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J. Armin, Thompson, B., Kijewski, P., Ariu, D., Giacinto, G., and Roli, F., 2020 Cybercrime Economic Costs: No measure No solution, in First International Workshop on Future Scenarios for Cybercrime and Cyber-terrorism, co-located with the 10th International Conference on Availability, Reliability and Security (ARES), 2015. (526.44 KB)
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M. A. A. Dewan, Granger, E., Marcialis, G. L., Sabourin, R., and Roli, F., Adaptive Appearance Model Tracking for Still-to-Video Face Recognition, Pattern Recognition, vol. 49, no. 1, 2016. (6.51 MB)
F. Roli, Didaci, L., and Marcialis, G. L., Adaptive biometric systems that can improve with use, in Advances in Biometrics: Sensors, Systems and Algorithms, R. ;V. N. Govindaraju Springer, 2008, pp. 447-471.
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Adaptive Classification for Person Re-Identification Driven by Change Detection, in 3rd Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2014), 2014. (316.11 KB)
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Adaptive Ensembles for Face Recognition in Changing Video Surveillance Environments, Information Sciences, vol. 206, 2014. (3.17 MB)
L. Didaci, Marcialis, G. L., and Roli, F., Adaptive Multibiometric Systems, in Multibiometrics for Human Identification, B. Bhanu and Govindaraju, V. Cambridge University Press, 2011.
A. Rattani, Marcialis, G. L., and Roli, F., Adaptive Multibiometric Systems: Conceptual Representation and Performance Evaluation Over Time, in Handbook on Multibiometrics Systems: Modern Approach to Identity Verification, D. Ranjan Kisku, Gupta, P., and Tistarelli, M. VDM - Lambert Academic Publishing, 2012, pp. 120 -143.
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 and Roli, F., Adaptive Selection Of Image Classifiers, in 9th International Conference on Image Analysis and Processing, Florence, Italy, 1997, pp. 38-45.
I. Corona, Giacinto, G., and Roli, F., Adversarial Attacks against Intrusion Detection Systems: Taxonomy, Solutions and Open Issues, Information Sciences, vol. 239, 2013. (1.49 MB)
B. Kolosnjaji, Demontis, A., Biggio, B., Maiorca, D., Giacinto, G., Eckert, C., and Roli, F., Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables, in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 533-537. (674.62 KB)
R. Perdisci, Giacinto, G., and Roli, F., Alarm clustering for intrusion detection systems in computer networks, Engineering Applications of Artificial Intelligence, vol. 19, pp. 429-438, 2006.
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.
L. Didaci, Fumera, G., and Roli, F., Analysis of Co-training Algorithm with Very Small Training Sets, in Structural, Syntactic, and Statistical Pattern Recognition, 2012, vol. 7626, pp. 719-726.
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 and Roli, F., An Approach to the Automatic Design of Multiple Classifier Systems, Pattern Recognition Letters, vol. 22, pp. 25-33, 2001.
R. Paolucci, Coli, P., and Giacinto, G., Assessment of seismic site effects in 2-D alluvial valleys using neural networks, Earthquake Spectra, vol. 16, pp. 661-680, 2000.
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.
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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)
G. Giacinto and Roli, F., Bayesian Relevance Feedback for Content-Based Image Retrieval, Pattern Recognition, vol. 37, pp. 1499-1508, 2004.
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R. Satta, Galbally, J., and Beslay, L., Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information, in 22nd IEEE International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, 2014. (272.46 KB)
R. Soleymani, Granger, E., and Fumera, G., Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification, in 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy, 2016, vol. 1, pp. 97-108.
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.
M. Aresu, Ariu, D., Ahmadi, M., Maiorca, D., and Giacinto, G., Clustering Android Malware Families by Http Traffic, in 10h International Conference on Malicious and Unwanted Software (MALCON 2015), October 20-22th 2015, Fajardo, Puerto Rico, USA, 2015. (168.36 KB)
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.

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