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DE NICOLAO, GIUSEPPE

DE NICOLAO, GIUSEPPE  

DIPARTIMENTO DI INGEGNERIA INDUSTRIALE E DELL'INFORMAZIONE  

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Risultati 1 - 20 di 319 (tempo di esecuzione: 0.01 secondi).
Titolo Data di pubblicazione Autore(i) File
A Bayesian approach to non-parametric AUC estimation in population studies 1-gen-2003 Magni, Paolo; Bellazzi, Riccardo; DE NICOLAO, Giuseppe; Simeoni, Monica; Germani, MASSIMILIANO ENRICO; I., Poggesi; M., Rocchetti
A Bayesian nonparametric approach to AUC determination in population studies 1-gen-2000 Magni, Paolo; Bellazzi, Riccardo; DE NICOLAO, Giuseppe; M., Rocchetti; I., Poggesi
A collision risk assessment approach as a basis for the on-board warning generation in cars 1-gen-2002 DE NICOLAO, Giuseppe; Ferrara, Antonella; L., Giacomini
A hidden-Gamma model-based filtering and prediction approach for monotonic health factors in manufacturing 1-gen-2018 Susto G., A; Schirru, Andrea; Pampuri, Simone; S., and Beghi; Nicolao, De
A Kalman filtering algorithm for regularization networks 1-gen-2000 DE NICOLAO, Giuseppe; FERRARI TRECATE, Giancarlo
A letter on Ancaiani et al. ‘Evaluating scientific research in Italy: the 2004-10 research evaluation exercise’ 1-gen-2017 Baccini, Alberto; DE NICOLAO, Giuseppe
A mathematical model to study the effects of drugs administration on tumor growth dynamics 1-gen-2006 Magni, Paolo; Simeoni, Monica; I., Poggesi; M., Rocchetti; DE NICOLAO, Giuseppe
A minimal model describing the effect of drug administration on tumor growth dynamics 1-gen-2006 DE NICOLAO, Giuseppe; Magni, Paolo; G., Bianchini; M., Germani; M., Simeoni; I., Poggesi; M., Rocchetti
A Minimal Model of Tumor Growth Inhibition in Combination Regimens under the Hypothesis of no Interaction between Drugs 1-gen-2012 Magni, Paolo; Terranova, Nadia; DEL BENE, Francesca; Germani, MASSIMILIANO ENRICO; DE NICOLAO, Giuseppe
A mininal model of tumor growth inhibition 1-gen-2008 Magni, Paolo; M., Germani; DE NICOLAO, Giuseppe; G., Bianchini; M., Simeoni; I., Poggesi; M., Rocchetti
A model based approach to the in vitro evaluation of anticancer activity 1-gen-2009 DEL BENE, Francesca; Germani, MASSIMILIANO ENRICO; DE NICOLAO, Giuseppe; Magni, Paolo; C., Re; D., Ballinari; M., Rocchetti
A multi-task learning approach for the extraction of single-trial evoked potentials 1-gen-2013 D'Avanzo, C.; Goljahani, A.; Pillonetto, G.; DE NICOLAO, Giuseppe; Sparacino, G.
A multi-task learning method for the single-trial estimation of cognitive evoked potentials 1-gen-2010 D’Avanzo, C.; Goljahani, A.; Schiavon, A.; DE NICOLAO, Giuseppe; Sparacino, G.
A new kernel-based approach for linear system identification 1-gen-2010 G., Pillonetto; DE NICOLAO, Giuseppe
A new kernel-based approach for system identification 1-gen-2008 DE NICOLAO, Giuseppe; G., Pillonetto
A New Neural Network Approach for Short-Term Glucose Prediction Using Continuous Glucose Monitoring Time-Series and Meal Information 1-gen-2011 Zecchin, Chiara; Facchinetti, Andrea; Sparacino, Giovanni; DE NICOLAO, Giuseppe; Cobelli, Claudio
A new neural network approach for short-term glucose prediction using continuous glucose monitoring time-series and meal information. 1-gen-2011 C., Zecchin; A., Facchinetti; G., Sparacino; DE NICOLAO, Giuseppe; C., Cobelli
A new statistical algorithmm to enhance volume diagnostic effectiveness and accuracy 1-gen-2006 DE NICOLAO, Giuseppe; Chieppi, Daniela; P., Amato; D., Appello; K., Giarda
A new, second-order indirect model of depression time course 1-gen-2012 Russu, Alberto; Marostica, Eleonora; S., Zamuner; I., Poggesi; R., Gomeni; DE NICOLAO, Giuseppe
A nonparametric approach for model individualization in an artificial pancreas 1-gen-2015 Messori, Mirko; Toffanin, Chiara; Del Favero, S.; DE NICOLAO, Giuseppe; Cobelli, C.; Magni, Lalo