Martin Atzmueller

About Martin Atzmueller

Martin Atzmueller, With an exceptional h-index of 38 and a recent h-index of 19 (since 2020), a distinguished researcher at Universität Osnabrück, specializes in the field of artificial intelligence, knowledge discovery, machine learning, network science, pattern mining.

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

SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods

Artificial Intelligence. ECAI 2023 International Workshops: XAI^ 3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30–October 4, 2023 …

Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis

“Want to come play with me?” Outlier subgroup discovery on spatio‐temporal interactions

Identifying Informative Nodes in Attributed Spatial Sensor Networks using Attention for Symbolic Abstraction in a GNN-based Modeling Approach

Making time series embeddings more interpretable in deep learning: Extracting higher-level features via symbolic approximation representations

Advanced Analytics on Complex Industrial Data

Martin Atzmueller Information

University

Position

Professor Computer Science

Citations(all)

4564

Citations(since 2020)

2042

Cited By

3274

hIndex(all)

38

hIndex(since 2020)

19

i10Index(all)

110

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

Martin Atzmueller Skills & Research Interests

artificial intelligence

knowledge discovery

machine learning

network science

pattern mining

Top articles of Martin Atzmueller

SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods

Behavior Research Methods

2024/3/7

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Benjamin Schöne
Benjamin Schöne

H-Index: 9

Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

2023/7/18

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Exploratory and Explanation-Aware Network Intrusion Profiling using Subgroup Discovery and Complex Network Analysis

2023/6/14

Martin Atzmueller
Martin Atzmueller

H-Index: 24

“Want to come play with me?” Outlier subgroup discovery on spatio‐temporal interactions

Expert Systems

2021/3/6

Carolina Centeio Jorge
Carolina Centeio Jorge

H-Index: 2

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Identifying Informative Nodes in Attributed Spatial Sensor Networks using Attention for Symbolic Abstraction in a GNN-based Modeling Approach

The International FLAIRS Conference Proceedings

2023/5/8

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Making time series embeddings more interpretable in deep learning: Extracting higher-level features via symbolic approximation representations

The International FLAIRS Conference Proceedings

2023/5/8

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Advanced Analytics on Complex Industrial Data

2023/3/24

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Methods for explaining Top-N recommendations through subgroup discovery

Data Mining and Knowledge Discovery

2023/3

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Multi-level analysis of learning management systems’ user acceptance exemplified in two system case studies

Data

2023/2/22

Roberto Rondinelli
Roberto Rondinelli

H-Index: 0

Martin Atzmueller
Martin Atzmueller

H-Index: 24

multiSyncPy: A Python package for assessing multivariate coordination dynamics

Behavior Research Methods

2023/2

Dan Hudson
Dan Hudson

H-Index: 0

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification

2023

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Active-learning-driven deep interactive segmentation for cost-effective labeling of crop-weed image data

2023

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Robotic Peg-in-Hole Insertion with Tight Clearances: A Force-based Deep Q-Learning Approach

2023/12/15

Martin Atzmueller
Martin Atzmueller

H-Index: 24

A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain

2023/12/5

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data

2023/12/4

Dan Hudson
Dan Hudson

H-Index: 0

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

Information Fusion

2023/12/1

Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery

2023/10/9

Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets

2023/10/2

Nils Aschenbruck
Nils Aschenbruck

H-Index: 14

Martin Atzmueller
Martin Atzmueller

H-Index: 24

Post–mining on Association Rule Bases

2023/9/30

Daniel Weidner
Daniel Weidner

H-Index: 0

Martin Atzmueller
Martin Atzmueller

H-Index: 24

See List of Professors in Martin Atzmueller University(Universität Osnabrück)

Co-Authors

academic-engine