Enzo Grossi
Orcid: 0000-0003-0346-2684
According to our database1,
Enzo Grossi
authored at least 15 papers
between 2004 and 2020.
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Bibliography
2020
Computer Aided Diagnosis for atrial fibrillation based on new artificial adaptive systems.
Comput. Methods Programs Biomed., 2020
2019
2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study.
Comput. Methods Programs Biomed., 2017
2015
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., 2015
An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features.
Artif. Intell. Medicine, 2015
A New Risk Chart for Acute Myocardial Infarction by a Innovative Algoritm.
Proceedings of the HEALTHINF 2015, 2015
2013
A New Algorithm for Identifying Possible Epidemic Sources with Application to the German <i>Escherichia coli </i>Outbreak.
ISPRS Int. J. Geo Inf., 2013
2008
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., 2008
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background.
BMC Bioinform., 2008
2007
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
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, 2007
Statistical and non linear mapping analysis of patient response to anti platelet therapy.
Proceedings of the IEEE International Conference on Systems, 2007
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 treatment.
Artif. Intell. Medicine, 2005
2004
Artificial neural networks and artificial organisms can predict alzheimer pathology in individual patients only on the basis of cognitive and functional status.
Neuroinformatics, 2004