Publications

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I. Pillai, Fumera, G., and Roli, F., F -Measure Optimisation in Multi-label Classifiers, in 22nd IEEE International Conference on Pattern Recognition, ICPR 2014, Stockholm, Sweden, 2014, pp. 3452 - 3456. (287.72 KB)
I. Pillai, Fumera, G., and Roli, F., Designing multi-label classifiers that maximize F measures: state of the art, Pattern Recognition, vol. 61, 2017.
I. Pillai, Fumera, G., and Roli, F., Classifier Selection Approaches for Multi-label Problems, in 10th Int. Workshop on Multiple Classifier Systems (MCS 2011), Naples, 2011. (282.8 KB)
I. Pillai, High Reliability Text Categorisation Systems., Cagliari (Italy), 2007. (1.03 MB)
I. Pillai, Satta, R., Fumera, G., and Roli, F., Exploiting Depth Information for Indoor-Outdoor Scene Classification, in 16th Int. Conf. on Image Analysis and Processing (ICIAP 2011), Ravenna, Italy, 2011. (1.23 MB)
I. Pillai, Fumera, G., and Roli, F., F-Measure Optimisation in Multi-label Classifiers, in 21st International Conference on Pattern Recognition, Tsukuba, Japan, 2012. (295.91 KB)
I. Pillai, Fumera, G., and Roli, F., A Classification Approach with a Reject Option for Multi-label Problems, in 16th Int. Conf. on Image Analysis and Processing (ICIAP 2011), Ravenna, Italy, 2011. (279.96 KB)
R. Perdisci, Corona, I., Dagon, D., and Lee, W., Detecting Malicious Flux Service Networks through Passive Analysis of Recursive DNS Traces, in Annual Computer Security Applications Conference (ACSAC), Honolulu, Hawaii, USA, 2009. (206.97 KB)
R. Perdisci, Ariu, D., and Giacinto, G., Scalable Fine-Grained Behavioral Clustering of HTTP-Based Malware, Computer Networks - Special Issue on Botnet Activity: Analysis, Detection and Shutdown, vol. 57, pp. 487-500, 2013. (797.8 KB)
R. Perdisci, Statistical Pattern Recognition Techniques for Intrusion Detection in Computer Networks. Challenges and Solutions., Cagliari (Italy), 2007.
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)
R. Perdisci, Giacinto, G., and Roli, F., Alarm clustering for intrusion detection systems in computer networks, Engineering Applications of Artificial Intelligence, vol. 19, pp. 429-438, 2006.
R. Perdisci, Ariu, D., Fogla, P., Giacinto, G., and Lee, W., McPAD: A Multiple Classifier System for Accurate Payload-based Anomaly Detection, Computer Networks, vol. 53, pp. 864-881, 2009. (882.94 KB)
P. Pellegretti, Roli, F., Serpico, S. B., and Vernazza, G., Supervised learning of descriptions for image recognition purposes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, pp. 92-98, 1994.
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.
F. Pala, Satta, R., Fumera, G., and Roli, F., Multi-modal Person Re-Identification Using RGB-D Cameras, IEEE Transactions on Circuits and Systems for Video Technology, 2015. (1.58 MB)
C. Pagano, Granger, E., Sabourin, R., Rattani, A., Marcialis, G. L., and Roli, F., Efficient Adaptive Face Recognition Systems Based on Capture Conditions, Proc. of , in IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM 2014), 2014. (574.39 KB)
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams, In: Gayar N.E., Schwenker F., Suen C.Y, , , pp, in 6th IAPR TC3 International Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR 2014), 2014, vol. Springer LNAI 8774, pp. 105-116. (1.89 MB)
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Adaptive Ensembles for Face Recognition in Changing Video Surveillance Environments, Information Sciences, vol. 206, 2014. (3.17 MB)
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., and Roli, F., Adaptive Classification for Person Re-Identification Driven by Change Detection, in 3rd Int. Conf. on Pattern Recognition Applications and Methods (ICPRAM 2014), 2014. (316.11 KB)
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N. C. Oza, Polikar, R., Kittler, J., and Roli, F., Multiple Classifier Systems, vol. 3541. Springer-Verlag, 2005.
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V. - T. Ninh, Le, T. - K., Zhou, L., Piras, L., Riegler, M., Lux, M., Tran, M. - T., Gurrin, C., and Dang-Nguyen, D. - T., LIFER 2.0: Discovering Personal Lifelog Insights using an Interactive Lifelog Retrieval System, in Working Notes of {CLEF} 2019 - Conference and Labs of the Evaluation Forum, Lugano, Switzerland, September 9-12, 2019., 2019. (1.56 MB)
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)
B. Nelson, Biggio, B., and Laskov, P., Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers, in Journal of Machine Learning Research - Proc. 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 2011, vol. 20, pp. 63-79. (481.46 KB)
B. Nelson, Biggio, B., and Laskov, P., Understanding the Risk Factors of Learning in Adversarial Environments, in 4th ACM Workshop on Artificial Intelligence and Security (AISec 2011), Chicago, IL, USA, 2011, pp. 87–92. (132.42 KB)

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