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Claudio DE STEFANO
Claudio DE STEFANO
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Title
Cited by
Cited by
Year
To reject or not to reject: that is the question-an answer in case of neural classifiers
C De Stefano, C Sansone, M Vento
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2000
3262000
Handwriting analysis to support neurodegenerative diseases diagnosis: A review
C De Stefano, F Fontanella, D Impedovo, G Pirlo, AS di Freca
Pattern Recognition Letters 121, 37-45, 2019
1602019
A GA-based feature selection approach with an application to handwritten character recognition
C De Stefano, F Fontanella, C Marrocco, AS Di Freca
Pattern Recognition Letters 35, 130-141, 2014
1602014
A method for improving classification reliability of multilayer perceptrons
LP Cordella, C De Stefano, F Tortorella, M Vento
IEEE Transactions on Neural Networks 6 (5), 1140-1147, 1995
1431995
Low frequency of severe hepatotoxicity and association with HCV coinfection in HIV-positive patients treated with HAART
AA Monforte, R Bugarini, P Pezzotti, A De Luca, A Antinori, C Mussini, ...
JAIDS Journal of Acquired Immune Deficiency Syndromes 28 (2), 114-123, 2001
1392001
Where are the niches? Dynamic fitness sharing
A Della Cioppa, C De Stefano, A Marcelli
IEEE Transactions on Evolutionary Computation 11 (4), 453-465, 2007
1352007
A ranking-based feature selection approach for handwritten character recognition
ND Cilia, C De Stefano, F Fontanella, AS di Freca
Pattern Recognition Letters 121, 77-86, 2019
1292019
On the role of population size and niche radius in fitness sharing
A Della Cioppa, C De Stefano, A Marcelli
IEEE Transactions on Evolutionary Computation 8 (6), 580-592, 2004
1162004
Reliable writer identification in medieval manuscripts through page layout features: The “Avila” Bible case
C De Stefano, M Maniaci, F Fontanella, AS di Freca
Engineering Applications of Artificial Intelligence 72, 99-110, 2018
662018
An experimental comparison of feature-selection and classification methods for microarray datasets
ND Cilia, C De Stefano, F Fontanella, S Raimondo, A Scotto di Freca
Information 10 (3), 109, 2019
632019
An experimental protocol to support cognitive impairment diagnosis by using handwriting analysis
ND Cilia, C De Stefano, F Fontanella, AS Di Freca
Procedia Computer Science 141, 466-471, 2018
532018
Minor mutations in HIV protease at baseline and appearance of primary mutation 90M in patients for whom their first protease-inhibitor antiretroviral regimens failed
CF Perno, A Cozzi-Lepri, F Forbici, A Bertoli, M Violin, MS Mura, G Cadeo, ...
The Journal of infectious diseases 189 (11), 1983-1987, 2004
492004
An end-to-end deep learning system for medieval writer identification
ND Cilia, C De Stefano, F Fontanella, C Marrocco, M Molinara, ...
Pattern Recognition Letters 129, 137-143, 2020
452020
Diagnosing Alzheimer’s disease from on-line handwriting: A novel dataset and performance benchmarking
ND Cilia, G De Gregorio, C De Stefano, F Fontanella, A Marcelli, ...
Engineering Applications of Artificial Intelligence 111, 104822, 2022
442022
A feature selection algorithm for handwritten character recognition
L Cordella, C De Stefano, F Fontanella, C Marrocco
2008 19th International Conference on Pattern Recognition, 1-4, 2008
442008
An adaptive weighted majority vote rule for combining multiple classifiers
C De Stefano, A Della Cioppa, A Marcelli
2002 International Conference on Pattern Recognition 2, 192-195, 2002
432002
A Bayesian approach for combining ensembles of GP classifiers
C De Stefano, F Fontanella, G Folino, AS Di Freca
Multiple Classifier Systems: 10th International Workshop, MCS 2011, Naples …, 2011
402011
A method for scribe distinction in medieval manuscripts using page layout features
C De Stefano, F Fontanella, M Maniaci, A Scotto di Freca
Image Analysis and Processing–ICIAP 2011: 16th International Conference …, 2011
392011
Character preclassification based on genetic programming
C De Stefano, A Della Cioppa, A Marcelli
Pattern Recognition Letters 23 (12), 1439-1448, 2002
382002
Neural network classification reliability: Problems and applications
LP Cordella, C Sansone, F Tortorella, M Vento, C De Stefano
Neural Networks Systems Techniques and Applications 5, 161-200, 1998
351998
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