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A dynamic approach for clustering data., , , и . Signal Process., 44 (2): 181-196 (1995)A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes., , , и . IEEE Trans. Geosci. Remote. Sens., 59 (5): 3875-3890 (2021)Automated Recovery of Compressedly Observed Sparse Signals From Smooth Background., , и . IEEE Signal Process. Lett., 21 (8): 1012-1016 (2014)Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset., , , , , , , , и . Artif. Intell. Medicine, (ноября 2023)Bayesian combination of sparse and non-sparse priors in image super resolution., , , , и . Digit. Signal Process., 23 (2): 530-541 (2013)Going Deeper through the Gleason Scoring Scale: An Automatic end-to-end System for Histology Prostate Grading and Cribriform Pattern Detection., , , , и . CoRR, (2021)Deep Gaussian Processes for geophysical parameter retrieval., , , и . CoRR, (2020)Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection., , , и . CoRR, (2023)Robust Recovery of Temporally Smooth Signals From Under-Determined Multiple Measurements., , и . IEEE Trans. Signal Process., 63 (7): 1779-1791 (2015)Image restoration in astronomy: a Bayesian perspective., , , и . IEEE Signal Process. Mag., 18 (2): 11-29 (2001)