Publications

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Journal Article
R. Soleymani, Granger, E., e Fumera, G., «Progressive Boosting for Class Imbalance and Its Application to Face Re-Identification», Expert Systems With Applications, vol 101, pag 21, 2018. (1.11 MB)
R. Soleymani, Granger, E., e Fumera, G., «F-Measure Curves: A Tool to Visualize Classifier Performance Under Imbalance», Pattern Recognition, vol 100, pag 107146, 2020. (3.15 MB)
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., e Roli, F., «Adaptive Ensembles for Face Recognition in Changing Video Surveillance Environments», Information Sciences, vol 206, 2014. (3.17 MB)
M. A. A. Dewan, Granger, E., Marcialis, G. L., Sabourin, R., e Roli, F., «Adaptive Appearance Model Tracking for Still-to-Video Face Recognition», Pattern Recognition, vol 49, n° 1, 2016. (6.51 MB)
Conference Paper
G. L. Marcialis, Didaci, L., Pisano, A., Granger, E., e Roli, F., «Why template self-update should work in biometric authentication systems?», in Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on, Montreal, QC, 2012.
M. A. A. Dewan, Granger, E., Sabourin, R., Marcialis, G. L., e Roli, F., «Video Face Recognition From A Single Still Image Using an Adaptive Appearance Model Tracker», in IEEE Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM 2015), 2015, pagg 192-202. (533.82 KB)
R. Soleymani, Granger, E., e Fumera, G., «Loss Factors for Learning Boosting Ensembles from Imbalanced Data», in 23rd International Conference on Pattern Recognition (ICPR 2016), Cancún, Mexico, 2016. (435.44 KB)
R. Soleymani, Granger, E., e Fumera, G., «F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data», in 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2018), Siena, 2018. (413.21 KB)
C. Pagano, Granger, E., Sabourin, R., Rattani, A., Marcialis, G. L., e 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., e 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, pagg 105-116. (1.89 MB)
A. Rattani, Marcialis, G. L., Granger, E., e Roli, F., «A Dual-staged Classification-Selection Approach for Automated Update of Biometric Templates», in International Conference on Pattern Recognition (ICPR), Tsukuba Science City, JAPAN, 2012.
M. A. A. Dewan, Granger, E., Sabourin, R., Roli, F., e Marcialis, G. L., «A comparison of adaptive appearance methods for tracking faces in video surveillance», in 5th International Conference on Imaging for Crime Detection and Prevention (ICDP-13), 2013.
R. Soleymani, Granger, E., e Fumera, G., «Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification», in 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016), Rome, Italy, 2016, vol 1, pagg 97-108. (556.82 KB)
C. Pagano, Granger, E., Sabourin, R., Marcialis, G. L., e 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)