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R. P. W. Duin, Roli, F., and de Ridder, D., “A note on core research issues for statistical pattern recognition”, Pattern Recognition Letters, vol. 23, pp. 493-499, 2002.
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., “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., “Adaptive Multibiometric Systems”, in Multibiometrics for Human Identification, B. Bhanu and Govindaraju, V. Cambridge University Press, 2011.
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, 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, 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, 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, “Dynamic Classifier Selection”, Cagliari (Italy), 2005.
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, 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, 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, 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., “Semi-supervised co-update of multiple matchers”, in 8th International Workshop on Multiple Classifiers Systems, Reykijavik (Iceland), 2009.
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.
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, Loddo, A., and Putzu, L., “On The Potential of Image Moments for Medical Diagnosis”, Journal of Imaging, vol. 9, 2023.
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, Loddo, A., and Putzu, L., “Histological image analysis by invariant descriptors”, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10484 LNCS, pp. 345 – 356, 2017.
C. Di Ruberto, Loddo, A., and Putzu, L., “Special Issue on Image Processing Techniques for Biomedical Applications”, Applied Sciences (Switzerland), vol. 12, 2022.
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, Putzu, L., and Rodriguez, G., “Fast and accurate computation of orthogonal moments for texture analysis”, Pattern Recognition, vol. 83, pp. 498 – 510, 2018.
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., “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 and Putzu, L., “Accurate blood cells segmentation through intuitionistic fuzzy set threshold”, in Proceedings - 10th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2014, 2015, pp. 57 – 64.

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