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R. P. W. Duin, Roli, F., e de Ridder, D., «A note on core research issues for statistical pattern recognition», Pattern Recognition Letters, vol 23, pagg 493-499, 2002.
L. Didaci, «Dynamic Classifier Selection», Cagliari (Italy), 2005.
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.
L. Didaci, Fumera, G., e Roli, F., «Analysis of Co-training Algorithm with Very Small Training Sets», in Structural, Syntactic, and Statistical Pattern Recognition, 2012, vol 7626, pagg 719-726.
L. Didaci, Giacinto, G., Roli, F., e Marcialis, G. L., «A study on the performances of Dynamic Classifier Selection based on Local Accuracy Estimation», Pattern Recognition, vol 38, pagg 2188-2191, 2005.
L. Didaci, Giacinto, G., e 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., e Roli, F., «Semi-supervised co-update of multiple matchers», in 8th International Workshop on Multiple Classifiers Systems, Reykijavik (Iceland), 2009.
L. Didaci e 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., e 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, pagg 765-774.
L. Didaci, Marcialis, G. L., e Roli, F., «Adaptive Multibiometric Systems», in Multibiometrics for Human Identification, B. Bhanu e Govindaraju, V. Cambridge University Press, 2011.
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.
L. Didaci, Fumera, G., e 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., e Roli, F., «Analysis of unsupervised template update in biometric recognition systems», Pattern Recognition Letters, vol 37, n° 1, 2014. (1.37 MB)
L. Didaci, Marcialis, G. L., e 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.
M. Dibitonto, Buonaiuto, A., Marcialis, G. L., Muntoni, D., Medaglia, C. Maria, e 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., e Roli, F., «Adaptive Appearance Model Tracking for Still-to-Video Face Recognition», Pattern Recognition, vol 49, n° 1, 2016. (6.51 MB)
M. A. A. Dewan, Granger, E., Sabourin, R., Roli, F., e 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., 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)
A. Demontis, Russu, P., Biggio, B., Fumera, G., e 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, pagg 322-332. (425.68 KB)
A. Demontis, Melis, M., Biggio, B., Fumera, G., e Roli, F., «Super-sparse Learning in Similarity Spaces», IEEE Computational Intelligence Magazine, vol 11, n° 4, pagg 36-45, 2016. (555.22 KB)
A. Demontis, Melis, M., Pintor, M., Jagielski, M., Biggio, B., Oprea, A., Nita-Rotaru, C., e Roli, F., «Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks», in 28th Usenix Security Symposium, Santa Clara, California, USA, 2019, vol 28th {USENIX} Security Symposium ({USENIX} Security 19), pag 321--338. (1.09 MB)
A. Demontis, Biggio, B., Fumera, G., e 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), pagg 551-562. (678.7 KB)
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., e Roli, F., «Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection», IEEE Trans. Dependable and Secure Computing, vol 16, n° 4, pagg 711-724, 2019. (3.61 MB)
A. Demontis, Biggio, B., Fumera, G., Giacinto, G., e Roli, F., «Infinity-norm Support Vector Machines against Adversarial Label Contamination», 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pagg 106-115, 2017. (504.93 KB)
L. Demetrio, Biggio, B., Lagorio, G., Roli, F., e 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. (801.85 KB)

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