Fabian Scheipl | DeepAI

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Featured Co-authors

Bernd Bischl
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∙ 07/01/2022

Enhancing cluster analysis via topological manifold learning

We discuss topological aspects of cluster analysis and show that inferri...

0 Moritz Herrmann, et al. ∙

∙ 07/01/2022

A geometric framework for outlier detection in high-dimensional data

Outlier or anomaly detection is an important task in data analysis. We d...

0 Moritz Herrmann, et al. ∙

∙ 09/14/2021

A geometric perspective on functional outlier detection

We consider functional outlier detection from a geometric perspective, s...

0 Moritz Herrmann, et al. ∙

∙ 08/12/2021

Registration for Incomplete Non-Gaussian Functional Data

Accounting for phase variability is a critical challenge in functional d...

0 Alexander Bauer, et al. ∙

∙ 07/28/2021

Developing Open Source Educational Resources for Machine Learning and Data Science

Education should not be a privilege but a common good. It should be open...

7 Ludwig Bothmann, et al. ∙

∙ 03/11/2021

Multivariate Functional Additive Mixed Models

Multivariate functional data can be intrinsically multivariate like move...

0 Alexander Volkmann, et al. ∙

∙ 02/03/2021

Statistical Inference for Ordinal Predictors in Generalized Linear and Additive Models with Application to Bronchopulmonary Dysplasia

Discrete but ordered covariates are quite common in applied statistics, ...

0 Jan Gertheiss, et al. ∙

∙ 12/22/2020

Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction

In recent years, manifold methods have moved into focus as tools for dim...

0 Moritz Herrmann, et al. ∙

∙ 06/27/2020

A General Machine Learning Framework for Survival Analysis

The modeling of time-to-event data, also known as survival analysis, req...

22 Andreas Bender, et al. ∙

∙ 11/18/2019

Benchmarking time series classification – Functional data vs machine learning approaches

Time series classification problems have drawn increasing attention in t...

0 Florian Pfisterer, et al. ∙

∙ 10/31/2018

A General Framework for Multivariate Functional Principal Component Analysis of Amplitude and Phase Variation

Functional data typically contains amplitude and phase variation. In man...

0 Clara Happ, et al. ∙

∙ 06/04/2018

pammtools: Piece-wise exponential Additive Mixed Modeling tools

This article introduces the pammtools package, which facilitates data tr...

0 Andreas Bender, et al. ∙

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