CECM: Constrained evidential C-means algorithm von Antoine, V., Quost, B., Masson, M.-H., Denœux, T.

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Learning from partially supervised data using mixture models and belief functions von Côme, E., Oukhellou, L., Denœux, T., Aknin, P.

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A neural network classifier based on Dempster-Shafer theory von Denoeux, T.

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Combining statistical and expert evidence using belief functions: Application to centennial sea level estimation taking into account climate change von Ben Abdallah, N., Mouhous-Voyneau, N., Denœux, T.

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An evidence-based approach to damage location on an aircraft structure von Worden, K., Manson, G., Denœux, T.

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EVCLUS: evidential clustering of proximity data von Denoeux, T., Masson, M.-H.

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Belief Functions: Theory and Applications : 6th International Conference, BELIEF 2021, Shanghai, China, October 15-19, 2021, Proceedings von Denœux, Thierry, Lefevre, Eric, Liu, Zhunga, Pichon, Frederic

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CEVCLUS: evidential clustering with instance-level constraints for relational data von Antoine, V., Quost, B., Masson, M.-H., Denoeux, T.

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Combining statistical and expert evidence using belief functions: Application to centennial sea level estimation taking into account climate change: Theory and Applications of Beli... von BEN ABDALLAH, N, MOUHOUS-VOYNEAU, N, DENŒUX, T

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CECM: Constrained evidential -means algorithm von Antoine, V., Quost, B., Masson, M.-H., Denœux, T.

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Risk assessment based on weak information using belief functions: a case study in water treatment von Demotier, S., Schon, W., Denoeux, T.

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Modeling vague beliefs using fuzzy-valued belief structures von Denœux, Thierry

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Principal component analysis of fuzzy data using autoassociative neural networks von Denoeux, T., Masson, M.-H.

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Multidimensional scaling of fuzzy dissimilarity data von Masson, M., Denœux, T.

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Belief Functions: Theory and Applications: 6th International Conference, BELIEF 2021, Shanghai, China, October 15–19, 2021, Proceedings

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Multidimensional scaling of interval-valued dissimilarity data von Denœux, T., Masson, M.

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ECM: An evidential version of the fuzzy c-means algorithm von Masson, Marie-Hélène, Denœux, T.

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Resample and combine: an approach to improving uncertainty representation in evidential pattern classification von François, J., Grandvalet, Y., Denœux, T., Roger, J.-M.

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Inferring a possibility distribution from empirical data von Masson, Marie-Hélène, Denœux, Thierry

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Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches von Denoeux, T., Smets, P.

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