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R. P. W. Duin, Roli, F., and de Ridder, D., A note on core research issues for statistical pattern recognition, Pattern Recognition Letters, vol. 23, pp. 493-499, 2002.
L. Didaci, Giacinto, G., and Roli, F., Ensemble Learning for Intrusion Detection in Computer Networks, in AI*IA, Workshop on "Apprendimento automatico: metodi e applicazioni", Siena, Italy, 2002.
L. Didaci, Marcialis, G. L., and Roli, F., Semi-supervised co-update of multiple matchers, in 8th International Workshop on Multiple Classifiers Systems, Reykijavik (Iceland), 2009.
L. Didaci and Giacinto, G., Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule, in 5th Int. Workshop on Multiple Classifier Systems (MCS 2004), 2004, vol. 3077.
L. Didaci, Marcialis, G. L., and Roli, F., Modelling FRR of biometric verification systems using the template co-update algorithm, in 3rd International Conference on Biometrics, Alghero (Italy), 2009, vol. 5558, pp. 765-774.
L. Didaci, Marcialis, G. L., and Roli, F., Adaptive Multibiometric Systems, in Multibiometrics for Human Identification, B. Bhanu and Govindaraju, V. Cambridge University Press, 2011.
L. Didaci and Roli, F., Using Co-training and Self-training in Semi-Supervised Multiple Classifier Systems, in Statistical Techniques in Pattern Recognition, Hong Kong, China, 2006.
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, Marcialis, G. L., and Roli, F., Analysis of unsupervised template update in biometric recognition systems, Pattern Recognition Letters, vol. 37, no. 1, 2014. (1.37 MB)
L. Didaci, Marcialis, G. L., and Roli, F., Semi-supervised techniques for improving the performance of multiple classifier systems and personal recognition systems using biometric traits, in Italian Conference on Intelligent Systems (CISI06), Ancona (Italy), 2006.
L. Didaci, Dynamic Classifier Selection, Cagliari (Italy), 2005.
L. Didaci, Marcialis, G. L., and 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.
L. Didaci, Fumera, G., and Roli, F., Analysis of Co-training Algorithm with Very Small Training Sets, in Structural, Syntactic, and Statistical Pattern Recognition, 2012, vol. 7626, pp. 719-726.
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.
M. Dibitonto, Buonaiuto, A., Marcialis, G. L., Muntoni, D., Medaglia, C. Maria, and Roli, F., Fusion of Radio and Video Localization for People Tracking, in Int. Joint Conf. on Ambient Intelligence (AMI2011), Amsterdam (Holland), 2011.
M. A. A. Dewan, Granger, E., Marcialis, G. L., Sabourin, R., and Roli, F., Adaptive Appearance Model Tracking for Still-to-Video Face Recognition, Pattern Recognition, vol. 49, no. 1, 2016. (6.51 MB)
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.
M. A. A. Dewan, Granger, E., Sabourin, R., Marcialis, G. L., and 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, pp. 192-202. (533.82 KB)
A. Demontis, Biggio, B., Fumera, G., and Roli, F., Super-Sparse Regression for Fast Age Estimation From Faces at Test Time, in 18th Int'l Conf. on Image Analysis and Processing (ICIAP), Genova, Italy, 2015, vol. Image Analysis and Processing (ICIAP 2015), pp. 551-562. (678.7 KB)
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., and Roli, F., Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection, IEEE Trans. Dependable and Secure Computing, vol. 16, no. 4, pp. 711-724, 2019. (3.61 MB)
A. Demontis, Biggio, B., Fumera, G., Giacinto, G., and Roli, F., Infinity-norm Support Vector Machines against Adversarial Label Contamination, 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pp. 106-115, 2017.
A. Demontis, Russu, P., Biggio, B., Fumera, G., and Roli, F., On Security and Sparsity of Linear Classifiers for Adversarial Settings, in Joint IAPR Int'l Workshop on Structural, Syntactic, and Statistical Pattern Recognition, Merida, Mexico, 2016, vol. 10029 of LNCS, pp. 322-332. (425.68 KB)
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)
A. Demontis, Melis, M., Pintor, M., Jagielski, M., Biggio, B., Oprea, A., Nita-Rotaru, C., and Roli, F., Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks, in 28th Usenix Security Symposium, Santa Clara, California, USA, 2019. (1.09 MB)
L. Demetrio, Biggio, B., Lagorio, G., Roli, F., and Armando, A., Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries, in 3rd Italian Conference on Cyber Security, ITASEC 2019, Pisa, Italy, 2019, vol. 2315.

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