Massimo Buscema Coauthor index DBLP Vis pubzone.org

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DBLP keys2008
7Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLSilvana Penco, Massimo Buscema, Maria Cristina Patrosso, Alessandro Marocchi, Enzo Grossi: New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background. BMC Bioinformatics 9: (2008)
6Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMassimo Buscema, Enzo Grossi: The semantic connectivity map: an adapting self-organising knowledge discovery method in data bases. Experience in gastro-oesophageal reflux disease. IJDMB 2(4): 362-404 (2008)
2007
5Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLDirk Mayer, Adam Maciak, Thomas Rösler, Tim Keszler, Heiner Faber, Massimo Buscema, Marco Mattiuzzi, T. W. Vomweg: Vollautomatisierte Tumordiagnose in der dynamischen MRT der weiblichen Brust. Bildverarbeitung für die Medizin 2007: 86-90
4Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMassimo Buscema: A novel adapting mapping method for emergent properties discovery in data bases: experience in medical field. SMC 2007: 3457-3463
3Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMassimo Buscema, Paolo Rossini, Claudio Babiloni, Enzo Grossi: The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy. Artificial Intelligence in Medicine 40(2): 127-141 (2007)
2005
2Electronic Edition pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLMassimo Buscema, Enzo Grossi, M. Intraligi, N. Garbagna, A. Andriulli, M. Breda: 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 treatment. Artificial Intelligence in Medicine 34(3): 279-305 (2005)
2002
1no EE pubzone.org CiteSeerX Google scholar BibTeX bibliographical record in XMLM. C. Grassi, A. M. Caricati, M. Intraligi, Massimo Buscema, P. Nencini: Artificial neural network assessment of substitutive pharmacological treatments in hospitalised intravenous drug users. Artificial Intelligence in Medicine 24(1): 37-49 (2002)

Coauthor Index

1A. Andriulli [2]
2Claudio Babiloni [3]
3M. Breda [2]
4A. M. Caricati [1]
5Heiner Faber [5]
6N. Garbagna [2]
7M. C. Grassi [1]
8Enzo Grossi [2] [3] [6] [7]
9M. Intraligi [1] [2]
10Tim Keszler [5]
11Adam Maciak [5]
12Alessandro Marocchi [7]
13Marco Mattiuzzi [5]
14Dirk Mayer [5]
15P. Nencini [1]
16Maria Cristina Patrosso [7]
17Silvana Penco [7]
18Thomas Rösler [5]
19Paolo Rossini [3]
20T. W. Vomweg [5]

Colors in the list of coauthors

Copyright © Tue Dec 8 16:10:42 2009 by Michael Ley (ley@uni-trier.de)