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G. Giacinto, “Moving Targets - When Data Classes Depend on Subjective Judgement, or They Are Crafted by an Adversary to Mislead Pattern Analysis Algorithms - The Cases of Content Based Image Retrieval and Adversarial Classification”, in Advances in Data Mining. Applications and Theoretical Aspects, vol. LNCS 6171, P. Perner Springer-Verlag, 2010, pp. 1-16.
G. Giacinto and Roli, F., “Instance-Based Relevance Feedback in Image Retrieval using Dissimilarity Spaces”, in Case-Based Reasoning for signals and images, P. Perner Springer, 2007.
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.
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., “Bayesian Relevance Feedback for Content-Based Image Retrieval”, Pattern Recognition, vol. 37, pp. 1499-1508, 2004.
G. Giacinto, Roli, F., and Didaci, L., “Fusion of multiple classifiers for intrusion detection in computer networks”, Pattern Recognition Letters, vol. 24, pp. 1795-1803, 2003.
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., “Design of effective neural network ensembles for image classification”, Image and Vision Computing Journal, vol. 19, pp. 697-705, 2001.
G. Giacinto and Roli, F., “Dynamic Classifier Selection Based on Multiple Classifier Behaviour”, Pattern Recognition, vol. 34, pp. 179-181, 2001.
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 Fumera, G., “Selection of image classifiers”, Electronics Letters, vol. 36, pp. 420-422, 2000.
G. Giacinto, Paolucci, R., and Roli, F., “Application of Neural Networks and Statistical Pattern Recognition Algorithms to Earthquake Risk Evaluations”, Pattern Recognition Letters, vol. 18, pp. 1353-1362, 1997.
G. Giacinto, “A Nearest-Neighbor Approach to Relevance Feedback in Content Based Image Retrieval”, in 6th ACM international conference on Image and video retrieval (CIVR'07), Amsterdam, 2007, pp. 456-463.
G. Giacinto, Perdisci, R., and Roli, F., “Alarm Clustering for Intrusion Detection Systems in Computer Networks”, in Machine Learning and Data Mining in Pattern Recognition (MLDM 2005), Leipzig, Germany, 2005, vol. 3587, pp. 184-193.
G. Giacinto and Roli, F., “Instance-Based Relevance Feedback for Image Retrieval”, in Advances in Neural Information Processing Systems (NIPS) 17, 2005, pp. 489-496.
G. Giacinto, Perdisci, R., and Roli, F., “Network Intrusion Detection by Combining One-class Classifiers”, in 13th International Conference on Image Analysis and Processing (ICIAP 2005), Cagliari, Italy, 2005, vol. 3617, pp. 58-65.
G. Giacinto, Roli, F., and Tronci, R., “Score Selection Techniques for Fingerprint Multi-modal Biometric Authentication”, in 13th International Conference on Image Analysis and Processing (ICIAP 2005), Cagliari (Italy), 2005, vol. 3617, pp. 1018-1025.
G. Giacinto and Roli, F., “Nearest-Prototype Relevance Feedback for Content Based Image Retrieval”, in Int. Conf. on Pattern Recognition (ICPR 2004), Cambridge (UK), 2004, pp. 989-992.
G. Giacinto, Roli, F., and Didaci, L., “A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks”, in 4th Int. Workshop on Multiple Classifier Systems (MCS 2003), Guildford, United Kingdom, 2003, vol. 2709, pp. 346-355.
G. Giacinto and Roli, F., “Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval”, in Machine Learning and Data Mining in Pattern Recognition (MLDM 2003), Leipzig, Germany, 2003, vol. 2734, pp. 202-214.
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.
G. Giacinto and Roli, F., “Query Shifting Based on Bayesian Decision Theory for Content-Based Image Retrieval”, in oint IAPR Int. Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (S+SSPR 2002), 2002, vol. 2396, pp. 607-616.
G. Giacinto, Roli, F., and Fumera, G., “Adaptive Query Shifting for Content-Based Image Retrieval”, in Int. Workshop on Machine Learning and Data Mining in Pattern Recognition (MLDM’01), 2001, vol. 2123, pp. 337-346.
G. Giacinto, Roli, F., and Fumera, G., “Comparison and Combination of Adaptive Query Shifting and Feature Relevance Learning for Content-Based Image Retrieval”, in 11th International Conference on Image Analysis and Processing (ICIAP 2001), Palermo, Italy, 2001, pp. 422-427.
G. Giacinto and Roli, F., “A theoretical framework for dynamic classifier selection”, in 15th International Conference on Pattern Recognition, Barcelona, Spain, 2000, vol. 2, pp. 8-11.

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