Publications

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L. Putzu, Piras, L., and 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, pp. 26995-27021, 2020.
L. Putzu and Fumera, G., “An empirical evaluation of nuclei segmentation from H&E images in a real application scenario”, Applied Sciences (Switzerland), vol. 10, pp. 1-15, 2020.
L. Putzu, Loddo, A., and 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, pp. 287–297.
L. Putzu, Piras, L., and 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, Untesco, M., and Fumera, G., “Automatic Myelofibrosis Grading from Silver-Stained Images”, in Computer Analysis of Images and Patterns, Cham, 2021, pp. 195–205.
N. Poh, Rattani, A., and Roli, F., “A Critical Analysis of Adaptive Biometric Systems”, IET Biometrics, 2012.
P. Piredda, Ariu, D., Biggio, B., Corona, I., Piras, L., Giacinto, G., and 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, pp. 347-358. (1.21 MB)
L. Piras, Giacinto, G., and 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 and 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, pp. 328-342. (229.92 KB)
L. Piras and 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, pp. 238-241. (181.68 KB)
L. Piras, Giacinto, G., and Paredes, R., “Enhancing image retrieval by an Exploration-Exploitation approach”, in 8th International Conference Machine Learning and Data Mining (MLDM), Berlin, 2012, vol. 7376, pp. 355-365. (307.57 KB)
L. Piras and Giacinto, G., “Information Fusion in Content Based Image Retrieval: A Comprehensive Overview”, Information Fusion, vol. 37, pp. 50-60, 2017. (734.6 KB)
L. Piras, Tronci, R., Murgia, G., and 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 and 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, Tronci, R., and 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 and 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 and Giacinto, G., “Synthetic Pattern Generation for Imbalanced Learning in Image Retrieval”, Pattern Recognition Letters, vol. 33, p. 7, 2012. (236.64 KB)
L. Piras, Caputo, B., Dang-Nguyen, D. - T., Riegler, M., and Halvorsen, P., “Image Retrieval Evaluation in Specific Domains”, in Information Retrieval Evaluation in a Changing World - Lessons Learned from 20 Years of CLEF, 2019, pp. 275–305. (202.36 KB)
L. Piras and 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, Furcas, D., and Giacinto, G., “User-driven Nearest-Neighbour Exploration of Image Archives”, in 4th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Lisbon, Portugal, 2015, pp. 181 - 189. (376.55 KB)
M. Pintor, Roli, F., Brendel, W., and Biggio, B., “Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints”, in NeurIPS, 2021.
I. Pillai, Fumera, G., and Roli, F., “A Classification Approach with a Reject Option for Multi-label Problems”, in 16th Int. Conf. on Image Analysis and Processing (ICIAP 2011), Ravenna, Italy, 2011. (279.96 KB)
I. Pillai, Fumera, G., and Roli, F., “F -Measure Optimisation in Multi-label Classifiers”, in 22nd IEEE International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, 2014, pp. 3452 - 3456. (287.72 KB)
I. Pillai, Fumera, G., and Roli, F., “Threshold optimisation for multi-label classifiers”, Pattern Recognition, vol. 46, no. 7, 2013. (445.97 KB)
I. Pillai, Fumera, G., and Roli, F., “Designing multi-label classifiers that maximize F measures: state of the art”, Pattern Recognition, vol. 61, 2017. (452.28 KB)

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