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Christian Beecks

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Jan David Hüwel

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Publications

2024
[c100]
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  - conf/edbt/HiuwelB24
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  - https://dblp.org/rec/conf/edbt/HiuwelB24
Jan David Hüwel, Christian Beecks:
Frequent Component Analysis for Large Time Series Databases with Gaussian Processes. EDBT 2024: 617-622
[i2]
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  - journals/corr/abs-2403-09215
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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
[c95]
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  - conf/dexa/HuwelB23
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Jan David Hüwel, Christian Beecks:
Gaussian Process Component Mining with the Apriori Algorithm. DEXA (2) 2023: 423-429
2022
[j8]
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  - journals/sncs/BernsHB22
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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)
[c92]
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  - conf/dexa/HuwelGBDB22
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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
[c91]
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  - conf/dsaa/HuwelGBKDB22
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Jan David Hüwel, Anne Gresch, Fabian Berns, Ruben Koch, Martina Düfer, Christian Beecks:
Tracing Patterns in Electrophysiological Time Series Data. DSAA 2022: 1-10
[c90]
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  dblp key:
  - conf/icde/SchlakeHBB22
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Georg Stefan Schlake, Jan David Hüwel, Fabian Berns, Christian Beecks:
Evaluating the Lottery Ticket Hypothesis to Sparsify Neural Networks for Time Series Classification. ICDE Workshops 2022: 70-73
[c87]
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  - conf/iiwas/BeecksBHLSD22
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Christian Beecks, Fabian Berns, Jan David Hüwel, Andrea Linxen, Georg Stefan Schlake, Tim Düsterhus:
A Comparative Performance Analysis of Fast K-Means Clustering Algorithms. iiWAS 2022: 119-125
[c86]
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  - conf/ki/HuwelHGB22
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Jan David Hüwel, Florian Haselbeck, Dominik G. Grimm, Christian Beecks:
Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling. KI 2022: 96-114
2021
[c85]
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  - conf/bigdataconf/HuwelBB21
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Jan David Hüwel, Fabian Berns, Christian Beecks:
Automated Kernel Search for Gaussian Processes on Data Streams. IEEE BigData 2021: 3584-3588
[c84]
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  - conf/icdm/BernsHB21
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Fabian Berns, Jan David Hüwel, Christian Beecks:
LOGIC: Probabilistic Machine Learning for Time Series Classification. ICDM 2021: 1000-1005
[c83]
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  - conf/in4pl/HuwelBBLB21
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Jan David Hüwel, Andreas Besginow, Fabian Berns, Markus Lange-Hegermann, Christian Beecks:
On Kernel Search Based Gaussian Process Anomaly Detection. IN4PL (Revised Selected Papers) 2021: 1-23

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