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Paolo Massimo Buscema
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2020 – today
- 2023
- [b1]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 - [j24]Paolo Massimo Buscema
, Giulia Massini, Giovanbattista Raimondi, Giuseppe Caporaso, Marco Breda
A Pattern Recognition Analysis of Vessel Trajectories. Algorithms 16(9): 414 (2023) - [j23]Paolo Massimo Buscema, Guido Ferilli
Toward a precision, complexity-informed cultural policy design: Structural bottlenecks to culture-led development in Skaraborg, Sweden. Commun. Nonlinear Sci. Numer. Simul. 116: 106886 (2023) - 2021
- [j22]Masoud Asadi-Zeydabadi, Paolo Massimo Buscema, Weldon A. Lodwick, Giulia Massini, Francesca Della Torre, Francis Newman:
Analysis of COVID-19 pandemic in USA, using Topological Weighted Centroid. Comput. Biol. Medicine 136: 104670 (2021) - 2020
- [j21]Paolo Massimo Buscema
Analysis of the Ebola Outbreak in 2014 and 2018 in West Africa and Congo by Using Artificial Adaptive Systems. Appl. Artif. Intell. 34(8): 597-617 (2020) - [j20]Paolo Massimo Buscema
Computer Aided Diagnosis for atrial fibrillation based on new artificial adaptive systems. Comput. Methods Programs Biomed. 191: 105401 (2020)
2010 – 2019
- 2018
- [j19]Paolo Massimo Buscema
The ANNS approach to DEM reconstruction. Comput. Intell. 34(1): 310-344 (2018) - [j18]Michael J. Friedel
Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machine-learning workflow. Int. J. Digit. Earth 11(7): 670-690 (2018) - [j17]Paolo Massimo Buscema
The meta-geography of the open society: An Auto-CM ANN approach. Expert Syst. Appl. 99: 12-24 (2018) - [c4]Maria Alicandro
A New Enhancement Filtering Approach for the Automatic Vector Conversion of the UAV Photogrammetry Output. EuroMed (1) 2018: 312-321 - 2017
- [j16]Enzo Grossi
Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study. Comput. Methods Programs Biomed. 142: 73-79 (2017) - 2016
- [j15]Guido Ferilli
Top corporate brands and the global structure of country brand positioning: An AutoCM ANN approach. Expert Syst. Appl. 66: 62-75 (2016) - 2015
- [j14]Paolo Massimo Buscema
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) - [j13]Paolo Massimo Buscema
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) - [j12]Paolo Massimo Buscema
Artificial Neural Network What-If Theory. Int. J. Inf. Syst. Soc. Chang. 6(4): 52-81 (2015) - [c3]Federico Licastro, Manuela Ianni, Roberto Ferrari, Gianluca Campo, Paolo Massimo Buscema, Enzo Grossi, Elisa Porcellini:
A New Risk Chart for Acute Myocardial Infarction by a Innovative Algoritm. HEALTHINF 2015: 252-259 - 2013
- [j11]Paolo Massimo Buscema
A New Algorithm for Identifying Possible Epidemic Sources with Application to the German Escherichia coli Outbreak. ISPRS Int. J. Geo Inf. 2(1): 155-200 (2013) - 2012
- [j10]Roberto Todeschini
Similarity Coefficients for Binary Chemoinformatics Data: Overview and Extended Comparison Using Simulated and Real Data Sets. J. Chem. Inf. Model. 52(11): 2884-2901 (2012) - 2010
- [d1]Paolo Massimo Buscema, S. Terzi, William J. Tastle:
Steel Plates Faults. UCI Machine Learning Repository, 2010
2000 – 2009
- 2008
- [j9]Silvana Penco
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background. BMC Bioinform. 9 (2008) - [j8]Paolo Massimo Buscema
The semantic connectivity map: an adapting self-organising knowledge discovery method in data bases. Experience in gastro-oesophageal reflux disease. Int. J. Data Min. Bioinform. 2(4): 362-404 (2008) - 2007
- [j7]Paolo Massimo Buscema
The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy. Artif. Intell. Medicine 40(2): 127-141 (2007) - [j6]Paolo Massimo Buscema
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 Accuracy. Comput. Intell. Neurosci. 2007 (2007) - [c2]Dirk Mayer, Adam Maciak, Thomas Rösler, Tim Keszler, Heiner Faber, Paolo Massimo Buscema
Vollautomatisierte Tumordiagnose in der dynamischen MRT der weiblichen Brust. Bildverarbeitung für die Medizin 2007: 86-90 - [c1]Paolo Massimo Buscema
A novel adapting mapping method for emergent properties discovery in data bases: experience in medical field. SMC 2007: 3457-3463 - 2005
- [j5]Paolo Massimo Buscema
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) - 2004
- [j4]Paolo Massimo Buscema
Genetic doping algorithm (GenD): theory and applications. Expert Syst. J. Knowl. Eng. 21(2): 63-79 (2004) - [j3]Paolo Massimo Buscema
Artificial neural networks and artificial organisms can predict alzheimer pathology in individual patients only on the basis of cognitive and functional status. Neuroinformatics 2(4): 399-415 (2004) - 2002
- [j2]M. C. Grassi
Artificial neural network assessment of substitutive pharmacological treatments in hospitalised intravenous drug users. Artif. Intell. Medicine 24(1): 37-49 (2002) - 2000
- [j1]Paolo Massimo Buscema, Pier Luigi Sacco:
Feedforward networks in financial predictions: the future that modifies the present. Expert Syst. J. Knowl. Eng. 17(3): 149-170 (2000)
Coauthor Index
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