Publications

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B. Biggio, Melis, M., Fumera, G., and Roli, F., “Sparse Support Faces”, in Int'l Conf. on Biometrics (ICB), 2015, pp. 208-213. (702.84 KB)
B. Biggio, Fumera, G., Marcialis, G. L., and Roli, F., “Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 3, pp. 561-575, 2017. (5.7 MB)
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.
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, 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)
P. Pellegretti, Roli, F., Serpico, S. B., and Vernazza, G., “Supervised learning of descriptions for image recognition purposes”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 92-98, 1994.
F. Roli and Fumera, G., “Support vector machines for remote-sensing image classification”, in Image and Signal Processing for Remote Sensing VI, 2001, vol. 4170, pp. 160-166.
H. Xiao, Biggio, B., Nelson, B., Xiao, H., Eckert, C., and Roli, F., “Support Vector Machines under Adversarial Label Contamination”, Neurocomputing, Special Issue on Advances in Learning with Label Noise, vol. 160, pp. 53-62, 2015. (2.8 MB)
G. Fumera and Roli, F., “Support Vector Machines with Embedded Reject Option”, in Int. Workshop on Pattern Recognition with Support Vector Machines (SVM2002), Niagara Falls, Canada, 2002, pp. 68-82.
B. Biggio, Fumera, G., Pillai, I., and Roli, F., “A survey and experimental evaluation of image spam filtering techniques”, Pattern Recognition Letters, vol. 32, pp. 1436 - 1446, 2011. (2.12 MB)
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F. Roli, Didaci, L., and Marcialis, G. L., “Template co-update in multimodal biometric systems”, in 2nd International Conference on Biometrics ICB 2007, Seoul (South Korea), 2007, vol. 4642, pp. 1194-1202.
B. Freni, Marcialis, G. L., and Roli, F., “Template Selection by Editing Algorithms: a Case Study in Face Recognition”, in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008.
A. Rattani, Freni, B., Marcialis, G. L., and Roli, F., “Template update methods in adaptive biometric systems: a critical review”, in 3rd International Conference on Biometrics, Alghero (Italy), 2009, vol. 5558, pp. 847-856.
A. Rattani, Marcialis, G. L., and Roli, F., “Temporal Analysis of Biometric Template Update Procedures in Uncontrolled Environment”, in International Conference on Image Analysis and Processing (ICIAP'11), Ravenna, Italy, Ravenna (Italy), 2011.
G. Fumera, Roli, F., and Serrau, A., “A Theoretical Analysis of Bagging as a Linear Combination of Classifiers”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, pp. 1293-1299, 2008. (895.49 KB)
G. Fumera and Roli, F., “A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, pp. 942-956, 2005. (887.92 KB)
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.
G. Giacinto and Roli, F., “A theoretical framework for dynamic classifier selection”, in 15th International Conference on Pattern Recognition, Barcelona, Spain, 2000, vol. 2, pp. 8-11.
I. Pillai, Fumera, G., and Roli, F., “Threshold optimisation for multi-label classifiers”, Pattern Recognition, vol. 46, no. 7, 2013. (445.97 KB)
L. Muñoz-González, Biggio, B., Demontis, A., Paudice, A., Wongrassamee, V., Lupu, E. C., and Roli, F., “Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization”, in 10th ACM Workshop on Artificial Intelligence and Security, 2017, pp. 27-38. (4.08 MB)
P. Temple, Acher, M., Perrouin, G., Biggio, B., Jezequel, J. - M., and Roli, F., “Towards Quality Assurance of Software Product Lines with Adversarial Configurations”, in Proceedings of the 23rd International Systems and Software Product Line Conference - Volume A, New York, NY, USA, 2019, pp. 277–288. (2.09 MB)
J. - M. Xu, Fumera, G., Roli, F., and Zhou, Z. - H., “Training SpamAssassin with Active Semi-supervised Learning”, in 6th Conference on Email and Anti-Spam (CEAS 2009), Mountain View, CA, USA, 2009.
G. Fumera, Pillai, I., and Roli, F., “A Two-Stage Classifier with Reject Option for Text Categorisation”, in 5th Int. Workshop on Statistical Techniques in Pattern Recognition (SPR 2004), Lisbon, Portugal, 2004, vol. 3138, pp. 771-779. (151.61 KB)
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G. Giacinto, Roli, F., and Fumera, G., “Unsupervised Learning of Neural Network Ensembles for Image Classification”, in IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, 2000, vol. III, pp. 155-159.
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.

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