelucci, U.; Sperti, M.; Gucciardi, A.; Deriu, M. A.
Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil
2023 Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Gucciardi, Arnaud; Martos, Vanessa M.; Deriu, Marco A.
An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR)
2024 Kassem, Karim; Sperti, Michela; Cavallo, Andrea; Vergani, Andrea Mario; Fassino, Davide; Moz, Monica; Liscio, Alessandro; Banali, Riccardo; Dahlweid, Michael; Benetti, Luciano; Bruno, Francesco; Gallone, Guglielmo; De Filippo, Ovidio; Iannaccone, Mario; D'Ascenzo, Fabrizio; De Ferrari, Gaetano Maria; Morbiducci, Umberto; Della Valle, Emanuele; Deriu, Marco Agostino
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Cardiovascular Risk Prediction in Ankylosing Spondylitis: From Traditional Scores to Machine Learning Assessment / Navarini, Luca; Caso, Francesco; Costa, Luisa; Currado, Damiano; Stola, Liliana; Perrotta, Fabio; Delfino, Lorenzo; Sperti, Michela; Deriu, Marco A.; Ruscitti, Piero; Pavlych, Viktoriya; Corrado, Addolorata; Di Benedetto, Giacomo; Tasso, Marco; Ciccozzi, Massimo; Laudisio, Alice; Lunardi, Claudio; Cantatore, Francesco Paolo; Lubrano, Ennio; Giacomelli, Roberto; Scarpa, Raffaele; Afeltra, Antonella. - In: RHEUMATOLOGY AND THERAPY. - ISSN 2198-6576. - 7:4(2020), pp. 867-882. [10.1007/s40744-020-00233-4] | 1-gen-2020 | Sperti, MichelaDeriu, Marco A. + | Navarini_AS.pdf |
| A machine-learning approach to cardiovascular risk prediction in psoriatic arthritis / Navarini, L.; Sperti, M.; Currado, D.; Costa, L.; Deriu, M. A.; Margiotta, D. P. E.; Tasso, M.; Scarpa, R.; Afeltra, A.; Caso, F.. - In: RHEUMATOLOGY. - ISSN 1462-0324. - 59:7(2020), pp. 1767-1769. [10.1093/rheumatology/kez677] | 1-gen-2020 | Sperti M.Deriu M. A. + | Navarini_PsA.pdf |
| JAK Inhibitors in Immune-Mediated Rheumatic Diseases: from a Molecular Perspective to Clinical Studies / Sperti, Michela; Malavolta, Marta; Ciniero, Gloria; Borrelli, Simone; Cavaglià, Marco; Muscat, Stefano; Tuszynski, JACEK ADAM; Afeltra, Antonella; Paolo Emanuele Margiotta, Domenico; Navarini, Luca. - In: JOURNAL OF MOLECULAR GRAPHICS & MODELLING. - ISSN 1093-3263. - 104:(2020), p. 107789. [10.1016/j.jmgm.2020.107789] | 1-gen-2020 | Michela SpertiMarta MalavoltaGloria CinieroSimone BorrelliMarco CavagliàJacek Adam Tuszynski + | 1-s2.0-S1093326320305787-main.pdf |
| Machine learning approaches as an alternative to traditional statistical methods in cardiovascular risk prediction / Sperti, Michela; D’Ascenzo, Fabrizio; Navarini, Luca; Di Benedetto, Giacomo; Afeltra, Antonella; Giacomelli, Roberto; Deriu, Marco A.. - In: BIOMEDICAL SCIENCE AND ENGINEERING. - ISSN 2531-9892. - 4:(2021). (Intervento presentato al convegno III Convegno Annuale "L'era delle 3R: modelli in silico, in vitro e in vivo per promuovere la ricerca traslazionale") [10.4081/bse.2021.195]. | 1-gen-2021 | Sperti, MichelaDeriu, Marco A. + | 195-Article Text-755-1-10-20210929.pdf |
| A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification / Michelucci, Umberto; Sperti, Michela; Piga, Dario; Venturini, Francesca; Deriu, Marco A.. - In: ALGORITHMS. - ISSN 1999-4893. - 14:11(2021), p. 301. [10.3390/a14110301] | 1-gen-2021 | Michela SpertiMarco A. Deriu + | algorithms-14-00301.pdf |
| A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score / Halasz, Geza; Sperti, Michela; Villani, Matteo; Michelucci, Umberto; Agostoni, Piergiuseppe; Biagi, Andrea; Rossi, Luca; Botti, Andrea; Mari, Chiara; Maccarini, Marco; Pura, Filippo; Roveda, Loris; Nardecchia, Alessia; Mottola, Emanuele; Nolli, Massimo; Salvioni, Elisabetta; Mapelli, Massimo; Deriu, Marco Agostino; Piga, Dario; Piepoli, Massimo. - In: JMIR. JOURNAL OF MEDICAL INTERNET RESEARCH. - ISSN 1438-8871. - 23:5(2021), p. e29058. [10.2196/29058] | 1-gen-2021 | Sperti, MichelaDeriu, Marco Agostino + | PDF.pdf |
