Publications

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C. Gurrin, Schoeffmann, K., Joho, H., Dang-Nguyen, D. - T., Riegler, M., and Piras, L., “Proceedings of the 2018 {ACM} Workshop on The Lifelog Search Challenge, LSC@ICMR 2018, Yokohama, Japan, June 11, 2018”. {ACM}, 2018.
C. Gurrin, Schöffmann, K., Joho, H., Dang-Nguyen, D. - T., Riegler, M., and Piras, L., “Proceedings of the {ACM} Workshop on Lifelog Search Challenge, LSC@ICMR 2019, Ottawa, ON, Canada, 10 June 2019”. ACM, 2019.
C. Gurrin, Schoeffmann, K., Joho, H., Leibetseder, A., Zhou, L., Duane, A., Dang-Nguyen, D. - T., Riegler, M., Piras, L., Tran, M. - T., Lokoč, J., and Hürst, W., “Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)”, ITE Transactions on Media Technology and Applications, vol. 7, pp. 46-59, 2019. (4.7 MB)
Y. Guan, Li, C. - T., and Roli, F., “On Reducing the Effect of Covariate Factors in Gait Recognition: a Classifier Ensemble Method”, IEEE Transactions on Pattern Analysis and Machine Intelligence, In Press. (311.43 KB) (151.4 KB)
Y. Guan, Wei, X., Li, C. - T., Marcialis, G. L., Roli, F., and Tistarelli, M., “Combining Gait and Face for Tackling the Elapsed Time Challenges”, in IEEE 6th International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2013), Washington DC (USA), 2013, pp. 1-8. (663.7 KB)
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)
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)
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., “Query Shifting Based on Bayesian Decision Theory for Content-Based Image Retrieval”, in oint IAPR Int. Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (S+SSPR 2002), 2002, vol. 2396, pp. 607-616.
G. Giacinto and Roli, F., “Methods for Dynamic Classifier Selection”, in 10th International Conference on Image Analysis and Processing, Venice, Italy, 1999, pp. 659-664.
G. Giacinto, “Moving Targets - When Data Classes Depend on Subjective Judgement, or They Are Crafted by an Adversary to Mislead Pattern Analysis Algorithms - The Cases of Content Based Image Retrieval and Adversarial Classification”, in Advances in Data Mining. Applications and Theoretical Aspects, vol. LNCS 6171, P. Perner Springer-Verlag, 2010, pp. 1-16.
G. Giacinto and Roli, F., “Dynamic Classifier Selection Based on Multiple Classifier Behaviour”, Pattern Recognition, vol. 34, pp. 179-181, 2001.
G. Giacinto, Roli, F., and Tronci, R., “Score Selection Techniques for Fingerprint Multi-modal Biometric Authentication”, in 13th International Conference on Image Analysis and Processing (ICIAP 2005), Cagliari (Italy), 2005, vol. 3617, pp. 1018-1025.
G. Giacinto, Roli, F., and Fumera, G., “Design of effective multiple classifier systems by clustering of classifiers”, in 15th Int. Conference on Pattern Recognition (ICPR 2000), Barcelona, Spain, 2000, vol. 2, pp. 160-163.
G. Giacinto, Perdisci, R., Del Rio, M., and Roli, F., “Intrusion detection in computer networks by a modular ensemble of one-class classifiers”, Information Fusion, vol. 9, 2008.
G. Giacinto and Roli, F., “Intrusion Detection in Computer Networks by Multiple Classifier Systems”, in 16th International Conference on Pattern Recognition (ICPR 2002), Quebec City, Canada, 2002, vol. II, pp. 390-393.
G. Giacinto and Roli, F., “Automatic Design of Multiple Classifier Systems by Unsupervised Learning”, in 1st Int. Workshop on Machine Learning and Data Mining in Pattern Recognition, 1999, vol. 1715, pp. 131-143.
G. Giacinto and Roli, F., “Design of effective neural network ensembles for image classification”, Image and Vision Computing Journal, vol. 19, pp. 697-705, 2001.
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.
G. Giacinto and Roli, F., “A theoretical framework for dynamic classifier selection”, in 15th International Conference on Pattern Recognition, Barcelona, Spain, 2000, vol. 2, pp. 8-11.
G. Giacinto, Paolucci, R., and Roli, F., “Application of Neural Networks and Statistical Pattern Recognition Algorithms to Earthquake Risk Evaluations”, Pattern Recognition Letters, vol. 18, pp. 1353-1362, 1997.
G. Giacinto and Roli, F., “Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval”, in Machine Learning and Data Mining in Pattern Recognition (MLDM 2003), Leipzig, Germany, 2003, vol. 2734, pp. 202-214.
G. Giacinto, Roli, F., and Fumera, G., “Unsupervised Learning of Neural Network Ensembles for Image Classification”, in IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN 2000), Como, Italy, 2000, vol. III, pp. 155-159.
G. Giacinto and Roli, F., “An Approach to the Automatic Design of Multiple Classifier Systems”, Pattern Recognition Letters, vol. 22, pp. 25-33, 2001.
G. Giacinto and Roli, F., “Instance-Based Relevance Feedback for Image Retrieval”, in Advances in Neural Information Processing Systems (NIPS) 17, 2005, pp. 489-496.

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