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Feature selection for multimodal emotion recognition in the arousal-valence space.

, , and . EMBC, page 4330-4333. IEEE, (2013)

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A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging., , and . CoRR, (2016)A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images., , and . EMBC, page 4133-4136. IEEE, (2016)Discriminative Training for Convolved Multiple-Output Gaussian Processes., , , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 595-602. Springer, (2015)Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes., , and . EMBC, page 3089-3092. IEEE, (2015)Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields., , , , and . ISVC, volume 11241 of Lecture Notes in Computer Science, page 371-381. Springer, (2018)HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves., , , , and . IWINAC (1), volume 11486 of Lecture Notes in Computer Science, page 130-137. Springer, (2019)Bayesian Optimization for Fitting 3D Morphable Models of Brain Structures., , and . CIARP, volume 10125 of Lecture Notes in Computer Science, page 291-299. (2016)Definition and Composition of Motor Primitives Using Latent Force Models and Hidden Markov Models., , and . CIARP, volume 10125 of Lecture Notes in Computer Science, page 249-256. (2016)Latent force models for describing transcriptional regulation processes in the embryo development problem for the Drosophila melanogaster., , and . EMBC, page 338-341. IEEE, (2014)Gaussian process dynamical models for multimodal affect recognition., , and . EMBC, page 850-853. IEEE, (2016)