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A. Rattani, Freni, B., Marcialis, G. L., e Roli, F., «Template update methods in adaptive biometric systems: a critical review», in 3rd International Conference on Biometrics, Alghero (Italy), 2009, vol 5558, pagg 847-856.
A. Rattani, Marcialis, G. L., e Roli, F., «Temporal Analysis of Biometric Template Update Procedures in Uncontrolled Environment», in International Conference on Image Analysis and Processing (ICIAP'11), Ravenna, Italy, Ravenna (Italy), 2011.
L. Putzu, Piras, L., e Giacinto, G., «Ten years of Relevance Score for Content Based Image Retrieval», in 14th International Conference Machine Learning and Data Mining (MLDM), New York, 2018, vol 10935.
G. Fumera, Roli, F., e Serrau, A., «A Theoretical Analysis of Bagging as a Linear Combination of Classifiers», IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 30, pagg 1293-1299, 2008. (895.49 KB)
G. Fumera e Roli, F., «A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems», IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 27, pagg 942-956, 2005. (887.92 KB)
L. Didaci, Marcialis, G. L., e Roli, F., «A Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems», in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008.
G. Giacinto e Roli, F., «A theoretical framework for dynamic classifier selection», in 15th International Conference on Pattern Recognition, Barcelona, Spain, 2000, vol 2, pagg 8-11.
J. Galbally e Satta, R., «Three-dimensional and two-and-a-half- dimensional face recognition spoofing using three-dimensional printed models», IET Biometrics, vol 5, n° 2, 2016. (1.33 MB)
I. Pillai, Fumera, G., e Roli, F., «Threshold optimisation for multi-label classifiers», Pattern Recognition, vol 46, n° 7, 2013. (445.97 KB)
R. Wong, Poh, N., e Marcialis, G. L., «Toward an attack-sensitive tamper-resistant biometric recognition with a symmetric matcher: A fingerprint case study», in IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), Dec., 9-11, 2014, Orlando (Florida), 2014, pagg 175-180. (1.32 MB)
D. Maiorca, Biggio, B., e Giacinto, G., «Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks», ACM Computing Surveys, vol 52, n° 4, 2019. (1.21 MB)
L. Muñoz-González, Biggio, B., Demontis, A., Paudice, A., Wongrassamee, V., Lupu, E. C., e Roli, F., «Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization», in 10th ACM Workshop on Artificial Intelligence and Security, 2017, pagg 27-38. (4.08 MB)
P. Temple, Acher, M., Perrouin, G., Biggio, B., Jezequel, J. - M., e Roli, F., «Towards Quality Assurance of Software Product Lines with Adversarial Configurations», in Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A, New York, NY, USA, 2019, pagg 277–288. (2.09 MB)
J. - M. Xu, Fumera, G., Roli, F., e Zhou, Z. - H., «Training SpamAssassin with Active Semi-supervised Learning», in 6th Conference on Email and Anti-Spam (CEAS 2009), Mountain View, CA, USA, 2009.
G. Fumera, Pillai, I., e Roli, F., «A Two-Stage Classifier with Reject Option for Text Categorisation», in 5th Int. Workshop on Statistical Techniques in Pattern Recognition (SPR 2004), Lisbon, Portugal, 2004, vol 3138, pagg 771-779. (151.61 KB)
L. Piras e Giacinto, G., «Unbalanced learning in Content-Based Image Classification and Retrieval», in IEEE International Conference on Multimedia & Expo (ICME), Singapore, 2010. (177.33 KB)
B. Nelson, Biggio, B., e Laskov, P., «Understanding the Risk Factors of Learning in Adversarial Environments», in 4th ACM Workshop on Artificial Intelligence and Security (AISec 2011), Chicago, IL, USA, 2011, pagg 87–92. (132.42 KB)
C. Cusano, Satta, R., e Santini, S., «Unsupervised Classemes», in 2012 ECCV Workshop on Information Fusion in Computer Vision for Concept Recognition (IFCVCR 2012), Firenze (Italy), 2012. (259.36 KB)
G. Giacinto, Roli, F., e Fumera, G., «Unsupervised Learning of Neural Network Ensembles for Image Classification», in IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, 2000, vol III, pagg 155-159.
R. Satta e Stirparo, P., «On the usage of Sensor Pattern Noise for Picture-to-Identity linking through social network accounts», in 9th International Conference on Computer Vision Theory and Applications (VISAPP 2014), Lisbon, Portugal, 2014. (340.78 KB)
L. Piras, Furcas, D., e Giacinto, G., «User-driven Nearest-Neighbour Exploration of Image Archives», in 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Lisbon, Portugal, 2015, pagg 181 - 189. (376.55 KB)
L. Didaci e Roli, F., «Using Co-training and Self-training in Semi-Supervised Multiple Classifier Systems», in Statistical Techniques in Pattern Recognition, Hong Kong, China, 2006.
M. Ahmed, Didaci, L., Fumera, G., Roli, F., e Lavi, B., «Using Diversity for Classifier Ensemble Pruning: An Empirical Investigation», Theoretical and Applied Informatics, In Press.
G. L. Marcialis, Roli, F., Andronico, P., Multineddu, P., Coli, P., e Delogu, G., «Video Biometric Surveillance and Forensic Image Analysis», in First Workshop on Video Surveillance projects in Italy (VISIT 2008), Modena (Italy), 2008.
M. A. A. Dewan, Granger, E., Sabourin, R., Marcialis, G. L., e Roli, F., «Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker», in IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM 2015), 2015, pagg 192-202. (533.82 KB)