Francesco Fontanella

110 papers A 1B 14C 3Misc 2Journal 41Unranked 47
YearRankTypeTitle / Venue / Authors
2026 J jnl
Character Detection using YOLO for Writer Identification in multiple Medieval books.
CoRR
Alessandra Scotto di Freca, Tiziana D'Alessandro, Francesco Fontanella, Filippo Sarria, Claudio De Stefano
2026 J jnl
Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer's disease.
Medical Image Anal.
Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Frederick J. A. Meijer, Claudio De Stefano, Henkjan Huisman
2026 J jnl
Uncertainty-Aware Mapping from 3D Keypoints to Anatomical Landmarks for Markerless Biomechanics.
CoRR
Cesare Davide Pace, Alessandro Marco De Nunzio, Claudio De Stefano, Francesco Fontanella, Mario Molinara
2025 J jnl
A Bayesian network combiner for multimodal handwriting analysis in Alzheimer's disease detection.
Pattern Recognit. Lett.
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2025 J jnl
A Deep Transfer Learning Approach for Writer Identification in Greek Papyri.
ACM Journal on Computing and Cultural Heritage
Tiziana D'Alessandro, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca, Isabelle Marthot-Santaniello
2025 — conf
AI for environmental, energy, and IoT applications: UniCas industrial research highlights.
Ital-IA
Mario Molinara, Alessandro Bria, Domenico Capriglione, Tiziana D'Alessandro, Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Fabrizio Marignetti, Claudio Marrocco, Alessio Miele, Filippo Milano, Hamza Mustafa, Vincenzo Rega, Alessandra Scotto di Freca, Luca Cicala, Sara Parrilli, Mariano Focareta, Giuseppe Meoli, Michele Vitelli, Carmine Bourelly, Andrea Amodei
2025 — conf
Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study.
EvoApplications (2)
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2025 J jnl
Handwriting strokes as biomarkers for Alzheimer's disease prediction: A novel machine learning approach.
Comput. Biol. Medicine
Emanuele Nardone, Claudio De Stefano, Nicole Dalia Cilia, Francesco Fontanella
2025 J jnl
How Data Augmentation Affects Evolutionary Algorithms in Feature Selection: An Experimental Study.
SN Comput. Sci.
Emanuele Nardone, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2025 J jnl
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging.
CoRR
Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Frederick J. A. Meijer, Claudio De Stefano, Henkjan Huisman
2025 J jnl
Markerless Gait Analysis for Parkinson's disease diagnosis: A study on machine learning integration and features explainability.
Eng. Appl. Artif. Intell.
Cesare Davide Pace, Alessandro Marco De Nunzio, Claudio De Stefano, Francesco Fontanella, Mario Molinara
2025 J jnl
Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion.
CoRR
Cesare Davide Pace, Alessandro Marco De Nunzio, Claudio De Stefano, Francesco Fontanella, Mario Molinara
2025 J jnl
Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach.
Comput. Biol. Medicine
Caterina Vicidomini, Francesco Fontanella, Tiziana D'Alessandro, Giovanni N. Roviello, Claudio De Stefano, Fabrizio Stocchi, Mario Quarantelli, Maria Francesca De Pandis
2025 — conf
The Impact of Template Matching Threshold on Scribe Identification in Medieval Books.
ICIAP (Workshops 2)
Alessandra Scotto di Freca, Tiziana D'Alessandro, Francesco Fontanella, Emanuele Nardone, Olga Pustovalova, Claudio De Stefano
2025 — conf
UniCas research initiatives in medicine and healthcare.
Ital-IA
Gabriele Lozupone, Marco Cantone, Emanuele Nardone, Cesare Davide Pace, Ciro Russo, Alessandro Bria, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2025 J jnl
When Deep Learning Fails: Limitations of Recurrent Models on Stroke-Based Handwriting for Alzheimer's Disease Detection.
CoRR
Emanuele Nardone, Tiziana D'Alessandro, Francesco Fontanella, Claudio De Stefano
2024 J jnl
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features.
CoRR
Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella
2024 J jnl
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans.
CoRR
Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Claudio De Stefano
2024 — conf
Advancements and Challenges in Artificial Intelligence for Lewy Body Disease Research: A Brief Survey.
