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Alessandra Scotto di Freca
Alessandra Scotto di Freca
Assistant Professor of Computer Science, Cassino University
Email verificata su unicas.it
Titolo
Citata da
Citata da
Anno
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
1602014
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
1582019
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
1292019
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
662018
An experimental comparison of feature-selection and classification methods for microarray datasets
ND Cilia, C De Stefano, F Fontanella, S Raimondo, A Scotto di Freca
Information 10 (3), 109, 2019
632019
An experimental protocol to support cognitive impairment diagnosis by using handwriting analysis
ND Cilia, C De Stefano, F Fontanella, AS Di Freca
Procedia Computer Science 141, 466-471, 2018
532018
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
452020
A Bayesian approach for combining ensembles of GP classifiers
C De Stefano, F Fontanella, G Folino, AS Di Freca
Multiple Classifier Systems: 10th International Workshop, MCS 2011, Naples …, 2011
402011
A method for scribe distinction in medieval manuscripts using page layout features
C De Stefano, F Fontanella, M Maniaci, A Scotto di Freca
Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011
392011
Using Bayesian networks for selecting classifiers in GP ensembles
C De Stefano, G Folino, F Fontanella, A Scotto di Freca
Proceedings of the 13th annual conference companion on Genetic and …, 2011
342011
Pattern recognition and artificial intelligence techniques for cultural heritage
F Fontanella, F Colace, M Molinara, AS Di Freca, F Stanco
Pattern Recognition Letters 138, 23-29, 2020
332020
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
332012
Handwriting analysis to support alzheimer’s disease diagnosis: a preliminary study
ND Cilia, C De Stefano, F Fontanella, M Molinara, A Scotto Di Freca
Computer Analysis of Images and Patterns: 18th International Conference …, 2019
302019
Variable-length representation for EC-based feature selection in high-dimensional data
ND Cilia, C De Stefano, F Fontanella, A Scotto di Freca
Applications of Evolutionary Computation: 22nd International Conference …, 2019
282019
A hybrid evolutionary algorithm for bayesian networks learning: An application to classifier combination
C De Stefano, F Fontanella, C Marrocco, AS di Freca
Applications of Evolutionary Computation: EvoApplicatons 2010: EvoCOMPLEX …, 2010
282010
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
272010
A weighted majority vote strategy using bayesian networks
LP Cordella, C De Stefano, F Fontanella, A Scotto di Freca
Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013
242013
Pruning GP-based classifier ensembles by Bayesian networks
C De Stefano, G Folino, F Fontanella, A Scotto di Freca
International Conference on Parallel Problem Solving from Nature, 236-245, 2012
212012
Using handwriting features to characterize cognitive impairment
ND Cilia, C De Stefano, F Fontanella, M Molinara, A Scotto Di Freca
Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019
202019
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
172020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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