Publications

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Filters: Keyword is mcs00 and Author is Giorgio Giacinto  [Clear All Filters]
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A
G. Giacinto and Roli, F., “Adaptive Selection Of Image Classifiers”, in 9th International Conference on Image Analysis and Processing, Florence, Italy, 1997, pp. 38-45.
G. Giacinto and Roli, F., “An Approach to the Automatic Design of Multiple Classifier Systems”, Pattern Recognition Letters, vol. 22, pp. 25-33, 2001.
G. Giacinto and Roli, F., “Automatic Design of Multiple Classifier Systems by Unsupervised Learning”, in 1st Int. Workshop on Machine Learning and Data Mining in Pattern Recognition, 1999, vol. 1715, pp. 131-143.
B
B. Biggio, Corona, I., Fumera, G., Giacinto, G., and Roli, F., “Bagging classifiers for fighting poisoning attacks in adversarial classification tasks”, in Multiple Classifier Systems (MCS 2011), 2011, vol. 6713, pp. 350-359. (231.43 KB)
C
F. Roli, Giacinto, G., and Serpico, S. B., “Classifier Fusion for Multisensor Image Recognition”, in Image and Signal Processing for Remote Sensing VI, 2001, Sebastiano B. Serpico., vol. 4170, pp. 103-110.
R. Tronci, Giacinto, G., and Roli, F., “Combination of experts by classifiers in similarity score spaces”, in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008, vol. 5342, pp. 821-830.
G. Giacinto, Roli, F., and Bruzzone, L., “Combination of Neural and Statistical Algorithms for Supervised Classification of Remote-Sensing Images”, Pattern Recognition Letters, vol. 21, pp. 385-397, 2000.
G. Giacinto, Roli, F., and Vernazza, G., “Comparison and combination of statistical and Neural Network algorithms for remote-sensing image classification”, in Neurocomputation in Remote Sensing Data Analysis, Springer-Verlag, 1997, pp. 117-124.
D
G. Giacinto and Roli, F., “Design of effective neural network ensembles for image classification”, Image and Vision Computing Journal, vol. 19, pp. 697-705, 2001.
F. Roli and Giacinto, G., “Design of Multiple Classifier Systems”, in Hybrid Methods in Pattern Recognition, B. ;A. H. Kandel World Scientific Publishing, 2002.
R. Tronci, Giacinto, G., and Roli, F., “Designing multiple biometric systems: measures of ensemble effectiveness”, Engineering Applications of Artificial Intelligence, vol. 22, pp. 66-78, 2009.
G. Giacinto and Roli, F., “Dynamic Classifier Selection”, in First Int. Workshop on Multiple Classifier Systems (MCS 2000), Cagliari, Italy, 2000, vol. 1857, pp. 177-189.
G. Giacinto and Roli, F., “Dynamic Classifier Selection Based on Multiple Classifier Behaviour”, Pattern Recognition, vol. 34, pp. 179-181, 2001.
L. Didaci and Giacinto, G., “Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule”, in 5th Int. Workshop on Multiple Classifier Systems (MCS 2004), 2004, vol. 3077.
R. Tronci, Giacinto, G., and Roli, F., “Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method”, in Machine Learning and Data Mining in Pattern Recognition (MLDM 2009), Leipzig, Germany, 2009, vol. 5632, pp. 163-177.
R. Tronci, Giacinto, G., and Roli, F., “Dynamic score combination of binary experts”, in 19th International Conference on Pattern Recognition (ICPR 2008), Tampa (Florida, USA), 2008.
R. Tronci, Giacinto, G., and Roli, F., “Dynamic Score Selection for Fusion of Multiple Biometric Matchers”, in 14th IEEE International Conference on Image Analysis and Processing ICIAP 2007, Modena, Italy, 2007, pp. 15-20.
E
L. Didaci, Giacinto, G., and Roli, F., “Ensemble Learning for Intrusion Detection in Computer Networks”, in AI*IA, Workshop on "Apprendimento automatico: metodi e applicazioni", Siena, Italy, 2002.
G. Giacinto and Roli, F., “Ensembles of Neural Networks for Soft Classification of Remote Sensing Images”, in European Symposium on Intelligent Techniques, Bari, Italy, 1997, pp. 166-170.
H
D. Ariu and Giacinto, G., “HMMPayl: an application of HMM to the analysis of the HTTP Payload”, in Workshop on Applications of Pattern Analysis, 2010. (273.18 KB)
D. Ariu, Tronci, R., and Giacinto, G., “HMMpayl: An Intrusion Detection System Based On Hidden Markov Models”, Computers & Security, vol. 30, pp. 221 - 241, 2011. (1.88 MB)
I
R. Tronci, Giacinto, G., and Roli, F., “Index Driven Combination of Multiple Biometric Experts for AUC Maximisation”, in 7th International Workshop on Multiple Classifiers Systems MCS 2007, Prague (Czech Republic), 2007, vol. 4472, pp. 357-366.
G. Giacinto, Perdisci, R., Del Rio, M., and Roli, F., “Intrusion detection in computer networks by a modular ensemble of one-class classifiers”, Information Fusion, vol. 9, 2008.
G. Giacinto and Roli, F., “Intrusion Detection in Computer Networks by Multiple Classifier Systems”, in 16th International Conference on Pattern Recognition (ICPR 2002), Quebec City, Canada, 2002, vol. II, pp. 390-393.
I. Corona, Giacinto, G., and Roli, F., “Intrusion Detection in Computer Systems using Multiple Classifer Systems”, in Supervised and Unsupervised Ensemble Methods and Their Applications, O. Okun and G. Valentini., Springer-Verlag, Berlin/Heidelberg, 2008, pp. 91-114.

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