| Trends in IoT based solutions for health care: Moving AI to the edge L Greco, G Percannella, P Ritrovato, F Tortorella, M Vento Pattern recognition letters 135, 346-353, 2020 | 370 | 2020 |
| A method for improving classification reliability of multilayer perceptrons LP Cordella, C De Stefano, F Tortorella, M Vento IEEE Transactions on Neural Networks 6 (5), 1140-1147, 1995 | 143 | 1995 |
| Semi-supervised learning techniques in artificial olfaction: A novel approach to classification problems and drift counteraction S De Vito, G Fattoruso, M Pardo, F Tortorella, G Di Francia IEEE Sensors Journal 12 (11), 3215-3224, 2012 | 120 | 2012 |
| Reliability parameters to improve combination strategies in multi-expert systems LP Cordella, P Foggia, C Sansone, F Tortorella, M Vento Pattern Analysis & Applications 2, 205-214, 1999 | 115 | 1999 |
| Addressing class imbalance in deep learning for small lesion detection on medical images A Bria, C Marrocco, F Tortorella Computers in biology and medicine 120, 103735, 2020 | 113 | 2020 |
| Maximizing the area under the ROC curve by pairwise feature combination C Marrocco, RPW Duin, F Tortorella Pattern Recognition 41 (6), 1961-1974, 2008 | 112 | 2008 |
| Automatic classification of clustered microcalcifications by a multiple expert system M De Santo, M Molinara, F Tortorella, M Vento Pattern Recognition 36 (7), 1467-1477, 2003 | 93 | 2003 |
| Learning from unbalanced data: a cascade-based approach for detecting clustered microcalcifications A Bria, N Karssemeijer, F Tortorella Medical image analysis 18 (2), 241-252, 2014 | 89 | 2014 |
| An optimal reject rule for binary classifiers F Tortorella Advances in Pattern Recognition: Joint IAPR International Workshops SSPR …, 2000 | 86 | 2000 |
| Graph matching: a fast algorithm and its evaluation LP Cordella, P Foggia, C Sansone, F Tortorella, M Vento Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998 | 82 | 1998 |
| A multi-context CNN ensemble for small lesion detection B Savelli, A Bria, M Molinara, C Marrocco, F Tortorella Artificial intelligence in medicine 103, 101749, 2020 | 81 | 2020 |
| The importance of early detection of calcifications associated with breast cancer in screening JJ Mordang, A Gubern-Mérida, A Bria, F Tortorella, RM Mann, ... Breast cancer research and treatment 167, 451-458, 2018 | 62 | 2018 |
| Multiclassification: reject criteria for the Bayesian combiner P Foggia, C Sansone, F Tortorella, M Vento Pattern recognition 32 (8), 1435-1447, 1999 | 62 | 1999 |
| Facing imbalanced classes through aggregation of classifiers M Molinara, MT Ricamato, F Tortorella 14th international conference on image analysis and processing (ICIAP 2007 …, 2007 | 58 | 2007 |
| A computer-aided detection system for clustered microcalcifications C Marrocco, M Molinara, C D’Elia, F Tortorella Artificial intelligence in medicine 50 (1), 23-32, 2010 | 55 | 2010 |
| A ROC-based reject rule for dichotomizers F Tortorella Pattern Recognition Letters 26 (2), 167-180, 2005 | 53 | 2005 |
| Design of reject rules for ECOC classification systems P Simeone, C Marrocco, F Tortorella Pattern Recognition 45 (2), 863-875, 2012 | 51 | 2012 |
| Reducing the classification cost of support vector classifiers through an ROC-based reject rule F Tortorella Pattern Analysis and Applications 7, 128-143, 2004 | 45 | 2004 |
| Detection of microcalcifications clusters in mammograms through TS-MRF segmentation and SVM-based classification C D'Elia, C Marrocco, M Molinara, G Poggi, G Scarpa, F Tortorella Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 35 | 2004 |
| A cascaded multiple expert system for verification LP Cordella, P Foggia, C Sansone, F Tortorella, M Vento Multiple Classifier Systems: First International Workshop, MCS 2000 Cagliari …, 2000 | 35 | 2000 |
Claudio MarroccoDIEI, Università degli Studi di Cassino e del Lazio MeridionaleVerified email at unicas.it
