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Marco Muselli

Showing results (1-10 of 30) with videos related to

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IEEE Transactions on Neural Networks|September 24, 2004
Deterministic design for neural network learning: an approach based on discrepancyCristiano Cervellera, Marco Muselli
Artificial Intelligence in Medicine|September 16, 2008
Evaluating switching neural networks through artificial and real gene expression dataMarco Muselli, Massimiliano Costacurta, Francesca Ruffino
BMC Bioinformatics|October 7, 2008
Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experimentsStefano Parodi, Vito Pistoia, Marco Muselli
Neural Networks : the Official Journal of the International Neural Network Society|April 21, 2010
Efficient global maximum likelihood estimation through kernel methodsCristiano Cervellera, Danilo Macciò, Marco Muselli
Journal of the National Cancer Institute|February 3, 2005
Re: The central role of receiver operating characteristic (ROC) curves in evaluating tests for the early detection of cancerStefano Parodi, Alberto Izzotti, Marco Muselli
IEEE Transactions on Neural Networks|August 15, 2008
Deterministic learning for maximum-likelihood estimation through neural networksCristiano Cervellera, Danilo Macciò, Marco Muselli
International Journal of Molecular Medicine|July 29, 2003
Alternative splicing of the human estrogen receptor alpha primary transcript: mechanisms of exon skippingPaola Ferro, Alessandra Forlani, Marco Muselli, et al.
BMC Bioinformatics|November 24, 2019
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methodsDamiano Verda, Stefano Parodi, Enrico Ferrari, et al.
Epidemiology and Health|October 20, 2022
The clinical meaning of the area under a receiver operating characteristic curve for the evaluation of the performance of disease markersStefano Parodi, Damiano Verda, Francesca Bagnasco, et al.
Journal of Gambling Studies|March 4, 2017
Identifying Environmental and Social Factors Predisposing to Pathological Gambling Combining Standard Logistic Regression and Logic Learning MachineStefano Parodi, Corrado Dosi, Antonella Zambon, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks|September 24, 2004
Deterministic design for neural network learning: an approach based on discrepancyCristiano Cervellera, Marco Muselli
Artificial Intelligence in Medicine|September 16, 2008
Evaluating switching neural networks through artificial and real gene expression dataMarco Muselli, Massimiliano Costacurta, Francesca Ruffino
BMC Bioinformatics|October 7, 2008
Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experimentsStefano Parodi, Vito Pistoia, Marco Muselli
Neural Networks : the Official Journal of the International Neural Network Society|April 21, 2010
Efficient global maximum likelihood estimation through kernel methodsCristiano Cervellera, Danilo Macciò, Marco Muselli
Journal of the National Cancer Institute|February 3, 2005
Re: The central role of receiver operating characteristic (ROC) curves in evaluating tests for the early detection of cancerStefano Parodi, Alberto Izzotti, Marco Muselli
IEEE Transactions on Neural Networks|August 15, 2008
Deterministic learning for maximum-likelihood estimation through neural networksCristiano Cervellera, Danilo Macciò, Marco Muselli
International Journal of Molecular Medicine|July 29, 2003
Alternative splicing of the human estrogen receptor alpha primary transcript: mechanisms of exon skippingPaola Ferro, Alessandra Forlani, Marco Muselli, et al.
BMC Bioinformatics|November 24, 2019
Analyzing gene expression data for pediatric and adult cancer diagnosis using logic learning machine and standard supervised methodsDamiano Verda, Stefano Parodi, Enrico Ferrari, et al.
Epidemiology and Health|October 20, 2022
The clinical meaning of the area under a receiver operating characteristic curve for the evaluation of the performance of disease markersStefano Parodi, Damiano Verda, Francesca Bagnasco, et al.
Journal of Gambling Studies|March 4, 2017
Identifying Environmental and Social Factors Predisposing to Pathological Gambling Combining Standard Logistic Regression and Logic Learning MachineStefano Parodi, Corrado Dosi, Antonella Zambon, et al.
Pageof 3