Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging

Claudio De Stefano https://orcid.org/0000-0002-7654-6849

Gabriele Lozupone Alessandro Bria Francesco Fontanella Frederick J. A. Meijer Claudio De Stefano Henkjan Huisman Latent diffusion autoencoders: Toward efficient and meaningful unsupervised representation learning in medical imaging - a case study on Alzheimer's disease. 103932 2026 109 Medical Image Anal. https://doi.org/10.1016/j.media.2026.103932 db/journals/mia/mia109.html#LozuponeBFMSH26 streams/journals/mia

Alessandra Scotto di Freca Tiziana D'Alessandro Francesco Fontanella Filippo Sarria Claudio De Stefano Character Detection using YOLO for Writer Identification in multiple Medieval books. 2026 January abs/2601.04834 CoRR https://doi.org/10.48550/arXiv.2601.04834 db/journals/corr/corr2601.html#abs-2601-04834 streams/journals/corr

Emanuele Nardone Claudio De Stefano Nicole Dalia Cilia Francesco Fontanella Handwriting strokes as biomarkers for Alzheimer's disease prediction: A novel machine learning approach. 110039 2025 190 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2025.110039 db/journals/cbm/cbm190.html#NardoneSCF25 streams/journals/cbm

Caterina Vicidomini Francesco Fontanella Tiziana D'Alessandro Giovanni N. Roviello Claudio De Stefano Fabrizio Stocchi Mario Quarantelli Maria Francesca De Pandis Resting-state functional MRI metrics to detect freezing of gait in Parkinson's disease: a machine learning approach. 110244 2025 192 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2025.110244 db/journals/cbm/cbm192.html#VicidominiFDRSSQP25 streams/journals/cbm

Cesare Davide Pace Alessandro Marco De Nunzio Claudio De Stefano Francesco Fontanella Mario Molinara Markerless Gait Analysis for Parkinson's disease diagnosis: A study on machine learning integration and features explainability. 112031 2025 161 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2025.112031 db/journals/eaai/eaai161.html#PaceNSFM25 streams/journals/eaai

Tiziana D'Alessandro Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Mario Molinara Alessandra Scotto di Freca Isabelle Marthot-Santaniello A Deep Transfer Learning Approach for Writer Identification in Greek Papyri. 43:1-43:19 2025 18 ACM Journal on Computing and Cultural Heritage 3 https://doi.org/10.1145/3727263 db/journals/jocch/jocch18.html#DAlessandroCSFM25

Emanuele Nardone Tiziana D'Alessandro Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca A Bayesian network combiner for multimodal handwriting analysis in Alzheimer's disease detection. 177-184 2025 190 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2025.02.019 db/journals/prl/prl190.html#NardoneDSFF25 streams/journals/prl

Emanuele Nardone Tiziana D'Alessandro Claudio De Stefano Francesco Fontanella How Data Augmentation Affects Evolutionary Algorithms in Feature Selection: An Experimental Study. 536 2025 June 6 SN Comput. Sci. 5 https://doi.org/10.1007/s42979-025-04049-3 db/journals/sncs/sncs6.html#NardoneDSF25 streams/journals/sncs

Emanuele Nardone Tiziana D'Alessandro Claudio De Stefano Francesco Fontanella Evolutionary Computation for Causality-Driven Feature Selection: A Preliminary Study. 385-401 2025 EvoApplications (2) https://doi.org/10.1007/978-3-031-90062-4_24 conf/evoapps/2025-1 db/conf/evoapps/evoapps2025-1.html#NardoneDSF25 streams/conf/evoapps Alessandra Scotto di Freca Tiziana D'Alessandro Francesco Fontanella Emanuele Nardone Olga Pustovalova Claudio De Stefano The Impact of Template Matching Threshold on Scribe Identification in Medieval Books. 233-245 2025 ICIAP (Workshops 2) https://doi.org/10.1007/978-3-032-11381-8_20 conf/iciap/2025-w2 db/conf/iciap/iciap2025-w2.html#FrecaDFNPS25 streams/conf/iciap 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 UniCas research initiatives in medicine and healthcare. 2025 Ital-IA https://ceur-ws.org/Vol-4121/Ital-IA_2025_paper_63.pdf conf/ital-ia/2025 db/conf/ital-ia/ital-ia2025.html#LozuponeCNPRBDSFMMF25 streams/conf/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 AI for environmental, energy, and IoT applications: UniCas industrial research highlights. 2025 Ital-IA https://ceur-ws.org/Vol-4121/Ital-IA_2025_paper_53.pdf conf/ital-ia/2025 db/conf/ital-ia/ital-ia2025.html#MolinaraBCDSFFMMMMMRFCP25 streams/conf/ital-ia

Cesare Davide Pace Alessandro Marco De Nunzio Claudio De Stefano Francesco Fontanella Mario Molinara Poseidon: A ViT-based Architecture for Multi-Frame Pose Estimation with Adaptive Frame Weighting and Multi-Scale Feature Fusion. 2025 January abs/2501.08446 CoRR https://doi.org/10.48550/arXiv.2501.08446 db/journals/corr/corr2501.html#abs-2501-08446 streams/journals/corr

Gabriele Lozupone Alessandro Bria Francesco Fontanella Frederick J. A. Meijer Claudio De Stefano Henkjan Huisman Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical Imaging. 2025 April abs/2504.08635 CoRR https://doi.org/10.48550/arXiv.2504.08635 db/journals/corr/corr2504.html#abs-2504-08635 streams/journals/corr

Emanuele Nardone Tiziana D'Alessandro Francesco Fontanella Claudio De Stefano When Deep Learning Fails: Limitations of Recurrent Models on Stroke-Based Handwriting for Alzheimer's Disease Detection. 2025 August abs/2508.03773 CoRR https://doi.org/10.48550/arXiv.2508.03773 db/journals/corr/corr2508.html#abs-2508-03773 streams/journals/corr

