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#p_scheipl

PFL+25

Area-Based Epigraph and Hypograph Indices for Functional Outlier Detection

Preprint (Jul. 2025)

#p_scheipl

HKS+24a

Enhancing Cluster Analysis via Topological Manifold Learning

Data Mining and Knowledge Discovery 38. Apr. 2024

#p_boulesteix #p_scheipl

GSH24

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

Preprint (Oct. 2023)

#p_boulesteix #p_scheipl

HSB23

Reproduzierbare Und Replizierbare Forschung

Moderne Verfahren Der Angewandten Statistik. Sep. 2023

#p_boulesteix #p_scheipl

VSS+23

Multivariate Functional Additive Mixed Models

Statistical Modelling 23.4. Aug. 2023

#p_scheipl

HPS23

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

BSC+22

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

GS22

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

2022

#p_scheipl

GS22a

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

2022

#p_scheipl

HKB+22

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

HS21

A Geometric Perspective on Functional Outlier Detection

Stats 4.4. Nov. 2021

#p_boulesteix #p_scheipl

BSK21

Registration for Incomplete Non-Gaussian Functional Data

Preprint (Aug. 2021)

#p_kuechenhoff #p_scheipl

HS20

Unsupervised Functional Data Analysis via Nonlinear Dimension Reduction

Preprint (Dec. 2020)

#p_boulesteix #p_scheipl

BRS+20

A General Machine Learning Framework for Survival Analysis

ECML-PKDD 2020

#p_bischl #p_ruegamer #p_scheipl

SGW20

Tidyfun: Tools for Tidy Functional Data. R Package

2020

#p_scheipl

WBG+20

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

2020

#p_kuechenhoff #p_scheipl

PBS+19

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

Preprint (Nov. 2019)

#p_bischl #p_scheipl

HSG+19

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

Stat 8.2. Feb. 2019

#p_scheipl

GSH+19

Refund: Regression With Functional Data

2019

#p_scheipl

MSB+18

Generalised Functional Additive Models for Brain Arousal State Dynamics

IPEG 2018

#p_scheipl
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0001-01-01 - Last modified: 0001-01-01