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G. Giacinto e Roli, F., «Nearest-Prototype Relevance Feedback for Content Based Image Retrieval», in Int. Conf. on Pattern Recognition (ICPR 2004), Cambridge (UK), 2004, pagg 989-992.
L. Piras e Giacinto, G., «Neighborhood-Based Feature Weighting for Relevance Feedback in Content-Based Retrieval», in 10th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), London, United Kingdom, 2009, pagg 238-241. (181.68 KB)
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L. Piras e Giacinto, G., «Open issues on codebook generation in Image Classification tasks», in 10th International Conference Machine Learning and Data Mining (MLDM), St. Petersburg, Russia, 2014, pagg 328-342. (229.92 KB)
L. Zhou, Piras, L., Rieger, M., Boato, G., Dang-Nguyen, D. - T., e Gurrin, C., «Organizer Team at ImageCLEFlifelog 2017: Baseline Approaches for Lifelog Retrieval and Summarization», in CLEF working notes, CEUR, Dublin, 2017, vol 1866. (220.99 KB)
B. Ionescu, Müller, H., Villegas, M., Arenas, H., Boato, G., Dang-Nguyen, D. - T., Cid, Y. Dicente, Eickhoff, C., de Herrera, A. García Se, Gurrin, C., Islam, B., Kovalev, V., Liauchuk, V., Mothe, J., Piras, L., Riegler, M., e Schwall, I., «Overview of ImageCLEF 2017: Information extraction from images», in CLEF 2017 Proceedings, Dublin, Ireland, 2017, pagg 315-337.
B. Ionescu, Müller, H., Villegas, M., de Herrera, A. García Se, Eickhoff, C., Andrearczyk, V., Cid, Y. Dicente, Liauchuk, V., Kovalev, V., Hasan, S. A., Ling, Y., Farri, O., Liu, J., Lungren, M., Dang-Nguyen, D. - T., Piras, L., Riegler, M., Zhou, L., Lux, M., e Gurrin, C., «Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation», in Experimental {IR} Meets Multilinguality, Multimodality, and Interaction - 9th International Conference of the {CLEF} Association, {CLEF} 2018, Avignon, France, September 10-14, 2018, Proceedings, 2018, pagg 309–334.
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Boato, G., Zhou, L., e Gurrin, C., «Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization», in CLEF2017 Working Notes, Dublin, Ireland, 2017, vol 1866. (1.7 MB)
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Zhou, L., Lux, M., e Gurrin, C., «Overview of ImageCLEFlifelog 2018: Daily Living Understanding and Lifelog Moment Retrieval», in Working Notes of {CLEF} 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018., 2018. (2.01 MB)
A. Gilbert, Piras, L., Wang, J., Yan, F., Dellandrea, E., Gaizauskas, R., Villegas, M., e Mikolajczyk, K., «Overview of the ImageCLEF 2015 Scalable Image Annotation, Localization and Sentence Generation task», in CLEF2015 Working Notes, Toulouse, France, 2015. (515.88 KB) (581 bytes)
A. Gilbert, Piras, L., Wang, J., Yan, F., Ramisa, A., Dellandrea, E., Gaizauskas, R., Villegas, M., e Mikolajczyk, K., «Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task», in CLEF2016, 2016. (2.47 MB)
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G. Giacinto e Roli, F., «Query Shifting Based on Bayesian Decision Theory for Content-Based Image Retrieval», in oint IAPR Int. Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (S+SSPR 2002), 2002, vol 2396, pagg 607-616.
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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)
L. Piras e Giacinto, G., «Synthetic Pattern Generation for Imbalanced Learning in Image Retrieval», Pattern Recognition Letters, vol 33, pag 7, 2012. (236.64 KB)
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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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L. Piras e Giacinto, G., «Unbalanced learning in Content-Based Image Classification and Retrieval», in IEEE International Conference on Multimedia & Expo (ICME), Singapore, 2010. (177.33 KB)
L. Piras, Furcas, D., e Giacinto, G., «User-driven Nearest-Neighbour Exploration of Image Archives», in 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Lisbon, Portugal, 2015, pagg 181 - 189. (376.55 KB)

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