Sfoglia per Titolo
Machine Learning techniques to shape Intelligent Human-Centered Cyber-Physical Systems
2022-02-21 Cicceri, Giovanni
Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer
2021-01-01 Imbalzano, Egidio; Orlando, Luana; Sciacqua, Angela; Nato, Giuseppe; Dentali, Francesco; Nassisi, Veronica; Russo, Vincenzo; Camporese, Giuseppe; Bagnato, Gianluca; Cicero, Arrigo F. G.; Dattilo, Giuseppe; Vatrano, Marco; Versace, Antonio Giovanni; Squadrito, Giovanni; Micco., Pierpaolo Di
Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review
2023-01-01 Bibbo, D.; De Marchis, C.; Schmid, M.; Ranaldi, S.
Machine learning to predict major bleeding during anticoagulation for venous thromboembolism: possibilities and limitations
2023-01-01 Damián, Mora; Jorge, Mateo; Nieto, José A.; Behnood, Bikdeli; Yugo, Yamashita; Stefano, Barco; David, Jimenez; Pablo, Demelo-Rodriguez; Vladimir, Rosa; Hugo Hyung Bok Yoo, ; Parham, Sadeghipour; Manuel, Monreal; Imbalzano, Egidio
A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis
2019-01-01 Mezzatesta, Sabrina; Torino, Claudia; De Meo, P.; Fiumara, G.; Vilasi, A.
A machine learning-based predictive model for risk assessment in airport areas
2021-01-01 Gugliandolo, G.; Caccamo, M. T.; Castorina, G.; Chillemi, D. L.; Famoso, F.; Munao', G.; Raffaele, M.; Schifilliti, V.; Semprebello, A.; Magazu, S.
Machine milking impact on dairy cows’ physiological adjustment: an observational approach according to different breed
2015-01-01 Fazio, Esterina; Medica, Pietro; Cravana, Cristina; Ferlazzo, Adriana
MACHINE MILKING OF DAIRY ASSES AS RELATED TO MILK PRODUCTION AND BODY CONDITION.
2006-01-01 Salimei, E; Maglieri, C; Polidori, M; Socci, R; Chiofalo, Biagina; Gambacorta, M; Varisco, G.
Machine-learning-aided improvement of mechanics-based code-conforming shear capacity equation for RC elements with stirrups
2022-01-01 Quaranta, G.; De Domenico, D.; Monti, G.
Machine-learning-enhanced variable-angle truss model to predict the shear capacity of RC elements with transverse reinforcement
2022-01-01 De Domenico, D.; Quaranta, G.; Zeng, Q.; Monti, G.
Machine-readable Descriptive Structures to Study Medieval South Slavic Scriptoria and Scribes
2022-01-01 Paneva-Marinova, Desislava; Scarpa, Marco; Riparante, Marta; Goynov, Maxim; Luchev, Detelin; Pavlova, Lilia; Zlatkov, Lubomir
Macht und Ethnizität in der 'Kjalnesinga saga'
2020-01-01 LOZZI GALLO, Lorenzo
Macrina Marilena Maffei, La maga e il velo. Incantesimi, riti e poteri del mondo magico eoliano, Cisu, Roma 2021, pp. 384
2021-01-01 Geraci, M.
Macro news and bond yield spreads in the euro area
2018-01-01 Maria Caporale, Guglielmo; Spagnolo, Fabio; Spagnolo, Nicola
Macro News and Commodity Returns
2017-01-01 Maria Caporale, Guglielmo; Spagnolo, Fabio; Spagnolo, Nicola
Macro news and exchange rates in the BRICS
2017-01-01 Maria Caporale, Guglielmo; Spagnolo, Fabio; Spagnolo, Nicola
Macro news and stock returns in the Euro area: A VAR-GARCH-in-mean analysis
2016-01-01 Maria Caporale, Guglielmo; Spagnolo, Fabio; Spagnolo, Nicola
Macro- and microdefinitions of fragility of hydrogen-bonded glass-forming liquids
2006-01-01 Blazhnov, Iv; Magazu', Salvatore; Maisano, Giacomo; Malomuzh, Np; Migliardo, Federica
The Macro-Autophagy-Related Protein Beclin-1 Immunohistochemical Expression Correlates With Tumor Cell Type and Clinical Behavior of Uveal Melanoma
2020-01-01 Broggi, G.; Ieni, A.; Russo, D.; Varricchio, S.; Puzzo, L.; Russo, A.; Reibaldi, M.; Longo, A.; Tuccari, G.; Staibano, S.; Caltabiano, R.
