Massimo Buscema - researchr alias

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Viewing Publication 1 - 20 from 20

2023

The Topological Weighted Centroid: A New Vision of Geographic Profiling - Theory and ApplicationsMassimo Buscema, Masoud Asadi-Zeydabadi, Giulia Massini, Weldon A. Lodwick, Marco Breda, Riccardo Petritoli, Francis Newman, Francesca Della Torre. Volume 1095 of Studies in Computational Intelligence, Springer, 2023. [doi]

2018

Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machine-learning workflowMichael J. Friedel, Massimo Buscema, Luiz Eduardo Vicente, Fabio Iwashita, Andréa Koga-Vicente. digearth, 11(7):670-690, 2018. [doi]

2017

Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot studyEnzo Grossi, Chiara Olivieri, Massimo Buscema. cmpb, 142:73-79, 2017. [doi]

2016

Top corporate brands and the global structure of country brand positioning: An AutoCM ANN approachGuido Ferilli, Pier Luigi Sacco, Emanuele Teti, Massimo Buscema. eswa, 66:62-75, 2016. [doi]

2015

2013

Escherichia coli OutbreakMassimo Buscema, Enzo Grossi, Alvin Bronstein, Weldon A. Lodwick, Masoud Asadi-Zeydabadi, Roberto Benzi, Francis Newman. ijgi, 2(1):155-200, 2013. [doi]

2012

Similarity Coefficients for Binary Chemoinformatics Data: Overview and Extended Comparison Using Simulated and Real Data SetsRoberto Todeschini, Viviana Consonni, Hua Xiang, John D. Holliday, Massimo Buscema, Peter Willett 0002. jcisd, 52(11):2884-2901, 2012. [doi]

2008

The semantic connectivity map: an adapting self-organising knowledge discovery method in data bases. Experience in gastro-oesophageal reflux diseaseMassimo Buscema, Enzo Grossi. ijdmb, 2(4):362-404, 2008. [doi]

New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroundSilvana Penco, Massimo Buscema, Maria Cristina Patrosso, Alessandro Marocchi, Enzo Grossi. bmcbi, 9, 2008. [doi]

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, Enzo Grossi. artmed, 40(2):127-141, 2007. [doi]

A novel adapting mapping method for emergent properties discovery in data bases: experience in medical fieldMassimo Buscema. SMC 2007: 3457-3463 [doi]

The Implicit Function as Squashing Time Model: A Novel Parallel Nonlinear EEG Analysis Technique Distinguishing Mild Cognitive Impairment and Alzheimer's Disease Subjects with High Degree of AccuracyMassimo Buscema, Massimiliano Capriotti, Francesca Bergami, Claudio Babiloni, Paolo Maria Rossini, Enzo Grossi. cin, 2007, 2007. [doi]

Vollautomatisierte Tumordiagnose in der dynamischen MRT der weiblichen BrustDirk Mayer, Adam Maciak, Thomas Rösler, Tim Keszler, Heiner Faber, Massimo Buscema, Marco Mattiuzzi, T. W. Vomweg. bildmed 2007: 86-90 [doi]

2005

An optimized experimental protocol based on neuro-evolutionary algorithms: Application to the classification of dyspeptic patients and to the prediction of the effectiveness of their treatmentMassimo Buscema, Enzo Grossi, M. Intraligi, N. Garbagna, A. Andriulli, M. Breda. artmed, 34(3):279-305, 2005. [doi]

2004

Genetic doping algorithm (GenD): theory and applicationsMassimo Buscema. es, 21(2):63-79, 2004. [doi]

Artificial neural networks and artificial organisms can predict alzheimer pathology in individual patients only on the basis of cognitive and functional statusMassimo Buscema, Enzo Grossi, David Snowdon, Piero Antuono, Marco Intraligi, Guido Maurelli, Rita Savarè. ni, 2(4):399-415, 2004. [doi]

2002

Artificial neural network assessment of substitutive pharmacological treatments in hospitalised intravenous drug usersM. C. Grassi, A. M. Caricati, M. Intraligi, Massimo Buscema, P. Nencini. artmed, 24(1):37-49, 2002.

2000

Feedforward networks in financial predictions: the future that modifies the presentMassimo Buscema, Pier Luigi Sacco. es, 17(3):149-170, 2000. [doi]

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