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Karsten Luebke

Karsten Lübke

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affiliation: FOM University of Applied Sciences, Dortmund, Germany

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Journal Articles

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2022
[j6]
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  - journals/astawsa/CummiskeyL22
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Kevin Cummiskey, Karsten Lübke:
Causality in statistics and data science education. AStA Wirtschafts und Sozialstatistisches Arch. 16(3): 277-286 (2022)
[j5]
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  - journals/ki/SzepannekL22
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Gero Szepannek, Karsten Lübke:
Explaining Artificial Intelligence with Care. Künstliche Intell. 36(2): 125-134 (2022)
2021
[j4]
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  - journals/frai/SzepannekL21
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Gero Szepannek, Karsten Luebke:
Facing the Challenges of Developing Fair Risk Scoring Models. Frontiers Artif. Intell. 4: 681915 (2021)
2011
[j3]
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  - journals/adac/LuebkeW11
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Karsten Luebke, Claus Weihs:
Linear dimension reduction in classification: adaptive procedure for optimum results. Adv. Data Anal. Classif. 5(3): 201-213 (2011)
2005
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Karsten Luebke, Claus Weihs:
Improving feature extraction by replacing the Fisher criterion by an upper error bound. Pattern Recognit. 38(11): 2220-2223 (2005)
2004
[j1]
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Karsten Luebke, Claus Weihs:
Generation of prediction optimal projection on latent factors by a stochastic search algorithm. Comput. Stat. Data Anal. 47(2): 297-310 (2004)

Conference and Workshop Papers

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2022
[c7]
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Gero Szepannek, Laurens Martin Tetzlaff, Alexander Frahm, Karsten Lübke:
Teaching Machine Learning with mlr3 using Shiny. Teaching ML 2022: 42-45
2014
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Karsten Luebke, Joachim Rojahn:
Firm-Specific Determinants on Dividend Changes: Insights from Data Mining. ECDA 2014: 335-344
2006
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  - conf/gfkl/CzogielLZW06
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Irina Czogiel, Karsten Luebke, Marc Zentgraf, Claus Weihs:
Localized Linear Discriminant Analysis. GfKl 2006: 133-140
2005
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  - conf/mldm/SzepannekLW05
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Gero Szepannek, Karsten Luebke, Claus Weihs:
Understanding Patterns with Different Subspace Classification. MLDM 2005: 110-119
2004
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  - conf/gfkl/RaabeLW04
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Nils Raabe, Karsten Luebke, Claus Weihs:
KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results. GfKl 2004: 200-207
[c2]
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Gero Szepannek, Karsten Luebke:
Different Subspace Classification. GfKl 2004: 224-231
2003
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Karsten Luebke, Claus Weihs:
Testing a Simulated Annealing Algorithm in a Classification Problem. SAGA 2003: 61-70

Parts in Books or Collections

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2006
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  - series/class/WeihsSLLR06
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Claus Weihs, Gero Szepannek, Uwe Ligges, Karsten Luebke, Nils Raabe:
Local Models in Register Classification by Timbre. Data Science and Classification 2006: 315-322
2005
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Claus Weihs, Uwe Ligges, Karsten Luebke, Nils Raabe:
klaR Analyzing German Business Cycles. Data Analysis and Decision Support 2005: 335-343

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