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Representing uncertainty on set-valued variables using belief functions., , and . Artif. Intell., 174 (7-8): 479-499 (2010)BB-UNet: U-Net With Bounding Box Prior., , , and . IEEE J. Sel. Top. Signal Process., 14 (6): 1189-1198 (2020)Learning General Gaussian Kernel Hyperparameters for SVR., , , and . GSI, volume 8085 of Lecture Notes in Computer Science, page 677-684. Springer, (2013)Evidential Multi-Label Classification Approach to Learning from Data with Imprecise Labels., , and . IPMU, volume 6178 of Lecture Notes in Computer Science, page 119-128. Springer, (2010)Mixture of uniform probability density functions for non linear state estimation using interval analysis., , and . FUSION, page 1-8. IEEE, (2010)A sequential approach for multi-class discriminant analysis with kernels., , and . ICASSP (5), page 453-456. IEEE, (2004)Box particle filtering for nonlinear state estimation using interval analysis., , and . Autom., 44 (3): 807-815 (2008)State Estimation Using Interval Analysis and Belief-Function Theory: Application to Dynamic Vehicle Localization., , and . IEEE Trans. Syst. Man Cybern. Part B, 40 (5): 1205-1218 (2010)An improved training algorithm for nonlinear kernel discriminants., , and . IEEE Trans. Signal Process., 52 (10): 2798-2806 (2004)An Introduction to Box Particle Filtering Lecture Notes., , , and . IEEE Signal Process. Mag., 30 (4): 166-171 (2013)