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A New Parameterless Credal Method to Track-to-Track Assignment Problem.

, , and . Belief Functions, volume 8764 of Lecture Notes in Computer Science, page 403-411. Springer, (2014)

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Belief assignment on compound hypotheses within the framework of the Transferable Belief Model., , , and . FUSION, page 498-505. IEEE, (2009)General Correction Mechanisms for Weakening or Reinforcing Belief Functions., , and . FUSION, page 1-7. IEEE, (2006)Proposition and learning of some belief function contextual correction mechanisms., , , and . Int. J. Approx. Reasoning, (2016)Online temporal reasoning for event and data streams processing., , and . FUZZ-IEEE, page 2257-2264. IEEE, (2016)Evidential joint calibration of binary SVM classifiers., , , , and . Soft Comput., 23 (13): 4655-4671 (2019)A high-level application using belief functions for exchanging and managing uncertain events on the road in vehicular ad hoc networks., , , and . Annales des Télécommunications, 69 (3-4): 185-199 (2014)Détection d'événements rares dans les simulations multi-agents (démonstration)., , , and . JFSMA, page 227-228. Cépaduès, (2018)Towards an Alarm for Opposition Conflict in a Conjunctive Combination of Belief Functions., , and . ECSQARU, volume 6717 of Lecture Notes in Computer Science, page 314-325. Springer, (2011)Contextual Discounting of Belief Functions., , and . ECSQARU, volume 3571 of Lecture Notes in Computer Science, page 552-562. Springer, (2005)Learning Contextual Discounting and Contextual Reinforcement from Labelled Data., , , and . ECSQARU, volume 9161 of Lecture Notes in Computer Science, page 472-481. Springer, (2015)