| A review of some methods for ranking fuzzy subsets G BORTOLAN, R DEGANI Readings in Fuzzy Sets for Intelligent Systems, 149-158, 1993 | 1357* | 1993 |
| The problem of linguistic approximation in clinical decision making R Degani, G Bortolan International Journal of Approximate Reasoning 2 (2), 143-162, 1988 | 437 | 1988 |
| Premature ventricular contraction classification by the Kth nearest-neighbours rule I Christov, I Jekova, G Bortolan Physiological measurement 26 (1), 123, 2005 | 141 | 2005 |
| Assessment and comparison of different methods for heartbeat classification I Jekova, G Bortolan, I Christov Medical Engineering & Physics 30 (2), 248-257, 2008 | 131 | 2008 |
| Ranking of pattern recognition parameters for premature ventricular contractions classification by neural networks I Christov, G Bortolan Physiological Measurement 25 (5), 1281, 2004 | 109 | 2004 |
| Diagnostic ECG classification based on neural networks. G Bortolan, JL Willems Journal of Electrocardiology 26, 75-79, 1993 | 97 | 1993 |
| Possibilities of using neural networks for ECG classification G Bortolan, C Brohet, S Fusaro Journal of Electrocardiology 29, 10-16, 1996 | 72 | 1996 |
| 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 | 63 | 2005 |
| ECG classification with neural networks and cluster analysis G Bortolan, R Degani, JL Willems Computers in cardiology 20, 177-180, 1991 | 63 | 1991 |
| Classification methods for computerized interpretation of the electrocardiogram JA Kors, JH Van Bemmel Methods of Information in Medicine 29 (04), 330-336, 1990 | 58 | 1990 |
| 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 | 52 | 2015 |
| 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 | 50 | 1996 |
| Some properties of defuzzification neural networks Q Song, G Bortolan Fuzzy Sets and Systems 61 (1), 83-89, 1994 | 47 | 1994 |
| 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 | 42 | 2001 |
| Neural networks for ECG classification G Bortolan, R Degani, JL Willems Computers in Cardiology 17, 269-272, 1990 | 42 | 1990 |
| An architecture of fuzzy neural networks for linguistic processing G Bortolan Fuzzy Sets and Systems 100 (1-3), 197-215, 1998 | 38 | 1998 |
| Computerized electrocardiogram diagnosis: fuzzy approach R Degani Methods of information in medicine 31 (04), 225-233, 1992 | 38 | 1992 |
| 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 | 37 | 1990 |
| 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 | 36 | 2001 |
| Reconstruction problem and information granularity G Bortolan, W Pedrycz IEEE Transactions on Fuzzy Systems 5 (2), 234-248, 1997 | 33 | 1997 |
