UMR CNRS 7253

Benjamin Quost
Benjamin Quost
Benjamin Quost
Benjamin Quost
Benjamin Quost

Outils du site


fr:publis_heudiabib

Édition de livre et d'actes
2014
Destercke, S. and Masson, M.-H. and Quost, B.
Bibtex
International Journal of Approximate Reasoning, special issue on the theory and applications of belief functions – Belief 2012
vol. 55, num. 1, Part 3, Jan, 2014
document
Article de journal
2017
Quost, B. and Denoeux, T. and Li, S.
Bibtex
Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression
Advances in Data Analysis and Classification, vol. 11, num. 4, pp. 659-690, Nov, 2017
document
Zhou, D. and Frémont, V. and Quost, B. and Dai, Y. and Li, H.
Bibtex
Moving object detection and segmentation in urban environments from a moving platform
Image and Vision Computing, vol. -, pp. -, 2017
document
2016
Quost, B. and Denoeux, T.
Bibtex
Clustering and classification of fuzzy data using the fuzzy EM algorithm
Fuzzy Sets and Systems, vol. 286, pp. 134-156, 2016
document
Wang, X. and Quost, B. and Chazot, J.-D. and Antoni, J.
Bibtex
Estimation of multiple sound sources with data and model uncertainties using the EM and evidential EM algorithms
Mechanical Systems and Signal Processing, vol. 66-67, pp. 159-177, Jan, 2016
document
Wang, X. and Quost, B. and Chazot, J.-D. and Antoni, J.
Bibtex
Iterative beamforming for identification of multiple broadband sound sources
Journal of Sound and Vibration, vol. 365, pp. 260-275, Mar, 2016
document
2014
Antoine, V. and Quost, B. and Masson, M.-H. and Denoeux, T.
Bibtex
CEVCLUS: evidential clustering with instance-level constraints for relational data
Soft Computing, vol. 18, num. 7, pp. 1321-1335, oct, 2014
document
2012
Antoine, V. and Quost, B. and Masson, M.-H. and Denoeux, T.
Bibtex
CECM: Constrained Evidential C-Means algorithm
Computational Statistics & Data Analysis, vol. 56, num. 4, pp. 894-914, 2012
document
2011
Quost, B. and Masson, M.-H. and Denoeux, T.
Bibtex
Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules
International Journal of Approximate Reasoning, vol. 52, num. 3, pp. 353-374, 2011
document
2008
Mercier, D. and Quost, B. and Denoeux, T.
Bibtex
Refined modeling of sensor reliability in the belief function framework using contextual discounting
Information Fusion, vol. 9, pp. 246-258, 2008


Outils de la page

Outils pour utilisateurs