Risultati ricerca pubblicazioni

Predicting lorawan behavior. How machine learning can help

pubblicato su: COMPUTERS - 2020
Cuomo F., Garlisi D., Martino A., Martino A.

Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction

pubblicato su: SOFT COMPUTING - 2020
Di Noia Antonio., Martino Alessio., Montanari Paolo., Rizzi Antonello

The relationship between maladaptive personality functioning and problematic technology use in adolescence: a cluster analysis approach

pubblicato su: SCANDINAVIAN JOURNAL OF PSYCHOLOGY - 2020
Amendola Simone, Spensieri Valentina, Biuso Giuseppe Stefano, Cerutti Rita

Profiling the acute effects of modified risk products. Evidence from the SUR-VAPES (Sapienza University of Rome-Vascular Assessment of Proatherosclerotic Effects of Smoking) cluster study

pubblicato su: CURRENT ATHEROSCLEROSIS REPORTS - 2020
Frati G., Carnevale R., Nocella C., Peruzzi M., Marullo A. G. M., De Falco E., Chimenti I., Cammisotto V., Valenti V., Cavarretta E., Carrizzo A., Versaci F., Vitali M., Protano C., Roever L., Giordano A., Sciarretta S., Biondi-Zoccai G.

Chemometric Approach to a Rapid Attenuated Total Reflection Fourier Transform Infrared Analysis of Complex Heroin-Based Mixtures

pubblicato su: APPLIED SPECTROSCOPY - 2020
Stevanović Nataša Radosavljević, Jovanović Milena, Marini Federico, Ražić Slavica

Heterogeneity in the demand-growth relationship at the firm level. The role of demand sources and innovation/knowledge characteristics

pubblicato su: ECONOMICS OF INNOVATION AND NEW TECHNOLOGY - 2020
Caravella Serenella., Crespi Francesco, Guarascio Dario, Tubiana Matteo

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma