Improving character recognition rate by a multi-net neural classifier. - Luigi P. Cordella; Claudio De Stefano; Francesco Tortorella; Mario Vento (ICPR (2), 1992)

A method for the recognition of symbols on geographic maps. - Claudio De Stefano; Francesco Tortorella; Mario Vento (ICPR (1), 1992)

Using entropy for drawing reliable templates. - Claudio De Stefano; Francesco Tortorella; Mario Vento (ICDAR, 1993)

Can a sequential thinning algorithm be parallelized? - Antonio d'Acierno; Claudio De Stefano; Francesco Tortorella; Mario Vento (ICPR (3), 1994)

An Adaptive Reject Option for LVQ Classifiers. - Luigi P. Cordella; Claudio De Stefano; Carlo Sansone; Mario Vento (ICIAP, 1995)

A neural network classifier for OCR using structural descriptions. - Luigi P. Cordella; Claudio De Stefano; Mario Vento (Mach. Vis. Appl., 1995)

An entropy based method for extracting robust binary-templates. - Claudio De Stefano; Francesco Tortorella; Mario Vento (Mach. Vis. Appl., 1995)

A method for improving classification reliability of multilayer perceptrons. - Luigi P. Cordella; Claudio De Stefano; Francesco Tortorella; Mario Vento (IEEE Trans. Neural Networks, 1995)

A distance measure for structural descriptions using circular arcs as primitives. - Claudio De Stefano; Pasquale Foggia; Francesco Tortorella; Mario Vento (ICPR, 1996)

Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (Document Recognition and Retrieval, 1999)

A Robust Shape Decomposition Method. - Luigi P. Cordella; Claudio De Stefano; Maria Frucci (GREC, 1999)

Handwritten Numeral Recognition by means of Evolutionary Algorithms. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICDAR, 1999)

A New Evolutionary Learning Model for Handwritten Character Prototyping. - Luigi P. Cordella; Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICIAP, 1999)

To reject or not to reject: that is the question-an answer in case of neural classifiers. - Claudio De Stefano; Carlo Sansone; Mario Vento (IEEE Trans. Syst. Man Cybern. Part C, 2000)

An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICDAR, 2001)

Grouping Character Shapes by Means of Genetic Programming. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli; F. Matarazzo (IWVF, 2001)

Spatial Relations among Pattern Subsets as a Guide for Skeleton Pruning. - Claudio De Stefano; Maria Frucci (IWVF, 2001)

A Shape-Based Algorithm for Detecting Ligatures in On-Line Handwriting. - Claudio De Stefano; Antonio Iuliano; Angelo Marcelli (Intell. Autom. Soft Comput., 2001)

From ligatures to characters: a shape-based algorithm for handwriting segmentation. - Claudio De Stefano; Angelo Marcelli (IWFHR, 2002)

An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICPR (2), 2002)

Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (Pattern Recognit., 2002)

Character preclassification based on genetic programming. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (Pattern Recognit. Lett., 2002)

Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (ICDAR, 2003)

A saliency-based multiscale method for on-line cursive handwriting shape description. - Claudio De Stefano; Marco Garruto; Angelo Marcelli (IWFHR, 2004)

A Dynamic Approach to Learning Vector Quantization. - Claudio De Stefano; Ciro D'Elia; Angelo Marcelli (ICPR (4), 2004)

A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction. - Claudio De Stefano; Marco Garruto; Angelo Marcelli (ICPR (2), 2004)

A Saliency-Based Segmentation Method For Online Cursive Handwriting. - Claudio De Stefano; Gianluca Guadagno; Angelo Marcelli (Int. J. Pattern Recognit. Artif. Intell., 2004)

An Efficient Method For Online Cursive Handwriting Strokes Reordering. - Claudio De Stefano; Angelo Marcelli (Int. J. Pattern Recognit. Artif. Intell., 2004)

On the role of population size and niche radius in fitness sharing. - Antonio Della Cioppa; Claudio De Stefano; Angelo Marcelli (IEEE Trans. Evol. Comput., 2004)

Genetic programming for generating prototypes in classification problems. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Angelo Marcelli (Congress on Evolutionary Computation, 2005)

EvoGeneS, a New Evolutionary Approach to Graph Generation. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Angelo Marcelli (EvoCOP, 2005)

A Novel Genetic Programming Based Approach for Classification Problems. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Angelo Marcelli (ICIAP, 2005)

Using Strings for On-Line Handwriting Shape Matching: A New Weighted Edit Distance. - Claudio De Stefano; Marco Garruto; Luis Lapresa; Angelo Marcelli (ICIAP, 2005)

An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (IEEE Congress on Evolutionary Computation, 2006)

Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Angelo Marcelli (EvoWorkshops, 2006)

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

Looking for Prototypes by Genetic Programming. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Angelo Marcelli (IWICPAS, 2006)

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

A feature selection algorithm for class discrimination improvement. - Claudio De Stefano; Francesco Fontanella; Cristina Marrocco; Gilda Schirinzi (IGARSS, 2007)

Evolutionary Prototyping for Handwriting Recognition. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella (Int. J. Pattern Recognit. Artif. Intell., 2007)

Editorial. - Angelo Marcelli; Claudio De Stefano (Int. J. Pattern Recognit. Artif. Intell., 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)

Where Are the Niches? Dynamic Fitness Sharing. - Antonio Della Cioppa; Claudio De Stefano; Angelo Marcelli (IEEE Trans. Evol. Comput., 2007)

A GA-Based Feature Selection Algorithm for Remote Sensing Images. - Claudio De Stefano; Francesco Fontanella; Cristina Marrocco (EvoWorkshops, 2008)

