Publications

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B. Biggio, Fumera, G., and Roli, F., Design of Robust Classifiers for Adversarial Environments, in IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), Anchorage, Alaska, USA, 2011, pp. 977–982. (328.68 KB)
F. Roli and Giacinto, G., Design of Multiple Classifier Systems, in Hybrid Methods in Pattern Recognition, B. ;A. H. Kandel World Scientific Publishing, 2002.
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, Roli, F., and Fumera, G., Design of effective multiple classifier systems by clustering of classifiers, in 15th Int. Conference on Pattern Recognition (ICPR 2000), Barcelona, Spain, 2000, vol. 2, pp. 160-163.
I. Corona, Biggio, B., Contini, M., Piras, L., Corda, R., Mereu, M., Mureddu, G., Ariu, D., and Roli, F., DeltaPhish: Detecting Phishing Webpages in Compromised Websites, 22nd European Symposium on Research in Computer Security (ESORICS), vol. 10492. Springer International Publishing, Norway, September 11-15, 2017, pp. 370–388, 2017. (4.13 MB)
A. Carcangiu, Spano, L. Davide, Fumera, G., and Roli, F., DEICTIC: a Compositional and Declarative Gesture Description based on Hidden Markov Model, International Journal of Human-Computer Studies, vol. 122, p. 20, 2019. (1.69 MB)
P. Piredda, Ariu, D., Biggio, B., Corona, I., Piras, L., Giacinto, G., and Roli, F., Deepsquatting: Learning-based Typosquatting Detection at Deeper Domain Levels, in 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017, vol. 10640 of LNCS, pp. 347-358. (1.21 MB)
M. Melis, Demontis, A., Biggio, B., Brown, G., Fumera, G., and Roli, F., Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid, in ICCV 2017 Workshop on Vision in Practice on Autonomous Robots (ViPAR), Venice, Italy, 2017, vol. 2017 IEEE International Conference on Computer Vision Workshops (ICCVW), pp. 751-759. (3.16 MB)
G. L. Marcialis and Roli, F., Decision-level fusion of PCA and LDA-based face recognition algorithms, International Journal of Image and Graphics, vol. 6, pp. 293-311, 2006.
B. Biggio, Pillai, I., Rota Bulò, S., Ariu, D., Pelillo, M., and Roli, F., Is Data Clustering in Adversarial Settings Secure?, in AISec'13: Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Berlin, 2013, pp. 87-98. (300.52 KB)
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N. Poh, Rattani, A., and Roli, F., A Critical Analysis of Adaptive Biometric Systems, IET Biometrics, 2012.
G. Fumera and Roli, F., Cost-sensitive Learning in Support Vector Machines, in Workshop on Machine Learning, Methods and Applications, held in the context of the 8th Meeting of the Italian Association of Artificial Intelligence (AI*IA), Siena, Italy, 2002.
L. Kuncheva, Roli, F., Marcialis, G. L., and Shipp, C., Complexity of Data Subsets Generated by the Random Subspace Method: an Experimental Investigation, in 2nd International Workshop on Multiple Classifier Systems (MCS 2001), 2001, vol. 2096, pp. 349-358.
L. Kuncheva, Roli, F., Marcialis, G. L., and Shipp, C., Complexity of Data Subsets Generated by the Random Subspace Method: an Experimental Investigation, in 2nd International Workshop on Multiple Classifier Systems (MCS 2001), 2001, vol. 2096, pp. 349-358.
M. Mohan Chakka, Anjos, A., Marcel, S., Tronci, R., Muntoni, D., Fadda, G., Pili, M., Sirena, N., Murgia, G., Ristori, M., and Roli, F., Competition on Counter Measures to 2-D Facial Spoofing Attacks, in International Joint Conference on Biometrics (IJCB 2011), 2011.
F. Alonso, Roli, F., Marcialis, G. L., Fierrez, J., and Ortega, J., Comparison of fingerprint quality measures using an optical and a capacitive sensor, in IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS07), Washington DC (USA), 2007, pp. 1-6.
M. A. A. Dewan, Granger, E., Sabourin, R., Roli, F., and Marcialis, G. L., A comparison of adaptive appearance methods for tracking faces in video surveillance, in 5th International Conference on Imaging for Crime Detection and Prevention (ICDP-13), 2013.
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, 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.
J. Austin, Giacinto, G., Kanellopoulos, I., Lees, K., Roli, F., Vernazza, G., and Wilkinson, G., The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing data, in 9th International Conference on Image Analysis and Processing, 1997, vol. 1311, pp. 765-772.
Y. Guan, Wei, X., Li, C. - T., Marcialis, G. L., Roli, F., and Tistarelli, M., Combining Gait and Face for Tackling the Elapsed Time Challenges, in IEEE 6th International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2013), Washington DC (USA), 2013, pp. 1-8. (663.7 KB)
Y. Yao, Marcialis, G. L., Pontil, M., Frasconi, P., and Roli, F., Combining Flat and Structural Representations for Fingerprint Classification with Recursive Neural Networks and Support Vector Machine, Pattern Recognition, vol. 36, pp. 397-406, 2003.
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.
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.
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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