Macro-porous permeability aspects of MgSO4 salt hydrate foams for energy storage applications
2022-01-01 Calabrese, L.; Hernandez, L.; Mondragon, R.; Cabeza, L. F.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Machine Learning techniques to shape Intelligent Human-Centered Cyber-Physical Systems | 21-feb-2022 | Cicceri, Giovanni | |
| Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer | 1-gen-2021 | Imbalzano, Egidio; Orlando, Luana; Sciacqua, Angela; Nato, Giuseppe; Dentali, Francesco; Nassisi, Veronica; Russo, Vincenzo; Camporese, Giuseppe; Bagnato, Gianluca; Cicero, Arrigo F. G.; Dattilo, Giuseppe; Vatrano, Marco; Versace, Antonio Giovanni; Squadrito, Giovanni; Micco., Pierpaolo Di | |
| Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review | 1-gen-2023 | Bibbo, D.; De Marchis, C.; Schmid, M.; Ranaldi, S. | |
| Machine learning to predict major bleeding during anticoagulation for venous thromboembolism: possibilities and limitations | 1-gen-2023 | Damián, Mora; Jorge, Mateo; Nieto, José A.; Behnood, Bikdeli; Yugo, Yamashita; Stefano, Barco; David, Jimenez; Pablo, Demelo-Rodriguez; Vladimir, Rosa; Hugo Hyung Bok Yoo, ; Parham, Sadeghipour; Manuel, Monreal; Imbalzano, Egidio | |
| A machine learning-based approach for predicting the outbreak of cardiovascular diseases in patients on dialysis | 1-gen-2019 | Mezzatesta, Sabrina; Torino, Claudia; De Meo, P.; Fiumara, G.; Vilasi, A. | |
| A machine learning-based predictive model for risk assessment in airport areas | 1-gen-2021 | Gugliandolo, G.; Caccamo, M. T.; Castorina, G.; Chillemi, D. L.; Famoso, F.; Munao', G.; Raffaele, M.; Schifilliti, V.; Semprebello, A.; Magazu, S. | |
| Machine milking impact on dairy cows’ physiological adjustment: an observational approach according to different breed | 1-gen-2015 | Fazio, Esterina; Medica, Pietro; Cravana, Cristina; Ferlazzo, Adriana | |
| MACHINE MILKING OF DAIRY ASSES AS RELATED TO MILK PRODUCTION AND BODY CONDITION. | 1-gen-2006 | Salimei, E; Maglieri, C; Polidori, M; Socci, R; Chiofalo, Biagina; Gambacorta, M; Varisco, G. | |
| Machine-learning-aided improvement of mechanics-based code-conforming shear capacity equation for RC elements with stirrups | 1-gen-2022 | Quaranta, G.; De Domenico, D.; Monti, G. | |
| Machine-learning-enhanced variable-angle truss model to predict the shear capacity of RC elements with transverse reinforcement | 1-gen-2022 | De Domenico, D.; Quaranta, G.; Zeng, Q.; Monti, G. | |
| Machine-readable Descriptive Structures to Study Medieval South Slavic Scriptoria and Scribes | 1-gen-2022 | Paneva-Marinova, Desislava; Scarpa, Marco; Riparante, Marta; Goynov, Maxim; Luchev, Detelin; Pavlova, Lilia; Zlatkov, Lubomir | |
| Macht und Ethnizität in der 'Kjalnesinga saga' | 1-gen-2020 | LOZZI GALLO, Lorenzo | |
| Macrina Marilena Maffei, La maga e il velo. Incantesimi, riti e poteri del mondo magico eoliano, Cisu, Roma 2021, pp. 384 | 1-gen-2021 | Geraci, M. | |
| Macro news and bond yield spreads in the euro area | 1-gen-2018 | Maria Caporale, Guglielmo; Spagnolo, Fabio; Spagnolo, Nicola | |
| Macro News and Commodity Returns | 1-gen-2017 | Maria Caporale, Guglielmo; Spagnolo, Fabio; Spagnolo, Nicola | |
| Macro news and exchange rates in the BRICS | 1-gen-2017 | Maria Caporale, Guglielmo; Spagnolo, Fabio; Spagnolo, Nicola | |
| Macro news and stock returns in the Euro area: A VAR-GARCH-in-mean analysis | 1-gen-2016 | Maria Caporale, Guglielmo; Spagnolo, Fabio; Spagnolo, Nicola | |
| Macro- and microdefinitions of fragility of hydrogen-bonded glass-forming liquids | 1-gen-2006 | Blazhnov, Iv; Magazu', Salvatore; Maisano, Giacomo; Malomuzh, Np; Migliardo, Federica | |
| The Macro-Autophagy-Related Protein Beclin-1 Immunohistochemical Expression Correlates With Tumor Cell Type and Clinical Behavior of Uveal Melanoma | 1-gen-2020 | Broggi, G.; Ieni, A.; Russo, D.; Varricchio, S.; Puzzo, L.; Russo, A.; Reibaldi, M.; Longo, A.; Tuccari, G.; Staibano, S.; Caltabiano, R. | |
| Macro-porous permeability aspects of MgSO4 salt hydrate foams for energy storage applications | 1-gen-2022 | Calabrese, L.; Hernandez, L.; Mondragon, R.; Cabeza, L. F. |
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