Publications

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L. Putzu, Piras, L., e Giacinto, G., «Ten years of Relevance Score for Content Based Image Retrieval», in 14th International Conference Machine Learning and Data Mining (MLDM), New York, 2018, vol 10935.
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D. - T. Dang-Nguyen, Piras, L., Giacinto, G., Boato, G., e De Natale, F. G. B., «Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images», ACM Transactions on Multimedia Computing, Communications, and Applications, vol 13, n° 4, 2017. (5.94 MB)
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A. Demontis, Biggio, B., Fumera, G., Giacinto, G., e Roli, F., «Infinity-norm Support Vector Machines against Adversarial Label Contamination», 1st Italian Conference on CyberSecurity (ITASEC). Venice, Italy , pagg 106-115, 2017. (504.93 KB)
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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 on Conference on Data and Application Security and Privacy, New York, NY, USA, 2017, pagg 309–320.
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L. Putzu, Piras, L., e Giacinto, G., «Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback», Multimedia Tools and Applications, vol 79, pagg 26995-27021, 2020.