Claudio DE STEFANO
Claudio DE STEFANO
Bestätigte E-Mail-Adresse bei unicas.it
Titel
Zitiert von
Zitiert von
Jahr
To reject or not to reject: that is the question-an answer in case of neural classifiers
C De Stefano, C Sansone, M Vento
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2000
2232000
Where are the niches? Dynamic fitness sharing
A Della Cioppa, C De Stefano, A Marcelli
IEEE Transactions on Evolutionary Computation 11 (4), 453-465, 2007
1132007
A GA-based feature selection approach with an application to handwritten character recognition
C De Stefano, F Fontanella, C Marrocco, AS Di Freca
Pattern Recognition Letters 35, 130-141, 2014
1082014
On the role of population size and niche radius in fitness sharing
A Della Cioppa, C De Stefano, A Marcelli
IEEE Transactions on Evolutionary Computation 8 (6), 580-592, 2004
1052004
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
841995
A ranking-based feature selection approach for handwritten character recognition
ND Cilia, C De Stefano, F Fontanella, AS di Freca
Pattern Recognition Letters 121, 77-86, 2019
542019
Handwriting analysis to support neurodegenerative diseases diagnosis: A review
C De Stefano, F Fontanella, D Impedovo, G Pirlo, AS di Freca
Pattern Recognition Letters 121, 37-45, 2019
422019
A feature selection algorithm for handwritten character recognition
L Cordella, C De Stefano, F Fontanella, C Marrocco
2008 19th International Conference on Pattern Recognition, 1-4, 2008
382008
An adaptive weighted majority vote rule for combining multiple classifiers
C De Stefano, A Della Cioppa, A Marcelli
Object recognition supported by user interaction for service robots 2, 192-195, 2002
382002
Character preclassification based on genetic programming
C De Stefano, A Della Cioppa, A Marcelli
Pattern Recognition Letters 23 (12), 1439-1448, 2002
352002
Neural network classification reliability: Problems and applications
LP Cordella, C Sansone, F Tortorella, M Vento, C De Stefano
Image Processing and Pattern Recognition 5, 161-200, 1998
341998
A method for scribe distinction in medieval manuscripts using page layout features
C De Stefano, F Fontanella, M Maniaci, AS di Freca
International Conference on Image Analysis and Processing, 393-402, 2011
292011
Reliable writer identification in medieval manuscripts through page layout features: The “Avila” Bible case
C De Stefano, M Maniaci, F Fontanella, AS di Freca
Engineering Applications of Artificial Intelligence 72, 99-110, 2018
262018
A neural network classifier for OCR using structural descriptions
LP Cordella, C De Stefano, M Vento
Machine Vision and Applications 8 (5), 336-342, 1995
251995
Using Bayesian networks for selecting classifiers in GP ensembles
C De Stefano, G Folino, F Fontanella, AS Di Freca
Information Sciences 258, 200-216, 2014
242014
A saliency-based segmentation method for online cursive handwriting
C De Stefano, G Guadagno, A Marcelli
International Journal of Pattern Recognition and Artificial Intelligence 18 …, 2004
232004
Pruning GP-based classifier ensembles by Bayesian networks
C De Stefano, G Folino, F Fontanella, AS Di Freca
International Conference on Parallel Problem Solving from Nature, 236-245, 2012
222012
A GA-based feature selection algorithm for remote sensing images
C De Stefano, F Fontanella, C Marrocco
Workshops on applications of evolutionary computation, 285-294, 2008
222008
A novel naive bayes voting strategy for combining classifiers
C De Stefano, F Fontanella, AS Di Freca
2012 International Conference on Frontiers in Handwriting Recognition, 467-472, 2012
212012
A weighted majority vote strategy using bayesian networks
LP Cordella, C De Stefano, F Fontanella, AS di Freca
International Conference on Image Analysis and Processing, 219-228, 2013
192013
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