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. 107891 2024 February 169 Comput. Biol. Medicine https://doi.org/10.1016/j.compbiomed.2023.107891 db/journals/cbm/cbm169.html#CiliaSFS24

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. 101571 2024 87 Swarm Evol. Comput. https://doi.org/10.1016/j.swevo.2024.101571 https://www.wikidata.org/entity/Q128215279 db/journals/swevo/swevo87.html#AzzaliCSFGV24

Tiziana D'Alessandro Claudio De Stefano Francesco Fontanella Emanuele Nardone Integrating Data Augmentation in Evolutionary Algorithms for Feature Selection: A Preliminary Study. 397-412 2024 EvoApplications@EvoStar https://doi.org/10.1007/978-3-031-56852-7_25 conf/evoW/2024-1 db/conf/evoW/evostar2024-1.html#DAlessandroSFN24 Tiziana D'Alessandro Claudio De Stefano Francesco Fontanella Emanuele Nardone Cesare Davide Pace From Handwriting Analysis to Alzheimer's Disease Prediction: An Experimental Comparison of Classifier Combination Methods. 334-351 2024 ICDAR (2) https://doi.org/10.1007/978-3-031-70536-6_20 conf/icdar/2024-2 db/conf/icdar/icdar2024-2.html#DAlessandroSFNP24 streams/conf/icdar Tiziana D'Alessandro Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Writer Identification in Multiple Medieval Books: A Preliminary Study. 77-92 2024 ICPR (17) https://doi.org/10.1007/978-3-031-78447-7_6 conf/icpr/2024-17 db/conf/icpr/icpr2024-17.html#DAlessandroSFF24 streams/conf/icpr Cesare Davide Pace Alessandro Marco De Nunzio Claudio De Stefano Francesco Fontanella Mario Molinara Markerless Machine Learning Approach for Gait Classification in Knee Osteoarthritis. 116-128 2024 ICPR (Workshops and Challenges, 2) https://doi.org/10.1007/978-3-031-87660-8_9 conf/icpr/2024-w2 db/conf/icpr/icpr2024-w2.html#PaceNSFM24 streams/conf/icpr Tiziana D'Alessandro Claudio De Stefano Francesco Fontanella Olga Pustovalova Advancements and Challenges in Artificial Intelligence for Lewy Body Disease Research: A Brief Survey. 141-153 2024 ICPR (Workshops and Challenges, 2) https://doi.org/10.1007/978-3-031-87660-8_11 conf/icpr/2024-w2 db/conf/icpr/icpr2024-w2.html#DAlessandroSFP24 streams/conf/icpr Alessio Miele Hamza Mustafa Michele Vitelli Alessandro Bria Claudio De Stefano Francesco Fontanella Claudio Marrocco Mario Molinara Alessandra Scotto di Freca UniCas for Industry. 253-258 2024 Ital-IA https://ceur-ws.org/Vol-3762/535.pdf conf/ital-ia/2024 db/conf/ital-ia/ital-ia2024.html#MieleMVBSFMMF24 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 UniCas for Medicine and Healthcare. 330-335 2024 Ital-IA https://ceur-ws.org/Vol-3762/542.pdf conf/ital-ia/2024 db/conf/ital-ia/ital-ia2024.html#CantoneGLNPRBDS24

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. 2024 abs/2405.16959 CoRR https://doi.org/10.48550/arXiv.2405.16959 db/journals/corr/corr2405.html#abs-2405-16959

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. 2024 abs/2407.02418 CoRR https://doi.org/10.48550/arXiv.2407.02418 db/journals/corr/corr2407.html#abs-2407-02418 streams/journals/corr

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. 39-46 2023 April 168 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2023.02.028 db/journals/prl/prl168.html#CiliaDSFF23

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. 461-474 2023 EvoApplications@EvoStar https://doi.org/10.1007/978-3-031-30229-9_30 conf/evoapps/2023 db/conf/evoapps/evoapps2023.html#CapuaBSFMMOP13 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. 103-121 2023 IGS https://doi.org/10.1007/978-3-031-45461-5_8 conf/graphonomics/2023 db/conf/graphonomics/igs2023.html#DAlessandroCSDFF23 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. 122-135 2023 IGS https://doi.org/10.1007/978-3-031-45461-5_9 conf/graphonomics/2023 db/conf/graphonomics/igs2023.html#DAlessandroSFNF23 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. 422-436 2023 ICIAP Workshops (2) https://doi.org/10.1007/978-3-031-51026-7_36 conf/iciap/2023-w2 db/conf/iciap/iciap2023-w2.html#CiliaDSFMMF23 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. 309-323 2023 WIVACE https://doi.org/10.1007/978-3-031-57430-6_24 conf/wivace/2023 db/conf/wivace/wivace2023.html#DAlessandroSFNF23 Claudio De Stefano Francesco Fontanella Leonardo Vanneschi Artificial Life and Evolutionary Computation - 16th Italian Workshop, WIVACE 2022, Gaeta, Italy, September 14-16, 2022, Revised Selected Papers WIVACE Springer 2023 Communications in Computer and Information Science 1780 978-3-031-31182-6 978-3-031-31183-3 https://doi.org/10.1007/978-3-031-31183-3 db/conf/wivace/wivace2022.html

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. 2023 abs/2307.04762 CoRR https://doi.org/10.48550/arXiv.2307.04762 db/journals/corr/corr2307.html#abs-2307-04762

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. 104822 2022 111 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2022.104822 https://www.wikidata.org/entity/Q111894310 db/journals/eaai/eaai111.html#CiliaGSFMP22

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. 49 2022 33 Mach. Vis. Appl. 3 https://doi.org/10.1007/s00138-022-01297-8 https://www.wikidata.org/entity/Q115149229 db/journals/mva/mva33.html#CiliaDSF22

