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2020 – today
- 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) - [c65]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 - [c64]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
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 - 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]Claudio De Stefano, Antonio Iuliano, Angelo Marcelli:
A Shape-Based Algorithm for Detecting Ligatures in On-Line Handwriting. Intell. Autom. Soft Comput. 7(3): 187-194 (2001) - [c13]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
An Investigation on MPEG Audio Segmentation by Evolutionary Algorithms. ICDAR 2001: 952-956 - [c12]Claudio De Stefano, Maria Frucci:
Spatial Relations among Pattern Subsets as a Guide for Skeleton Pruning. IWVF 2001: 155-164 - [c11]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli, F. Matarazzo:
Grouping Character Shapes by Means of Genetic Programming. IWVF 2001: 504-513 - 2000
- [j4]Claudio De Stefano, Carlo Sansone, Mario Vento:
To reject or not to reject: that is the question-an answer in case of neural classifiers. IEEE Trans. Syst. Man Cybern. Part C 30(1): 84-94 (2000)
1990 – 1999
- 1999
- [c10]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
Modeling the trade-off between completeness and consistency in genetic-based handwritten character prototyping. Document Recognition and Retrieval 1999: 64-72 - [c9]Luigi P. Cordella, Claudio De Stefano, Maria Frucci:
A Robust Shape Decomposition Method. GREC 1999: 219-227 - [c8]Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
Handwritten Numeral Recognition by means of Evolutionary Algorithms. ICDAR 1999: 804-807 - [c7]Luigi P. Cordella, Claudio De Stefano, Antonio Della Cioppa, Angelo Marcelli:
A New Evolutionary Learning Model for Handwritten Character Prototyping. ICIAP 1999: 830-835 - 1996
- [c6]Claudio De Stefano, Pasquale Foggia, Francesco Tortorella, Mario Vento:
A distance measure for structural descriptions using circular arcs as primitives. ICPR 1996: 290-294 - 1995
- [j3]Claudio De Stefano, Francesco Tortorella, Mario Vento:
An entropy based method for extracting robust binary-templates. Mach. Vis. Appl. 8(3): 173-178 (1995) - [j2]Luigi P. Cordella, Claudio De Stefano, Mario Vento:
A neural network classifier for OCR using structural descriptions. Mach. Vis. Appl. 8(5): 336-342 (1995) - [j1]Luigi P. Cordella, Claudio De Stefano, Francesco Tortorella, Mario Vento:
A method for improving classification reliability of multilayer perceptrons. IEEE Trans. Neural Networks 6(5): 1140-1147 (1995) - [c5]Luigi P. Cordella, Claudio De Stefano, Carlo Sansone, Mario Vento:
An Adaptive Reject Option for LVQ Classifiers. ICIAP 1995: 68-73 - 1994
- [c4]Antonio d'Acierno, Claudio De Stefano, Francesco Tortorella, Mario Vento:
Can a sequential thinning algorithm be parallelized? ICPR (3) 1994: 360-362 - 1993
- [c3]Claudio De Stefano, Francesco Tortorella, Mario Vento:
Using entropy for drawing reliable templates. ICDAR 1993: 345-348 - 1992
- [c2]Luigi P. Cordella, Claudio De Stefano, Francesco Tortorella, Mario Vento:
Improving character recognition rate by a multi-net neural classifier. ICPR (2) 1992: 615-618 - [c1]Claudio De Stefano, Francesco Tortorella, Mario Vento:
A method for the recognition of symbols on geographic maps. ICPR (1) 1992: 734-737
Coauthor Index
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