Marco Breda

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Paolo Massimo Buscema

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Publications

2023
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Massimo Buscema, Masoud Asadi-Zeydabadi, Giulia Massini, Weldon A. Lodwick, Marco Breda, Riccardo Petritoli, Francis Newman, Francesca Della Torre:
The Topological Weighted Centroid: A New Vision of Geographic Profiling - Theory and Applications. Studies in Computational Intelligence 1095, Springer 2023, ISBN 978-3-031-28900-2, pp. 1-166
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Paolo Massimo Buscema, Giulia Massini, Giovanbattista Raimondi, Giuseppe Caporaso, Marco Breda, Riccardo Petritoli:
A Pattern Recognition Analysis of Vessel Trajectories. Algorithms 16(9): 414 (2023)
2020
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Paolo Massimo Buscema, Enzo Grossi, Giulia Massini, Marco Breda, Francesca Della Torre:
Computer Aided Diagnosis for atrial fibrillation based on new artificial adaptive systems. Comput. Methods Programs Biomed. 191: 105401 (2020)
2018
[j4]
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Paolo Massimo Buscema, Giulia Massini, Marco Fabrizi, Marco Breda, Francesca Della Torre:
The ANNS approach to DEM reconstruction. Comput. Intell. 34(1): 310-344 (2018)
2015
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  - journals/artmed/BuscemaVMSBRG15
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Paolo Massimo Buscema, Fabrizio Vernieri, Giulia Massini, Federica Scrascia, Marco Breda, Paolo Maria Rossini, Enzo Grossi:
An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features. Artif. Intell. Medicine 64(1): 59-74 (2015)
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Paolo Massimo Buscema, Pier Luigi Sacco, Guido Ferilli, Marco Breda, Enzo Grossi:
Analyzing the Semantics of Point Spaces through the Topological Weighted Centroid and Other Mathematical Quantities: The Hidden Geometry of the Global Economic Order. Comput. Intell. 31(3): 532-567 (2015)
2005
[j1]
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Paolo Massimo Buscema, Enzo Grossi, Marco Intraligi, N. Garbagna, Angelo Andriulli, Marco 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. Artif. Intell. Medicine 34(3): 279-305 (2005)

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