Claudio De Stefano Luigi Ferrigno Francesco Fontanella Luca Gerevini Mario Molinara Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection. 111 2022 3 SN Comput. Sci. 2 https://doi.org/10.1007/s42979-021-00986-x db/journals/sncs/sncs3.html#StefanoFFGM22

Irene Azzali Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Mario Giacobini Leonardo Vanneschi Vectorial GP for Alzheimer's Disease Prediction Through Handwriting Analysis. 517-530 2022 EvoApplications https://doi.org/10.1007/978-3-031-02462-7_33 conf/evoW/2022a db/conf/evoW/evoappl2022.html#AzzaliCSFGV22 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. 322-335 2022 IGS https://doi.org/10.1007/978-3-031-19745-1_24 conf/graphonomics/2022 db/conf/graphonomics/graphonomics2022.html#CiliaDCSDFF22 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. 137-147 2022 ICIAP (1) https://doi.org/10.1007/978-3-031-06427-2_12 conf/iciap/2022-1 db/conf/iciap/iciap2022-1.html#FontanellaPBLPL22 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. 632-643 2022 ICPR Workshops (1) https://doi.org/10.1007/978-3-031-37660-3_44 conf/icpr/2022w1 db/conf/icpr/icpr2022w1.html#CiliaDSFN22 Nicole Dalia Cilia Tiziana D'Alessandro Claudio De Stefano Francesco Fontanella Offline handwriting image analysis to predict Alzheimer's disease via deep learning. 2807-2813 2022 ICPR https://doi.org/10.1109/ICPR56361.2022.9956359 conf/icpr/2022 db/conf/icpr/icpr2022.html#CiliaDSF22 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. 245-253 2022 WIVACE https://doi.org/10.1007/978-3-031-31183-3_20 conf/wivace/2022 db/conf/wivace/wivace2022.html#CapuaMFSOF22

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. 78226-78240 2021 9 IEEE Access https://doi.org/10.1109/ACCESS.2021.3083176 db/journals/access/access9.html#CiliaSFF21

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. 4243-4254 2021 25 IEEE J. Biomed. Health Informatics 12 https://doi.org/10.1109/JBHI.2021.3101982 https://www.wikidata.org/entity/Q111520199 db/journals/titb/titb25.html#CiliaDSFM21

Claudio De Stefano Luigi Ferrigno Francesco Fontanella Luca Gerevini Mario Molinara A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. 781-794 2021 EvoApplications https://doi.org/10.1007/978-3-030-72699-7_49 conf/evoW/2021a db/conf/evoW/evoappl2021.html#StefanoFFGM21 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. 139-150 2021 WIVACE https://doi.org/10.1007/978-3-031-23929-8_14 conf/wivace/2021 db/conf/wivace/wivace2021.html#CiliaDSFF21

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. 89 2020 6 J. Imaging 9 https://doi.org/10.3390/jimaging6090089 db/journals/jimaging/jimaging6.html#CiliaSFMMF20

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. 137-143 2020 129 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2019.11.025 https://www.wikidata.org/entity/Q126786799 db/journals/prl/prl129.html#CiliaSFMMF20

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? 198-204 2020 129 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2019.11.030 db/journals/prl/prl129.html#CiliaSFMF20

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. 375-381 2020 135 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2020.05.015 db/journals/prl/prl135.html#StefanoFFGF20

Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Using Genetic Algorithms for the Prediction of Cognitive Impairments. 479-493 2020 EvoApplications https://doi.org/10.1007/978-3-030-43722-0_31 conf/evoW/2020a db/conf/evoW/evoappl2020.html#CiliaSFF20 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. 53-63 2020 ICIC (1) https://doi.org/10.1007/978-3-030-60799-9_5 conf/icic/2020-1 db/conf/icic/icic2020-1.html#CiliaSF20 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. 223-234 2020 ICPR Workshops (7) https://doi.org/10.1007/978-3-030-68787-8_16 conf/icpr/2020w7 db/conf/icpr/icpr2020w7.html#CiliaSFMF20 Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Handwriting-Based Classifier Combination for Cognitive Impairment Prediction. 587-599 2020 ICPR Workshops (1) https://doi.org/10.1007/978-3-030-68763-2_45 conf/icpr/2020w1 db/conf/icpr/icpr2020w1.html#CiliaSFF20 Nicole Dalia Cilia Claudio De Stefano Claudio Marrocco Francesco Fontanella Mario Molinara Alessandra Scotto di Freca Deep Transfer Learning for Alzheimer's disease detection. 9904-9911 2020 ICPR https://doi.org/10.1109/ICPR48806.2021.9412603 conf/icpr/2020 db/conf/icpr/icpr2020.html#CiliaSMFMF20

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. 109 2019 10 Inf. 3 https://doi.org/10.3390/info10030109 db/journals/information/information10.html#CiliaSFRF19

Claudio De Stefano Francesco Fontanella Angelo Marcelli Réjean Plamondon Graphonomics for the e-citizens: e-health, e-society and e-education. 1-5 2019 121 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2018.11.020 https://www.wikidata.org/entity/Q128848213 db/journals/prl/prl121.html#StefanoFMP19

Claudio De Stefano Francesco Fontanella Donato Impedovo Giuseppe Pirlo Alessandra Scotto di Freca Handwriting analysis to support neurodegenerative diseases diagnosis: A review. 37-45 2019 121 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2018.05.013 https://www.wikidata.org/entity/Q58456277 db/journals/prl/prl121.html#StefanoFIPF19

Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca A ranking-based feature selection approach for handwritten character recognition. 77-86 2019 121 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2018.04.007 https://www.wikidata.org/entity/Q129999845 db/journals/prl/prl121.html#CiliaSFF19

