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pro vyhledávání: '"Bock, Christian"'
Autor:
Paul, Nina, Tillmann, Anette, Lannig, Gisela, Pogoda, Bernadette, Lucassen, Magnus, Mackay-Roberts, Nicholas, Gerdts, Gunnar, Bock, Christian
Publikováno v:
In Ecotoxicology and Environmental Safety 1 October 2024 284
Autor:
Bock, Christian, Aubet, François-Xavier, Gasthaus, Jan, Kan, Andrey, Chen, Ming, Callot, Laurent
We propose r-ssGPFA, an unsupervised online anomaly detection model for uni- and multivariate time series building on the efficient state space formulation of Gaussian processes. For high-dimensional time series, we propose an extension of Gaussian p
Externí odkaz:
http://arxiv.org/abs/2201.06763
Autor:
Rieck, Bastian, Yates, Tristan, Bock, Christian, Borgwardt, Karsten, Wolf, Guy, Turk-Browne, Nicholas, Krishnaswamy, Smita
Functional magnetic resonance imaging (fMRI) is a crucial technology for gaining insights into cognitive processes in humans. Data amassed from fMRI measurements result in volumetric data sets that vary over time. However, analysing such data present
Externí odkaz:
http://arxiv.org/abs/2006.07882
The signature transform is a 'universal nonlinearity' on the space of continuous vector-valued paths, and has received attention for use in machine learning on time series. However, real-world temporal data is typically observed at discrete points in
Externí odkaz:
http://arxiv.org/abs/2005.12359
Akademický článek
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Despite the eminent successes of deep neural networks, many architectures are often hard to transfer to irregularly-sampled and asynchronous time series that commonly occur in real-world datasets, especially in healthcare applications. This paper pro
Externí odkaz:
http://arxiv.org/abs/1909.12064