Publications

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Filters: First Letter Of Title is M and Author is Giorgio Fumera  [Clear All Filters]
2000
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.
2001
G. Fumera, Roli, F., and Vernazza, G., A Method for Error Rejection in Multiple Classifier Systems, in 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001, pp. 454-458.
2009
B. Biggio, Fumera, G., and Roli, F., Multiple Classifier Systems for Adversarial Classification Tasks, in 8th Int. Workshop on Multiple Classifier Systems (MCS 2009), Reykjavik, Iceland, 2009, vol. 5519, pp. 132-141. (459.88 KB)
2010
B. Biggio, Fumera, G., and Roli, F., Multiple Classifier Systems for Robust Classifier Design in Adversarial Environments, Journal of Machine Learning and Cybernetics, vol. 1, pp. 27–41, 2010. (844.91 KB)
B. Biggio, Fumera, G., and Roli, F., Multiple Classifier Systems under Attack, in 9th Int. Workshop on Multiple Classifier Systems (MCS 2010), Cairo, Egypt, 2010, vol. 5997, pp. 74–83. (231.42 KB)
2011
R. Satta, Fumera, G., Roli, F., Cristani, M., and Murino, V., A Multiple Component Matching Framework for Person Re-Identification, in 16th Int. Conf. on Image Analysis and Processing (ICIAP 2011), Ravenna, Italy, 2011. (519.85 KB)
2013
I. Pillai, Fumera, G., and Roli, F., Multi-label classification with a reject option, Pattern Recognition, vol. 46, no. 8, 2013. (280.71 KB)
2014
G. Fumera, Marcialis, G. L., Biggio, B., Roli, F., and Schuckers, S. C., Multimodal Anti-Spoofing in Biometric Recognition Systems, in Handbook of Biometric Anti-Spoofing, S. Marcel, Nixon, M., and Li, S. Z. Springer, 2014, pp. 165-184. (155.83 KB)
2015
F. Pala, Satta, R., Fumera, G., and Roli, F., Multi-modal Person Re-Identification Using RGB-D Cameras, IEEE Transactions on Circuits and Systems for Video Technology, 2015. (1.58 MB)