Publications

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G. Giacinto, A Nearest-Neighbor Approach to Relevance Feedback in Content Based Image Retrieval, in 6th ACM international conference on Image and video retrieval (CIVR'07), Amsterdam, 2007, pp. 456-463.
G. Giacinto and Roli, F., Nearest-Prototype Relevance Feedback for Content Based Image Retrieval, in Int. Conf. on Pattern Recognition (ICPR 2004), Cambridge (UK), 2004, pp. 989-992.
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)
G. Giacinto, Perdisci, R., and Roli, F., Network Intrusion Detection by Combining One-class Classifiers, in 13th International Conference on Image Analysis and Processing (ICIAP 2005), Cagliari, Italy, 2005, vol. 3617, pp. 58-65.
F. Roli, Serpico, S. B., and Vernazza, G., Neural Networks for classification of remotely sensed images, in Fuzzy Logic and Neural Network Handbook, C. H. C. hen McGraw-Hill, 1996.
Y. Yao, Marcialis, G. L., Pontil, M., Frasconi, P., and Roli, F., A New Machine Learning Approach to Fingerprint Classification, in 7mo Congresso dell’Associazione Italiana per l’Intelligenza Artificiale, Bari (Italy), 2001, vol. 2175, pp. 57-63.
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.
M. Ahmadi, Ulyanov, D., Semenov, S., Trofimov, M., and Giacinto, G., Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification, in Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, 2016, pp. 183–194. (6.49 MB)
G. L. Marcialis, Roli, F., and Fadda, G., A Novel Method for Head Pose Estimation based on the ``Vitruvian Man'', International Journal of Machine Learning and Cybernetics, vol. 5, no. 1, 2014. (1.06 MB)
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B. Biggio, Corona, I., He, Z. - M., Chan, P. P. K., Giacinto, G., Yeung, D. S., and Roli, F., One-and-a-half-class Multiple Classifier Systems for Secure Learning against Evasion Attacks at Test Time, in Int'l Workshop on Multiple Classifier Systems (MCS), 2015, vol. 9132, pp. 168-180. (467.23 KB)
A. Gambardella, Giacinto, G., Migliaccio, M., and Montali, A., One-class classification for oil spill detection, Pattern Analysis and Applications, 2009.
B. Freni, Marcialis, G. L., and Roli, F., Online and offline fingerprint template update using minutiae: an experimental comparison, in 5th International Workshop on Automated Motion and Deformable Objects (AMDO 2008), Andratx (Mallorca, Spain), 2008, vol. 5098, pp. 441-448.
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. Zhou, Piras, L., Rieger, M., Boato, G., Dang-Nguyen, D. - T., and Gurrin, C., Organizer Team at ImageCLEFlifelog 2017: Baseline Approaches for Lifelog Retrieval and Summarization, in CLEF working notes, CEUR, Dublin, 2017, vol. 1866. (220.99 KB)
B. Ionescu, Müller, H., Villegas, M., Arenas, H., Boato, G., Dang-Nguyen, D. - T., Cid, Y. Dicente, Eickhoff, C., de Herrera, A. García Se, Gurrin, C., Islam, B., Kovalev, V., Liauchuk, V., Mothe, J., Piras, L., Riegler, M., and Schwall, I., Overview of ImageCLEF 2017: Information extraction from images, in CLEF 2017 Proceedings, Dublin, Ireland, 2017, pp. 315-337.
B. Ionescu, Müller, H., Villegas, M., de Herrera, A. García Se, Eickhoff, C., Andrearczyk, V., Cid, Y. Dicente, Liauchuk, V., Kovalev, V., Hasan, S. A., Ling, Y., Farri, O., Liu, J., Lungren, M., Dang-Nguyen, D. - T., Piras, L., Riegler, M., Zhou, L., Lux, M., and Gurrin, C., Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation, in Experimental {IR} Meets Multilinguality, Multimodality, and Interaction - 9th International Conference of the {CLEF} Association, {CLEF} 2018, Avignon, France, September 10-14, 2018, Proceedings, 2018, pp. 309–334.
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Boato, G., Zhou, L., and Gurrin, C., Overview of ImageCLEFlifelog 2017: Lifelog Retrieval and Summarization, in CLEF2017 Working Notes, Dublin, Ireland, 2017, vol. 1866. (1.7 MB)
D. - T. Dang-Nguyen, Piras, L., Riegler, M., Zhou, L., Lux, M., and Gurrin, C., Overview of ImageCLEFlifelog 2018: Daily Living Understanding and Lifelog Moment Retrieval, in Working Notes of {CLEF} 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018., 2018. (2.01 MB)
A. Gilbert, Piras, L., Wang, J., Yan, F., Dellandrea, E., Gaizauskas, R., Villegas, M., and Mikolajczyk, K., Overview of the ImageCLEF 2015 Scalable Image Annotation, Localization and Sentence Generation task, in CLEF2015 Working Notes, Toulouse, France, 2015. (515.88 KB) (581 bytes)
A. Gilbert, Piras, L., Wang, J., Yan, F., Ramisa, A., Dellandrea, E., Gaizauskas, R., Villegas, M., and Mikolajczyk, K., Overview of the ImageCLEF 2016 Scalable Concept Image Annotation Task, in CLEF2016, 2016. (2.47 MB)
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A. Jozwik, Serpico, S. B., and Roli, F., A parallel network of modified 1-NN and k-NN classifiers - Application to remote sensing image classification, Pattern Recognition Letters, vol. 19, pp. 57-62, 1998.
E. Santucci, Didaci, L., Fumera, G., and Roli, F., A Parameter Randomization Approach for Constructing Classifier Ensembles, Pattern Recognition, vol. 69, pp. 1-13, 2017. (448.73 KB)
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)
F. Roli and Giacinto, G., Pattern Recognition for Intrusion Detection in Computer Networks, in Pattern Recognition and String Matching, D. Chen and Cheng, X. Kluwer Academic Publishers, 2002.

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