Professor of Computer Engineering, University of Salerno
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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
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
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
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
Maximizing the area under the ROC curve by pairwise feature combination
C Marrocco, RPW Duin, F Tortorella
Pattern Recognition 41 (6), 1961-1974, 2008
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
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
An optimal reject rule for binary classifiers
F Tortorella
Advances in Pattern Recognition: Joint IAPR International Workshops SSPR …, 2000
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
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
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
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
Multiclassification: reject criteria for the Bayesian combiner
P Foggia, C Sansone, F Tortorella, M Vento
Pattern recognition 32 (8), 1435-1447, 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
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
Design of reject rules for ECOC classification systems
P Simeone, C Marrocco, F Tortorella
Pattern Recognition 45 (2), 863-875, 2012
A ROC-based reject rule for dichotomizers
F Tortorella
Pattern Recognition Letters 26 (2), 167-180, 2005
Reducing the classification cost of support vector classifiers through an ROC-based reject rule
F Tortorella
Pattern Analysis and Applications 7, 128-143, 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
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
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