| Exploration of Spanish Olive Oil Quality with a Miniaturized Low-Cost Fluorescence Sensor and Machine Learning Techniques / Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Herzig, Ivo; Baumgartner, Michael; Palau Caballero, Josep; Jimenez, Arturo; Deriu, MARCO AGOSTINO. - In: FOODS. - ISSN 2304-8158. - 10:5(2021), p. 1010. [10.3390/foods10051010] | 1-gen-2021 | Michela SpertiMarco Agostino Deriu + | foods-10-01010-v2.pdf |
| Chemical analysis of olive oils from fluorescence spectra thanks to one-dimensional convolutional neural networks / Sperti, M; Michelucci, U; Venturini, F; Gucciardi, A; Deriu, Ma. - 12139:(2022), p. 81. (Intervento presentato al convegno SPIE Photonics Europe) [10.1117/12.2621666]. | 1-gen-2022 | Sperti, MDeriu, MA + | Proceeding_SPIE_2022___Comparison_FFNN_CNN.pdf |
| Compact optical fluorescence sensor for food quality control using artificial neural networks: application to olive oil / Gucciardi, A; Michelucci, U; Venturini, F; Sperti, M; Martos, Vm; Deriu, Ma. - 12139:(2022), p. 80. (Intervento presentato al convegno SPIE Photonics Europe) [10.1117/12.2621588]. | 1-gen-2022 | Sperti, MDeriu, MA + | Proceeding_SPIE_2022___Classification.pdf |
| One-dimensional convolutional neural networks design for fluorescence spectroscopy with prior knowledge: explainability techniques applied to olive oil fluorescence spectra / Venturini, F; Michelucci, U; Sperti, M; Gucciardi, A; Deriu, Ma. - 12139:(2022), p. 60. (Intervento presentato al convegno SPIE Photonics Europe) [10.1117/12.2621646]. | 1-gen-2022 | Sperti, MDeriu, MA + | Proceeding_SPIE_2022___Feature_maps_and_explainability.pdf |
| Cardiovascular risk prediction: from classical statistical methods to machine learning approaches / Sperti, Michela; Malavolta, Marta; STAUNOVO POLACCO, Federica; Dellavalle, Annalisa; Ruggieri, Rossella; Bergia, Sara; Fazio, Alice; Santoro, Carmine; Deriu, Marco A.. - In: MINERVA CARDIOLOGY AND ANGIOLOGY. - ISSN 2724-5683. - 70:1(2022). [10.23736/S2724-5683.21.05868-3] | 1-gen-2022 | SPERTI, MichelaMALAVOLTA, MartaDERIU, Marco A. + | Post-print.pdf |
| Understanding the learning mechanism of convolutional neural network applied to fluorescence spectra / Venturini, F.; Michelucci, U.; Sperti, M.; Gucciardi, A.; Deriu, M. A.. - 12438:(2023), p. 50. (Intervento presentato al convegno SPIE OPTO, 2023) [10.1117/12.2647809]. | 1-gen-2023 | Sperti M.Deriu M. A. + | 124380O.pdf |
| Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks: Application to olive oil / Venturini, Francesca; Sperti, Michela; Michelucci, Umberto; Gucciardi, Arnaud; Martos, Vanessa M.; Deriu, Marco A.. - In: JOURNAL OF FOOD ENGINEERING. - ISSN 0260-8774. - ELETTRONICO. - 336:(2023), p. 111198. [10.1016/j.jfoodeng.2022.111198] | 1-gen-2023 | Michela SpertiMarco A. Deriu + | Extraction of physicochemical properties from the fluorescence spectrum with 1D convolutional neural networks Application to olive oil.pdf |
| An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare (NEAR) / Kassem, Karim; Sperti, Michela; Cavallo, Andrea; Vergani, Andrea Mario; Fassino, Davide; Moz, Monica; Liscio, Alessandro; Banali, Riccardo; Dahlweid, Michael; Benetti, Luciano; Bruno, Francesco; Gallone, Guglielmo; De Filippo, Ovidio; Iannaccone, Mario; D'Ascenzo, Fabrizio; De Ferrari, Gaetano Maria; Morbiducci, Umberto; Della Valle, Emanuele; Deriu, Marco Agostino. - In: ARTIFICIAL INTELLIGENCE IN MEDICINE. - ISSN 0933-3657. - 151:(2024). [10.1016/j.artmed.2024.102841] | 1-gen-2024 | Kassem, KarimSperti, MichelaCavallo, AndreaFassino, DavideMorbiducci, UmbertoDeriu, Marco Agostino + | 1-s2.0-S0933365724000836-main.pdf |
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