Publications

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M. Pintor, Demetrio, L., Sotgiu, A., Melis, M., Demontis, A., e Biggio, B., «secml: A Python Library for Secure and Explainable Machine Learning», SoftwareX, 2022.
M. Pintor, Roli, F., Brendel, W., e Biggio, B., «Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints», in NeurIPS, 2021.
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 e Giacinto, G., «Information Fusion in Content Based Image Retrieval: A Comprehensive Overview», Information Fusion, vol 37, pagg 50-60, 2017. (734.6 KB)
L. Piras e Giacinto, G., «K-Nearest Neighbors Directed Synthetic Images Injection», in 11th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Desenzano del Garda, Italy, 2010. (167.12 KB)
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. Piras, Giacinto, G., e Paredes, R., «Passive-Aggressive Online Learning for Relevance Feedback in Content Based Image Retrieval», in 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM), Barcelona, Spain, 2013. (138.32 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)
L. Piras, Giacinto, G., e Paredes, R., «Enhancing image retrieval by an Exploration-Exploitation approach», in 8th International Conference Machine Learning and Data Mining (MLDM), Berlin, 2012, vol 7376, pagg 355-365. (307.57 KB)
L. Piras e Giacinto, G., «Dissimilarity representation in multi-feature spaces for image retrieval», in 16th Int. Conference on Image Analysis and Processing (ICIAP), Ravenna, Italy, 2011. (252.22 KB)
L. Piras, Caputo, B., Dang-Nguyen, D. - T., Riegler, M., e Halvorsen, P., «Image Retrieval Evaluation in Specific Domains», in Information Retrieval Evaluation in a Changing World - Lessons Learned from 20 Years of CLEF, 2019, pagg 275–305. (202.36 KB)
L. Piras, Tronci, R., e Giacinto, G., «Diversity in ensembles of codebooks for visual concept detection», in 17th Int. Conference on Image Analysis and Processing (ICIAP), Naples, Italy, 2013. (303.73 KB)
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)
L. Piras, Tronci, R., Murgia, G., e Giacinto, G., «The PRA and AmILAB at ImageCLEF 2012 Photo Flickr Annotation Task», in CLEF (Online Working Notes/Labs/Workshop), Rome, 2012. (540.05 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)
P. Piredda, Ariu, D., Biggio, B., Corona, I., Piras, L., Giacinto, G., e Roli, F., «Deepsquatting: Learning-based Typosquatting Detection at Deeper Domain Levels», in 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), 2017, vol 10640 of LNCS, pagg 347-358. (1.21 MB)
N. Poh, Rattani, A., e Roli, F., «A Critical Analysis of Adaptive Biometric Systems», IET Biometrics, 2012.
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.
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.
L. Putzu e Fumera, G., «An empirical evaluation of nuclei segmentation from H&E images in a real application scenario», Applied Sciences (Switzerland), vol 10, pagg 1-15, 2020.
L. Putzu, Loddo, A., e Di Ruberto, C., «Invariant Moments, Textural and Deep Features for Diagnostic MR and CT Image Retrieval», in Computer Analysis of Images and Patterns, Cham, 2021, pagg 287–297.
L. Putzu, Untesco, M., e Fumera, G., «Automatic Myelofibrosis Grading from Silver-Stained Images», in Computer Analysis of Images and Patterns, Cham, 2021, pagg 195–205.
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A. Rattani, Freni, B., Marcialis, G. L., e Roli, F., «Template update methods in adaptive biometric systems: a critical review», in 3rd International Conference on Biometrics, Alghero (Italy), 2009, vol 5558, pagg 847-856.
A. Rattani, Marcialis, G. L., e Roli, F., «Biometric template update using the graph mincut: a case study in face verification», in 6th IEEE Biometric Symposium, Tampa, Florida, USA, 2008.
A. Rattani, Marcialis, G. L., e Roli, F., «Boosting Gallery Representativeness by Co-updating Face and Fingerprint Verification Systems». 2008.

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