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F
R. Satta, Fumera, G., and Roli, F., Fast Appearance-based Person Re-identification and Retrieval Using Dissimilarity Representations, in Convegno Gruppo Italiano Ricercatori in Pattern Recognition (GIRPR), 2012. (945.6 KB)
M. Melis, Piras, L., Biggio, B., Giacinto, G., Fumera, G., and Roli, F., Fast Image Classification with Reduced Multiclass Support Vector Machines, in 18th Int'l Conf. on Image Analysis and Processing, Genova, Italy, 2015, vol. Image Analysis and Processing (ICIAP 2015), pp. 78-88. (829.37 KB)
R. Satta, Fumera, G., and Roli, F., Fast Person Re-Identification Based on Dissimilarity Representations, Pattern Recognition Letters, Special Issue on Novel Pattern Recognition-Based Methods for Reidentification in Biometric Context, vol. 33, pp. 1838-1848, 2012. (976.57 KB)
H. Xiao, Biggio, B., Brown, G., Fumera, G., Eckert, C., and Roli, F., Is Feature Selection Secure against Training Data Poisoning?, in 32nd Int'l Conf. on Machine Learning (ICML) - JMLR W&CP, 2015, vol. 32, pp. 1689-1698. (1.54 MB)
G. L. Marcialis, Roli, F., and Frasconi, P., Fingerprint Classification by Combination of Flat and Structural Approaches, in 3rd International Conference on Audio- and Video- Based Biometric Person Authentication AVBPA'01, Halmstad (Sweden), 2001, vol. 2091, pp. 241-246.
F. Roli, Fumera, G., and Kittler, J., Fixed and Trained Combiners for Fusion of Unbalanced Pattern Classifiers, in 5th Int. Conference on Information Fusion (IF 2002), Annapolis, Mariland, USA, 2002, pp. 278-284.
R. Soleymani, Granger, E., and Fumera, G., F-Measure Curves: A Tool to Visualize Classifier Performance Under Imbalance, Pattern Recognition, In Press.
R. Soleymani, Granger, E., and Fumera, G., F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data, in 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018), Siena, 2018. (413.21 KB)
I. Pillai, Fumera, G., and Roli, F., F-Measure Optimisation in Multi-label Classifiers, in 21st International Conference on Pattern Recognition, Tsukuba, Japan, 2012. (295.91 KB)
R. Tronci, Muntoni, D., Fadda, G., Pili, M., Sirena, N., Murgia, G., Ristori, M., and Roli, F., Fusion of multiple clues for photo-attack detection in face recognition systems, in International Joint Conference on Biometrics (IJCB 2011), IEEE Computer Society (2011), 2011.
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R. Satta, Fumera, G., and Roli, F., A General Method for Appearance-based People Search Based on Textual Queries, in First International ECCV Workshop on Re-Identification (ReID 2012), Florence, Italy, 2012. (434.27 KB)
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B. Biggio, Fumera, G., Pillai, I., and Roli, F., Image Spam Filtering by Content Obscuring Detection, in Fourth Conference on Email and Anti-Spam (CEAS 2007), Microsoft Research Silicon Valley, Mountain View, California, 2007. (486.14 KB)
F. Roli, Biggio, B., Fumera, G., Pillai, I., and Satta, R., Image Spam Filtering by Detection of Adversarial Obfuscated Text, in NIPS Workshop on Machine Learning in Adversarial Environments for Computer Security, Whistler, British Columbia, Canada, 2007. (361.97 KB)
G. Fumera, Pillai, I., Roli, F., and Biggio, B., Image spam filtering using textual and visual information, in MIT Spam Conference 2007, Cambridge, MA, USA, 2007. (513.42 KB)
B. Biggio, Fumera, G., Pillai, I., and Roli, F., Image Spam Filtering Using Visual Information, in 14th Int. Conf. on Image Analysis and Processing (ICIAP 2007), Modena, Italy, 2007, pp. 105–110. (173.32 KB)
B. Ionescu, Müller, H., Péteri, R., Dang-Nguyen, D. - T., Piras, L., Riegler, M., Tran, M. - T., Lux, M., Gurrin, C., Cid, Y. Dicente, Liauchuk, V., Kovalev, V., Ben Abacha, A., Hasan, S. A., Datla, V. V., Liu, J., Demner-Fushman, D., Pelka, O., Friedrich, C. M., Chamberlain, J., Clark, A., de Herrera, A. García Se, García, N., Kavallieratou, E., del-Blanco, C. Roberto, Cuevas, C., Vasilopoulos, N., and Karampidis, K., ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications, in Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part {II}, 2019, pp. 301–308.
B. Ionescu, Müller, H., Péteri, R., Cid, Y. Dicente, Liauchuk, V., Kovalev, V., Klimuk, D., Tarasau, A., Ben Abacha, A., Hasan, S. A., Datla, V. V., Liu, J., Demner-Fushman, D., Dang-Nguyen, D. - T., Piras, L., Riegler, M., Tran, M. - T., Lux, M., Gurrin, C., Pelka, O., Friedrich, C. M., de Herrera, A. García Se, García, N., Kavallieratou, E., del-Blanco, C. Roberto, Cuevas, C., Vasilopoulos, N., Karampidis, K., Chamberlain, J., Clark, A., and Campello, A., ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature, in Experimental IR Meets Multilinguality, Multimodality, and Interaction - 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, Proceedings, 2019, pp. 358–386. (323.96 KB)
B. Biggio, Fumera, G., Pillai, I., and Roli, F., Improving Image Spam Filtering Using Image Text Features, in Fifth Conference on Email and Anti-Spam (CEAS 2008), Mountain View, CA, USA, 2008. (154.27 KB)
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.
R. Delussu, Putzu, L., and Fumera, G., Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios, in Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications VISAPP 2020, Valletta - Malta, 2020, vol. 4, pp. 365-372. (4.23 MB)
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B. Biggio, Fumera, G., and Roli, F., Learning Sparse Kernel Machines with Biometric Similarity Functions for Identity Recognition, in IEEE 5th International Conference on Biometrics: Theory, Applications and Systems (BTAS 2012), Washington DC (USA), 2012, pp. 325 -330. (336.11 KB)
G. Fumera and Roli, F., Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results, in 4th Int. Workshop on Multiple Classifier Systems (MCS 2003), Guildford, UK, 2003, vol. 2709, pp. 74-83.
R. Soleymani, Granger, E., and Fumera, G., Loss Factors for Learning Boosting Ensembles from Imbalanced Data, in 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, Mexico, 2016. (435.44 KB)

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