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Jan David Hüwel
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2020 – today
- 2024
- [c12]Jan David Hüwel, Christian Beecks:
Discovering Structural Regularities in Time Series via Gaussian Processes. DSAA 2024: 1-10 - [c11]Jan David Hüwel, Christian Beecks:
Frequent Component Analysis for Large Time Series Databases with Gaussian Processes. EDBT 2024: 617-622 - [c10]Jan David Hüwel
, Georg Stefan Schlake
Identifying Propagating Signals with Spatio-Temporal Clustering in Multivariate Time Series. SISAP 2024: 207-214 - [i1]Andreas Besginow, Jan David Hüwel, Thomas Pawellek, Christian Beecks, Markus Lange-Hegermann
On the Laplace Approximation as Model Selection Criterion for Gaussian Processes. CoRR abs/2403.09215 (2024) - 2023
- [c9]Jan David Hüwel
Gaussian Process Component Mining with the Apriori Algorithm. DEXA (2) 2023: 423-429 - 2022
- [j1]Fabian Berns, Jan David Hüwel, Christian Beecks:
Automated Model Inference for Gaussian Processes: An Overview of State-of-the-Art Methods and Algorithms. SN Comput. Sci. 3(4): 300 (2022) - [c8]Jan David Hüwel, Anne Gresch, Tim Berger, Martina Düfer, Christian Beecks:
Analysis of Extracellular Potential Recordings by High-Density Micro-electrode Arrays of Pancreatic Islets. DEXA (2) 2022: 270-276 - [c7]Jan David Hüwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Düfer, Christian Beecks:
Tracing Patterns in Electrophysiological Time Series Data. DSAA 2022: 1-10 - [c6]Georg Stefan Schlake
Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification. ICDE Workshops 2022: 70-73 - [c5]Christian Beecks, Fabian Berns, Jan David Hüwel, Andrea Linxen, Georg Stefan Schlake
A Comparative Performance Analysis of Fast K-Means Clustering Algorithms. iiWAS 2022: 119-125 - [c4]Jan David Hüwel
Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. KI 2022: 96-114 - 2021
- [c3]Jan David Hüwel, Fabian Berns, Christian Beecks:
Automated Kernel Search for Gaussian Processes on Data Streams. IEEE BigData 2021: 3584-3588 - [c2]Fabian Berns, Jan David Hüwel, Christian Beecks:
LOGIC: Probabilistic Machine Learning for Time Series Classification. ICDM 2021: 1000-1005 - [c1]Jan David Hüwel
On Kernel Search Based Gaussian Process Anomaly Detection. IN4PL (Revised Selected Papers) 2021: 1-23
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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