Publications

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Book
N. C. Oza, Polikar, R., Kittler, J., and Roli, F., Multiple Classifier Systems, vol. 3541. Springer-Verlag, 2005.
F. Roli, Kittler, J., and Windeatt, T., Multiple Classifier Systems, vol. 2364. Springer-Verlag, 2002.
J. Kittler and Roli, F., Multiple Classifier Systems, vol. 1857. Springer-Verlag, 2000.
M. Haindl, Kittler, J., and Roli, F., Multiple Classifier Systems, vol. 4472. Springer, 2007, p. 524.
F. Roli, Kittler, J., and Windeatt, T., Multiple Classifier Systems, vol. 3077. Springer-Verlag, 2004.
J. Kittler and Roli, F., Multiple Classifier Systems, vol. 2096. Springer-Verlag, 2001.
J. Atli Benediktsson, Kittler, J., and Roli, F., Multiple Classifier Systems, vol. 5519. Reykjavik, Iceland: Springer, 2009, p. 540.
Book Chapter
A. Rattani, Marcialis, G. L., and Roli, F., Adaptive Multibiometric Systems: Conceptual Representation and Performance Evaluation Over Time, in Handbook on Multibiometrics Systems: Modern Approach to Identity Verification, D. Ranjan Kisku, Gupta, P., and Tistarelli, M. VDM - Lambert Academic Publishing, 2012, pp. 120 -143.
F. Roli and Giacinto, G., Design of Multiple Classifier Systems, in Hybrid Methods in Pattern Recognition, B. ;A. H. Kandel World Scientific Publishing, 2002.
G. L. Marcialis, Roli, F., and Serrau, A., Graph-Based and Structural Methods for Fingerprint Classification, in Applied Graph Theory in Computer Vision and Pattern Recognition, A. Kandel, Bunke, H., and Last, M. Springer, 2007, pp. 205-226.
Conference Paper
J. Armin, Thompson, B., Kijewski, P., Ariu, D., Giacinto, G., and Roli, F., 2020 Cybercrime Economic Costs: No measure No solution, in First International Workshop on Future Scenarios for Cybercrime and Cyber-terrorism, co-located with the 10th International Conference on Availability, Reliability and Security (ARES), 2015. (526.44 KB)
B. Kolosnjaji, Demontis, A., Biggio, B., Maiorca, D., Giacinto, G., Eckert, C., and Roli, F., Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables, in 2018 26th European Signal Processing Conference (EUSIPCO), Rome, 2018, pp. 533-537. (674.62 KB)
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, 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.
F. Roli and Fumera, G., Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers, in 3rd Int. Workshop on Multiple Classifier Systems (MCS 2002), Cagliari, Italy, 2002, vol. 2364, pp. 252-261.
B. Biggio, Corona, I., Fumera, G., Giacinto, G., and Roli, F., Bagging classifiers for fighting poisoning attacks in adversarial classification tasks, in Multiple Classifier Systems (MCS 2011), 2011, vol. 6713, pp. 350-359. (231.43 KB)
R. Tronci, Giacinto, G., and Roli, F., Combination of experts by classifiers in similarity score spaces, in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008, vol. 5342, pp. 821-830.
R. Tronci, Giacinto, G., and Roli, F., Combination of experts by classifiers in similarity score spaces, in Joint IAPR Int. Workshop on Structural and Syntactical Pattern Recognition and Statistical Techniques in Pattern Recognition S+SSPR08, Orlando (Florida, USA), 2008, vol. 5342, pp. 821-830.
J. Austin, Giacinto, G., Kanellopoulos, I., Lees, K., Roli, F., Vernazza, G., and Wilkinson, G., The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing data, in 9th International Conference on Image Analysis and Processing, 1997, vol. 1311, pp. 765-772.
L. Kuncheva, Roli, F., Marcialis, G. L., and Shipp, C., Complexity of Data Subsets Generated by the Random Subspace Method: an Experimental Investigation, in 2nd International Workshop on Multiple Classifier Systems (MCS 2001), 2001, vol. 2096, pp. 349-358.
L. Kuncheva, Roli, F., Marcialis, G. L., and Shipp, C., Complexity of Data Subsets Generated by the Random Subspace Method: an Experimental Investigation, in 2nd International Workshop on Multiple Classifier Systems (MCS 2001), 2001, vol. 2096, pp. 349-358.
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)
S. Kumar Dash, Suarez-Tangil, G., Khan, S., Tam, K., Ahmadi, M., Kinder, J., and Cavallaro, L., DroidScribe: Classifying Android Malware Based on Runtime Behavior, in Mobile Security Technologies (MoST 2016), 2016. (571.22 KB)
S. Kumar Dash, Suarez-Tangil, G., Khan, S., Tam, K., Ahmadi, M., Kinder, J., and Cavallaro, L., DroidScribe: Classifying Android Malware Based on Runtime Behavior, in Mobile Security Technologies (MoST 2016), 2016. (571.22 KB)
G. Suarez-Tangil, Dash, S. Kumar, Ahmadi, M., Kinder, J., Giacinto, G., and Cavallaro, L., DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware, in Proceedings of the Seventh {ACM} Conference on Data and Application Security and Privacy, {CODASPY} 2017, In Press. (478.59 KB)

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