Karsten Luebke

Orcid: 0009-0004-5129-4886

Affiliations:
  • FOM University of Applied Sciences, Dortmund, Germany


According to our database1, Karsten Luebke authored at least 15 papers between 2003 and 2022.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Explaining Artificial Intelligence with Care.
Künstliche Intell., 2022

Causality in statistics and data science education.
AStA Wirtschafts und Sozialstatistisches Arch., 2022

Teaching Machine Learning with mlr3 using Shiny.
Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, 2022

2021
Facing the Challenges of Developing Fair Risk Scoring Models.
Frontiers Artif. Intell., 2021

2014
Firm-Specific Determinants on Dividend Changes: Insights from Data Mining.
Proceedings of the Analysis of Large and Complex Data, 2014

2011
Linear dimension reduction in classification: adaptive procedure for optimum results.
Adv. Data Anal. Classif., 2011

2006
Local Models in Register Classification by Timbre.
Proceedings of the Data Science and Classification, 2006

Localized Linear Discriminant Analysis.
Proceedings of the Advances in Data Analysis, 2006

2005
klaR Analyzing German Business Cycles.
Proceedings of the Data Analysis and Decision Support, 2005

Improving feature extraction by replacing the Fisher criterion by an upper error bound.
Pattern Recognit., 2005

Understanding Patterns with Different Subspace Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

2004
Generation of prediction optimal projection on latent factors by a stochastic search algorithm.
Comput. Stat. Data Anal., 2004

Different Subspace Classification.
Proceedings of the Classification, 2004

KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results.
Proceedings of the Classification, 2004

2003
Testing a Simulated Annealing Algorithm in a Classification Problem.
Proceedings of the Stochastic Algorithms: Foundations and Applications, 2003


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