Publications

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C. Di Ruberto, Loddo, A., and 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, pp. 557 – 567.
C. Di Ruberto, Loddo, A., and 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, pp. 47 – 58, 2019.
C. Di Ruberto, Loddo, A., and 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., and 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. pp. 3 – 13, 2015.
C. Di Ruberto, Fodde, G., and 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, pp. 477 – 488, 2015.
C. Di Ruberto and Putzu, L., A Feature Learning Framework for Histology Images Classification. 2016, pp. 37 – 48.
C. Di Ruberto and 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, pp. 601 – 609.
C. Di Ruberto, Loddo, A., and 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, pp. 415 – 425, 2015.
C. Di Ruberto, Loddo, A., and Putzu, L., “On The Potential of Image Moments for Medical Diagnosis”, Journal of Imaging, vol. 9, 2023.
C. Di Ruberto, Loddo, A., and 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, pp. 1151 – 1160, 2016.
C. Di Ruberto, Putzu, L., and Rodriguez, G., “Fast and accurate computation of orthogonal moments for texture analysis”, Pattern Recognition, vol. 83, pp. 498 – 510, 2018.
M. Dibitonto, Buonaiuto, A., Marcialis, G. L., Muntoni, D., Medaglia, C. Maria, and 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., and Roli, F., “Adaptive Multibiometric Systems”, in Multibiometrics for Human Identification, B. Bhanu and Govindaraju, V. Cambridge University Press, 2011.
L. Didaci, Marcialis, G. L., and Roli, F., “Semi-supervised co-update of multiple matchers”, in 8th International Workshop on Multiple Classifiers Systems, Reykijavik (Iceland), 2009.
L. Didaci and 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 and 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., and Roli, F., “Analysis of unsupervised template update in biometric recognition systems”, Pattern Recognition Letters, vol. 37, no. 1, 2014. (1.37 MB)
L. Didaci, Fumera, G., and 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., and 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., and 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., and Marcialis, G. L., “A study on the performances of Dynamic Classifier Selection based on Local Accuracy Estimation”, Pattern Recognition, vol. 38, pp. 2188-2191, 2005.
L. Didaci, Marcialis, G. L., and 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, pp. 765-774.
L. Didaci, Marcialis, G. L., and 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., and Roli, F., “Analysis of Co-training Algorithm with Very Small Training Sets”, in Structural, Syntactic, and Statistical Pattern Recognition, 2012, vol. 7626, pp. 719-726.
L. Didaci, “Dynamic Classifier Selection”, Cagliari (Italy), 2005.

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