Christian Beecks

About Christian Beecks

Christian Beecks, With an exceptional h-index of 20 and a recent h-index of 11 (since 2020), a distinguished researcher at Westfälische Wilhelms-Universität Münster, specializes in the field of Data Science, Machine Learning, Data Mining, Big Data, Multimedia Databases.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the Laplace Approximation as Model Selection Criterion for Gaussian Processes

AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0

Frequent Component Analysis for Large Time Series Databases with Gaussian Processes

Gaussian Process Component Mining with the Apriori Algorithm

Towards Automated Clustering

1776-P: Glucolipotoxic Conditions Affect Membrane Potential Wave Velocity Determined in Intact Islets Using Microelectrode Arrays

Interpreting black-box machine learning models for high dimensional datasets

Risk Identification of Data Science Projects: A Literature Review

Christian Beecks Information

University

Position

Professor of Computer Science Germany

Citations(all)

1667

Citations(since 2020)

734

Cited By

1186

hIndex(all)

20

hIndex(since 2020)

11

i10Index(all)

41

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Christian Beecks Skills & Research Interests

Data Science

Machine Learning

Data Mining

Big Data

Multimedia Databases

Top articles of Christian Beecks

Title

Journal

Author(s)

Publication Date

On the Laplace Approximation as Model Selection Criterion for Gaussian Processes

arXiv preprint arXiv:2403.09215

Andreas Besginow

Jan David Hüwel

Thomas Pawellek

Christian Beecks

Markus Lange-Hegermann

2024/3/14

AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0

Systems

Enrico Alberti

Sergio Alvarez-Napagao

Victor Anaya

Marta Barroso

Cristian Barrué

...

2024/2/2

Frequent Component Analysis for Large Time Series Databases with Gaussian Processes

Jan David Hüwel

Christian Beecks

2024

Gaussian Process Component Mining with the Apriori Algorithm

Jan David Hüwel

Christian Beecks

2023/8/16

Towards Automated Clustering

Georg Stefan Schlake

Christian Beecks

2023/12/15

1776-P: Glucolipotoxic Conditions Affect Membrane Potential Wave Velocity Determined in Intact Islets Using Microelectrode Arrays

Diabetes

ANNE K GRESCH

THOMAS DEICKERT

JAN D HÜWEL

JENNIFER BRIGGS

CHRISTIAN BEECKS

...

2023/6/20

Interpreting black-box machine learning models for high dimensional datasets

Md Rezaul Karim

Md Shajalal

Alexander Graß

Till Döhmen

Sisay Adugna Chala

...

2023/10/9

Risk Identification of Data Science Projects: A Literature Review

Maike Holtkemper

Maria Potanin

Alexander Oberst

Christian Beecks

2023

Anomaly Detection in Manufacturing

Jona Scholz

Maike Holtkemper

Alexander Graß

Christian Beecks

2023/9/28

Resolving spatiotemporal electrical signaling within the islet via CMOS microelectrode arrays

bioRxiv

Anne Gresch

Jan D Huewel

Jennifer Briggs

Tim Berger

Ruben Koch

...

2023

Designing a Marketplace to Exchange AI Models for Industry 5.0

Alexandros Nizamis

Georg Schlake

Georgios Siachamis

Vasileios Dimitriadis

Christos Patsonakis

...

2023/9/28

Prototyping a Virtual Tutor with Modular Teaching Styles

Andrea Linxen

Simone Opel

Stephanie Ebbing

Christian Beecks

2023

A Knowledge Graph for Query-Induced Analyses of Hierarchically Structured Time Series Information

Alexander Graß

Christian Beecks

Sisay Adugna Chala

Christoph Lange

Stefan Decker

2023/8/31

Knowledge Graphs for Competency-Based Education

Andrea Linxen

Florian Endel

Simone Opel

Christian Beecks

2023/12/15

Evaluating the lottery ticket hypothesis to sparsify neural networks for time series classification

Georg Stefan Schlake

Jan David Hüwel

Fabian Berns

Christian Beecks

2022/5/9

Tracing Patterns in Electrophysiological Time Series Data

Jan David Hüwel

Anne Gresch

Fabian Berns

Ruben Koch

Martina Düfer

...

2022/10/13

Sample-based Kernel Structure Learning with Deep Neural Networks for Automated Structure Discovery

Alexander Graß

Till Döhmen

Christian Beecks

2022/5/9

Dynamically self-adjusting Gaussian processes for data stream modelling

Jan David Hüwel

Florian Haselbeck

Dominik G Grimm

Christian Beecks

2022/9/12

Gitschemas: A dataset for automating relational data preparation tasks

DBML Workshop at the 38th IEEE International Conference on Data Engineering

Till Döhmen

Madelon Hulsebos

Christian Beecks

Sebastian Schelter

2022/5

Smart data and the industrial internet of things

Christian Beecks

Hassan Rasheed

Alexander Grass

Shreekantha Devasya

Marc Jentsch

...

2022/9/1

See List of Professors in Christian Beecks University(Westfälische Wilhelms-Universität Münster)

Co-Authors

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