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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.
L. Putzu e Di Ruberto, C., «White Blood Cells Identification and Classification from Leukemic Blood Image», in PROCEEDINGS IWBBIO 2013: INTERNATIONAL WORK-CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, AV ANDALUCIA, 38, GRANADA, GRANADA 18014, SPAIN, 2013, pagg 99-106.
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 e Di Ruberto, C., «Investigation of different classification models to determine the presence of leukemia in peripheral blood image», in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013, vol 8156 LNCS, pagg 612 – 621.
L. Putzu, Caocci, G., e Di Ruberto, C., «Leucocyte classification for leukaemia detection using image processing techniques», Artificial Intelligence in Medicine, vol 62, pagg 179 – 191, 2014.
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, Di Ruberto, C., e Fenu, G., «A mobile application for leaf detection in complex background using saliency maps», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 10016 LNCS, pagg 570 – 581, 2016.
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.
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 Di Ruberto, C., «Rotation invariant co-occurrence matrix features», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 10484 LNCS, pagg 391 – 401, 2017.
S. Porcu, Loddo, A., Putzu, L., e Di Ruberto, C., «White blood cells counting via vector field convolution nuclei segmentation», in VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018, vol 4, pagg 227 – 234.
N. Poh, Rattani, A., e Roli, F., «A Critical Analysis of Adaptive Biometric Systems», IET Biometrics, 2012.
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)
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., «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 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, 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., «Information Fusion in Content Based Image Retrieval: A Comprehensive Overview», Information Fusion, vol 37, pagg 50-60, 2017. (734.6 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 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, 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., «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, 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 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 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)

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