Publications

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Journal Article
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)
L. Putzu, Piras, L., and Giacinto, G., Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback, Multimedia Tools and Applications, vol. 79, pp. 26995-27021, 2020.
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. Sotgiu, Demontis, A., Melis, M., Biggio, B., Fumera, G., Feng, X., and Roli, F., Deep Neural Rejection against Adversarial Examples, EURASIP Journal on Information Security, vol. 5, 2020.
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, vol. 122, p. 20, 2019. (1.69 MB)
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. (452.28 KB)
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.
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.
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)
A. Loddo and Putzu, L., On the Effectiveness of Leukocytes Classification Methods in a Real Application Scenario, AI, vol. 2, pp. 394–412, 2021.
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)
P. Temple, Perrouin, G., Acher, M., Biggio, B., Jézéquel, J. - M., and Roli, F., Empirical Assessment of Generating Adversarial Configurations for Software Product Lines, Empirical Software Engineering, vol. 26, no. 6, 2021. (1.29 MB)
L. Putzu and Fumera, G., An empirical evaluation of nuclei segmentation from H&E images in a real application scenario, Applied Sciences (Switzerland), vol. 10, pp. 1-15, 2020.
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.
S. B. Serpico, Bruzzone, L., and Roli, F., An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images, Pattern Recognition Letters, vol. 17, pp. 1331-1341, 1996.
L. Bruzzone, Roli, F., and Serpico, S. B., An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection, IEEE Transactions on Geoscience and Remote Sensing, vol. 33, pp. 1318-1321, 1995.

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