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#p-scheipl

Left Ventricular Untwist Determines Intradialytic Hemodynamics and Outcomes in Mildly Reduced and Preserved Ejection Fraction Patients

Physiological Reports 13.21. Nov. 2025

#p-scheipl

Area-Based Epigraph and Hypograph Indices for Functional Outlier Detection

Preprint (Jul. 2025)

#p-scheipl

Enhancing Cluster Analysis via Topological Manifold Learning

Data Mining and Knowledge Discovery 38. Apr. 2024

#p-boulesteix #p-scheipl

DCSI–An Improved Measure of Cluster Separability Based on Separation and Connectedness

Preprint (Oct. 2023)

#p-boulesteix #p-scheipl

Reproduzierbare Und Replizierbare Forschung

Moderne Verfahren Der Angewandten Statistik. Sep. 2023

#p-boulesteix #p-scheipl

Multivariate Functional Additive Mixed Models

Statistical Modelling 23.4. Aug. 2023

#p-scheipl

A Geometric Framework for Outlier Detection in High-Dimensional Data

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery E1491. Apr. 2023

#p-bischl #p-boulesteix #p-scheipl

Developing Open Source Educational Resources for Machine Learning and Data Science

Teaching Machine Learning and Artificial Intelligence Workshop @ECML-PKDD 2022

#p-bischl #p-ruegamer #p-scheipl

Tf: S3 Classes and Methods for Tidy Functional Data. R Package

2022

#p-scheipl

Tidyfun: Clean, Wholesome, Tidy Fun With Functional Data in R. R Package

2022

#p-scheipl

Protein Intake and Outcome of Critically Ill Patients: Analysis of a Large International Database Using Piece-Wise Exponential Additive Mixed Models

Critical Care 26.7. Jan. 2022

#p-bischl #p-kuechenhoff #p-scheipl

A Geometric Perspective on Functional Outlier Detection

Stats 4.4. Nov. 2021

#p-boulesteix #p-scheipl

Registration for Incomplete Non-Gaussian Functional Data

Preprint (Aug. 2021)

#p-kuechenhoff #p-scheipl

Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction

Preprint (Dec. 2020)

#p-boulesteix #p-scheipl

A General Machine Learning Framework for Survival Analysis

ECML-PKDD 2020

#p-bischl #p-ruegamer #p-scheipl

Tidyfun: Tools for Tidy Functional Data. R Package

2020

#p-scheipl

Registr: Curve Registration for Exponential Family Functional Data. R Package

2020

#p-kuechenhoff #p-scheipl

Benchmarking Time Series Classification -- Functional Data vs Machine Learning Approaches

Preprint (Nov. 2019)

#p-bischl #p-scheipl

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

Stat 8.2. Feb. 2019

#p-scheipl

Refund: Regression With Functional Data

2019

#p-scheipl

Generalised Functional Additive Models for Brain Arousal State Dynamics

IPEG 2018

#p-scheipl