Claudio De Stefano

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 54

Top Venues

Pattern Recognit. Lett.

EvoApplications

WIVACE

IGS

Publications

Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi
Automatic feature extraction with Vectorial Genetic Programming for Alzheimer's Disease prediction through handwriting analysis. Swarm Evol. Comput. 87 (2024)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study. EvoApplications@EvoStar (2024)
Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting through Lognormal Features. CoRR (2024)
Gabriele Lozupone, Alessandro Bria, Francesco Fontanella, Claudio De Stefano
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans. CoRR (2024)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Sabato Marco Siniscalchi
How word semantics and phonology affect handwriting of Alzheimer's patients: A machine learning based analysis. Comput. Biol. Medicine 169 (2024)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca
Feature Evaluation in Handwriting Analysis for Alzheimer's Disease Using Bayesian Network. IGS (2023)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Mario Molinara, Alessandra Scotto di Freca
A Novel Writer Identification Approach for Greek Papyri Images. ICIAP Workshops (2) (2023)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Sabato Marco Siniscalchi
How word semantics and phonology affect handwriting of Alzheimer's patients: a machine learning based analysis. CoRR (2023)
Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone, Alessandra Scotto di Freca
A Genetic Algorithm for Feature Selection for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. WIVACE (2023)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Comparing filter and wrapper approaches for feature selection in handwritten character recognition. Pattern Recognit. Lett. 168 (2023)
Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel Ángel Ferrer, Francesco Fontanella
A Machine Learning Approach to Analyze the Effects of Alzheimer's Disease on Handwriting Through Lognormal Features. IGS (2023)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
Offline handwriting image analysis to predict Alzheimer's disease via deep learning. ICPR (2022)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella
Deep transfer learning algorithms applied to synthetic drawing images as a tool for supporting Alzheimer's disease prediction. Mach. Vis. Appl. 33 (3) (2022)
Nicole Dalia Cilia, Tiziana D'Alessandro, Cristina Carmona-Duarte, Claudio De Stefano, Moisés Díaz, Miguel A. Ferrer, Francesco Fontanella
Lognormal Features for Early Diagnosis of Alzheimer's Disease Through Handwriting Analysis. IGS (2022)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Emanuele Nardone
Predicting Alzheimer's Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning. ICPR Workshops (1) (2022)
Irene Azzali, Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Giacobini, Leonardo Vanneschi
Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. EvoApplications (2022)
Nicole Dalia Cilia, Giuseppe De Gregorio, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale
Diagnosing Alzheimer's disease from on-line handwriting: A novel dataset and performance benchmarking. Eng. Appl. Artif. Intell. 111 (2022)
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
Machine Learning to Predict Cognitive Decline of Patients with Alzheimer's Disease Using EEG Markers: A Preliminary Study. ICIAP (1) (2022)
Giulia Di Capua, Mario Molinara, Francesco Fontanella, Claudio De Stefano, Nunzio Oliva, Nicola Femia
Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks. WIVACE (2022)
Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Mario Molinara
Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection. SN Comput. Sci. 3 (2) (2022)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Mario Molinara
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. IEEE J. Biomed. Health Informatics 25 (12) (2021)
Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Mario Molinara
A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. EvoApplications (2021)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Feature Selection as a Tool to Support the Diagnosis of Cognitive Impairments Through Handwriting Analysis. IEEE Access 9 (2021)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments. WIVACE (2021)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
What is the minimum training data size to reliably identify writers in medieval manuscripts? Pattern Recognit. Lett. 129 (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Using Genetic Algorithms for the Prediction of Cognitive Impairments. EvoApplications (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Handwriting-Based Classifier Combination for Cognitive Impairment Prediction. ICPR Workshops (1) (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Alessandra Scotto di Freca
PapyRow: A Dataset of Row Images from Ancient Greek Papyri for Writers Identification. ICPR Workshops (7) (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
An end-to-end deep learning system for medieval writer identification. Pattern Recognit. Lett. 129 (2020)