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. 143-151 2019 CAIP (2) https://doi.org/10.1007/978-3-030-29891-3_13 conf/caip/2019-2 db/conf/caip/caip2019-2.html#CiliaSFMF19 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. 305-316 2019 CAIP (2) https://doi.org/10.1007/978-3-030-29891-3_27 conf/caip/2019-2 db/conf/caip/caip2019-2.html#CiliaSFMMF19 Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Variable-Length Representation for EC-Based Feature Selection in High-Dimensional Data. 325-340 2019 EvoApplications https://doi.org/10.1007/978-3-030-16692-2_22 conf/evoW/2019a db/conf/evoW/evoappl2019.html#CiliaSFF19 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. 187-197 2019 ICIAP Workshops https://doi.org/10.1007/978-3-030-30754-7_19 conf/iciap/2019w db/conf/iciap/iciap2019w.html#CiliaSFMMF19 Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Mario Molinara Alessandra Scotto di Freca Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts. 198-208 2019 ICIAP Workshops https://doi.org/10.1007/978-3-030-30754-7_20 conf/iciap/2019w db/conf/iciap/iciap2019w.html#CiliaSFMF19a Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Mario Molinara Alessandra Scotto di Freca Using Handwriting Features to Characterize Cognitive Impairment. 683-693 2019 ICIAP (2) https://doi.org/10.1007/978-3-030-30645-8_62 conf/iciap/2019-2 db/conf/iciap/iciap2019-2.html#CiliaSFMF19 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. 113-123 2019 WIVACE https://doi.org/10.1007/978-3-030-45016-8_12 conf/wivace/2019 db/conf/wivace/wivace2019.html#CiliaSFF19

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. 99-110 2018 72 Eng. Appl. Artif. Intell. https://doi.org/10.1016/j.engappai.2018.03.023 db/journals/eaai/eaai72.html#StefanoMFF18

Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Improving Handwritten Character Recognition by Using a Ranking-Based Feature Selection Approach. 902-910 2018 CIARP https://doi.org/10.1007/978-3-030-13469-3_104 conf/ciarp/2018 db/conf/ciarp/ciarp2018.html#CiliaSFF18 Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca An Experimental Protocol to Support Cognitive Impairment Diagnosis by using Handwriting Analysis. 466-471 2018 EUSPN/ICTH https://doi.org/10.1016/j.procs.2018.10.141 conf/euspn/2018 db/conf/euspn/euspn2018.html#CiliaSFF18 Nicole Dalia Cilia Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Improving Evolutionary Algorithm Performance for Feature Selection in High-Dimensional Data. 439-454 2018 EvoApplications https://doi.org/10.1007/978-3-319-77538-8_30 conf/evoW/2018a db/conf/evoW/evoappl2018.html#CiliaSFF18 Claudio De Stefano Francesco Fontanella Angelo Marcelli Antonio Parziale Alessandra Scotto di Freca Recovering Segmentation Errors in Handwriting Recognition Systems. 631-642 2018 ICIC (2) https://doi.org/10.1007/978-3-319-95933-7_72 conf/icic/2018-2 db/conf/icic/icic2018-2.html#StefanoFMPF18 Claudio De Stefano Francesco Fontanella Marilena Maniaci Alessandra Scotto di Freca Avila. 2018 June https://doi.org/10.24432/C5K02X UCI-MLR streams/repo/ucimlr Claudio De Stefano Francesco Fontanella Donato Impedovo Giuseppe Pirlo Alessandra Scotto di Freca A Brief Overview on Handwriting Analysis for Neurodegenerative Disease Diagnosis. 9-16 2017 WAIAH@AI*IA https://ceur-ws.org/Vol-1982/paper2.pdf conf/aiia/2017waiah db/conf/aiia/waiah2017.html#StefanoFIPF17 Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca A novel mutation operator for the evolutionary learning of Bayesian networks. 1999-2006 2017 CEC https://doi.org/10.1109/CEC.2017.7969546 conf/cec/2017 db/conf/cec/cec2017.html#StefanoFF17 Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm. 506-521 2017 EvoApplications (1) https://doi.org/10.1007/978-3-319-55849-3_33 conf/evoW/2017a-1 db/conf/evoW/evoappl2017-1.html#StefanoFF17 Adolfo Santoro Claudio De Stefano Angelo Marcelli Assisted Transcription of Historical Documents by Keyword Spotting: A Performance Model. 971-976 2017 ICDAR https://doi.org/10.1109/ICDAR.2017.162 https://doi.ieeecomputersociety.org/10.1109/ICDAR.2017.162 conf/icdar/2017 db/conf/icdar/icdar2017.html#SantoroSM17 Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca A Novel GA-based Feature Selection Approach for High Dimensional Data. 87-88 2016 GECCO (Companion) https://doi.org/10.1145/2908961.2909049 conf/gecco/2016c db/conf/gecco/gecco2016c.html#StefanoFF16 Angelo Marcelli Antonio Parziale Claudio De Stefano Quantitative evaluation of features for Forensic Handwriting Examination. 1266-1271 2015 ICDAR https://doi.org/10.1109/ICDAR.2015.7333952 https://doi.ieeecomputersociety.org/10.1109/ICDAR.2015.7333952 conf/icdar/2015 db/conf/icdar/icdar2015.html#MarcelliPS15

Claudio De Stefano Gianluigi Folino Francesco Fontanella Alessandra Scotto di Freca Using Bayesian networks for selecting classifiers in GP ensembles. 200-216 2014 258 Inf. Sci. https://doi.org/10.1016/j.ins.2013.09.049 db/journals/isci/isci258.html#StefanoFFF14

Claudio De Stefano Francesco Fontanella Cristina Marrocco Alessandra Scotto di Freca A GA-based feature selection approach with an application to handwritten character recognition. 130-141 2014 35 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2013.01.026 db/journals/prl/prl35.html#StefanoFMF14

