Risultati ricerca pubblicazioni

AndroDFA: Android Malware Classification Based on Resource Consumption

pubblicato su: INFORMATION - 2020

Massarelli Luca, Aniello Leonardo, Ciccotelli Claudio, Querzoni Leonardo, Ucci Daniele, Baldoni Roberto

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

pubblicato su: SCIENTIFIC REPORTS - 2020

Ragno Rino, Papa Rosanna, Patsilinakos Alexandros, Vrenna Gianluca, Garzoli Stefania, VanessaTuccio, Fiscarelli ErsiliaVita, Selan Laura, MarcoArtini

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

pubblicato su: MOLECULES - 2020

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

Going beyond diffServ in IP traffic classification

pubblicato su: NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium - 2020

Aureli Davide, Cianfrani Antonio, Diamanti Alessio, Sanchez Vilchez Jose Manuel, Secci Stefano

Predicting lorawan behavior. How machine learning can help

pubblicato su: COMPUTERS - 2020

Cuomo F., Garlisi D., Martino A., Martino A.

A generalized framework for ANFIS synthesis procedures by clustering techniques

pubblicato su: APPLIED SOFT COMPUTING - 2020

Leonori Stefano, Martino Alessio, Luzi Massimiliano, Frattale Mascioli Fabio Massimo, Rizzi Antonello

Machine Learning for analysis of GPR images and electromagnetic diagnostics

pubblicato su: Proc. URSI GASS 2020 - 2020

Barbuto F., Di Gregorio P. P., Dinia L., Frezza F., Mangini F., Ponti F., Troiano M., Simeoni P.

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

pubblicato su: JOURNAL OF COMPUTING IN CIVIL ENGINEERING - 2020

Lee Y. -C., Scarpiniti M., Uncini A.

Digital epigraphy. Tra automazione e singolarizzazione

pubblicato su: LEXICON PHILOSOPHICUM - 2020

Orlandi Silvia

Facing Big Data by an agent-based multimodal evolutionary approach to classification

pubblicato su: Proceedings of the International Joint Conference on Neural Networks - 2020

Giampieri Mauro, Baldini Luca, De Santis Enrico, Rizzi Antonello

A Critical Reflection on Automated Science

pubblicato su: - 2020

Bertolaso M., Sterpetti F.

Introduction. Human perspectives on the quest for knowledge

pubblicato su: A Critical Reflection on Automated Science - 2020

Bertolaso M., Sterpetti F.

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

pubblicato su: PLOS ONE - 2020

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

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

pubblicato su: VACCINES - 2020

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

Machine-learning analysis of voice samples recorded through smartphones: the combined effect of ageing and gender

pubblicato su: SENSORS - 2020

Asci F., Costantini G., Di Leo P., Zampogna A., Ruoppolo G., Berardelli A., Saggio G., Suppa A.

Essential oils biofilm modulation activity, chemical and machine learning analysis. Application on staphylococcus aureus isolates from cystic fibrosis patients

pubblicato su: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES - 2020

Papa Rosanna, Garzoli Stefania, Vrenna Gianluca, Sabatino Manuela, Sapienza Filippo Umberto, Relucenti Michela, Donfrancesco Orlando, Vita Fiscarelli Ersilia, Artini Marco, Selan Laura, Ragno Rino

Development of a data-driven model for turbulent heat transfer in turbomachinery

pubblicato su: E3S WEB OF CONFERENCES - 2020

Tucci Francesco Aldo, Delibra Giovanni, Corsini Alessandro

Proposal and investigation of an artificial intelligence (Ai)-based cloud resource allocation algorithm in network function virtualization architectures

pubblicato su: FUTURE INTERNET - 2020

Eramo V., Lavacca F. G., Catena T., Salazar P. J. P.

Classification and calibration techniques in predictive maintenance: A comparison between GMM and a custom one-class classifier

pubblicato su: Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: CI4EMS - 2020

De Santis Enrico, Capillo Antonino, Frattale Mascioli Fabio Massimo, Rizzi Antonello

Intelligent energy flow management of a nanogrid fast charging station equipped with second life batteries

pubblicato su: INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS - 2020

Leonori Stefano, Rizzoni Giorgio., Frattale Mascioli Fabio Massimo, Rizzi Antonello

A parallel hardware implementation for 2D hierarchical clustering based on fuzzy logic

pubblicato su: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS - 2020

Cardarilli G. C., Nunzio L. D., Fazzolari R., Panella M., Re M., Rosato A., Spano S.

An energy-aware hardware implementation of 2D hierarchical clustering

pubblicato su: - 2020

Cardarilli G. C., Fazzolari R., Matta M., Panella M., Rosato A., Spano S.

Imputation techniques for the reconstruction of missing interconnected data from higher Educational Institutions

pubblicato su: KNOWLEDGE-BASED SYSTEMS - 2020

Bruni R., Daraio C., Aureli D.

Neural Networks with a Redundant Representation: Detecting the Undetectable

pubblicato su: PHYSICAL REVIEW LETTERS - 2020

Agliari Elena, Alemanno Francesco, Barra Adriano, Centonze Martino, Fachechi Alberto

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

pubblicato su: SCIENTIFIC REPORTS - 2020

Agliari E., Barra A., Barra O. A., Fachechi A., Franceschi Vento L., Moretti L.

Machine learning and statistical physics: preface

pubblicato su: JOURNAL OF PHYSICS. A, MATHEMATICAL AND THEORETICAL - 2020

Agliari E, Barra A, Sollich P, Zdeborova L

Coronavirus disease (COVID-19): a machine learning bibliometric analysis

pubblicato su: IN VIVO - 2020

DE Felice Francesca, Polimeni Antonella

Machine learning and network medicine: a novel approach for precision medicine and personalized therapy in cardiomyopathies

pubblicato su: JOURNAL OF CARDIOVASCULAR MEDICINE - 2020

Infante Teresa, Francone Marco, De Rimini Maria L, Cavaliere Carlo, Canonico Raffaele, Catalano Carlo, Napoli Claudio

Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment

pubblicato su: CHEMICAL BIOLOGY & DRUG DESIGN - 2020

de Albuquerque S., Cianni L., de Vita D., Duque C., Gomes A. S. M., Gomes P., Laughton C., Leitao A., Montanari C. A., Montanari R., Ribeiro J. F. R., da Silva J. S., Teixeira C.

Digital biomarker-based individualized prognosis for people at risk of dementia

pubblicato su: ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING - 2020

Buegler M., Harms R. L., Balasa M., Meier I. B., Exarchos T., Rai L., Boyle R., Tort A., Kozori M., Lazarou E., Rampini M., Cavaliere C., Vlamos P., Tsolaki M., Babiloni C., Soricelli A., Frisoni G., Sanchez-Valle R., Whelan R., Merlo-Pich E., Tarnanas I.

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

pubblicato su: ANTIBIOTICS - 2020

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.