Alessandra Scotto di Freca

发表

A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination

Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, 2010, EvoApplications.

A Novel GA-based Feature Selection Approach for High Dimensional Data

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2016, GECCO.

A Novel Naive Bayes Voting Strategy for Combining Classifiers

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2018, CIARP.

Learning Bayesian Networks by Evolution for Classifier Combination

Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Feature evaluation for discriminating handwriting fragments

Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, 2015 .

Recovering Segmentation Errors in Handwriting Recognition Systems

Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, 2018, ICIC.

A novel mutation operator for the evolutionary learning of Bayesian networks

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2008, 2017 IEEE Congress on Evolutionary Computation (CEC).

A Brief Overview on Handwriting Analysis for Neurodegenerative Disease Diagnosis

Claudio De Stefano, Francesco Fontanella, Giuseppe Pirlo, 2017, WAIAH@AI*IA.

An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2019, Inf..

Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts

Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca, 2019, ICIAP Workshops.

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents

Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, 2020, J. Imaging.

Using bayesian networks for selecting classifiers in GP ensembles

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2011, Inf. Sci..

A GA-based feature selection approach with an application to handwritten character recognition

Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, 2014, Pattern Recognit. Lett..

Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study

Claudio De Stefano, Francesco Fontanella, Mario Molinara, 2019, CAIP.

Feature Evaluation for Handwriting: a ranking-based approach

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2017 .

Strategie robotiche ed informatiche per la fruizione museale

Marco Ceccarelli, Giuseppe Carbone, Michela Cigola, 2014 .

Classifier Combination by Bayesian Networks for Handwriting Recognition

Claudio De Stefano, Angelo Marcelli, Alessandra Scotto di Freca, 2009, Int. J. Pattern Recognit. Artif. Intell..

What is the minimum training data size to reliably identify writers in medieval manuscripts?

Claudio De Stefano, Francesco Fontanella, Mario Molinara, 2020, Pattern Recognit. Lett..

Pruning GP-Based Classifier Ensembles by Bayesian Networks

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2012, PPSN.

A Weighted Majority Vote Strategy Using Bayesian Networks

Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, 2013, ICIAP.

Using Handwriting Features to Characterize Cognitive Impairment

Claudio De Stefano, Francesco Fontanella, Mario Molinara, 2019, ICIAP.

Automatic Writer Identification in Medieval Books

Claudio De Stefano, Francesco Fontanella, Marilena Maniaci, 2018, 2018 Metrology for Archaeology and Cultural Heritage (MetroArchaeo).

An end-to-end deep learning system for medieval writer identification

Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, 2020, Pattern Recognit. Lett..

Using Genetic Algorithms for the Prediction of Cognitive Impairments

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2020, EvoApplications.

A novel PCA-based approach for building on-board sensor classifiers for water contaminant detection

Luigi Ferrigno, Claudio De Stefano, Francesco Fontanella, 2020, Pattern Recognit. Lett..

A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books

Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, 2019, CAIP.

The MuseBot Project: Robotics, Informatic, and Economics Strategies for Museums

Marco Ceccarelli, Claudio De Stefano, Michela Cigola, 2017 .

Combining Single Class Features for Improving Performance of a Two Stage Classifier

Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, 2010, 2010 20th International Conference on Pattern Recognition.

How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2019, WIVACE.

Using Bayesian networks for selecting classifiers in GP ensembles

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2014, Inf. Sci..

An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2018, EUSPN/ICTH.

Handwriting analysis to support neurodegenerative diseases diagnosis: A review

Claudio De Stefano, Francesco Fontanella, Giuseppe Pirlo, 2019, Pattern Recognit. Lett..

Deep Transfer Learning for writer identification in medieval books

Francesco Fontanella, Alessandro Bria, Claudio Marrocco, 2018, 2018 Metrology for Archaeology and Cultural Heritage (MetroArchaeo).

Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2019, EvoApplications.

A Bayesian Approach for Combining Ensembles of GP Classifiers

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2011, MCS.

Random Forest for Reliable Pre-classification of Handwritten Characters

Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, 2014, 2014 22nd International Conference on Pattern Recognition.

Using Bayesian Network for combining classifiers

Claudio De Stefano, Angelo Marcelli, Alessandra Scotto di Freca, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing

Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Incorporating a Wavelet Transform into a Saliency-Based Method for Online Handwriting Segmentation

Claudio De Stefano, Angelo Marcelli, Alessandra Scotto di Freca, 2007, Int. J. Pattern Recognit. Artif. Intell..

A Page-Based Reject Option for Writer Identification in Medieval Books

Francesco Fontanella, Claudio Marrocco, Mario Molinara, 2019, ICIAP Workshops.

Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2017, EvoApplications.

Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case

Claudio De Stefano, Francesco Fontanella, Marilena Maniaci, 2018, Eng. Appl. Artif. Intell..

A ranking-based feature selection approach for handwritten character recognition

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2019, Pattern Recognit. Lett..

Improving Dynamic Learning Vector Quantization

Claudio De Stefano, Angelo Marcelli, Alessandra Scotto di Freca, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data

Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, 2018, EvoApplications.

A Method for Scribe Distinction in Medieval Manuscripts Using Page Layout Features

Claudio De Stefano, Francesco Fontanella, Marilena Maniaci, 2011, ICIAP.

Deep Transfer Learning for Alzheimer's disease detection

Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Handwriting analysis and e-health: a brief overview

Claudio De Stefano, Francesco Fontanella, Giuseppe Pirlo, 2017 .