Claudio De Stefano Francesco Fontanella Angelo Marcelli Antonio Parziale Alessandra Scotto di Freca Rejecting Both Segmentation and Classification Errors in Handwritten Form Processing. 569-574 2014 ICFHR https://doi.org/10.1109/ICFHR.2014.101 https://doi.ieeecomputersociety.org/10.1109/ICFHR.2014.101 conf/icfhr/2014 db/conf/icfhr/icfhr2014.html#StefanoFMPF14 Luigi P. Cordella Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Random Forest for Reliable Pre-classification of Handwritten Characters. 1319-1324 2014 ICPR https://doi.org/10.1109/ICPR.2014.236 https://doi.ieeecomputersociety.org/10.1109/ICPR.2014.236 conf/icpr/2014 db/conf/icpr/icpr2014.html#CordellaSFF14

Luigi P. Cordella Claudio De Stefano Francesco Fontanella Angelo Marcelli EvoGeneSys, a new evolutionary approach to graph generation. 1922-1938 2013 13 Appl. Soft Comput. 4 https://doi.org/10.1016/j.asoc.2012.12.037 db/journals/asc/asc13.html#CordellaSFM13

Luigi P. Cordella Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca A Weighted Majority Vote Strategy Using Bayesian Networks. 219-228 2013 ICIAP (2) https://doi.org/10.1007/978-3-642-41184-7_23 conf/iciap/2013-2 db/conf/iciap/iciap2013-2.html#CordellaSFF13 Claudio De Stefano Antonio Della Cioppa Angelo Marcelli Evolutionary approaches for pooling classifier ensembles: Performance evaluation. 309-314 2013 SoCPaR https://doi.org/10.1109/SOCPAR.2013.7054149 https://www.wikidata.org/entity/Q59830718 conf/socpar/2013 db/conf/socpar/socpar2013.html#StefanoCM13 Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca A Novel Naive Bayes Voting Strategy for Combining Classifiers. 467-472 2012 conf/icfhr/2012 ICFHR https://doi.org/10.1109/ICFHR.2012.166 https://doi.ieeecomputersociety.org/10.1109/ICFHR.2012.166 db/conf/icfhr/icfhr2012.html#StefanoFF12 Claudio De Stefano Gianluigi Folino Francesco Fontanella Alessandra Scotto di Freca Pruning GP-Based Classifier Ensembles by Bayesian Networks. 236-245 2012 PPSN (1) https://doi.org/10.1007/978-3-642-32937-1_24 conf/ppsn/2012-1 db/conf/ppsn/ppsn2012-1.html#StefanoFFF12 Claudio De Stefano Gianluigi Folino Francesco Fontanella Alessandra Scotto di Freca Using bayesian networks for selecting classifiers in GP ensembles. 173-174 2011 GECCO (Companion) https://doi.org/10.1145/2001858.2001955 conf/gecco/2011c db/conf/gecco/gecco2011c.html#StefanoFFF11 Claudio De Stefano Francesco Fontanella Marilena Maniaci Alessandra Scotto di Freca A Method for Scribe Distinction in Medieval Manuscripts Using Page Layout Features. 393-402 2011 ICIAP (1) https://doi.org/10.1007/978-3-642-24085-0_41 conf/iciap/2011-1 db/conf/iciap/iciap2011-1.html#StefanoFMF11 Claudio De Stefano Francesco Fontanella Gianluigi Folino Alessandra Scotto di Freca A Bayesian Approach for Combining Ensembles of GP Classifiers. 26-35 2011 MCS https://doi.org/10.1007/978-3-642-21557-5_5 conf/mcs/2011 db/conf/mcs/mcs2011.html#StefanoFFF11 Claudio De Stefano Francesco Fontanella Cristina Marrocco Alessandra Scotto di Freca A Hybrid Evolutionary Algorithm for Bayesian Networks Learning: An Application to Classifier Combination. 221-230 2010 EvoApplications (1) https://doi.org/10.1007/978-3-642-12239-2_23 conf/evoW/2010a1 db/conf/evoW/evoappl2010-1.html#StefanoFMF10 Claudio De Stefano Angelo Marcelli Antonio Parziale Rosa Senatore Reading Cursive Handwriting. 95-100 2010 ICFHR https://doi.org/10.1109/ICFHR.2010.21 https://doi.ieeecomputersociety.org/10.1109/ICFHR.2010.21 conf/icfhr/2010 db/conf/icfhr/icfhr2010.html#StefanoMPS10 Luigi P. Cordella Claudio De Stefano Angelo Marcelli Adolfo Santoro Writing Order Recovery from Off-Line Handwriting by Graph Traversal. 1896-1899 2010 ICPR https://doi.org/10.1109/ICPR.2010.467 https://doi.ieeecomputersociety.org/10.1109/ICPR.2010.467 conf/icpr/2010 db/conf/icpr/icpr2010.html#CordellaSMS10 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. 4352-4355 2010 ICPR https://doi.org/10.1109/ICPR.2010.1058 https://doi.ieeecomputersociety.org/10.1109/ICPR.2010.1058 conf/icpr/2010 db/conf/icpr/icpr2010.html#CordellaSFMF10

Claudio De Stefano Ciro D'Elia Alessandra Scotto di Freca Angelo Marcelli Classifier Combination by Bayesian Networks for Handwriting Recognition. 887-905 2009 23 Int. J. Pattern Recognit. Artif. Intell. 5 https://doi.org/10.1142/S0218001409007387 db/journals/ijprai/ijprai23.html#StefanoDFM09

