Publications

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E
Z. Akhtar, Fumera, G., Marcialis, G. L., and Roli, F., “Evaluation of Multimodal Biometric Score Fusion Rules under Spoof Attacks”, in 5th IAPR Int’l Conference on Biometrics (ICB), New Delhi, India, 2012, pp. 402-407. (612.37 KB)
B. Biggio, Fumera, G., Pillai, I., Roli, F., and Satta, R., “Evading SpamAssassin with obfuscated text images”, Virus Bulletin, no. 11-2007, 2007. (689 KB)
B. Biggio, Fumera, G., and Roli, F., “Evade Hard Multiple Classifier Systems”, in Workshop on Supervised and Unsupervised Ensemble Methods and Their Applications (SUEMA 2008), Patras, Greece, 2008. (185.01 KB)
B. Biggio, Fumera, G., and Roli, F., “Evade Hard Multiple Classifier Systems”, in Supervised and Unsupervised Ensemble Methods and Their Applications, vol. 245, O. Okun and Valentini, G. Springer Berlin / Heidelberg, 2009, pp. 15-38. (562.89 KB)
G. Fumera and Roli, F., “Error rejection in linearly combined multiple classifiers”, in Multiple Classifier Systems (MCS 2001), Robinson College, Cambridge, UK, 2001, vol. 2096, pp. 329-338.
M. Zanda, Brown, G., Fumera, G., and Roli, F., “Ensemble Learning in Linearly Combined Classifiers via Negative Correlation”, in 7th Int. Workshop on Multiple Classifier Systems (MCS 2007), Prague, Czech Republic, 2007, vol. 4472, pp. 440-449.
M. A. O. Ahmed, Didaci, L., Fumera, G., and Roli, F., “An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles”, in Multiple Classifier Systems, 2015, vol. 9132, pp. 206-219. (216.76 KB)
L. Putzu and Fumera, G., “An empirical evaluation of nuclei segmentation from H&E images in a real application scenario”, Applied Sciences (Switzerland), vol. 10, pp. 1-15, 2020.
R. Delussu, Putzu, L., and Fumera, G., “An Empirical Evaluation of Cross-scene Crowd Counting Performance”, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP, Valletta - Malta, 2020, vol. 4, pp. 373-380. (527.29 KB)
R. Delussu, Putzu, L., and Fumera, G., “On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models”, in Proceedings - International Conference on Pattern Recognition, 2022, vol. 2022-August, pp. 1208 – 1214.
D
G. Fumera, Roli, F., and Serrau, A., “Dynamics of Variance Reduction in Bagging and Other Techniques”, in 6th Int. Workshop on Multiple Classifier Systems (MCS 2005), Seaside, CA, USA, 2005, 2005th ed., vol. 3541, pp. 316-325.
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)
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)
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.
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)
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)
C
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.
G. Giacinto, Roli, F., and Fumera, G., “Comparison and Combination of Adaptive Query Shifting and Feature Relevance Learning for Content-Based Image Retrieval”, in 11th International Conference on Image Analysis and Processing (ICIAP 2001), Palermo, Italy, 2001, pp. 422-427.
I. Pillai, Fumera, G., and Roli, F., “Classifier Selection Approaches for Multi-label Problems”, in 10th Int. Workshop on Multiple Classifier Systems (MCS 2011), Naples, 2011. (282.8 KB)
R. Soleymani, Granger, E., and Fumera, G., “Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification”, in 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy, 2016, vol. 1, pp. 97-108. (556.82 KB)
G. Fumera, Pillai, I., and Roli, F., “Classification with Reject Option in Text Categorisation Systems”, in 12th International Conference on Image Analysis and Processing (ICIAP 2003), Mantova, 2003, pp. 582-587. (209.28 KB)
I. Pillai, Fumera, G., and Roli, F., “A Classification Approach with a Reject Option for Multi-label Problems”, in 16th Int. Conf. on Image Analysis and Processing (ICIAP 2011), Ravenna, Italy, 2011. (279.96 KB)
B
B. Biggio, Fumera, G., and Roli, F., “Bayesian Linear Combination of Neural Networks”, in Innovations in Neural Information Paradigms and Applications, vol. 247, M. Bianchini, Maggini, M., Scarselli, F., and Jain, L. C. Springer Berlin / Heidelberg, 2009, pp. 201-230. (435.32 KB)

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