Publications

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W. W. Y. Ng, Hu, J., Yeung, D., Yin, S., and Roli, F., “Diversified Sensitivity based Undersampling for Imbalance Classification Problems”, IEEE Transactions on Cybernetics, In Press. (1.91 MB)
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.
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. 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.
R. Tronci, Giacinto, G., and Roli, F., “Designing multiple biometric systems: measures of ensemble effectiveness”, Engineering Applications of Artificial Intelligence, vol. 22, pp. 66-78, 2009.
I. Pillai, Fumera, G., and Roli, F., “Designing multi-label classifiers that maximize F measures: state of the art”, Pattern Recognition, vol. 61, 2017. (452.28 KB)
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)
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. Giacinto and Roli, F., “Design of effective neural network ensembles for image classification”, Image and Vision Computing Journal, vol. 19, pp. 697-705, 2001.
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.
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)
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)
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)
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.
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)
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.
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)
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N. Poh, Rattani, A., and Roli, F., “A Critical Analysis of Adaptive Biometric Systems”, IET Biometrics, 2012.
G. Fumera and Roli, F., “Cost-sensitive Learning in Support Vector Machines”, in Workshop on Machine Learning, Methods and Applications, held in the context of the 8th Meeting of the Italian Association of Artificial Intelligence (AI*IA), Siena, Italy, 2002.
L. Kuncheva, Roli, F., Marcialis, G. L., and Shipp, C., “Complexity of Data Subsets Generated by the Random Subspace Method: an Experimental Investigation”, in 2nd International Workshop on Multiple Classifier Systems (MCS 2001), 2001, vol. 2096, pp. 349-358.
L. Kuncheva, Roli, F., Marcialis, G. L., and Shipp, C., “Complexity of Data Subsets Generated by the Random Subspace Method: an Experimental Investigation”, in 2nd International Workshop on Multiple Classifier Systems (MCS 2001), 2001, vol. 2096, pp. 349-358.
M. Mohan Chakka, Anjos, A., Marcel, S., Tronci, R., Muntoni, D., Fadda, G., Pili, M., Sirena, N., Murgia, G., Ristori, M., and Roli, F., “Competition on Counter Measures to 2-D Facial Spoofing Attacks”, in International Joint Conference on Biometrics (IJCB 2011), 2011.
F. Alonso, Roli, F., Marcialis, G. L., Fierrez, J., and Ortega, J., “Comparison of fingerprint quality measures using an optical and a capacitive sensor”, in IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS07), Washington DC (USA), 2007, pp. 1-6.
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.
G. Giacinto, Roli, F., and Vernazza, G., “Comparison and combination of statistical and Neural Network algorithms for remote-sensing image classification”, in Neurocomputation in Remote Sensing Data Analysis, Springer-Verlag, 1997, pp. 117-124.

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