Gero Szepannek

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 12

Top Topics

Data Mining Technology

Classification Algorithm

Top Venues

Trans. Case Based Reason.

Publications

Rabea Aschenbruck, Gero Szepannek, Adalbert F. X. Wilhelm
Imputation Strategies for Clustering Mixed-Type Data with Missing Values. J. Classif. 40 (1) (2023)
Max Schröder, Sascha Genehr, Rüdiger Köhling, Stefan Schmidt, Ralf Schneider, Sascha Spors, Gero Szepannek, Dagmar Waltemath, Frank Krüger
A Survey on the Current Status of Research Data Management in Mecklenburg-Vorpommern Preliminary Results for a Questionnaire Study Among Researchers. CoRDI (2023)
Gero Szepannek, Laurens Martin Tetzlaff, Alexander Frahm, Karsten Lübke
Teaching Machine Learning with mlr3 using Shiny. Teaching ML (2022)
Gero Szepannek, Karsten Lübke
Explaining Artificial Intelligence with Care. Künstliche Intell. 36 (2) (2022)
Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek
Transparency, auditability, and explainability of machine learning models in credit scoring. J. Oper. Res. Soc. 73 (1) (2022)
Laurens Martin Tetzlaff, Gero Szepannek
mlr3shiny - State-of-the-art machine learning made easy. SoftwareX 20 (2022)
Gero Szepannek, Karsten Luebke
Facing the Challenges of Developing Fair Risk Scoring Models. Frontiers Artif. Intell. 4 (2021)
Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemyslaw Biecek
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring. CoRR (2020)
Gero Szepannek
An Overview on the Landscape of R Packages for Credit Scoring. CoRR (2020)
Gero Szepannek
How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models. CoRR (2019)
Gero Szepannek
clustMixType: User-Friendly Clustering of Mixed-Type Data in R. R J. 10 (2) (2018)
Gero Szepannek
Editorial. Trans. Case Based Reason. 5 (1) (2016)
Bernd Bischl, Tobias Kühn, Gero Szepannek
On Class Imbalance Correction for Classification Algorithms in Credit Scoring. OR (2014)
Claus Weihs, Gero Szepannek
Distances in Classification. Trans. Case Based Reason. 2 (1) (2009)
Gero Szepannek, Tamás Harczos, Frank Klefenz, Claus Weihs
Extending features for automatic speech recognition by means of auditory modelling. EUSIPCO (2009)
Gero Szepannek, Bernd Bischl, Claus Weihs
On the combination of locally optimal pairwise classifiers. Eng. Appl. Artif. Intell. 22 (1) (2009)
Claus Weihs, Gero Szepannek
Distances in Classification. ICDM (2009)
Julia Schiffner, Gero Szepannek, Thierry Monthé, Claus Weihs
Localized Logistic Regression for Categorical Influential Factors. GfKl (2008)
Gero Szepannek, Julia Schiffner, Julie Wilson, Claus Weihs
Local Modelling in Classification. ICDM (2008)
Gero Szepannek, Bernd Bischl, Claus Weihs
On the Combination of Locally Optimal Pairwise Classifiers. MLDM (2007)
Gero Szepannek, Claus Weihs
Local Modelling in Classification on Different Feature Subspaces. ICDM (2006)
Gero Szepannek, Tamás Harczos, Frank Klefenz, András Kátai, Patrick Schikowski, Claus Weihs
Vowel Classification by a Neurophysiologically Parameterized Auditory Model. GfKl (2006)
Gero Szepannek, Karsten Luebke, Claus Weihs
Understanding Patterns with Different Subspace Classification. MLDM (2005)
Gero Szepannek, Frank Klefenz, Claus Weihs
Schallanalyse Neuronale Repräsentation des Hörvorgangs als Basis. Inform. Spektrum 28 (5) (2005)
Gero Szepannek, Claus Weihs
Variable Selection for Discrimination of More Than Two Classes Where Data are Sparse. GfKl (2005)
Gero Szepannek, Karsten Luebke
Different Subspace Classification. GfKl (2004)
Christian Röver, Gero Szepannek
Application of a Genetic Algorithm to Variable Selection in Fuzzy Clustering. GfKl (2004)