UMR CNRS 7253

Thierry Denoeux
Thierry Denoeux
Thierry Denoeux
Thierry Denoeux
Thierry Denoeux

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Book and proceeding edition
2013
Cozman, F. and Denoeux, T. and Destercke, S. and Seidenfeld, T.
Bibtex
ISIPTA'13: Proceedings of the Seventh International Symposium on Imprecise Probability: Theories and Applications
Université de Technologie de Compiègne, publisher: SIPTA, Jun, 2013
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Journal article
2017
Bordes, J.-B. and Davoine, F. and Xu, P. and Denoeux, T.
Bibtex
Evidential grammars: A compositional approach for scene understanding. Application to multimodal street data
Applied Soft Computing, vol. 61, pp. 1173-1185, Dec, 2017
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Li, C. and Ruan, S. and Denoeux, T. and Li, H. and Vera, P.
Bibtex
Spatial Evidential Clustering with Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images
IEEE Transactions on Biomedical Engineering, vol. 65, num. 1, pp. 21-30, Mar, 2017
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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
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Sriboonchitta, S. and Liu, J. and Aree, W. and Denoeux, T.
Bibtex
A double-copula stochastic frontier model with dependent error components and correction for sample selection
International Journal of Approximate Reasoning, vol. 80, pp. 174-184, 2017
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2016
Denoeux, T. and Sriboonchitta, S. and Kanjanatarakul, O.
Bibtex
Evidential clustering of large dissimilarity data
Knowledge-Based Systems, vol. 106, pp. 179-195, 2016
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Jiao, L. and Denoeux, T. and Pan, Q.
Bibtex
A Hybrid Belief Rule-Based Classification System Based on Uncertain Training Data and Expert Knowledge
IEEE transactions on systems, man, and cybernetics. Systems, vol. pp, num. 99, pp. 1-13, 2016
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Kanj, S. and Abdallah, F. and Denoeux, T. and Tout, K.
Bibtex
Editing training data for multi-label classification with the k-nearest neighbor rule
Pattern Analysis and Applications, vol. 19, num. 1, pp. 145-161, 2016
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Kanjanatarakul, O. and Denoeux, T. and Sriboonchitta, S.
Bibtex
Prediction of future observations using belief functions: A likelihood-based approach
International Journal of Approximate Reasoning, vol. 72, pp. 71-94, 2016
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Lian, C. and Ruan, S. and Denoeux, T.
Bibtex
Dissimilarity Metric Learning in the Belief Function Framework
IEEE Transactions on Fuzzy Systems, vol. 24, num. 6, pp. 1555-1564, 2016
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