Claudio De Stefano Francesco Fontanella Alessandra Scotto di Freca Angelo Marcelli Learning Bayesian Networks by Evolution for Classifier Combination. 966-970 2009 ICDAR https://doi.org/10.1109/ICDAR.2009.177 https://doi.ieeecomputersociety.org/10.1109/ICDAR.2009.177 conf/icdar/2009 db/conf/icdar/icdar2009.html#StefanoFFM09 Claudio De Stefano Francesco Fontanella Cristina Marrocco A GA-Based Feature Selection Algorithm for Remote Sensing Images. 285-294 2008 EvoWorkshops https://doi.org/10.1007/978-3-540-78761-7_29 conf/evoW/2008 db/conf/evoW/evoW2008.html#StefanoFM08 Antonio Clavelli Luigi P. Cordella Claudio De Stefano Angelo Marcelli Indexing and retrieving cursive documents without recognition. 1-4 2008 ICPR https://doi.org/10.1109/ICPR.2008.4761833 https://doi.ieeecomputersociety.org/10.1109/ICPR.2008.4761833 conf/icpr/2008 db/conf/icpr/icpr2008.html#ClavelliCSM08 Luigi P. Cordella Claudio De Stefano Francesco Fontanella Cristina Marrocco A feature selection algorithm for handwritten character recognition. 1-4 2008 ICPR https://doi.org/10.1109/ICPR.2008.4761834 https://doi.ieeecomputersociety.org/10.1109/ICPR.2008.4761834 conf/icpr/2008 db/conf/icpr/icpr2008.html#CordellaSFM08

Angelo Marcelli Claudio De Stefano Editorial. 1-4 2007 21 Int. J. Pattern Recognit. Artif. Intell. 1 https://doi.org/10.1142/S0218001407005260 db/journals/ijprai/ijprai21.html#MarcelliS07

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. 43-59 2007 21 Int. J. Pattern Recognit. Artif. Intell. 1 https://doi.org/10.1142/S0218001407005296 db/journals/ijprai/ijprai21.html#StefanoDFM07

Luigi P. Cordella Claudio De Stefano Francesco Fontanella Evolutionary Prototyping for Handwriting Recognition. 157-178 2007 21 Int. J. Pattern Recognit. Artif. Intell. 1 https://doi.org/10.1142/S0218001407005351 db/journals/ijprai/ijprai21.html#CordellaSF07

Antonio Della Cioppa Claudio De Stefano Angelo Marcelli Where Are the Niches? Dynamic Fitness Sharing. 453-465 2007 11 IEEE Trans. Evol. Comput. 4 https://doi.org/10.1109/TEVC.2006.882433 https://www.wikidata.org/entity/Q59830741 db/journals/tec/tec11.html#CioppaSM07

Claudio De Stefano Ciro D'Elia Angelo Marcelli Alessandra Scotto di Freca Using Bayesian Network for combining classifiers. 73-80 2007 conf/iciap/2007 ICIAP https://doi.org/10.1109/ICIAP.2007.4362760 https://doi.ieeecomputersociety.org/10.1109/ICIAP.2007.129 db/conf/iciap/iciap2007.html#StefanoDMF07 Claudio De Stefano Francesco Fontanella Cristina Marrocco Gilda Schirinzi A feature selection algorithm for class discrimination improvement. 425-428 2007 IGARSS https://doi.org/10.1109/IGARSS.2007.4422821 conf/igarss/2007 db/conf/igarss/igarss2007.html#StefanoFMS07 Claudio De Stefano Antonio Della Cioppa Angelo Marcelli An Evolutionary Approach for Dynamic Configuration of Multi-expert Classification Systems. 2444-2450 2006 IEEE Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2006.1688612 conf/cec/2006 db/conf/cec/cec2006.html#StefanoCM06 Luigi P. Cordella Claudio De Stefano Francesco Fontanella Angelo Marcelli Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier. 391-402 2006 conf/evoW/2006 EvoWorkshops https://doi.org/10.1007/11732242_35 db/conf/evoW/evoW2006.html#CordellaSFM06 Claudio De Stefano Ciro D'Elia Angelo Marcelli Alessandra Scotto di Freca Improving Dynamic Learning Vector Quantization. 804-807 2006 conf/icpr/2006 ICPR (2) https://doi.org/10.1109/ICPR.2006.699 https://doi.ieeecomputersociety.org/10.1109/ICPR.2006.699 db/conf/icpr/icpr2006-2.html#StefanoDMF06 Luigi P. Cordella Claudio De Stefano Francesco Fontanella Angelo Marcelli Looking for Prototypes by Genetic Programming. 152-159 2006 conf/iwicpas/2006 IWICPAS https://doi.org/10.1007/11821045_16 db/conf/iwicpas/iwicpas2006.html#CordellaSFM06 Luigi P. Cordella Claudio De Stefano Francesco Fontanella Angelo Marcelli Genetic programming for generating prototypes in classification problems. 1149-1155 2005 conf/cec/2005 Congress on Evolutionary Computation https://doi.org/10.1109/CEC.2005.1554820 db/conf/cec/cec2005.html#CordellaSFM05 Luigi P. Cordella Claudio De Stefano Francesco Fontanella Angelo Marcelli <i>EvoGeneS</i>, a New Evolutionary Approach to Graph Generation. 46-57 https://doi.org/10.1007/978-3-540-31996-2_5 2005 conf/evoW/2005cop EvoCOP db/conf/evoW/evocop2005.html#CordellaSFM05 Luigi P. Cordella Claudio De Stefano Francesco Fontanella Angelo Marcelli A Novel Genetic Programming Based Approach for Classification Problems. 727-734 2005 conf/iciap/2005 ICIAP https://doi.org/10.1007/11553595_89 db/conf/iciap/iciap2005.html#CordellaSFM05 Claudio De Stefano Marco Garruto Luis Lapresa Angelo Marcelli Using Strings for On-Line Handwriting Shape Matching: A New Weighted Edit Distance. 1125-1132 2005 conf/iciap/2005 ICIAP https://doi.org/10.1007/11553595_138 db/conf/iciap/iciap2005.html#StefanoGLM05

Claudio De Stefano Gianluca Guadagno Angelo Marcelli A Saliency-Based Segmentation Method For Online Cursive Handwriting. 1139-1156 2004 18 Int. J. Pattern Recognit. Artif. Intell. 7 https://doi.org/10.1142/S021800140400368X db/journals/ijprai/ijprai18.html#StefanoGM04

