| 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 | 127 | 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 |
| 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 | 87 | 2020 |
| 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 | 56 | 2010 |
| Design of reject rules for ECOC classification systems P Simeone, C Marrocco, F Tortorella Pattern Recognition 45 (2), 863-875, 2012 | 52 | 2012 |
| An end-to-end deep learning system for medieval writer identification ND Cilia, C De Stefano, F Fontanella, C Marrocco, M Molinara, ... Pattern Recognition Letters 129, 137-143, 2020 | 47 | 2020 |
| An IoT-ready solution for automated recognition of water contaminants A Bria, G Cerro, M Ferdinandi, C Marrocco, M Molinara Pattern Recognition Letters 135, 188-195, 2020 | 39 | 2020 |
| 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 |
| Illumination correction by Dehazing for retinal vessel segmentation B Savelli, A Bria, C Marrocco, M Molinara, F Tortorella, A Galdran, ... 2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017 | 32 | 2017 |
| An effective learning strategy for cascaded object detection A Bria, C Marrocco, M Molinara, F Tortorella Information Sciences 340, 17-26, 2016 | 30 | 2016 |
| Convolutional networks and transformers for mammography classification: an experimental study M Cantone, C Marrocco, F Tortorella, A Bria Sensors 23 (3), 1229, 2023 | 26 | 2023 |
| Deep cascade classifiers to detect clusters of microcalcifications A Bria, C Marrocco, N Karssemeijer, M Molinara, F Tortorella Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June …, 2016 | 25 | 2016 |
| Exploiting AUC for optimal linear combinations of dichotomizers C Marrocco, M Molinara, F Tortorella Pattern Recognition Letters 27 (8), 900-907, 2006 | 25 | 2006 |
| A novel smart system for contaminants detection and recognition in water M Ferdinandi, M Molinara, G Cerro, L Ferrigno, C Marroco, A Bria, ... 2019 IEEE international conference on smart computing (SMARTCOMP), 186-191, 2019 | 24 | 2019 |
| Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms M Molinara, C Marrocco, F Tortorella Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013 | 21 | 2013 |
| Mcs-based balancing techniques for skewed classes: An empirical comparison MT Ricamato, C Marrocco, F Tortorella 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 21 | 2008 |
| Artificial intelligence for distributed smart systems M Molinara, A Bria, S De Vito, C Marrocco Pattern Recognition Letters 142, 48-50, 2021 | 19 | 2021 |
| Sinc-based convolutional neural networks for EEG-BCI-based motor imagery classification A Bria, C Marrocco, F Tortorella International conference on pattern recognition, 526-535, 2021 | 19 | 2021 |
| An experimental comparison between deep learning and classical machine learning approaches for writer identification in medieval documents ND Cilia, C De Stefano, F Fontanella, C Marrocco, M Molinara, AS Freca Journal of Imaging 6 (9), 89, 2020 | 19 | 2020 |
| A preliminary solution for anomaly detection in water quality monitoring C Bourelly, A Bria, L Ferrigno, L Gerevini, C Marrocco, M Molinara, ... 2020 IEEE International Conference on Smart Computing (SMARTCOMP), 410-415, 2020 | 18 | 2020 |
Francesco TORTORELLAProfessor of Computer Engineering, University of SalernoПодтвержден адрес электронной почты в домене unisa.it
