Fabian Scheipl

According to our database, Fabian Scheipl authored at least 16 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A geometric framework for outlier detection in high-dimensional data.

Moritz Herrmann, Florian Pfisterer, Fabian Scheipl

WIREs Data. Mining. Knowl. Discov., 2023

DCSI - An improved measure of cluster separability based on separation and connectedness.

Jana Gauss, Fabian Scheipl, Moritz Herrmann

CoRR, 2023

2022

Enhancing cluster analysis via topological manifold learning.

Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger

CoRR, 2022

Developing Open Source Educational Resources for Machine Learning and Data Science.

Ludwig Bothmann, Sven Strickroth, Giuseppe Casalicchio, David Rügamer, Marius Lindauer, Fabian Scheipl, Bernd Bischl

Proceedings of the Third Teaching Machine Learning and Artificial Intelligence Workshop, 2022

2021

A geometric perspective on functional outlier detection.

Moritz Herrmann, Fabian Scheipl

CoRR, 2021

2020

Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction.

Moritz Herrmann, Fabian Scheipl

CoRR, 2020

A General Machine Learning Framework for Survival Analysis.

Andreas Bender, David Rügamer, Fabian Scheipl, Bernd Bischl

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Benchmarking time series classification - Functional data vs machine learning approaches.

Florian Pfisterer, Laura Beggel, Xudong Sun, Fabian Scheipl, Bernd Bischl

CoRR, 2019

2018

Fast symmetric additive covariance smoothing.

Jona Cederbaum, Fabian Scheipl, Sonja Greven

Comput. Stat. Data Anal., 2018

2015

Penalized function-on-function regression.

Andrada E. Ivanescu, Ana-Maria Staicu, Fabian Scheipl, Sonja Greven

Comput. Stat., 2015

Penalized scalar-on-functions regression with interaction term.

Karen Fuchs, Fabian Scheipl, Sonja Greven

Comput. Stat. Data Anal., 2015

2014

Estimator selection and combination in scalar-on-function regression.

Jeff Goldsmith, Fabian Scheipl

Comput. Stat. Data Anal., 2014

2013

Straightforward intermediate rank tensor product smoothing in mixed models.

Simon N. Wood, Fabian Scheipl, Julian J. Faraway

Stat. Comput., 2013

2011

Bayesian regularization and model choice in structured additive regression.

Fabian Scheipl

PhD thesis, 2011

2009

Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior.

Fabian Scheipl, Thomas Kneib

Comput. Stat. Data Anal., 2009

2008

Size and power of tests for a zero random effect variance or polynomial regression in additive and linear mixed models.

Fabian Scheipl, Sonja Greven, Helmut Küchenhoff

Comput. Stat. Data Anal., 2008