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Massimo Buscema

Showing results (1-10 of 69) with videos related to

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Substance Use & Misuse|September 13, 2015
Why Mathematical Computer Simulations Are the New Laboratory for ScientistsMassimo Buscema
Substance Use & Misuse|August 16, 2002
A brief overview and introduction to artificial neural networksMassimo Buscema
International Journal of Data Mining and Bioinformatics|February 17, 2009
The semantic connectivity map: an adapting self-organising knowledge discovery method in data bases. Experience in gastro-oesophageal reflux diseaseMassimo Buscema, Enzo Grossi
European Journal of Gastroenterology & Hepatology|November 14, 2007
Introduction to artificial neural networksEnzo Grossi, Massimo Buscema
The Behavioral and Brain Sciences|January 19, 2018
Digging deeper on "deep" learning: A computational ecology approachMassimo Buscema, Pier Luigi Sacco
Neurology Research International|August 31, 2012
A Novel Mathematical Approach to Define the Genes/SNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Graph TheoryMassimo Buscema, Silvana Penco, Enzo Grossi
Clinical EEG and Neuroscience|December 22, 2020
Detection of an Autism EEG Signature From Only Two EEG Channels Through Features Extraction and Advanced Machine Learning AnalysisEnzo Grossi, Giovanni Valbusa, Massimo Buscema
Computer Methods and Programs in Biomedicine|March 23, 2017
Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot studyEnzo Grossi, Chiara Olivieri, Massimo Buscema
Substance Use & Misuse|July 16, 2014
Artificial Neural Networks: an overview and their use in the analysis of the AMPHORA-3 datasetPaolo Massimo Buscema, Giulia Massini, Guido Maurelli
Artificial Intelligence in Medicine|May 1, 2007
The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracyMassimo Buscema, Paolo Rossini, Claudio Babiloni, et al.
Pageof 7

Showing results (1-10 of 69) with videos related to

Sort By:
Pageof 7
Substance Use & Misuse|September 13, 2015
Why Mathematical Computer Simulations Are the New Laboratory for ScientistsMassimo Buscema
Substance Use & Misuse|August 16, 2002
A brief overview and introduction to artificial neural networksMassimo Buscema
International Journal of Data Mining and Bioinformatics|February 17, 2009
The semantic connectivity map: an adapting self-organising knowledge discovery method in data bases. Experience in gastro-oesophageal reflux diseaseMassimo Buscema, Enzo Grossi
European Journal of Gastroenterology & Hepatology|November 14, 2007
Introduction to artificial neural networksEnzo Grossi, Massimo Buscema
The Behavioral and Brain Sciences|January 19, 2018
Digging deeper on "deep" learning: A computational ecology approachMassimo Buscema, Pier Luigi Sacco
Neurology Research International|August 31, 2012
A Novel Mathematical Approach to Define the Genes/SNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Graph TheoryMassimo Buscema, Silvana Penco, Enzo Grossi
Clinical EEG and Neuroscience|December 22, 2020
Detection of an Autism EEG Signature From Only Two EEG Channels Through Features Extraction and Advanced Machine Learning AnalysisEnzo Grossi, Giovanni Valbusa, Massimo Buscema
Computer Methods and Programs in Biomedicine|March 23, 2017
Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot studyEnzo Grossi, Chiara Olivieri, Massimo Buscema
Substance Use & Misuse|July 16, 2014
Artificial Neural Networks: an overview and their use in the analysis of the AMPHORA-3 datasetPaolo Massimo Buscema, Giulia Massini, Guido Maurelli
Artificial Intelligence in Medicine|May 1, 2007
The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracyMassimo Buscema, Paolo Rossini, Claudio Babiloni, et al.
Pageof 7