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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)
A
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.
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
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)
C
P. Forner, Karlgren, J., and Womser-Hacker, C., CLEF 2012 Evaluation Labs and Workshop, Online Working Notes, Rome, Italy, September 17-20, 2012. 2012.
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.
D
F. Roli and Giacinto, G., Design of Multiple Classifier Systems, in Hybrid Methods in Pattern Recognition, B. ;A. H. Kandel World Scientific Publishing, 2002.
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)
G. Fumera, Roli, F., and Serrau, A., Dynamics of Variance Reduction in Bagging and Other Techniques, in 6th Int. Workshop on Multiple Classifier Systems (MCS 2005), Seaside, CA, USA, 2005, 2005th ed., vol. 3541, pp. 316-325.
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M. A. O. Ahmed, Didaci, L., Fumera, G., and Roli, F., An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles, in Multiple Classifier Systems, 2015, vol. 9132, pp. 206-219. (216.76 KB)
F. Roli, Kittler, J., Fumera, G., and Muntoni, D., An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems, in 3rd Int. Workshop on Multiple Classifier Systems (MCS 2002), Cagliari, Italy, 2002, vol. 2364, pp. 325-335.
F. Roli, Raudys, S., and Marcialis, G. L., An experimental comparison of fixed and trained fusion rules for crisp classifiers outputs, in 3rd International Workshop on Multiple Classifiers Systems (MCS02), Cagliari (Italy), 2002, vol. 2364, pp. 232-241.
F
F. Roli, Fumera, G., and Kittler, J., Fixed and Trained Combiners for Fusion of Unbalanced Pattern Classifiers, in 5th Int. Conference on Information Fusion (IF 2002), Annapolis, Mariland, USA, 2002, pp. 278-284.
G. L. Marcialis, Roli, F., and Serrau, A., Fusion of Statistical and Structural Fingerprint Classifiers, in 4th Internation Audio- and Video-Based Person Authentication, Guildford, 2003, vol. 2688, pp. 310-317.
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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.

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