Claudio DE STEFANO
Claudio DE STEFANO
Verified email at unicas.it
Title
Cited by
Cited by
Year
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
2172000
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
1092007
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
1062014
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
791995
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
492019
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
372019
Character preclassification based on genetic programming
C De Stefano, A Della Cioppa, A Marcelli
Pattern Recognition Letters 23 (12), 1439-1448, 2002
362002
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
362002
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
352008
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
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
252014
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
241995
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
232018
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
232008
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 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
192012
Combining single class features for improving performance of a two stage classifier
LP Cordella, C De Stefano, F Fontanella, C Marrocco, AS di Freca
2010 20th International Conference on Pattern Recognition, 4352-4355, 2010
192010
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