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R. Tronci, Piras, L., e Giacinto, G., «Performance Evaluation of Relevance Feedback for Image Retrieval by “Real-World” Multi-Tagged Image Datasets», International Journal of Multimedia Data Engineering and Management (IJMDEM), vol 3, pag 16, 2012. (357.99 KB)
R. Tronci, Piras, L., Falqui, L., e Giacinto, G., «A study on the evaluation of relevance feedback in multi-tagged image datasets», in 7th IEEE International Workshop on Multimedia Information Processing and Retrieval, California, USA, 2011. (259.03 KB)
R. Tronci, Giacinto, G., e Roli, F., «Selection of experts for the design of multiple biometric systems», in Machine Learning and Data Mining in Pattern Recognition, MLDM 2007, Leipzig, 2007, vol 4571, pagg 795-809.
R. Tronci, «Ensemble of binary classifiers: combination techniques and design issues», University of Cagliari, 2008.
R. Tronci, Giacinto, G., e Roli, F., «Index Driven Combination of Multiple Biometric Experts for AUC Maximisation», in 7th International Workshop on Multiple Classifiers Systems MCS 2007, Prague (Czech Republic), 2007, vol 4472, pagg 357-366.
R. Tronci, Giacinto, G., e Roli, F., «Dynamic score combination of binary experts», in 19th International Conference on Pattern Recognition (ICPR 2008), Tampa (Florida, USA), 2008.
P. Temple, Acher, M., Perrouin, G., Biggio, B., Jezequel, J. - M., e 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, pagg 277–288. (2.09 MB)
G. Suarez-Tangil, Dash, S. Kumar, Ahmadi, M., Kinder, J., Giacinto, G., e Cavallaro, L., «DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware», in Proceedings of the Seventh {ACM} Conference on Data and Application Security and Privacy, {CODASPY} 2017, In Press. (478.59 KB)
A. Sotgiu, Demontis, A., Melis, M., Biggio, B., Fumera, G., Feng, X., e Roli, F., «Deep Neural Rejection against Adversarial Examples», EURASIP Journal on Information Security, vol 5, 2020.
R. Soleymani, Granger, E., e Fumera, G., «F-Measure Curves: A Tool to Visualize Classifier Performance Under Imbalance», Pattern Recognition, vol 100, pag 107146, 2020. (3.15 MB)
R. Soleymani, Granger, E., e 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, pagg 97-108. (556.82 KB)
R. Soleymani, Granger, E., e Fumera, G., «Progressive Boosting for Class Imbalance and Its Application to Face Re-Identification», Expert Systems With Applications, vol 101, pag 21, 2018. (1.11 MB)
R. Soleymani, Granger, E., e 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)
R. Soleymani, Granger, E., e 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)
A. Serrau, Marcialis, G. L., Bunke, H., e Roli, F., «An Experimental Comparison of Fingerprint Classification Methods Using Graphs», in 5th IAPR-TC15 Workshop on Graph-based, Poitiers, 2005, L. Brun and M. Vento., vol 3434, pagg 281-290.
A. Serrau, «Structural and graph-based methods for automatic fingerprint classification», Cagliari (Italy), 2006.
S. B. Serpico e Roli, F., «Classification of multi-sensor remote- sensing images by structured neural networks», IEEE Transactions on Geoscience and Remote Sensing, vol 33, pagg 562-578, 1995.
S. B. Serpico, Bruzzone, L., e Roli, F., «An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images», Pattern Recognition Letters, vol 17, pagg 1331-1341, 1996.
M. Scalas, Maiorca, D., Mercaldo, F., Visaggio, C. Aaron, Martinelli, F., e Giacinto, G., «On the Effectiveness of System API-Related Information for Android Ransomware Detection», Computers and Security, vol 86, pagg 162-182, 2019. (706.92 KB)
R. Satta e Ciardulli, A., «Sensor pattern noise and image similarity for picture-to-identity linking», IET Computer Vision, vol 6, n° 5, 2015. (1.55 MB)
R. Satta, «Dissimilarity-based people re-identification and search for intelligent video surveillance», University of Cagliari, Cagliari (Italy), 2013. (7.08 MB)
R. Satta, Galbally, J., e Beslay, L., «Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information», in 22nd IEEE International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, 2014. (272.46 KB)
R. Satta, Fumera, G., e Roli, F., «Exploiting Dissimilarity Representations for Person Re-Identification», in 1st International Workshop on Similarity-Based Pattern Analysis and Recognition (SIMBAD 2011), Venice, Italy, 2011. (686.41 KB)
R. Satta, Fumera, G., e 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)
R. Satta, Pala, F., Fumera, G., e Roli, F., «People search with textual queries about clothing appearance attributes», in Person Re‐Identification, Advances in Computer Vision and Pattern Recognition, S. Gong, Cristani, M., Yan, S., e Loy, C. Change Springer, 2014. (1.07 MB)