Pubblicazioni

Optimization methods for the imputation of missing values in Educational Institutions Data

2021 - METHODSX (AMSTERDAM)
Aureli, D.; Bruni, R.; Daraio, C.

Cognitive analytics management of the customer lifetime value: an artificial neural network approach

2021 - JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
De Marco, M.; Fantozzi, P.; Fornaro, C.; Laura, L.; Miloso, A.

Machine Learning and Financial Literacy: An Exploration of Factors Influencing Financial Knowledge in Italy

2021 - JOURNAL OF RISK AND FINANCIAL MANAGEMENT
Levantesi, Susanna; Zacchia, Giulia

Voice analysis with machine learning: one step closer to an objective diagnosis of essential tremor

2021 - MOVEMENT DISORDERS
Suppa, A.; Asci, F.; Saggio, G.; Di Leo, P.; Zarezadeh, Z.; Ferrazzano, G.; Ruoppolo, G.; Berardelli, A.; Costantini, G.

A random forest algorithm to improve the Lee–Carter mortality forecasting: impact on q-forward

2020 - SOFT COMPUTING
Levantesi, S.; Nigri, A.

Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis

2020 - PLOS ONE
Seccia, R.; Gammelli, D.; Dominici, F.; Romano, S.; Landi, A. C.; Salvetti, M.; Tacchella, A.; Zaccaria, A.; Crisanti, A.; Grassi, F.; Palagi, L.

Essential oils against bacterial isolates from cystic fibrosis patients by means of antimicrobial and unsupervised machine learning approaches

2020 - SCIENTIFIC REPORTS
Ragno, Rino; Papa, Rosanna; Patsilinakos, Alexandros; Vrenna, Gianluca; Garzoli, Stefania; VanessaTuccio, ; Fiscarelli, ErsiliaVita; Selan, Laura; MarcoArtini,

Machine learning-based classification of vector vortex beams

2020 - PHYSICAL REVIEW LETTERS
Giordani, Taira; Suprano, Alessia; Polino, Emanuele; Acanfora, Francesca; Innocenti, Luca; Ferraro, Alessandro; Paternostro, Mauro; Spagnolo, Nicolò; Sciarrino, Fabio

Experimental data based machine learning classification models with predictive ability to select in vitro active antiviral and non-toxic essential oils

2020 - MOLECULES
Sabatino, M.; Fabiani, M.; Božović, M.; Garzoli, S.; Antonini, L.; Marcocci, M. E.; Palamara, A. T.; De Chiara, G.; Ragno, R.

Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities

2020 - JOURNAL OF MANUFACTURING SYSTEMS
Quatrini, Elena; Costantino, Francesco; Di Gravio, Giulio; Patriarca, Riccardo

AndroDFA: Android Malware Classification Based on Resource Consumption

2020 - INFORMATION
Massarelli, Luca; Aniello, Leonardo; Ciccotelli, Claudio; Querzoni, Leonardo; Ucci, Daniele; Baldoni, Roberto

Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers

2020 - SCIENTIFIC REPORTS
Agliari, E.; Barra, A.; Barra, O. A.; Fachechi, A.; Franceschi Vento, L.; Moretti, L.

Adherence to Vaccination Policy among Public Health Professionals. Results of a National Survey in Italy

2020 - VACCINES
Montagna, Maria Teresa; De Giglio, Osvalda; Napoli, Christian; Fasano, Fabrizio; Diella, Giusy; Donnoli, Rosalba; Caggiano, Giuseppina; Tafuri, Silvio; Lopalco, Pier Luigi; Agodi, Antonella; Gisio-SItI Working Group, Null

Advanced sound classifiers and performance analyses for accurate audio-based construction project monitoring

2020 - JOURNAL OF COMPUTING IN CIVIL ENGINEERING
Lee, Y. -C.; Scarpiniti, M.; Uncini, A.

A generalized framework for ANFIS synthesis procedures by clustering techniques

2020 - APPLIED SOFT COMPUTING
Leonori, Stefano; Martino, Alessio; Luzi, Massimiliano; Frattale Mascioli, Fabio Massimo; Rizzi, Antonello

A Hierarchical Machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification

2020 - REMOTE SENSING
Teruggi, Simone; Grilli, Eleonora; Russo, Michele; Fassi, Francesco; Remondino, Fabio

Predicting lorawan behavior. How machine learning can help

2020 - COMPUTERS
Cuomo, F.; Garlisi, D.; Martino, A.; Martino, A.

Open data and energy analytics

2020 - ENERGIES
Nastasi, B.; Manfren, M.; Noussan, M.

Digital epigraphy. Tra automazione e singolarizzazione

2020 - LEXICON PHILOSOPHICUM
Orlandi, Silvia

Living optical random neural network with three dimensional tumor spheroids for cancer morphodynamics

2020 - COMMUNICATIONS PHYSICS
Pierangeli, D.; Palmieri, V.; Marcucci, G.; Moriconi, C.; Perini, G.; De Spirito, M.; Papi, M.; Conti, C.

Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons

2020 - PHYSICAL REVIEW LETTERS
Marcucci, G.; Pierangeli, D.; Conti, C.

How to improve compliance with protective health measures during the covid-19 outbreak. Testing a moderated mediation model and machine learning algorithms

2020 - INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
Roma, P.; Monaro, M.; Muzi, L.; Colasanti, M.; Ricci, E.; Biondi, S.; Napoli, C.; Ferracuti, S.; Mazza, C.

Fault diagnosis of a granulator operating under time-varying conditions using canonical variate analysis

2020 - ENERGIES
Quatrini, E.; Li, X.; Mba, D.; Costantino, F.

The Importance of Economic Variables on London Real Estate Market: A Random Forest Approach

2020 - RISKS
Levantesi, Susanna; Piscopo, Gabriella

Preliminary attempt to predict risk of invasive pulmonary aspergillosis in patients with influenza. Decision trees may help?

2020 - ANTIBIOTICS
Bellelli, V.; Siccardi, G.; Conte, L.; Celani, L.; Congeduti, E.; Borrazzo, C.; Santinelli, L.; Innocenti, G. P.; Pinacchio, C.; Ceccarelli, G.; Venditti, M.; D'ettorre, G.

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