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Truthfulness in Contextual Information Correction.

F. Pichon, D. Mercier, F. Delmotte, and E. Lefevre. Belief Functions, volume 8764 of Lecture Notes in Computer Science, page 11-20. Springer, (2014)

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Dr. Marie Davidova University of Stuttgart

David Nigl University of Stuttgart

Investigations On The Load-bearing Behaviour Of Continuous Functionally Graded Concrete BeamsC. Haufe, D. Nigl, and L. Blandini. Proceedings of the International fib Symposium on the Conceptual Design of Concrete Structures, page 15-24. Oslo, Novus Press, (2023)

David Inkermann

David Briesenick University of Stuttgart

David Gudnason University of Stuttgart

Other publications of authors with the same name

Belief assignment on compound hypotheses within the framework of the Transferable Belief Model.A. Veremme, D. Dupont, E. Lefèvre, and D. Mercier. FUSION, page 498-505. IEEE, (2009)General Correction Mechanisms for Weakening or Reinforcing Belief Functions.D. Mercier, T. Denoeux, and M. Masson. FUSION, page 1-7. IEEE, (2006)Evidential Joint Calibration of Binary SVM Classifiers Using Logistic Regression.P. Minary, F. Pichon, D. Mercier, E. Lefevre, and B. Droit. SUM, volume 10564 of Lecture Notes in Computer Science, page 405-411. Springer, (2017)Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions.E. Lefevre, Z. Elouedi, and D. Mercier. ECSQARU, volume 6717 of Lecture Notes in Computer Science, page 314-325. Springer, (2011)Contextual Discounting of Belief Functions.D. Mercier, B. Quost, and T. Denoeux. ECSQARU, volume 3571 of Lecture Notes in Computer Science, page 552-562. Springer, (2005)Learning Contextual Discounting and Contextual Reinforcement from Labelled Data.D. Mercier, F. Pichon, E. Lefevre, and F. Delmotte. ECSQARU, volume 9161 of Lecture Notes in Computer Science, page 472-481. Springer, (2015)A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks.M. Farah, D. Mercier, E. Lefèvre, and F. Delmotte. Annales des Télécommunications, 69 (3-4): 185-199 (2014)Détection d'événements rares dans les simulations multi-agents (démonstration).Y. Huang, G. Morvan, F. Pichon, and D. Mercier. JFSMA, page 227-228. Cépaduès, (2018)Online temporal reasoning for event and data streams processing.J. Poli, L. Boudet, and D. Mercier. FUZZ-IEEE, page 2257-2264. IEEE, (2016)Lipreading with Spiking Neurons - One Pass Learning.R. Séguier, N. Cladel, C. Foucher, and D. Mercier. WSCG, page 397-404. (2002)