Francesco Fontanella

发表

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..

Graphonomics for the e-citizens: e-health, e-society and e-education

Réjean Plamondon, Claudio De Stefano, Francesco Fontanella, 2019, Pattern Recognit. Lett..

Protein Binding of Benzofuran Derivatives: A CD Spectroscopic and In Silico Comparative Study of the Effects of 4-Nitrophenyl Functionalized Benzofurans and Benzodifurans on BSA Protein Structure

Francesco Fontanella, R. Palumbo, G. Roviello, 2022, Biomolecules.

Offline handwriting image analysis to predict Alzheimer’s disease via deep learning

C. D. Stefano, Francesco Fontanella, N. Cilia, 2022, 2022 26th International Conference on Pattern Recognition (ICPR).

Evolutionary Prototyping for Handwriting Recognition

Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, 2007, Int. J. Pattern Recognit. Artif. Intell..

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

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

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

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

A ranking-based feature selection approach for handwritten character recognition

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

An Approach to Pattern Recognition by Evolutionary Computation

Francesco Fontanella, Francesco Fontanella, F. Fontanella, 2006 .

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

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

EvoGeneSys, a new evolutionary approach to graph generation

Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, 2013, Appl. Soft Comput..

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

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

Handwriting analysis to support neurodegenerative diseases diagnosis: A review

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

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

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

An Innovative Approach to Genetic Programming - based Clustering

Francesco Fontanella, Ivanoe De Falco, Ernesto Tarantino, 2004, WSC.

A novel binary classification approach based on geometric semantic genetic programming

Francesco Fontanella, A. S. D. Freca, L. Vanneschi, 2021, Swarm and Evolutionary Computation.

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.

Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study

Francesco Fontanella, G. Frisoni, C. Babiloni, 2022, ICIAP.

Using bayesian networks for selecting classifiers in GP ensembles

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

EvoGeneS, a New Evolutionary Approach to Graph Generation

Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, 2005, EvoCOP.

Genetic programming for stacked generalization

Leonardo Vanneschi, Francesco Fontanella, Mauro Castelli, 2021, Swarm Evol. Comput..

Handwriting-Based Classifier Combination for Cognitive Impairment Prediction

Francesco Fontanella, A. S. D. Freca, N. Cilia, 2020, ICPR Workshops.

A Brief Overview on Handwriting Analysis for Neurodegenerative Disease Diagnosis

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

From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach

Francesco Fontanella, Mario Molinara, Claudio De Stefano, 2021, IEEE Journal of Biomedical and Health Informatics.

Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking

Francesco Fontanella, Antonio Parziale, Angelo Marcelli, 2022, Eng. Appl. Artif. Intell..

Comparing filter and wrapper approaches for feature selection in handwritten character recognition

Francesco Fontanella, A. S. D. Freca, N. Cilia, 2023, Pattern Recognit. Lett..

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.

Pattern recognition and artificial intelligence techniques for cultural heritage

Francesco Fontanella, Francesco Colace, A. Scotto di Freca, 2020, Pattern Recognit. Lett..

PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification

C. D. Stefano, Francesco Fontanella, A. S. D. Freca, 2020, ICPR Workshops.

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..

How word semantics and phonology affect handwriting of Alzheimer's patients: a machine learning based analysis

Francesco Fontanella, N. Cilia, S. Siniscalchi, 2023, arXiv.org.