Nicole Dalia Cilia, Claudio De Stefano, Claudio Marrocco, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
Deep Transfer Learning for Alzheimer's disease detection. ICPR (2020)
Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Alessandra Scotto di Freca
A novel PCA-based approach for building on-board sensor classifiers for water contaminant detection. Pattern Recognit. Lett. 135 (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella
Novel Mutation Operators of a Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. ICIC (1) (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. J. Imaging 6 (9) (2020)
Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Réjean Plamondon
Graphonomics for the e-citizens: e-health, e-society and e-education. Pattern Recognit. Lett. 121 (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
How Word Choice Affects Cognitive Impairment Detection by Handwriting Analysis: A Preliminary Study. WIVACE (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. EvoApplications (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Stefano Raimondo, Alessandra Scotto di Freca
An Experimental Comparison of Feature-Selection and Classification Methods for Microarray Datasets. Inf. 10 (3) (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
A ranking-based feature selection approach for handwritten character recognition. Pattern Recognit. Lett. 121 (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
Using Handwriting Features to Characterize Cognitive Impairment. ICIAP (2) (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books. CAIP (2) (2019)
Claudio De Stefano, Francesco Fontanella, Donato Impedovo, Giuseppe Pirlo, Alessandra Scotto di Freca
Handwriting analysis to support neurodegenerative diseases diagnosis: A review. Pattern Recognit. Lett. 121 (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study. CAIP (2) (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
A Page-Based Reject Option for Writer Identification in Medieval Books. ICIAP Workshops (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts. ICIAP Workshops (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach. CIARP (2018)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis. EUSPN/ICTH (2018)
Claudio De Stefano, Marilena Maniaci, Francesco Fontanella, Alessandra Scotto di Freca
Reliable writer identification in medieval manuscripts through page layout features: The "Avila" Bible case. Eng. Appl. Artif. Intell. 72 (2018)
Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale, Alessandra Scotto di Freca
Recovering Segmentation Errors in Handwriting Recognition Systems. ICIC (2) (2018)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data. EvoApplications (2018)
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
A novel mutation operator for the evolutionary learning of Bayesian networks. CEC (2017)
Claudio De Stefano, Francesco Fontanella, Donato Impedovo, Giuseppe Pirlo, Alessandra Scotto di Freca
A Brief Overview on Handwriting Analysis for Neurodegenerative Disease Diagnosis. WAIAH@AI*IA (2017)
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm. EvoApplications (1) (2017)
Adolfo Santoro, Claudio De Stefano, Angelo Marcelli
Assisted Transcription of Historical Documents by Keyword Spotting: A Performance Model. ICDAR (2017)
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
A Novel GA-based Feature Selection Approach for High Dimensional Data. GECCO (Companion) (2016)
Angelo Marcelli, Antonio Parziale, Claudio De Stefano
Quantitative evaluation of features for Forensic Handwriting Examination. ICDAR (2015)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
Random Forest for Reliable Pre-classification of Handwritten Characters. ICPR (2014)
Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca
Using Bayesian networks for selecting classifiers in GP ensembles. Inf. Sci. 258 (2014)
Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale, Alessandra Scotto di Freca
Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing. ICFHR (2014)
Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Alessandra Scotto di Freca
A GA-based feature selection approach with an application to handwritten character recognition. Pattern Recognit. Lett. 35 (2014)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
A Weighted Majority Vote Strategy Using Bayesian Networks. ICIAP (2) (2013)
Giulia Di Capua, Carmine Bourelly, Claudio De Stefano, Francesco Fontanella, Filippo Milano, Mario Molinara, Nunzio Oliva, Francesco Porpora
Using Genetic Programming to Learn Behavioral Models of Lithium Batteries. EvoApplications@EvoStar (2013)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Evolutionary approaches for pooling classifier ensembles: Performance evaluation. SoCPaR (2013)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
EvoGeneSys, a new evolutionary approach to graph generation. Appl. Soft Comput. 13 (4) (2013)
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca
A Novel Naive Bayes Voting Strategy for Combining Classifiers. ICFHR (2012)
Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca
Pruning GP-Based Classifier Ensembles by Bayesian Networks. PPSN (1) (2012)