Claudio De Stefano Angelo Marcelli An Efficient Method For Online Cursive Handwriting Strokes Reordering. 1157-1171 2004 18 Int. J. Pattern Recognit. Artif. Intell. 7 https://doi.org/10.1142/S0218001404003691 db/journals/ijprai/ijprai18.html#StefanoM04

Antonio Della Cioppa Claudio De Stefano Angelo Marcelli On the role of population size and niche radius in fitness sharing. 580-592 2004 8 IEEE Trans. Evol. Comput. 6 https://doi.org/10.1109/TEVC.2004.837341 https://www.wikidata.org/entity/Q59830767 db/journals/tec/tec8.html#CioppaSM04

Claudio De Stefano Marco Garruto Angelo Marcelli A saliency-based multiscale method for on-line cursive handwriting shape description. 124-129 2004 IWFHR https://doi.org/10.1109/IWFHR.2004.8 https://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.8 conf/icfhr/2004 db/conf/icfhr/iwfhr2004.html#StefanoGM04 Claudio De Stefano Ciro D'Elia Angelo Marcelli A Dynamic Approach to Learning Vector Quantization. 601-604 2004 conf/icpr/2004 ICPR (4) https://doi.org/10.1109/ICPR.2004.1333844 https://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1333844 db/conf/icpr/icpr2004-4.html#StefanoDM04 Claudio De Stefano Marco Garruto Angelo Marcelli A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction. 614-617 2004 conf/icpr/2004 ICPR (2) https://doi.org/10.1109/ICPR.2004.1334323 https://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334323 db/conf/icpr/icpr2004-2.html#StefanoGM04 Claudio De Stefano Antonio Della Cioppa Angelo Marcelli Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. 671-675 2003 conf/icdar/2003 ICDAR https://doi.org/10.1109/ICDAR.2003.1227747 https://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227747 https://www.wikidata.org/entity/Q59830768 db/conf/icdar/icdar2003.html#StefanoCM03

Claudio De Stefano Antonio Della Cioppa Angelo Marcelli Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning. 1025-1037 2002 35 Pattern Recognit. 5 https://doi.org/10.1016/S0031-3203(01)00091-7 https://www.wikidata.org/entity/Q59830772 db/journals/pr/pr35.html#StefanoCM02

Claudio De Stefano Antonio Della Cioppa Angelo Marcelli Character preclassification based on genetic programming. 1439-1448 2002 23 Pattern Recognit. Lett. 12 https://doi.org/10.1016/S0167-8655(02)00104-6 https://www.wikidata.org/entity/Q59830774 db/journals/prl/prl23.html#StefanoCM02

Claudio De Stefano Angelo Marcelli From ligatures to characters: a shape-based algorithm for handwriting segmentation. 473-478 2002 IWFHR https://doi.org/10.1109/IWFHR.2002.1030955 https://doi.ieeecomputersociety.org/10.1109/IWFHR.2002.1030955 conf/icfhr/2002 db/conf/icfhr/iwfhr2002.html#StefanoM02 Claudio De Stefano Antonio Della Cioppa Angelo Marcelli An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers. 192-195 2002 conf/icpr/2002 ICPR (2) https://doi.org/10.1109/ICPR.2002.1048270 https://doi.ieeecomputersociety.org/10.1109/ICPR.2002.1048270 db/conf/icpr/icpr2002-2.html#StefanoCM02

Claudio De Stefano Antonio Iuliano Angelo Marcelli A Shape-Based Algorithm for Detecting Ligatures in On-Line Handwriting. 187-194 2001 7 Intell. Autom. Soft Comput. 3 https://doi.org/10.1080/10798587.2000.10642816 db/journals/iasc/iasc7.html#StefanoIM01

Claudio De Stefano Antonio Della Cioppa Angelo Marcelli An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms. 952-956 2001 conf/icdar/2001 ICDAR https://doi.org/10.1109/ICDAR.2001.953926 https://doi.ieeecomputersociety.org/10.1109/ICDAR.2001.953926 https://www.wikidata.org/entity/Q59830779 db/conf/icdar/icdar2001.html#StefanoCM01 Claudio De Stefano Maria Frucci Spatial Relations among Pattern Subsets as a Guide for Skeleton Pruning. 155-164 2001 conf/iwvf/2001 IWVF https://doi.org/10.1007/3-540-45129-3_13 db/conf/iwvf/iwvf2001.html#StefanoF01 Claudio De Stefano Antonio Della Cioppa Angelo Marcelli F. Matarazzo Grouping Character Shapes by Means of Genetic Programming. 504-513 2001 conf/iwvf/2001 IWVF https://doi.org/10.1007/3-540-45129-3_46 https://www.wikidata.org/entity/Q59830781 db/conf/iwvf/iwvf2001.html#StefanoCMM01

Claudio De Stefano Carlo Sansone Mario Vento To reject or not to reject: that is the question-an answer in case of neural classifiers. 84-94 2000 30 IEEE Trans. Syst. Man Cybern. Part C 1 db/journals/tsmc/tsmcc30.html#StefanoSV00 https://doi.org/10.1109/5326.827457 https://www.wikidata.org/entity/Q57938706

