Publications

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A
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)
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)
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)
C
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)
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.
D
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.
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)
E
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)
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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)
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)
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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)
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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)
V
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)
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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.