Journal Article
E. Santucci, Didaci, L., Fumera, G., and Roli, F.,
“A Parameter Randomization Approach for Constructing Classifier Ensembles”,
Pattern Recognition, vol. 69, pp. 1-13, 2017.
(448.73 KB) B. Biggio, Fumera, G., and Roli, F.,
“Pattern Recognition Systems under Attack: Design Issues and Research Challenges”,
Int'l J. Patt. Recogn. Artif. Intell., vol. 28, no. 7, p. 1460002, 2014.
(1.41 MB) F. Alonso, Roli, F., Marcialis, G. L., Fierrez, J., and Ortega, J.,
“Performance of fingerprint quality measures depending on sensor technology”,
Journal of Electronic Imaging, vol. 17, 2008.
S. Rota Bulò, Biggio, B., Pillai, I., Pelillo, M., and Roli, F.,
“Randomized Prediction Games for Adversarial Machine Learning”,
IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 11, pp. 2466-2478, 2017.
(1.52 MB)
(256.21 KB) L. Ghiani, Yambay, D. A., Mura, V., Marcialis, G. L., Roli, F., and Schuckers, S. A.,
“Review of the Fingerprint Liveness Detection (LivDet) competition series: 2009 to 2015”,
Image and Vision Computing, p. -, 2016.
B. Biggio, Akhtar, Z., Fumera, G., Marcialis, G. L., and Roli, F.,
“Security evaluation of biometric authentication systems under real spoofing attacks”,
IET Biometrics, vol. 1, no. 1, pp. 11-24, 2012.
(3.21 MB) B. Biggio, Fumera, G., and Roli, F.,
“Security evaluation of pattern classifiers under attack”,
IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 4, pp. 984-996, 2014.
(1.35 MB) G. Fumera, Pillai, I., and Roli, F.,
“Spam filtering based on the analysis of text information embedded into images”,
Journal of Machine Learning Research (special issue on Machine Learning in Computer Security), vol. 7, pp. 2699-2720, 2006.
B. Biggio, Fumera, G., Marcialis, G. L., and Roli, F.,
“Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems”,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 3, pp. 561-575, 2017.
(5.7 MB) L. Didaci, Giacinto, G., Roli, F., and Marcialis, G. L.,
“A study on the performances of Dynamic Classifier Selection based on Local Accuracy Estimation”,
Pattern Recognition, vol. 38, pp. 2188-2191, 2005.
A. Demontis, Melis, M., Biggio, B., Fumera, G., and Roli, F.,
“Super-sparse Learning in Similarity Spaces”,
IEEE Computational Intelligence Magazine, vol. 11, no. 4, pp. 36-45, 2016.
(555.22 KB) P. Pellegretti, Roli, F., Serpico, S. B., and Vernazza, G.,
“Supervised learning of descriptions for image recognition purposes”,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 92-98, 1994.
H. Xiao, Biggio, B., Nelson, B., Xiao, H., Eckert, C., and Roli, F.,
“Support Vector Machines under Adversarial Label Contamination”,
Neurocomputing, Special Issue on Advances in Learning with Label Noise, vol. 160, pp. 53-62, 2015.
(2.8 MB) B. Biggio, Fumera, G., Pillai, I., and Roli, F.,
“A survey and experimental evaluation of image spam filtering techniques”,
Pattern Recognition Letters, vol. 32, pp. 1436 - 1446, 2011.
(2.12 MB) G. Fumera, Roli, F., and Serrau, A.,
“A Theoretical Analysis of Bagging as a Linear Combination of Classifiers”,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1293-1299, 2008.
(895.49 KB) G. Fumera and Roli, F.,
“A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems”,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, pp. 942-956, 2005.
(887.92 KB)