Claudio De Stefano Antonio Della Cioppa Angelo Marcelli Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. 64-72 1999 Document Recognition and Retrieval https://doi.org/10.1117/12.335823 conf/drr/1999 db/conf/drr/drr1999.html#StefanoCM99 Luigi P. Cordella Claudio De Stefano Maria Frucci A Robust Shape Decomposition Method. 219-227 1999 conf/grec/1999 GREC https://doi.org/10.1007/3-540-40953-X_18 db/conf/grec/grec1999.html#CordellaSF99 Claudio De Stefano Antonio Della Cioppa Angelo Marcelli Handwritten Numeral Recognition by means of Evolutionary Algorithms. 804-807 1999 conf/icdar/1999 ICDAR https://doi.org/10.1109/ICDAR.1999.791910 https://doi.ieeecomputersociety.org/10.1109/ICDAR.1999.791910 https://www.wikidata.org/entity/Q59830794 db/conf/icdar/icdar1999.html#StefanoCM99 Luigi P. Cordella Claudio De Stefano Antonio Della Cioppa Angelo Marcelli A New Evolutionary Learning Model for Handwritten Character Prototyping. 830-835 1999 conf/iciap/1999 ICIAP https://doi.org/10.1109/ICIAP.1999.797698 https://doi.ieeecomputersociety.org/10.1109/ICIAP.1999.797698 https://www.wikidata.org/entity/Q59830785 db/conf/iciap/iciap1999.html#CordellaSCM99 Claudio De Stefano Pasquale Foggia Francesco Tortorella Mario Vento A distance measure for structural descriptions using circular arcs as primitives. 290-294 1996 ICPR https://doi.org/10.1109/ICPR.1996.546835 https://doi.ieeecomputersociety.org/10.1109/ICPR.1996.546835 conf/icpr/1996 db/conf/icpr/icpr1996.html#StefanoFTV96

Claudio De Stefano Francesco Tortorella Mario Vento An entropy based method for extracting robust binary-templates. 173-178 1995 8 Mach. Vis. Appl. 3 https://doi.org/10.1007/BF01215812 db/journals/mva/mva8.html#StefanoTV95

Luigi P. Cordella Claudio De Stefano Mario Vento A neural network classifier for OCR using structural descriptions. 336-342 1995 8 Mach. Vis. Appl. 5 https://doi.org/10.1007/BF01211495 db/journals/mva/mva8.html#CordellaSV95

Luigi P. Cordella Claudio De Stefano Francesco Tortorella Mario Vento A method for improving classification reliability of multilayer perceptrons. 1140-1147 1995 6 IEEE Trans. Neural Networks 5 https://doi.org/10.1109/72.410358 https://www.wikidata.org/entity/Q52353938 db/journals/tnn/tnn6.html#CordellaSTV95

Luigi P. Cordella Claudio De Stefano Carlo Sansone Mario Vento An Adaptive Reject Option for LVQ Classifiers. 68-73 1995 conf/iciap/1995 ICIAP db/conf/iciap/iciap1995.html#CordellaSSV95 https://doi.org/10.1007/3-540-60298-4_238 Antonio d'Acierno Claudio De Stefano Francesco Tortorella Mario Vento Can a sequential thinning algorithm be parallelized? 360-362 1994 ICPR (3) https://doi.org/10.1109/ICPR.1994.577202 https://doi.ieeecomputersociety.org/10.1109/ICPR.1994.577202 conf/icpr/1994-3 db/conf/icpr/icpr1994-3.html#dAciernoSTV94 Claudio De Stefano Francesco Tortorella Mario Vento Using entropy for drawing reliable templates. 345-348 1993 ICDAR https://doi.org/10.1109/ICDAR.1993.395718 https://doi.ieeecomputersociety.org/10.1109/ICDAR.1993.395718 conf/icdar/1993 db/conf/icdar/icdar1993.html#StefanoTV93 Luigi P. Cordella Claudio De Stefano Francesco Tortorella Mario Vento Improving character recognition rate by a multi-net neural classifier. 615-618 1992 ICPR (2) https://doi.org/10.1109/ICPR.1992.201852 conf/icpr/1992-2 db/conf/icpr/icpr1992-2.html#CordellaSTV92 Claudio De Stefano Francesco Tortorella Mario Vento A method for the recognition of symbols on geographic maps. 734-737 1992 ICPR (1) https://doi.org/10.1109/ICPR.1992.201665 conf/icpr/1992-1 db/conf/icpr/icpr1992-1.html#StefanoTV92 Andrea Amodei Irene Azzali Claudio Babiloni Carmine Bourelly Alessandro Bria Moisés Díaz CabreraMoisés Díaz Marco Cantone Domenico Capriglione Giulia Di Capua Cristina Carmona-Duarte Luca Cicala Nicole Dalia Cilia Antonio Della Cioppa Antonio Clavelli Luigi P. Cordella Antonio d'Acierno Tiziana D'Alessandro Ciro D'Elia Nicola Femia Miguel A. FerrerMiguel Ángel Ferrer Raffaele Ferri Luigi Ferrigno Mariano Focareta Pasquale Foggia Gianluigi Folino Francesco Fontanella Alessandra Scotto di Freca Giovanni B. Frisoni Maria Frucci Svonko Galasso Marco Garruto Luca Gerevini Mario Giacobini Franco Giubilei Giuseppe De Gregorio Gianluca Guadagno Henkjan J. HuismanHenkjan Huisman Donato Impedovo Antonio Iuliano Luis Lapresa Roberta Lizio Susanna Lopez Gabriele Lozupone Marilena Maniaci Angelo Marcelli Fabrizio Marignetti Claudio Marrocco Cristina Marrocco Isabelle Marthot-Santaniello F. Matarazzo Frederick J. A. Meijer Giuseppe Meoli Alessio Miele Filippo Milano Mario Molinara Hamza Mustafa Emanuele Nardone Flavio Nobili Giuseppe Noce Alessandro Marco De Nunzio Nunzio Oliva Cesare Davide Pace Maria Francesca De Pandis Sara Parrilli Antonio Parziale Claudio Del Percio Sonia Pinelli Giuseppe Pirlo Réjean Plamondon Francesco Porpora Olga Pustovalova Mario Quarantelli Stefano Raimondo Vincenzo Rega Giovanni N. Roviello Ciro Russo Carlo Sansone Adolfo Santoro Filippo Sarria Gilda Schirinzi Rosa Senatore Sabato Marco Siniscalchi Fabrizio Stocchi Francesco Tortorella Leonardo Vanneschi Mario Vento Caterina Vicidomini Michele Vitelli