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 | 160 | 2014 |
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 | 158 | 2019 |
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 | 129 | 2019 |
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 | 66 | 2018 |
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 | 63 | 2019 |
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 | 53 | 2018 |
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 | 45 | 2020 |
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 | 40 | 2011 |
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 | 39 | 2011 |
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 | 34 | 2011 |
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 | 33 | 2020 |
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 | 33 | 2012 |
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 | 30 | 2019 |
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 | 28 | 2019 |
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 | 28 | 2010 |
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 | 27 | 2010 |
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 | 24 | 2013 |
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 | 21 | 2012 |
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 | 20 | 2019 |
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 | 17 | 2020 |