Francesco Fontanella

Orcid: 0000-0002-3242-0179

According to our database1, Francesco Fontanella authored at least 90 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
How word semantics and phonology affect handwriting of Alzheimer's patients: A machine learning based analysis.
Comput. Biol. Medicine, February, 2024

Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis.
Swarm Evol. Comput., 2024

AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans.
CoRR, 2024



From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023
Comparing filter and wrapper approaches for feature selection in handwritten character recognition.
Pattern Recognit. Lett., April, 2023

EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time.
IEEE Access, 2023

A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
Proceedings of the Artificial Life and Evolutionary Computation, 2023

A Novel Writer Identification Approach for Greek Papyri Images.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network.
Proceedings of the Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition, 2023

A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting Through Lognormal Features.
Proceedings of the Graphonomics in Human Body Movement. Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition, 2023

Using Genetic Programming to Learn Behavioral Models of Lithium Batteries.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022
DARWIN.
Dataset, May, 2022

A novel binary classification approach based on geometric semantic genetic programming.
Swarm Evol. Comput., 2022

Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection.
SN Comput. Sci., 2022

Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction.
Mach. Vis. Appl., 2022

Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking.
Eng. Appl. Artif. Intell., 2022

Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks.
Proceedings of the Artificial Life and Evolutionary Computation - 16th Italian Workshop, 2022

A Novel Evolutionary Approach for Neural Architecture Search.
Proceedings of the Artificial Life and Evolutionary Computation - 16th Italian Workshop, 2022

Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Offline handwriting image analysis to predict Alzheimer's disease via deep learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

Lognormal Features for Early Diagnosis of Alzheimer's Disease Through Handwriting Analysis.
Proceedings of the Intertwining Graphonomics with Human Movements, 2022

Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
IEEE J. Biomed. Health Informatics, 2021

Genetic programming for stacked generalization.
Swarm Evol. Comput., 2021

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, 2021

Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis.
IEEE Access, 2021

Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments.
Proceedings of the Artificial Life and Evolutionary Computation - 15th Italian Workshop, 2021

A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
A novel PCA-based approach for building on-board sensor classifiers for water contaminant detection.
Pattern Recognit. Lett., 2020

Pattern recognition and artificial intelligence techniques for cultural heritage.
Pattern Recognit. Lett., 2020

An end-to-end deep learning system for medieval writer identification.
Pattern Recognit. Lett., 2020

What is the minimum training data size to reliably identify writers in medieval manuscripts?
Pattern Recognit. Lett., 2020

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents.
J. Imaging, 2020

Deep Transfer Learning for Alzheimer's disease detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Handwriting-Based Classifier Combination for Cognitive Impairment Prediction.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Novel Mutation Operators of a Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
Proceedings of the Intelligent Computing Theories and Application, 2020

Using Genetic Algorithms for the Prediction of Cognitive Impairments.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020

2019
Graphonomics for the e-citizens: e-health, e-society and e-education.
Pattern Recognit. Lett., 2019

Handwriting analysis to support neurodegenerative diseases diagnosis: A review.
Pattern Recognit. Lett., 2019

A ranking-based feature selection approach for handwritten character recognition.
Pattern Recognit. Lett., 2019

An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets.
Inf., 2019

How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study.
Proceedings of the Artificial Life and Evolutionary Computation - 14th Italian Workshop, 2019

HeritageGO (HeGO): A Social Media Based Project for Cultural Heritage Valorization.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

A Regression-like Classification System for Geometric Semantic Genetic Programming.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

A Page-Based Reject Option for Writer Identification in Medieval Books.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Using Handwriting Features to Characterize Cognitive Impairment.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data.
Proceedings of the Applications of Evolutionary Computation, 2019

A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books.
Proceedings of the Computer Analysis of Images and Patterns, 2019

Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case.
Eng. Appl. Artif. Intell., 2018

EDDA-V2 - An Improvement of the Evolutionary Demes Despeciation Algorithm.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Recovering Segmentation Errors in Handwriting Recognition Systems.
Proceedings of the Intelligent Computing Theories and Application, 2018

Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data.
Proceedings of the Applications of Evolutionary Computation, 2018

An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis.
Proceedings of the 9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2018) / The 8th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2018) / Affiliated Workshops, 2018

Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

2017
Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

A novel mutation operator for the evolutionary learning of Bayesian networks.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

A Brief Overview on Handwriting Analysis for Neurodegenerative Disease Diagnosis.
Proceedings of the Workshop on Artificial Intelligence with Application in Health co-located with the 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017

2016
A Novel GA-based Feature Selection Approach for High Dimensional Data.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2014
A GA-based feature selection approach with an application to handwritten character recognition.
Pattern Recognit. Lett., 2014

Using Bayesian networks for selecting classifiers in GP ensembles.
Inf. Sci., 2014

Random Forest for Reliable Pre-classification of Handwritten Characters.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

2013
EvoGeneSys, a new evolutionary approach to graph generation.
Appl. Soft Comput., 2013

A Weighted Majority Vote Strategy Using Bayesian Networks.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2012
Pruning GP-Based Classifier Ensembles by Bayesian Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Novel Naive Bayes Voting Strategy for Combining Classifiers.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012

2011
A Bayesian Approach for Combining Ensembles of GP Classifiers.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

A Method for Scribe Distinction in Medieval Manuscripts Using Page Layout Features.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

2010
Combining Single Class Features for Improving Performance of a Two Stage Classifier.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination.
Proceedings of the Applications of Evolutionary Computation, 2010

2009
Learning Bayesian Networks by Evolution for Classifier Combination.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

2008
A feature selection algorithm for handwritten character recognition.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A GA-Based Feature Selection Algorithm for Remote Sensing Images.
Proceedings of the Applications of Evolutionary Computing, 2008

2007
Evolutionary Prototyping for Handwriting Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2007

A feature selection algorithm for class discrimination improvement.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2006
An Approach to Pattern Recognition by Evolutionary Computation.
PhD thesis, 2006

Looking for Prototypes by Genetic Programming.
Proceedings of the Advances in Machine Vision, 2006

Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier.
Proceedings of the Applications of Evolutionary Computing, 2006

2005
A Novel Genetic Programming Based Approach for Classification Problems.
Proceedings of the Image Analysis and Processing, 2005

<i>EvoGeneS</i>, a New Evolutionary Approach to Graph Generation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2005

Genetic programming for generating prototypes in classification problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
An Innovative Approach to Genetic Programming - based Clustering.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004


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