ICPR (Workshops and Challenges, 2)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Olga Pustovalova
2024 J jnl
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis.
Swarm Evol. Comput.
Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi
2024 — conf
From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods.
ICDAR (2)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Cesare Davide Pace
2024 J jnl
How word semantics and phonology affect handwriting of Alzheimer's patients: A machine learning based analysis.
Comput. Biol. Medicine
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Sabato Marco Siniscalchi
2024 — conf
Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study.
EvoApplications@EvoStar
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
2024 — conf
Markerless Machine Learning Approach for Gait Classification in Knee Osteoarthritis.
ICPR (Workshops and Challenges, 2)
Cesare Davide Pace, Alessandro Marco De Nunzio, Claudio De Stefano, Francesco Fontanella, Mario Molinara
2024 — conf
UniCas for Industry.
Ital-IA
Alessio Miele, Hamza Mustafa, Michele Vitelli, Alessandro Bria, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2024 — conf
UniCas for Medicine and Healthcare.
Ital-IA
Marco Cantone, Svonko Galasso, Gabriele Lozupone, Emanuele Nardone, Cesare Davide Pace, Ciro Russo, Alessandro Bria, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2024 — conf
Writer Identification in Multiple Medieval Books: A Preliminary Study.
ICPR (17)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2023 — conf
A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
WIVACE
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca
2023 — conf
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting Through Lognormal Features.
IGS
Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel Ángel Ferrer, Francesco Fontanella
2023 — conf
A Novel Writer Identification Approach for Greek Papyri Images.
ICIAP Workshops (2)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Mario Molinara, Alessandra Scotto di Freca
2023 — ed.
Artificial Life and Evolutionary Computation - 16th Italian Workshop, WIVACE 2022, Gaeta, Italy, September 14-16, 2022, Revised Selected Papers
WIVACE
Claudio De Stefano, Francesco Fontanella, Leonardo Vanneschi
2023 J jnl
Comparing filter and wrapper approaches for feature selection in handwritten character recognition.
Pattern Recognit. Lett.
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2023 J jnl
EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time.
IEEE Access
Carmine Bourelly, Michele Vitelli, Filippo Milano, Mario Molinara, Francesco Fontanella, Luigi Ferrigno
2023 — conf
Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network.
IGS
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca
2023 J jnl
How word semantics and phonology affect handwriting of Alzheimer's patients: a machine learning based analysis.
CoRR
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Sabato Marco Siniscalchi
2023 — conf
Using Genetic Programming to Learn Behavioral Models of Lithium Batteries.
EvoApplications@EvoStar
Giulia Di Capua, Carmine Bourelly, Claudio De Stefano, Francesco Fontanella, Filippo Milano, Mario Molinara, Nunzio Oliva, Francesco Porpora
2022 — conf
A Novel Evolutionary Approach for Neural Architecture Search.
WIVACE
Alessandro Bria, Paolo De Ciccio, Tiziana D'Alessandro, Francesco Fontanella
2022 J jnl
A novel binary classification approach based on geometric semantic genetic programming.
Swarm Evol. Comput.
Illya Bakurov, Mauro Castelli, Francesco Fontanella, Alessandra Scotto di Freca, Leonardo Vanneschi
2022 J jnl
Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction.
Mach. Vis. Appl.
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2022 J jnl
Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking.
Eng. Appl. Artif. Intell.
Nicole Dalia Cilia, Giuseppe De Gregorio, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale
2022 J jnl
Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection.
SN Comput. Sci.
Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Mario Molinara
2022 — conf
Lognormal Features for Early Diagnosis of Alzheimer's Disease Through Handwriting Analysis.
IGS
Nicole Dalia Cilia, Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella
2022 — conf
Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study.
ICIAP (1)
Francesco Fontanella, Sonia Pinelli, Claudio Babiloni, Roberta Lizio, Claudio Del Percio, Susanna Lopez, Giuseppe Noce, Franco Giubilei, Fabrizio Stocchi, Giovanni B. Frisoni, Flavio Nobili, Raffaele Ferri, Tiziana D'Alessandro, Nicole Dalia Cilia, Claudio De Stefano
2022 — conf
Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks.
