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Enzo Grossi
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2020 – today
- 2020
- [j12]Paolo Massimo Buscema
, Enzo Grossi
Computer Aided Diagnosis for atrial fibrillation based on new artificial adaptive systems. Comput. Methods Programs Biomed. 191: 105401 (2020)
2010 – 2019
- 2019
- [j11]Natascha Claudia D'Amico, Mario Merone
Tackling imbalance radiomics in acoustic neuroma. Int. J. Data Min. Bioinform. 22(4): 365-388 (2019) - 2018
- [c3]Natascha Claudia D'Amico, Rosa Sicilia
Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study. BIBM 2018: 847-852 - 2017
- [j10]Enzo Grossi
Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study. Comput. Methods Programs Biomed. 142: 73-79 (2017) - 2015
- [j9]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) - [j8]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) - [c2]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
- [j7]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)
2000 – 2009
- 2008
- [j6]Silvana Penco
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background. BMC Bioinform. 9 (2008) - [j5]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
- [j4]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) - [j3]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) - [c1]Cathy M. Helgason, Enzo Grossi, Dilip Pandey
Statistical and non linear mapping analysis of patient response to anti platelet therapy. SMC 2007: 3443-3456 - 2005
- [j2]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
- [j1]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)
Coauthor Index
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