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2020 – today
- 2024
[j35]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: 107891 (2024)- [j34]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: 101571 (2024) - [c85]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: 397-412 - [c84]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. ICDAR (2) 2024: 334-351 - [c83]Alessio Miele, Hamza Mustafa, Michele Vitelli, Alessandro Bria, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
UniCas for Industry. Ital-IA 2024: 253-258 - [c82]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. Ital-IA 2024: 330-335 - [i3]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 abs/2405.16959 (2024) - [i2]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 abs/2407.02418 (2024) - 2023
- [j33]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: 39-46 (2023) - [c81]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 2023: 461-474 - [c80]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: 103-121 - [c79]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: 122-135 - [c78]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: 422-436 - [c77]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: 309-323 - [e1]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. Communications in Computer and Information Science 1780, Springer 2023, ISBN 978-3-031-31182-6 [contents] - [i1]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 abs/2307.04762 (2023) - 2022
- [j32]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: 104822 (2022) - [j31]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): 49 (2022) - [j30]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): 111 (2022) - [c76]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: 517-530 - [c75]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: 322-335 - [c74]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: 137-147 - [c73]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: 632-643 - [c72]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: 2807-2813 - [c71]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: 245-253 - 2021
- [j29]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: 78226-78240 (2021) - [j28]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): 4243-4254 (2021) - [c70]Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Mario Molinara:
A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. EvoApplications 2021: 781-794 - [c69]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: 139-150 - 2020
- [j27]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): 89 (2020) - [j26]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: 137-143 (2020) - [j25]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: 198-204 (2020) - [j24]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: 375-381 (2020) - [c68]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Using Genetic Algorithms for the Prediction of Cognitive Impairments. EvoApplications 2020: 479-493 - [c67]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: 53-63 - [c66]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: 223-234 - [c65]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Handwriting-Based Classifier Combination for Cognitive Impairment Prediction. ICPR Workshops (1) 2020: 587-599 - [c64]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: 9904-9911
2010 – 2019
- 2019
- [j23]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): 109 (2019) - [j22]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: 1-5 (2019) - [j21]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: 37-45 (2019) - [j20]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: 77-86 (2019) - [c63]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: 143-151 - [c62]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: 305-316 - [c61]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: 325-340 - [c60]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: 187-197 - [c59]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: 198-208 - [c58]Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca:
Using Handwriting Features to Characterize Cognitive Impairment. ICIAP (2) 2019: 683-693 - [c57]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: 113-123 - 2018
- [j19]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: 99-110 (2018) - [c56]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: 902-910 - [c55]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: 466-471 - [c54]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: 439-454 - [c53]Claudio De Stefano, Francesco Fontanella, Angelo Marcelli, Antonio Parziale, Alessandra Scotto di Freca:
Recovering Segmentation Errors in Handwriting Recognition Systems. ICIC (2) 2018: 631-642 - [d1]Claudio De Stefano, Francesco Fontanella, Marilena Maniaci, Alessandra Scotto di Freca:
Avila. UCI Machine Learning Repository, 2018
- 2017
- [c52]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: 9-16 - [c51]Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
A novel mutation operator for the evolutionary learning of Bayesian networks. CEC 2017: 1999-2006 - [c50]Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Feature Selection in High Dimensional Data by a Filter-Based Genetic Algorithm. EvoApplications (1) 2017: 506-521 - [c49]Adolfo Santoro, Claudio De Stefano, Angelo Marcelli:
Assisted Transcription of Historical Documents by Keyword Spotting: A Performance Model. ICDAR 2017: 971-976 - 2016
- [c48]Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
A Novel GA-based Feature Selection Approach for High Dimensional Data. GECCO (Companion) 2016: 87-88 - 2015
- [c47]Angelo Marcelli, Antonio Parziale, Claudio De Stefano:
Quantitative evaluation of features for Forensic Handwriting Examination. ICDAR 2015: 1266-1271 - 2014
- [j18]Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca:
Using Bayesian networks for selecting classifiers in GP ensembles. Inf. Sci. 258: 200-216 (2014) - [j17]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: 130-141 (2014) - [c46]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: 569-574 - [c45]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Random Forest for Reliable Pre-classification of Handwritten Characters. ICPR 2014: 1319-1324 - 2013