WIVACE
Giulia Di Capua, Mario Molinara, Francesco Fontanella, Claudio De Stefano, Nunzio Oliva, Nicola Femia
2022 B conf
Offline handwriting image analysis to predict Alzheimer's disease via deep learning.
ICPR
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
2022 — conf
Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning.
ICPR Workshops (1)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
2022 B conf
Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis.
EvoApplications
Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi
2021 B conf
A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection.
EvoApplications
Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Mario Molinara
2021 J jnl
Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis.
IEEE Access
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2021 J jnl
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
IEEE J. Biomed. Health Informatics
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Mario Molinara
2021 J jnl
Genetic programming for stacked generalization.
Swarm Evol. Comput.
Illya Bakurov, Mauro Castelli, Olivier Gau, Francesco Fontanella, Leonardo Vanneschi
2021 J jnl
HeGO, a Social Game as a Tool for Cultural Heritage Valorization: The Case Study of the Atina Historical Center.
ACM Journal on Computing and Cultural Heritage
Francesco Fontanella, Mario Molinara, Arturo Gallozzi, Michela Cigola, Luca J. Senatore, Riccardo Florio, Paolo Clini, Flavio Celis D'Amico
2021 — conf
Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments.
WIVACE
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2020 J jnl
A novel PCA-based approach for building on-board sensor classifiers for water contaminant detection.
Pattern Recognit. Lett.
Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Alessandra Scotto di Freca
2020 J jnl
An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents.
J. Imaging
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2020 J jnl
An end-to-end deep learning system for medieval writer identification.
Pattern Recognit. Lett.
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2020 B conf
Deep Transfer Learning for Alzheimer's disease detection.
ICPR
Nicole Dalia Cilia, Claudio De Stefano, Claudio Marrocco, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2020 — conf
Handwriting-Based Classifier Combination for Cognitive Impairment Prediction.
ICPR Workshops (1)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2020 — conf
Novel Mutation Operators of a Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
ICIC (1)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella
2020 — conf
PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification.
ICPR Workshops (7)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Alessandra Scotto di Freca
2020 J jnl
Pattern recognition and artificial intelligence techniques for cultural heritage.
Pattern Recognit. Lett.
Francesco Fontanella, Francesco Colace, Mario Molinara, Alessandra Scotto di Freca, Filippo Stanco
2020 B conf
Using Genetic Algorithms for the Prediction of Cognitive Impairments.
EvoApplications
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2020 J jnl
What is the minimum training data size to reliably identify writers in medieval manuscripts?
Pattern Recognit. Lett.
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2019 — conf
A Page-Based Reject Option for Writer Identification in Medieval Books.
ICIAP Workshops
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2019 C conf
A Regression-like Classification System for Geometric Semantic Genetic Programming.
IJCCI
Illya Bakurov, Mauro Castelli, Francesco Fontanella, Leonardo Vanneschi
2019 — conf
A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books.
CAIP (2)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
2019 J jnl
A ranking-based feature selection approach for handwritten character recognition.
Pattern Recognit. Lett.
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2019 J jnl
An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets.
Inf.
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Stefano Raimondo, Alessandra Scotto di Freca
2019 J jnl
Graphonomics for the e-citizens: e-health, e-society and e-education.
Pattern Recognit. Lett.
Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Réjean Plamondon
2019 — conf
Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study.
CAIP (2)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2019 J jnl
Handwriting analysis to support neurodegenerative diseases diagnosis: A review.
Pattern Recognit. Lett.
Claudio De Stefano, Francesco Fontanella, Donato Impedovo, Giuseppe Pirlo, Alessandra Scotto di Freca
2019 — conf
HeritageGO (HeGO): A Social Media Based Project for Cultural Heritage Valorization.
UMAP (Adjunct Publication)
Francesco Fontanella, Mario Molinara, Arturo Gallozzi, Michela Cigola, Luca J. Senatore, Riccardo Florio, Paolo Clini, Flavio Celis D'Amico
2019 — conf
How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study.
WIVACE
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2019 — conf
Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts.
ICIAP Workshops
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2019 — conf
Using Handwriting Features to Characterize Cognitive Impairment.
ICIAP (2)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
2019 B conf
Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
EvoApplications
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2018 — conf
An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis.
