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High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey., , , , and . CoRR, (2020)Graph kernels based on linear patterns: Theoretical and experimental comparisons., , and . Expert Syst. Appl., (2022)A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation., , , , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 158-167. PMLR, (2021)An Evidential Framework for Localization of Sensors in Indoor Environments., , , and . Sensors, 20 (1): 318 (2020)Statistical hypothesis testing with time-frequency surrogates to check signal stationarity., , , , , and . ICASSP, page 3666-3669. IEEE, (2010)Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals., , , , , and . ICT, page 1-5. IEEE, (2012)Modeling electrocardiogram using Yule-Walker equations and kernel machines., , , , and . ICT, page 1-5. IEEE, (2012)A simple scheme for unmixing hyperspectral data based on the geometry of the N-dimensional simplex., and . IGARSS, page 2271-2274. IEEE, (2010)Kernels for time series of exponential decay/growth processes., , and . MLSP, page 1-6. IEEE, (2012)Prediction of time series using Yule-Walker equations with kernels., , , , and . ICASSP, page 2185-2188. IEEE, (2012)