Jennifer Vandoni

PhD thesis, 2019

Augmenting Deep Learning Performance in an Evidential Multiple Classifier System.

[BibT_eX]

[DOI]

Sensors, 2019

Evidential query-by-committee active learning for pedestrian detection in high-density crowds.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Efficient evaluation of the Number of False Alarm criterion.

[BibT_eX]

[DOI]

EURASIP J. Image Video Process., 2019

Evaluating Crowd Density Estimators Via Their Uncertainty Bounds.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Belief Function Definition for Ensemble Methods - Application to Pedestrian Detection in Dense Crowds.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

Active learning for high-density crowd count regression.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

An evidential framework for pedestrian detection in high-density crowds.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016

Crack detection based on a Marked Point Process model.

[BibT_eX]

[DOI]