Publications

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D. Ariu, Giacinto, G., and Roli, F., Machine Learning in Computer Forensics (and the Lessons Learned from Machine Learning in Computer Security), in AISec 2011: 4th ACM Workshop on Artificial Intelligence and Security, Chicago, IL, USA, 2011. (379.05 KB)
D. Ariu, Corona, I., Tronci, R., and Giacinto, G., Machine Learning in Security Applications, in Machine Learning, Software Engineering and Standardization, P. Perner ibai-publishing, 2013.
A. Gambardella, Giacinto, G., and Migliaccio, M., On the Mathematical Formulation of the SAR Oil-Spill Observation Problem, in IEEE International Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008, 2008, vol. 3, p. III -1382-III -1385.
R. Perdisci, Ariu, D., Fogla, P., Giacinto, G., and Lee, W., McPAD: A Multiple Classifier System for Accurate Payload-based Anomaly Detection, Computer Networks, vol. 53, pp. 864-881, 2009. (882.94 KB)
D. Ariu, Corona, I., Giacinto, G., and Roli, F., McPAD and HMMWeb: two different approaches for the detection of attacks against Web applications, in Italian Workshop on Privacy and Security (PRISE), Rome, 2008. (309.2 KB)
F. Roli, Giacinto, G., and Vernazza, G., Methods for Designing Multiple Classifier Systems, in 2nd Int. Workshop on Multiple Classifier Systems (MCS 2001), Cambridge, United Kingdom, 2001, vol. 2096, pp. 78-87.
G. Giacinto and Roli, F., Methods for Dynamic Classifier Selection, in 10th International Conference on Image Analysis and Processing, Venice, Italy, 1999, pp. 659-664.
D. Ariu and Giacinto, G., A modular architecture for the analysis of HTTP payloads based on Multiple Classifiers, in 10th Int. Workshop on Multiple Classifier Systems (MCS 2011), Naples, Italy, 2011. (244.9 KB)
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, 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.
D. - T. Dang-Nguyen, Boato, G., De Natale, F. G. B., Piras, L., Giacinto, G., Tuveri, F., and Angioni, M., Multimodal-based Diversified Summarization in Social Image Retrieval, in Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015., 2015. (755.79 KB)
G. Fumera, Roli, F., and Giacinto, G., Multiple Reject Thresholds for Improving Classification Reliability, in Joint IAPR Int. Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (S+SSPR 2000), Alicante, Spain, 2000, vol. 1876, pp. 863-871.