Publications

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R. Satta, «Appearance Descriptors for Person Re-identification: a Comprehensive Review». 2013. (3.44 MB)
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)
R. Satta e 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, Fumera, G., e Roli, F., «Appearance-based People Recognition by Local Dissimilarity Representations», in 14th ACM Workshop on Multimedia and Security, Coventry, United Kingdom, 2012. (441.39 KB)
R. Satta, Fumera, G., e 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, pagg 1838-1848, 2012. (976.57 KB)
R. Satta, Pala, F., Fumera, G., e Roli, F., «Real-time Appearance-based Person Re-identification over Multiple KinectTM Cameras», in 8th International Conference on Computer Vision Theory and Applications (VISAPP 2013), Barcelona, Spain, 2013. (974.71 KB)
R. Satta, Fumera, G., Roli, F., Cristani, M., e 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 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)
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)
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.
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.
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.
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)
R. Soleymani, Granger, E., e 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., 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)
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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, Piras, L., Murgia, G., e Giacinto, G., «Image Hunter at ImageCLEF 2012 Personal Photo Retrieval Task», in CLEF (Online Working Notes/Labs/Workshop), Rome, 2012. (2.78 MB)
R. Tronci, «Ensemble of binary classifiers: combination techniques and design issues», University of Cagliari, 2008.
R. Tronci, Murgia, G., Pili, M., Piras, L., e Giacinto, G., «ImageHunter: a Novel Tool for Relevance Feedback in Content Based Image Retrieval», in New Challenges in Distributed Information Filtering and Retrieval. DART 2011: Revised and Invited Papers, C. Lai, Semeraro, G., e Vargiu, E. Springer, 2013. (1.98 MB)

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