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LOGIC: Probabilistic Machine Learning for Time Series Classification., , and . ICDM, page 1000-1005. IEEE, (2021)Automated Kernel Search for Gaussian Processes on Data Streams., , and . IEEE BigData, page 3584-3588. IEEE, (2021)Tracing Patterns in Electrophysiological Time Series Data., , , , , and . DSAA, page 1-10. IEEE, (2022)Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification., , , and . ICDE Workshops, page 70-73. IEEE, (2022)Gaussian Process Component Mining with the Apriori Algorithm., and . DEXA (2), volume 14147 of Lecture Notes in Computer Science, page 423-429. Springer, (2023)Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms., , and . SN Comput. Sci., 3 (4): 300 (2022)Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling., , , and . KI, volume 13404 of Lecture Notes in Computer Science, page 96-114. Springer, (2022)Frequent Component Analysis for Large Time Series Databases with Gaussian Processes., and . EDBT, page 617-622. OpenProceedings.org, (2024)A Comparative Performance Analysis of Fast K-Means Clustering Algorithms., , , , , and . iiWAS, volume 13635 of Lecture Notes in Computer Science, page 119-125. Springer, (2022)On the Laplace Approximation as Model Selection Criterion for Gaussian Processes., , , , and . CoRR, (2024)