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T. Windeatt and Roli, F., Multiple Classifier Systems, vol. 2709. Springer-Verlag, 2003.
S
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)
R
C. Ruiz, Arroyo, S., Krsteski, I., Dago, P., Sanchez, J., Perez-Freire, L., De Rosa, A., Fontani, M., Costanzo, A., Piva, A., Ariu, D., Piras, L., Ahumada, R., and Jerian, M., The maven project: Management and Authenticity Verification of multimedia contents, in Multimedia Expo Workshops (ICMEW), 2015 IEEE International Conference on, 2015, pp. 1-4. (194.87 KB)
F. Roli, Multisensor image recognition by neural networks with understandable behaviour, International Journal of Pattern Recognition and Artificial Intelligence, vol. 10, pp. 887-917, 1996.
F. Roli, Kittler, J., and Windeatt, T., Multiple Classifier Systems, vol. 2364. Springer-Verlag, 2002.
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.
F. Roli, Kittler, J., and Windeatt, T., Multiple Classifier Systems, vol. 3077. Springer-Verlag, 2004.
A. Rattani, Marcialis, G. L., and Roli, F., A multi-modal dataset, protocol and tools for adaptive biometric systems: A benchmarking study, International Journal of Biometrics, vol. 5, no. 3/4, 2013. (968.88 KB)
P
I. Pillai, Fumera, G., and Roli, F., Multi-label classification with a reject option, Pattern Recognition, vol. 46, no. 8, 2013. (280.71 KB)
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)
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)
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N. C. Oza, Polikar, R., Kittler, J., and Roli, F., Multiple Classifier Systems, vol. 3541. Springer-Verlag, 2005.
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B. Nelson, Biggio, B., and Laskov, P., Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers, in Journal of Machine Learning Research - Proc. 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 2011, vol. 20, pp. 63-79. (481.46 KB)
K
J. Kittler and Roli, F., Multiple Classifier Systems, vol. 1857. Springer-Verlag, 2000.
J. Kittler and Roli, F., Multiple Classifier Systems, vol. 2096. Springer-Verlag, 2001.
H
M. Haindl, Kittler, J., and Roli, F., Multiple Classifier Systems, vol. 4472. Springer, 2007, p. 524.
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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., Methods for Dynamic Classifier Selection, in 10th International Conference on Image Analysis and Processing, Venice, Italy, 1999, pp. 659-664.
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.
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.
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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.
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)

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