Claudio De Stefano, Francesco Fontanella, Marilena Maniaci, Alessandra Scotto di Freca
A Method for Scribe Distinction in Medieval Manuscripts Using Page Layout Features. ICIAP (1) (2011)
Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca
Using bayesian networks for selecting classifiers in GP ensembles. GECCO (Companion) (2011)
Claudio De Stefano, Francesco Fontanella, Gianluigi Folino, Alessandra Scotto di Freca
A Bayesian Approach for Combining Ensembles of GP Classifiers. MCS (2011)
Luigi P. Cordella, Claudio De Stefano, Angelo Marcelli, Adolfo Santoro
Writing Order Recovery from Off-Line Handwriting by Graph Traversal. ICPR (2010)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Alessandra Scotto di Freca
Combining Single Class Features for Improving Performance of a Two Stage Classifier. ICPR (2010)
Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Alessandra Scotto di Freca
A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination. EvoApplications (1) (2010)
Claudio De Stefano, Angelo Marcelli, Antonio Parziale, Rosa Senatore
Reading Cursive Handwriting. ICFHR (2010)
Claudio De Stefano, Ciro D'Elia, Alessandra Scotto di Freca, Angelo Marcelli
Classifier Combination by Bayesian Networks for Handwriting Recognition. Int. J. Pattern Recognit. Artif. Intell. 23 (5) (2009)
Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, Angelo Marcelli
Learning Bayesian Networks by Evolution for Classifier Combination. ICDAR (2009)
Claudio De Stefano, Francesco Fontanella, Cristina Marrocco
A GA-Based Feature Selection Algorithm for Remote Sensing Images. EvoWorkshops (2008)
Antonio Clavelli, Luigi P. Cordella, Claudio De Stefano, Angelo Marcelli
Indexing and retrieving cursive documents without recognition. ICPR (2008)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Cristina Marrocco
A feature selection algorithm for handwritten character recognition. ICPR (2008)
Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli
Where Are the Niches? Dynamic Fitness Sharing. IEEE Trans. Evol. Comput. 11 (4) (2007)
Claudio De Stefano, Ciro D'Elia, Angelo Marcelli, Alessandra Scotto di Freca
Using Bayesian Network for combining classifiers. ICIAP (2007)
Claudio De Stefano, Ciro D'Elia, Alessandra Scotto di Freca, Angelo Marcelli
Incorporating a Wavelet Transform into a Saliency-Based Method for Online Handwriting Segmentation. Int. J. Pattern Recognit. Artif. Intell. 21 (1) (2007)
Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Gilda Schirinzi
A feature selection algorithm for class discrimination improvement. IGARSS (2007)
Angelo Marcelli, Claudio De Stefano
Editorial. Int. J. Pattern Recognit. Artif. Intell. 21 (1) (2007)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella
Evolutionary Prototyping for Handwriting Recognition. Int. J. Pattern Recognit. Artif. Intell. 21 (1) (2007)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems. IEEE Congress on Evolutionary Computation (2006)
Claudio De Stefano, Ciro D'Elia, Angelo Marcelli, Alessandra Scotto di Freca
Improving Dynamic Learning Vector Quantization. ICPR (2) (2006)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier. EvoWorkshops (2006)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
Looking for Prototypes by Genetic Programming. IWICPAS (2006)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
A Novel Genetic Programming Based Approach for Classification Problems. ICIAP (2005)
Claudio De Stefano, Marco Garruto, Luis Lapresa, Angelo Marcelli
Using Strings for On-Line Handwriting Shape Matching: A New Weighted Edit Distance. ICIAP (2005)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
, a New Evolutionary Approach to Graph Generation. EvoCOP (2005)
Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli
Genetic programming for generating prototypes in classification problems. Congress on Evolutionary Computation (2005)
Claudio De Stefano, Marco Garruto, Angelo Marcelli
A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction. ICPR (2) (2004)
Claudio De Stefano, Angelo Marcelli
An Efficient Method For Online Cursive Handwriting Strokes Reordering. Int. J. Pattern Recognit. Artif. Intell. 18 (7) (2004)
Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli
On the role of population size and niche radius in fitness sharing. IEEE Trans. Evol. Comput. 8 (6) (2004)
Claudio De Stefano, Marco Garruto, Angelo Marcelli
A saliency-based multiscale method for on-line cursive handwriting shape description. IWFHR (2004)
Claudio De Stefano, Ciro D'Elia, Angelo Marcelli
A Dynamic Approach to Learning Vector Quantization. ICPR (4) (2004)
Claudio De Stefano, Gianluca Guadagno, Angelo Marcelli
A Saliency-Based Segmentation Method For Online Cursive Handwriting. Int. J. Pattern Recognit. Artif. Intell. 18 (7) (2004)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. ICDAR (2003)
Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
Character preclassification based on genetic programming. Pattern Recognit. Lett. 23 (12) (2002)
Claudio De Stefano, Angelo Marcelli
From ligatures to characters: a shape-based algorithm for handwriting segmentation. IWFHR (2002)

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Publication Activity (10 Years)

Top Topics

Top Venues

Claudio De Stefano