EUSPN/ICTH
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2018 — conf
EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm.
PPSN (1)
Illya Bakurov, Leonardo Vanneschi, Mauro Castelli, Francesco Fontanella
2018 B conf
Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data.
EvoApplications
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2018 C conf
Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach.
CIARP
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2018 — conf
Recovering Segmentation Errors in Handwriting Recognition Systems.
ICIC (2)
Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale, Alessandra Scotto di Freca
2018 J jnl
Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case.
Eng. Appl. Artif. Intell.
Claudio De Stefano, Marilena Maniaci, Francesco Fontanella, Alessandra Scotto di Freca
2017 — conf
A Brief Overview on Handwriting Analysis for Neurodegenerative Disease Diagnosis.
WAIAH@AI*IA
Claudio De Stefano, Francesco Fontanella, Donato Impedovo, Giuseppe Pirlo, Alessandra Scotto di Freca
2017 B conf
A novel mutation operator for the evolutionary learning of Bayesian networks.
CEC
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2017 — conf
Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm.
EvoApplications (1)
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2016 — conf
A Novel GA-based Feature Selection Approach for High Dimensional Data.
GECCO (Companion)
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2014 J jnl
A GA-based feature selection approach with an application to handwritten character recognition.
Pattern Recognit. Lett.
Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Alessandra Scotto di Freca
2014 B conf
Random Forest for Reliable Pre-classification of Handwritten Characters.
ICPR
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2014 B conf
Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing.
ICFHR
Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale, Alessandra Scotto di Freca
2014 J jnl
Using Bayesian networks for selecting classifiers in GP ensembles.
Inf. Sci.
Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca
2013 — conf
A Weighted Majority Vote Strategy Using Bayesian Networks.
ICIAP (2)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2013 J jnl
EvoGeneSys, a new evolutionary approach to graph generation.
Appl. Soft Comput.
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
2012 B conf
A Novel Naive Bayes Voting Strategy for Combining Classifiers.
ICFHR
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
2012 — conf
Pruning GP-Based Classifier Ensembles by Bayesian Networks.
PPSN (1)
Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca
2011 — conf
A Bayesian Approach for Combining Ensembles of GP Classifiers.
MCS
Claudio De Stefano, Francesco Fontanella, Gianluigi Folino, Alessandra Scotto di Freca
2011 — conf
A Method for Scribe Distinction in Medieval Manuscripts Using Page Layout Features.
ICIAP (1)
Claudio De Stefano, Francesco Fontanella, Marilena Maniaci, Alessandra Scotto di Freca
2011 — conf
Using bayesian networks for selecting classifiers in GP ensembles.
GECCO (Companion)
Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca
2010 — conf
A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination.
EvoApplications (1)
Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Alessandra Scotto di Freca
2010 B conf
Combining Single Class Features for Improving Performance of a Two Stage Classifier.
ICPR
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Alessandra Scotto di Freca
2009 A conf
Learning Bayesian Networks by Evolution for Classifier Combination.
ICDAR
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, Angelo Marcelli
2008 — conf
A GA-Based Feature Selection Algorithm for Remote Sensing Images.
EvoWorkshops
Claudio De Stefano, Francesco Fontanella, Cristina Marrocco
2008 B conf
A feature selection algorithm for handwritten character recognition.
ICPR
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Cristina Marrocco
2007 C conf
A feature selection algorithm for class discrimination improvement.
IGARSS
Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Gilda Schirinzi
2007 J jnl
Evolutionary Prototyping for Handwriting Recognition.
Int. J. Pattern Recognit. Artif. Intell.
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella
2006 — —
An Approach to Pattern Recognition by Evolutionary Computation.
Francesco Fontanella
2006 — conf
Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier.
EvoWorkshops
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
2006 — conf
Looking for Prototypes by Genetic Programming.
IWICPAS
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
2005 Misc conf
A Novel Genetic Programming Based Approach for Classification Problems.
ICIAP
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
2005 B conf
Genetic programming for generating prototypes in classification problems.
Congress on Evolutionary Computation
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
2004 Misc conf
An Innovative Approach to Genetic Programming - based Clustering.
WSC
Ivanoe De Falco, Ernesto Tarantino, Antonio Della Cioppa, Francesco Fontanella