Improving Dynamic Learning Vector Quantization. - Claudio De Stefano; Ciro D'Elia; Angelo Marcelli; Alessandra Scotto di Freca (ICPR (2), 2006)

Using Bayesian Network for combining classifiers. - Claudio De Stefano; Ciro D'Elia; Angelo Marcelli; Alessandra Scotto di Freca (ICIAP, 2007)

Incorporating a Wavelet Transform into a Saliency-Based Method for Online Handwriting Segmentation. - Claudio De Stefano; Ciro D'Elia; Alessandra Scotto di Freca; Angelo Marcelli (Int. J. Pattern Recognit. Artif. Intell., 2007)

Learning Bayesian Networks by Evolution for Classifier Combination. - Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca; Angelo Marcelli (ICDAR, 2009)

Classifier Combination by Bayesian Networks for Handwriting Recognition. - Claudio De Stefano; Ciro D'Elia; Alessandra Scotto di Freca; Angelo Marcelli (Int. J. Pattern Recognit. Artif. Intell., 2009)

A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination. - Claudio De Stefano; Francesco Fontanella; Cristina Marrocco; Alessandra Scotto di Freca (EvoApplications (1), 2010)

Combining Single Class Features for Improving Performance of a Two Stage Classifier. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Cristina Marrocco; Alessandra Scotto di Freca (ICPR, 2010)

A Method for Scribe Distinction in Medieval Manuscripts Using Page Layout Features. - Claudio De Stefano; Francesco Fontanella; Marilena Maniaci; Alessandra Scotto di Freca (ICIAP (1), 2011)

A Bayesian Approach for Combining Ensembles of GP Classifiers. - Claudio De Stefano; Francesco Fontanella; Gianluigi Folino; Alessandra Scotto di Freca (MCS, 2011)

A Novel Naive Bayes Voting Strategy for Combining Classifiers. - Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (ICFHR, 2012)

Pruning GP-Based Classifier Ensembles by Bayesian Networks. - Claudio De Stefano; Gianluigi Folino; Francesco Fontanella; Alessandra Scotto di Freca (PPSN (1), 2012)

A Weighted Majority Vote Strategy Using Bayesian Networks. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (ICIAP (2), 2013)

Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing. - Claudio De Stefano; Francesco Fontanella; Angelo Marcelli; Antonio Parziale; Alessandra Scotto di Freca (ICFHR, 2014)

Random Forest for Reliable Pre-classification of Handwritten Characters. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (ICPR, 2014)

Using Bayesian networks for selecting classifiers in GP ensembles. - Claudio De Stefano; Gianluigi Folino; Francesco Fontanella; Alessandra Scotto di Freca (Inf. Sci., 2014)

A GA-based feature selection approach with an application to handwritten character recognition. - Claudio De Stefano; Francesco Fontanella; Cristina Marrocco; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2014)

A Novel GA-based Feature Selection Approach for High Dimensional Data. - Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (GECCO (Companion), 2016)

A Brief Overview on Handwriting Analysis for Neurodegenerative Disease Diagnosis. - Claudio De Stefano; Francesco Fontanella; Donato Impedovo; Giuseppe Pirlo; Alessandra Scotto di Freca (WAIAH@AI*IA, 2017)

A novel mutation operator for the evolutionary learning of Bayesian networks. - Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (CEC, 2017)

Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm. - Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EvoApplications (1), 2017)

Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (CIARP, 2018)

An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EUSPN/ICTH, 2018)

Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EvoApplications, 2018)

Recovering Segmentation Errors in Handwriting Recognition Systems. - Claudio De Stefano; Francesco Fontanella; Angelo Marcelli; Antonio Parziale; Alessandra Scotto di Freca (ICIC (2), 2018)

Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case. - Claudio De Stefano; Marilena Maniaci; Francesco Fontanella; Alessandra Scotto di Freca (Eng. Appl. Artif. Intell., 2018)

Avila. - Claudio De Stefano; Francesco Fontanella; Marilena Maniaci; Alessandra Scotto di Freca (UCI Machine Learning Repository, 2018)

Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (CAIP (2), 2019)

A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (CAIP (2), 2019)

Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EvoApplications, 2019)

Using Handwriting Features to Characterize Cognitive Impairment. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICIAP (2), 2019)

Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops, 2019)

A Page-Based Reject Option for Writer Identification in Medieval Books. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops, 2019)

How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (WIVACE, 2019)

An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Stefano Raimondo; Alessandra Scotto di Freca (Inf., 2019)

A ranking-based feature selection approach for handwritten character recognition. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2019)

Handwriting analysis to support neurodegenerative diseases diagnosis: A review. - Claudio De Stefano; Francesco Fontanella; Donato Impedovo; Giuseppe Pirlo; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2019)

Using Genetic Algorithms for the Prediction of Cognitive Impairments. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (EvoApplications, 2020)

Handwriting-Based Classifier Combination for Cognitive Impairment Prediction. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (ICPR Workshops (1), 2020)

PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Isabelle Marthot-Santaniello; Alessandra Scotto di Freca (ICPR Workshops (7), 2020)

Deep Transfer Learning for Alzheimer's disease detection. - Nicole Dalia Cilia; Claudio De Stefano; Claudio Marrocco; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICPR, 2020)

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (J. Imaging, 2020)

What is the minimum training data size to reliably identify writers in medieval manuscripts? - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

An end-to-end deep learning system for medieval writer identification. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

Pattern recognition and artificial intelligence techniques for cultural heritage. - Francesco Fontanella; Francesco Colace; Mario Molinara; Alessandra Scotto di Freca; Filippo Stanco (Pattern Recognit. Lett., 2020)

A novel PCA-based approach for building on-board sensor classifiers for water contaminant detection. - Claudio De Stefano; Luigi Ferrigno; Francesco Fontanella; Luca Gerevini; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (WIVACE, 2021)

Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (IEEE Access, 2021)

A novel binary classification approach based on geometric semantic genetic programming. - Illya Bakurov; Mauro Castelli; Francesco Fontanella; Alessandra Scotto di Freca; Leonardo Vanneschi (Swarm Evol. Comput., 2022)

Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone; Alessandra Scotto di Freca (IGS, 2023)

A Novel Writer Identification Approach for Greek Papyri Images. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Isabelle Marthot-Santaniello; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops (2), 2023)

A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone; Alessandra Scotto di Freca (WIVACE, 2023)

Comparing filter and wrapper approaches for feature selection in handwritten character recognition. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2023)

Writer Identification in Multiple Medieval Books: A Preliminary Study. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (ICPR (17), 2024)

UniCas for Medicine and Healthcare. - 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; et al. (Ital-IA, 2024)

UniCas for Industry. - Alessio Miele; Hamza Mustafa; Michele Vitelli; Alessandro Bria; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Ital-IA, 2024)

Two-step hierarchical binary classification of cancerous skin lesions using transfer learning and the random forest algorithm. - Taofik Ahmed Suleiman; Daniel Tweneboah Anyimadu; Andrew Dwi Permana; Hsham Abdalgny Abdalwhab Ngim; Alessandra Scotto di Freca (Vis. Comput. Ind. Biomed. Art, 2024)

A Bayesian network combiner for multimodal handwriting analysis in Alzheimer's disease detection. - Emanuele Nardone; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2025)