Indexing and retrieving cursive documents without recognition. - Antonio Clavelli; Luigi P. Cordella; Claudio De Stefano; Angelo Marcelli (ICPR, 2008)

A feature selection algorithm for handwritten character recognition. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Cristina Marrocco (ICPR, 2008)

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)

Reading Cursive Handwriting. - Claudio De Stefano; Angelo Marcelli; Antonio Parziale; Rosa Senatore (ICFHR, 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)

Writing Order Recovery from Off-Line Handwriting by Graph Traversal. - Luigi P. Cordella; Claudio De Stefano; Angelo Marcelli; Adolfo Santoro (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)

Evolutionary approaches for pooling classifier ensembles: Performance evaluation. - Claudio De Stefano; Antonio Della Cioppa; Angelo Marcelli (SoCPaR, 2013)

EvoGeneSys, a new evolutionary approach to graph generation. - Luigi P. Cordella; Claudio De Stefano; Francesco Fontanella; Angelo Marcelli (Appl. Soft Comput., 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)

Quantitative evaluation of features for Forensic Handwriting Examination. - Angelo Marcelli; Antonio Parziale; Claudio De Stefano (ICDAR, 2015)

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)

Assisted Transcription of Historical Documents by Keyword Spotting: A Performance Model. - Adolfo Santoro; Claudio De Stefano; Angelo Marcelli (ICDAR, 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)

Graphonomics for the e-citizens: e-health, e-society and e-education. - Claudio De Stefano; Francesco Fontanella; Angelo Marcelli; Réjean Plamondon (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)

Novel Mutation Operators of a Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella (ICIC (1), 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)

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)

A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. - Claudio De Stefano; Luigi Ferrigno; Francesco Fontanella; Luca Gerevini; Mario Molinara (EvoApplications, 2021)

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)

From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Mario Molinara (IEEE J. Biomed. Health Informatics, 2021)

Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. - Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi (EvoApplications, 2022)

Lognormal Features for Early Diagnosis of Alzheimer's Disease Through Handwriting Analysis. - Nicole Dalia Cilia; Tiziana D'Alessandro; Cristina Carmona-Duarte; Claudio De Stefano; Moisés Díaz; Miguel A. Ferrer; Francesco Fontanella (IGS, 2022)

Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study. - 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; et al. (ICIAP (1), 2022)

Offline handwriting image analysis to predict Alzheimer's disease via deep learning. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella (ICPR, 2022)

Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone (ICPR Workshops (1), 2022)

Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks. - Giulia Di Capua; Mario Molinara; Francesco Fontanella; Claudio De Stefano; Nunzio Oliva; Nicola Femia (WIVACE, 2022)

Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking. - Nicole Dalia Cilia; Giuseppe De Gregorio; Claudio De Stefano; Francesco Fontanella; Angelo Marcelli; Antonio Parziale (Eng. Appl. Artif. Intell., 2022)

Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction. - Nicole Dalia Cilia; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella (Mach. Vis. Appl., 2022)

Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection. - Claudio De Stefano; Luigi Ferrigno; Francesco Fontanella; Luca Gerevini; Mario Molinara (SN Comput. Sci., 2022)

Using Genetic Programming to Learn Behavioral Models of Lithium Batteries. - Giulia Di Capua; Carmine Bourelly; Claudio De Stefano; Francesco Fontanella; Filippo Milano; Mario Molinara; Nunzio Oliva; Francesco Porpora (EvoApplications@EvoStar, 2023)

A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting Through Lognormal Features. - Tiziana D'Alessandro; Cristina Carmona-Duarte; Claudio De Stefano; Moisés Díaz; Miguel Ángel Ferrer; Francesco Fontanella (IGS, 2023)

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)

Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone (EvoApplications@EvoStar, 2024)

From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Emanuele Nardone; Cesare Davide Pace (ICDAR (2), 2024)

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

Advancements and Challenges in Artificial Intelligence for Lewy Body Disease Research: A Brief Survey. - Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Olga Pustovalova (ICPR (Workshops and Challenges, 2), 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)

AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans. - Gabriele Lozupone; Alessandro Bria; Francesco Fontanella; Claudio De Stefano (CoRR, 2024)

Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. - Irene Azzali; Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Mario Giacobini; Leonardo Vanneschi (Swarm Evol. Comput., 2024)

How word semantics and phonology affect handwriting of Alzheimer's patients: A machine learning based analysis. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Sabato Marco Siniscalchi (Comput. Biol. Medicine, 2024)

Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study. - Emanuele Nardone; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella (EvoApplications (2), 2025)

Handwriting strokes as biomarkers for Alzheimer's disease prediction: A novel machine learning approach. - Emanuele Nardone; Claudio De Stefano; Nicole Dalia Cilia; Francesco Fontanella (Comput. Biol. Medicine, 2025)

Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach. - Caterina Vicidomini; Francesco Fontanella; Tiziana D'Alessandro; Giovanni N. Roviello; Claudio De Stefano; Fabrizio Stocchi; Mario Quarantelli; Maria Francesca De Pandis (Comput. Biol. Medicine, 2025)

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)

Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion. - Cesare Davide Pace; Alessandro Marco De Nunzio; Claudio De Stefano; Francesco Fontanella; Mario Molinara (CoRR, 2025)

Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging. - Gabriele Lozupone; Alessandro Bria; Francesco Fontanella; Frederick J. A. Meijer; Claudio De Stefano; Henkjan Huisman (CoRR, 2025)

How Data Augmentation Affects Evolutionary Algorithms in Feature Selection: An Experimental Study. - Emanuele Nardone; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella (SN Comput. Sci., 2025)