Publications

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C. Di Ruberto, Loddo, A., e Putzu, L., «Learning by sampling for white blood cells segmentation», in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol 9279, pagg 557 – 567.
C. Di Ruberto, Loddo, A., e Putzu, L., «A region proposal approach for cells detection and counting from microscopic blood images», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 11752 LNCS, pagg 47 – 58, 2019.
C. Di Ruberto, Loddo, A., e Putzu, L., «Detection of red and white blood cells from microscopic blood images using a region proposal approach», Computers in Biology and Medicine, vol 116, 2020.
C. Di Ruberto, Fodde, G., e Putzu, L., «Comparison of statistical features for medical colour image classification», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 9163. pagg 3 – 13, 2015.
C. Di Ruberto, Fodde, G., e Putzu, L., «On different colour spaces for medical colour image classification», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 9256, pagg 477 – 488, 2015.
C. Di Ruberto e Putzu, L., A Feature Learning Framework for Histology Images Classification. 2016, pagg 37 – 48.
C. Di Ruberto e Putzu, L., «A fast leaf recognition algorithm based on SVM classifier and high dimensional feature vector», in VISAPP 2014 - Proceedings of the 9th International Conference on Computer Vision Theory and Applications, 2014, vol 1, pagg 601 – 609.
C. Di Ruberto, Loddo, A., e Putzu, L., «A multiple classifier learning by sampling system for white blood cells segmentation», Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 9257, pagg 415 – 425, 2015.
C. Di Ruberto, Loddo, A., e Putzu, L., «On The Potential of Image Moments for Medical Diagnosis», Journal of Imaging, vol 9, 2023.
C. Di Ruberto, Loddo, A., e Putzu, L., «A leucocytes count system from blood smear images: Segmentation and counting of white blood cells based on learning by sampling», Machine Vision and Applications, vol 27, pagg 1151 – 1160, 2016.
C. Di Ruberto, Putzu, L., e Rodriguez, G., «Fast and accurate computation of orthogonal moments for texture analysis», Pattern Recognition, vol 83, pagg 498 – 510, 2018.
M. Dibitonto, Buonaiuto, A., Marcialis, G. L., Muntoni, D., Medaglia, C. Maria, e Roli, F., «Fusion of Radio and Video Localization for People Tracking», in Int. Joint Conf. on Ambient Intelligence (AMI2011), Amsterdam (Holland), 2011.
L. Didaci, Marcialis, G. L., e Roli, F., «Adaptive Multibiometric Systems», in Multibiometrics for Human Identification, B. Bhanu e Govindaraju, V. Cambridge University Press, 2011.
L. Didaci, Marcialis, G. L., e Roli, F., «Semi-supervised co-update of multiple matchers», in 8th International Workshop on Multiple Classifiers Systems, Reykijavik (Iceland), 2009.
L. Didaci e Roli, F., «Using Co-training and Self-training in Semi-Supervised Multiple Classifier Systems», in Statistical Techniques in Pattern Recognition, Hong Kong, China, 2006.
L. Didaci e Giacinto, G., «Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule», in 5th Int. Workshop on Multiple Classifier Systems (MCS 2004), 2004, vol 3077.
L. Didaci, Marcialis, G. L., e Roli, F., «Analysis of unsupervised template update in biometric recognition systems», Pattern Recognition Letters, vol 37, n° 1, 2014. (1.37 MB)
L. Didaci, Fumera, G., e Roli, F., «Diversity in classifier ensembles: fertile concept or dead end?», in 11th Int. Workshop on Multiple Classifier Systems, Nanjing, China, 2013, vol 7872. (241.27 KB) (163.54 KB)
L. Didaci, Giacinto, G., e Roli, F., «Ensemble Learning for Intrusion Detection in Computer Networks», in AI*IA, Workshop on "Apprendimento automatico: metodi e applicazioni", Siena, Italy, 2002.
L. Didaci, Marcialis, G. L., e Roli, F., «A Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems», in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008.
L. Didaci, Giacinto, G., Roli, F., e Marcialis, G. L., «A study on the performances of Dynamic Classifier Selection based on Local Accuracy Estimation», Pattern Recognition, vol 38, pagg 2188-2191, 2005.
L. Didaci, Marcialis, G. L., e Roli, F., «Modelling FRR of biometric verification systems using the template co-update algorithm», in 3rd International Conference on Biometrics, Alghero (Italy), 2009, vol 5558, pagg 765-774.
L. Didaci, Marcialis, G. L., e Roli, F., «Semi-supervised techniques for improving the performance of multiple classifier systems and personal recognition systems using biometric traits», in Italian Conference on Intelligent Systems (CISI06), Ancona (Italy), 2006.
L. Didaci, Fumera, G., e Roli, F., «Analysis of Co-training Algorithm with Very Small Training Sets», in Structural, Syntactic, and Statistical Pattern Recognition, 2012, vol 7626, pagg 719-726.
L. Didaci, «Dynamic Classifier Selection», Cagliari (Italy), 2005.

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