- [j16]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli:
EvoGeneSys, a new evolutionary approach to graph generation. Appl. Soft Comput. 13(4): 1922-1938 (2013) - [c44]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
A Weighted Majority Vote Strategy Using Bayesian Networks. ICIAP (2) 2013: 219-228 - [c43]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
Evolutionary approaches for pooling classifier ensembles: Performance evaluation. SoCPaR 2013: 309-314 - 2012
- [c42]Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
A Novel Naive Bayes Voting Strategy for Combining Classifiers. ICFHR 2012: 467-472 - [c41]Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca:
Pruning GP-Based Classifier Ensembles by Bayesian Networks. PPSN (1) 2012: 236-245 - 2011
- [c40]Claudio De Stefano, Gianluigi Folino, Francesco Fontanella, Alessandra Scotto di Freca:
Using bayesian networks for selecting classifiers in GP ensembles. GECCO (Companion) 2011: 173-174 - [c39]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: 393-402 - [c38]Claudio De Stefano, Francesco Fontanella, Gianluigi Folino, Alessandra Scotto di Freca:
A Bayesian Approach for Combining Ensembles of GP Classifiers. MCS 2011: 26-35 - 2010
- [c37]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: 221-230 - [c36]Claudio De Stefano, Angelo Marcelli, Antonio Parziale, Rosa Senatore:
Reading Cursive Handwriting. ICFHR 2010: 95-100 - [c35]Luigi P. Cordella, Claudio De Stefano, Angelo Marcelli, Adolfo Santoro:
Writing Order Recovery from Off-Line Handwriting by Graph Traversal. ICPR 2010: 1896-1899 - [c34]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: 4352-4355
2000 – 2009
- 2009
- [j15]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): 887-905 (2009) - [c33]Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca, Angelo Marcelli:
Learning Bayesian Networks by Evolution for Classifier Combination. ICDAR 2009: 966-970 - 2008
- [c32]Claudio De Stefano, Francesco Fontanella, Cristina Marrocco:
A GA-Based Feature Selection Algorithm for Remote Sensing Images. EvoWorkshops 2008: 285-294 - [c31]Antonio Clavelli, Luigi P. Cordella, Claudio De Stefano, Angelo Marcelli:
Indexing and retrieving cursive documents without recognition. ICPR 2008: 1-4 - [c30]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Cristina Marrocco:
A feature selection algorithm for handwritten character recognition. ICPR 2008: 1-4 - 2007
- [j14]Angelo Marcelli, Claudio De Stefano:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 21(1): 1-4 (2007) - [j13]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): 43-59 (2007) - [j12]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella:
Evolutionary Prototyping for Handwriting Recognition. Int. J. Pattern Recognit. Artif. Intell. 21(1): 157-178 (2007) - [j11]Antonio Della Cioppa, Claudio De Stefano, Angelo Marcelli:
Where Are the Niches? Dynamic Fitness Sharing. IEEE Trans. Evol. Comput. 11(4): 453-465 (2007) - [c29]Claudio De Stefano, Ciro D'Elia, Angelo Marcelli, Alessandra Scotto di Freca:
Using Bayesian Network for combining classifiers. ICIAP 2007: 73-80 - [c28]Claudio De Stefano, Francesco Fontanella, Cristina Marrocco, Gilda Schirinzi:
A feature selection algorithm for class discrimination improvement. IGARSS 2007: 425-428 - 2006
- [c27]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: 2444-2450 - [c26]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli:
Evolutionary Generation of Prototypes for a Learning Vector Quantization Classifier. EvoWorkshops 2006: 391-402 - [c25]Claudio De Stefano, Ciro D'Elia, Angelo Marcelli, Alessandra Scotto di Freca:
Improving Dynamic Learning Vector Quantization. ICPR (2) 2006: 804-807 - [c24]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli:
Looking for Prototypes by Genetic Programming. IWICPAS 2006: 152-159 - 2005
- [c23]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli:
Genetic programming for generating prototypes in classification problems. Congress on Evolutionary Computation 2005: 1149-1155 - [c22]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli:
EvoGeneS, a New Evolutionary Approach to Graph Generation. EvoCOP 2005: 46-57 - [c21]Luigi P. Cordella, Claudio De Stefano, Francesco Fontanella, Angelo Marcelli:
A Novel Genetic Programming Based Approach for Classification Problems. ICIAP 2005: 727-734 - [c20]Claudio De Stefano, Marco Garruto, Luis Lapresa, Angelo Marcelli:
Using Strings for On-Line Handwriting Shape Matching: A New Weighted Edit Distance. ICIAP 2005: 1125-1132 - 2004
- [j10]Claudio De Stefano, Gianluca Guadagno, Angelo Marcelli:
A Saliency-Based Segmentation Method For Online Cursive Handwriting. Int. J. Pattern Recognit. Artif. Intell. 18(7): 1139-1156 (2004) - [j9]Claudio De Stefano, Angelo Marcelli:
An Efficient Method For Online Cursive Handwriting Strokes Reordering. Int. J. Pattern Recognit. Artif. Intell. 18(7): 1157-1171 (2004) - [j8]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): 580-592 (2004) - [c19]Claudio De Stefano, Marco Garruto, Angelo Marcelli:
A saliency-based multiscale method for on-line cursive handwriting shape description. IWFHR 2004: 124-129 - [c18]Claudio De Stefano, Ciro D'Elia, Angelo Marcelli:
A Dynamic Approach to Learning Vector Quantization. ICPR (4) 2004: 601-604 - [c17]Claudio De Stefano, Marco Garruto, Angelo Marcelli:
A Multiresolution Approach to On-line Handwriting Segmentation and Feature Extraction. ICPR (2) 2004: 614-617 - 2003
- [c16]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms. ICDAR 2003: 671-675 - 2002
- [j7]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
Learning handwriting by evolution: a conceptual framework for performance evaluation and tuning. Pattern Recognit. 35(5): 1025-1037 (2002) - [j6]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
Character preclassification based on genetic programming. Pattern Recognit. Lett. 23(12): 1439-1448 (2002) - [c15]Claudio De Stefano, Angelo Marcelli:
From ligatures to characters: a shape-based algorithm for handwriting segmentation. IWFHR 2002: 473-478 - [c14]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
An Adaptive Weighted Majority Vote Rule for Combining Multiple Classifiers. ICPR (2) 2002: 192-195 - 2001
- [j5]