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giovanni bortolan
giovanni bortolan
Institute of Neuroscience IN-CNR
Verified email at cnr.it
Title
Cited by
Cited by
Year
A review of some methods for ranking fuzzy subsets
G BORTOLAN, R DEGANI
Readings in Fuzzy Sets for Intelligent Systems, 149-158, 1993
1350*1993
The problem of linguistic approximation in clinical decision making
R Degani, G Bortolan
International Journal of Approximate Reasoning 2 (2), 143-162, 1988
4361988
Premature ventricular contraction classification by the Kth nearest-neighbours rule
I Christov, I Jekova, G Bortolan
Physiological measurement 26 (1), 123, 2005
1372005
Assessment and comparison of different methods for heartbeat classification
I Jekova, G Bortolan, I Christov
Medical Engineering & Physics 30 (2), 248-257, 2008
1282008
Ranking of pattern recognition parameters for premature ventricular contractions classification by neural networks
I Christov, G Bortolan
Physiological Measurement 25 (5), 1281, 2004
1072004
Diagnostic ECG classification based on neural networks.
G Bortolan, JL Willems
Journal of Electrocardiology 26, 75-79, 1993
961993
Possibilities of using neural networks for ECG classification
G Bortolan, C Brohet, S Fusaro
Journal of Electrocardiology 29, 10-16, 1996
721996
Comparison of four methods for premature ventricular contraction and normal beat clustering
G Bortolan, I Jekova, I Christov
Computers in Cardiology, 2005, 921-924, 2005
632005
ECG classification with neural networks and cluster analysis
G Bortolan, R Degani, JL Willems
Computers in cardiology 20, 177-180, 1991
621991
Classification methods for computerized interpretation of the electrocardiogram
JA Kors, JH Van Bemmel
Methods of Information in Medicine 29 (04), 330-336, 1990
581990
A hybrid neuro-fuzzy system for ECG classification of myocardial infarction
P Bozzola, G Bortolan, C Combi, F Pinciroli, C Brohet
Computers in cardiology 1996, 241-244, 1996
511996
Noise processing in exercise ECG stress test for the analysis and the clinical characterization of QRS and T wave alternans
G Bortolan, I Christov, I Simova, I Dotsinsky
Biomedical Signal Processing and Control 18, 378-385, 2015
502015
Some properties of defuzzification neural networks
Q Song, G Bortolan
Fuzzy Sets and Systems 61 (1), 83-89, 1994
471994
Sequential analysis for automatic detection of atrial fibrillation and flutter
I Christov, G Bortolan, I Daskalov
Computers in Cardiology 2001. Vol. 28 (Cat. No. 01CH37287), 293-296, 2001
432001
Neural networks for ECG classification
G Bortolan, R Degani, JL Willems
Computers in Cardiology 17, 269-272, 1990
401990
An architecture of fuzzy neural networks for linguistic processing
G Bortolan
Fuzzy Sets and Systems 100 (1-3), 197-215, 1998
381998
Computerized electrocardiogram diagnosis: fuzzy approach
R Degani
Methods of information in medicine 31 (04), 225-233, 1992
381992
Methodology of ECG interpretation in the Hannover program
C Zywietz, D Borovsky, G Gotsch, G Joseph
Methods of information in medicine 29 (04), 375-385, 1990
371990
Myocardial infarction and ischemia characterization from T-loop morphology in VCG
G Bortolan, I Christov
Computers in Cardiology 2001. Vol. 28 (Cat. No. 01CH37287), 633-636, 2001
362001
Reconstruction problem and information granularity
G Bortolan, W Pedrycz
IEEE Transactions on Fuzzy Systems 5 (2), 234-248, 1997
321997
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