Publications

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Journal Article
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)
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., An Approach to the Automatic Design of Multiple Classifier Systems, Pattern Recognition Letters, vol. 22, pp. 25-33, 2001.
R. Paolucci, Coli, P., and Giacinto, G., Assessment of seismic site effects in 2-D alluvial valleys using neural networks, Earthquake Spectra, vol. 16, pp. 661-680, 2000.
G. Giacinto and Roli, F., Bayesian Relevance Feedback for Content-Based Image Retrieval, Pattern Recognition, vol. 37, pp. 1499-1508, 2004.
A. Rattani, Marcialis, G. L., and Roli, F., Biometric System Adaptation by Self-update and Graph-based techniques, Journal of Visual Languages and Computing, Elsevier, 2013.
S. B. Serpico and Roli, F., Classification of multi-sensor remote- sensing images by structured neural networks, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 562-578, 1995.
G. Giacinto, Roli, F., and Bruzzone, L., Combination of Neural and Statistical Algorithms for Supervised Classification of Remote-Sensing Images, Pattern Recognition Letters, vol. 21, pp. 385-397, 2000.
Y. Yao, Marcialis, G. L., Pontil, M., Frasconi, P., and Roli, F., Combining Flat and Structural Representations for Fingerprint Classification with Recursive Neural Networks and Support Vector Machine, Pattern Recognition, vol. 36, pp. 397-406, 2003.
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)
N. Poh, Rattani, A., and Roli, F., A Critical Analysis of Adaptive Biometric Systems, IET Biometrics, 2012.
G. Ennas, Biggio, B., and Di Guardo, M. Chiara, Data-driven Journal Meta-ranking in Business and Management, Scientometrics, pp. 1-19, 2015. (896.37 KB)
G. L. Marcialis and Roli, F., Decision-level fusion of PCA and LDA-based face recognition algorithms, International Journal of Image and Graphics, vol. 6, pp. 293-311, 2006.
A. Carcangiu, Spano, L. Davide, Fumera, G., and Roli, F., DEICTIC: a Compositional and Declarative Gesture Description based on Hidden Markov Model, International Journal of Human-Computer Studies, In Press.
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.
I. Pillai, Fumera, G., and Roli, F., Designing multi-label classifiers that maximize F measures: state of the art, Pattern Recognition, vol. 61, 2017.
R. Tronci, Giacinto, G., and Roli, F., Designing multiple biometric systems: measures of ensemble effectiveness, Engineering Applications of Artificial Intelligence, vol. 22, pp. 66-78, 2009.
D. Maiorca and Biggio, B., Digital Investigation of PDF Files: Unveiling Traces of Embedded Malware, IEEE Security and Privacy: Special Issue on Digital Forensics, vol. 17, no. 1, pp. 63-71, 2019. (838.95 KB)
W. W. Y. Ng, Hu, J., Yeung, D., Yin, S., and Roli, F., Diversified Sensitivity based Undersampling for Imbalance Classification Problems, IEEE Transactions on Cybernetics, In Press. (1.91 MB)
M. Narouei, Ahmadi, M., Giacinto, G., Takabi, H., and Sami, A., DLLMiner: structural mining for malware detection, Security and Communication Networks, 2015. (731.78 KB)
G. Giacinto and Roli, F., Dynamic Classifier Selection Based on Multiple Classifier Behaviour, Pattern Recognition, vol. 34, pp. 179-181, 2001.
R. Perdisci, Corona, I., and Giacinto, G., Early Detection of Malicious Flux Networks via Large-Scale Passive DNS Traffic Analysis, IEEE Transactions on Dependable and Secure Computing, vol. 9, pp. 714-726, 2012. (1.37 MB)
M. Fraschini, Hillebrand, A., Demuru, M., Didaci, L., and Marcialis, G. L., An EEG-based biometric system using eigenvector centrality in resting state brain activity, IEEE Signal Processing Letters, vol. 22, no. 6, 2015. (522.35 KB)
M. Scalas, Maiorca, D., Mercaldo, F., Visaggio, C. Aaron, Martinelli, F., and Giacinto, G., On the Effectiveness of System API-Related Information for Android Ransomware Detection, Computers and Security, vol. 86, pp. 162-182, 2019. (706.92 KB)
C. - T. Li and Satta, R., Empirical Investigation into the Correlation between Vignetting Effect and the Quality of Sensor Pattern Noise, IET Computer Vision, vol. 6, no. 6, pp. 560-566, 2012.

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