Publications

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Book Chapter
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. L. Foresti, Giacinto, G., and Roli, F., Detecting Dangerous Behaviors of Mobile Objects in Parking Areas, in Multisensor Surveillance Systems: The Fusion Perspective, R. G. L. C. Foresti and Varshney, P. Kluwer Academic Publishers, 2003, pp. 199-211.
Conference Paper
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)
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)
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)
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.
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)
G. L. Foresti, Giacinto, G., and Roli, F., Detecting Dangerous Behaviours of Mobile Objects in Parking Areas, in 2nd European Workshop on Advanced Video-based Surveillance Systems (AVBS2001), London, United Kingdom, 2001.
G. Giacinto and Roli, F., Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval, in Machine Learning and Data Mining in Pattern Recognition (MLDM 2003), Leipzig, Germany, 2003, vol. 2734, pp. 202-214.
L. Didaci, Fumera, G., and Roli, F., Diversity in classifier ensembles: fertile concept or dead end?, in 11th Int. Workshop on Multiple Classifier Systems, Nanjing, China, 2013, vol. 7872. (241.27 KB) (163.54 KB)
L. Didaci, Fumera, G., and Roli, F., Diversity in classifier ensembles: fertile concept or dead end?, in 11th Int. Workshop on Multiple Classifier Systems, Nanjing, China, 2013, vol. 7872. (241.27 KB) (163.54 KB)
A. Rattani, Marcialis, G. L., Granger, E., and Roli, F., A Dual-staged Classification-Selection Approach for Automated Update of Biometric Templates, in International Conference on Pattern Recognition (ICPR), Tsukuba Science City, JAPAN, 2012.
G. Giacinto and Roli, F., Dynamic Classifier Selection, in First Int. Workshop on Multiple Classifier Systems (MCS 2000), Cagliari, Italy, 2000, vol. 1857, pp. 177-189.
C. Lobrano, Tronci, R., Giacinto, G., and Roli, F., Dynamic Linear Combination of Two-Class Classifiers, in Lecture Notes in Computer Science, 2010, vol. 6218, pp. 473-482.
R. Tronci, Giacinto, G., and Roli, F., Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method, in Machine Learning and Data Mining in Pattern Recognition (MLDM 2009), Leipzig, Germany, 2009, vol. 5632, pp. 163-177.
R. Tronci, Giacinto, G., and Roli, F., Dynamic score combination of binary experts, in 19th International Conference on Pattern Recognition (ICPR 2008), Tampa (Florida, USA), 2008.
R. Tronci, Giacinto, G., and Roli, F., Dynamic Score Selection for Fusion of Multiple Biometric Matchers, in 14th IEEE International Conference on Image Analysis and Processing ICIAP 2007, Modena, Italy, 2007, pp. 15-20.
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams, In: Gayar N.E., Schwenker F., Suen C.Y, , , pp, in 6th IAPR TC3 International Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR 2014), 2014, vol. Springer LNAI 8774, pp. 105-116. (1.89 MB)
G. Fumera, Roli, F., and Serrau, A., Dynamics of Variance Reduction in Bagging and Other Techniques, in 6th Int. Workshop on Multiple Classifier Systems (MCS 2005), Seaside, CA, USA, 2005, 2005th ed., vol. 3541, pp. 316-325.
G. Fumera, Roli, F., and Serrau, A., Dynamics of Variance Reduction in Bagging and Other Techniques, in 6th Int. Workshop on Multiple Classifier Systems (MCS 2005), Seaside, CA, USA, 2005, 2005th ed., vol. 3541, pp. 316-325.
Conference Proceedings
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)
Journal Article
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.
A. Sotgiu, Demontis, A., Melis, M., Biggio, B., Fumera, G., Feng, X., and Roli, F., Deep Neural Rejection against Adversarial Examples, EURASIP Journal on Information Security, vol. 5, 2020.
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)
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.

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