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Joint classification and prediction of random curves using heavy-tailed process functional regression.

, , , and . Pattern Recognit., (April 2023)

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Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions., , , and . Comput. Stat., 33 (1): 319-338 (2018)A spatially constrained skew Student's-t mixture model for brain MR image segmentation and bias field correction., , , , and . Pattern Recognit., (2022)A Robust Spatial Information-Theoretic GMM Algorithm for Bias Field Estimation and Brain MRI Segmentation., , , , , and . IEEE Access, (2020)Joint classification and prediction of random curves using heavy-tailed process functional regression., , , and . Pattern Recognit., (April 2023)Estimation and prediction of a generalized mixed-effects model with t-process for longitudinal correlated binary data., , , and . Comput. Stat., 36 (2): 1461-1479 (2021)A spatially constrained asymmetric Gaussian mixture model for image segmentation., , , , , and . Inf. Sci., (2021)Adaptive Hardness Indicator Softmax for Deep Face Recognition., , , , and . Int. J. Pattern Recognit. Artif. Intell., 36 (4): 2256009:1-2256009:25 (2022)Robust Task Learning Based on Nonlinear Regression With Mixtures of Student-t Distributions., , , and . IEEE Access, (2020)A Modified U-Net for Brain MR Image Segmentation., , , , and . ICCCS (6), volume 11068 of Lecture Notes in Computer Science, page 233-242. Springer, (2018)