Claudio De Stefano

142 papers A 7B 19C 2Misc 5Journal 50Unranked 58

Year	Rank	Type	Title / 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	—	`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	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	—	`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	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	—	`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`	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	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	A	`conf`	Assisted Transcription of Historical Documents by Keyword Spotting: A Performance Model. ICDAR Adolfo Santoro, Claudio De Stefano, Angelo Marcelli
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
2015	A	`conf`	Quantitative evaluation of features for Forensic Handwriting Examination. ICDAR Angelo Marcelli, Antonio Parziale, Claudio De Stefano
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
2013	—	`conf`	Evolutionary approaches for pooling classifier ensembles: Performance evaluation. SoCPaR Claudio De Stefano, Antonio Della Cioppa, 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
2010	B	`conf`	Reading Cursive Handwriting. ICFHR Claudio De Stefano, Angelo Marcelli, Antonio Parziale, Rosa Senatore
2010	B	`conf`	Writing Order Recovery from Off-Line Handwriting by Graph Traversal. ICPR Luigi P. Cordella, Claudio De Stefano, Angelo Marcelli, Adolfo Santoro
2009	J	`jnl`	Classifier Combination by Bayesian Networks for Handwriting Recognition. Int. J. Pattern Recognit. Artif. Intell. Claudio De Stefano, Ciro D'Elia, Alessandra Scotto di Freca, Angelo Marcelli
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
2008	B	`conf`	Indexing and retrieving cursive documents without recognition. ICPR Antonio Clavelli, Luigi P. Cordella, Claudio De Stefano, Angelo Marcelli
2007	C	`conf`	A feature selection algorithm for class discrimination improvement. IGARSS Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Gilda Schirinzi
2007	J	`jnl`	Editorial. Int. J. Pattern Recognit. Artif. Intell. Angelo Marcelli, Claudio De Stefano
2007	J	`jnl`	Evolutionary Prototyping for Handwriting Recognition. Int. J. Pattern Recognit. Artif. Intell. Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella
2007	J	`jnl`	Incorporating a Wavelet Transform into a Saliency-Based Method for Online Handwriting Segmentation. Int. J. Pattern Recognit. Artif. Intell. Claudio De Stefano, Ciro D'Elia, Alessandra Scotto di Freca, Angelo Marcelli
2007	Misc	`conf`	Using Bayesian Network for combining classifiers. ICIAP Claudio De Stefano, Ciro D'Elia, Angelo Marcelli, Alessandra Scotto di Freca
2007	J	`jnl`	Where Are the Niches? Dynamic Fitness Sharing. IEEE Trans. Evol. Comput. Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli
2006	B	`conf`	An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems. IEEE Congress on Evolutionary Computation Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
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`	Improving Dynamic Learning Vector Quantization. ICPR (2) Claudio De Stefano, Ciro D'Elia, Angelo Marcelli, Alessandra Scotto di Freca
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
2005	Misc	`conf`	Using Strings for On-Line Handwriting Shape Matching: A New Weighted Edit Distance. ICIAP Claudio De Stefano, Marco Garruto, Luis Lapresa, Angelo Marcelli
2004	—	`conf`	A Dynamic Approach to Learning Vector Quantization. ICPR (4) Claudio De Stefano, Ciro D'Elia, Angelo Marcelli
2004	—	`conf`	A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction. ICPR (2) Claudio De Stefano, Marco Garruto, Angelo Marcelli
2004	J	`jnl`	A Saliency-Based Segmentation Method For Online Cursive Handwriting. Int. J. Pattern Recognit. Artif. Intell. Claudio De Stefano, Gianluca Guadagno, Angelo Marcelli
2004	—	`conf`	A saliency-based multiscale method for on-line cursive handwriting shape description. IWFHR Claudio De Stefano, Marco Garruto, Angelo Marcelli
2004	J	`jnl`	An Efficient Method For Online Cursive Handwriting Strokes Reordering. Int. J. Pattern Recognit. Artif. Intell. Claudio De Stefano, Angelo Marcelli
2004	J	`jnl`	On the role of population size and niche radius in fitness sharing. IEEE Trans. Evol. Comput. Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli
2003	A	`conf`	Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. ICDAR Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
2002	—	`conf`	An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers. ICPR (2) Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
2002	J	`jnl`	Character preclassification based on genetic programming. Pattern Recognit. Lett. Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
2002	—	`conf`	From ligatures to characters: a shape-based algorithm for handwriting segmentation. IWFHR Claudio De Stefano, Angelo Marcelli
2002	J	`jnl`	Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning. Pattern Recognit. Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
2001	J	`jnl`	A Shape-Based Algorithm for Detecting Ligatures in On-Line Handwriting. Intell. Autom. Soft Comput. Claudio De Stefano, Antonio Iuliano, Angelo Marcelli
2001	A	`conf`	An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms. ICDAR Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
2001	—	`conf`	Grouping Character Shapes by Means of Genetic Programming. IWVF Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli, F. Matarazzo
2001	—	`conf`	Spatial Relations among Pattern Subsets as a Guide for Skeleton Pruning. IWVF Claudio De Stefano, Maria Frucci
2000	J	`jnl`	To reject or not to reject: that is the question-an answer in case of neural classifiers. IEEE Trans. Syst. Man Cybern. Part C Claudio De Stefano, Carlo Sansone, Mario Vento
1999	Misc	`conf`	A New Evolutionary Learning Model for Handwritten Character Prototyping. ICIAP Luigi P. Cordella, Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
1999	—	`conf`	A Robust Shape Decomposition Method. GREC Luigi P. Cordella, Claudio De Stefano, Maria Frucci
1999	A	`conf`	Handwritten Numeral Recognition by means of Evolutionary Algorithms. ICDAR Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
1999	—	`conf`	Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. Document Recognition and Retrieval Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli
1996	B	`conf`	A distance measure for structural descriptions using circular arcs as primitives. ICPR Claudio De Stefano, Pasquale Foggia, Francesco Tortorella, Mario Vento
1995	J	`jnl`	A method for improving classification reliability of multilayer perceptrons. IEEE Trans. Neural Networks Luigi P. Cordella, Claudio De Stefano, Francesco Tortorella, Mario Vento
1995	J	`jnl`	A neural network classifier for OCR using structural descriptions. Mach. Vis. Appl. Luigi P. Cordella, Claudio De Stefano, Mario Vento
1995	Misc	`conf`	An Adaptive Reject Option for LVQ Classifiers. ICIAP Luigi P. Cordella, Claudio De Stefano, Carlo Sansone, Mario Vento
1995	J	`jnl`	An entropy based method for extracting robust binary-templates. Mach. Vis. Appl. Claudio De Stefano, Francesco Tortorella, Mario Vento
1994	—	`conf`	Can a sequential thinning algorithm be parallelized? ICPR (3) Antonio d'Acierno, Claudio De Stefano, Francesco Tortorella, Mario Vento
1993	A	`conf`	Using entropy for drawing reliable templates. ICDAR Claudio De Stefano, Francesco Tortorella, Mario Vento
1992	—	`conf`	A method for the recognition of symbols on geographic maps. ICPR (1) Claudio De Stefano, Francesco Tortorella, Mario Vento
1992	—	`conf`	Improving character recognition rate by a multi-net neural classifier. ICPR (2) Luigi P. Cordella, Claudio De Stefano, Francesco Tortorella, Mario Vento