Publications

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R. Satta, Sensor Pattern Noise matching based on reliability map for source camera identification, in 10th International Conference on Computer Vision Theory and Applications (VISAPP 2015), Berlin, Germany, 2015. (439.56 KB)
R. Satta, Appearance Descriptors for Person Re-identification: a Comprehensive Review. 2013. (3.44 MB)
R. Satta, Fumera, G., Roli, F., Cristani, M., and Murino, V., A Multiple Component Matching Framework for Person Re-Identification, in 16th Int. Conf. on Image Analysis and Processing (ICIAP 2011), Ravenna, Italy, 2011. (519.85 KB)
R. Satta and Stirparo, P., Picture-to-Identity linking of social network accounts based on Sensor Pattern Noise, in 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013), London, United Kingdom, 2013. (348.28 KB)
R. Satta and Ciardulli, A., Sensor pattern noise and image similarity for picture-to-identity linking, IET Computer Vision, vol. 6, no. 5, 2015. (1.55 MB)
R. Satta, Galbally, J., and 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., and 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, Dissimilarity-based people re-identification and search for intelligent video surveillance, University of Cagliari, Cagliari (Italy), 2013. (7.08 MB)
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)
R. Satta, Pala, F., Fumera, G., and 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., and Loy, C. Change Springer, 2014. (1.07 MB)
M. Scalas, Maiorca, D., Mercaldo, F., Visaggio, C. Aaron, Martinelli, F., and Giacinto, G., On the Effectiveness of System API-Related Information for Android Ransomware Detection, Computers and Security, vol. 86, pp. 162-182, 2019. (706.92 KB)
S. B. Serpico, Bruzzone, L., and Roli, F., An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images, Pattern Recognition Letters, vol. 17, pp. 1331-1341, 1996.
S. B. Serpico and Roli, F., Classification of multi-sensor remote- sensing images by structured neural networks, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 562-578, 1995.
A. Serrau, Marcialis, G. L., Bunke, H., and 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, pp. 281-290.
A. Serrau, Structural and graph-based methods for automatic fingerprint classification, Cagliari (Italy), 2006.
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)
R. Soleymani, Granger, E., and Fumera, G., Progressive Boosting for Class Imbalance and Its Application to Face Re-Identification, Expert Systems With Applications, vol. 101, p. 21, 2018. (1.11 MB)
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)
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)
R. Soleymani, Granger, E., and Fumera, G., F-Measure Curves: A Tool to Visualize Classifier Performance Under Imbalance, Pattern Recognition, In Press.
G. Suarez-Tangil, Dash, S. Kumar, Ahmadi, M., Kinder, J., Giacinto, G., and 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)
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R. Tronci, Giacinto, G., and 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, pp. 795-809.
R. Tronci, Ensemble of binary classifiers: combination techniques and design issues, University of Cagliari, 2008.
R. Tronci, Giacinto, G., and 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, pp. 357-366.
R. Tronci, Giacinto, G., and Roli, F., Dynamic score combination of binary experts, in 19th International Conference on Pattern Recognition (ICPR 2008), Tampa (Florida, USA), 2008.

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