984 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of StuttgartDE21 papers
- Fraunhofer Institute for Industrial EngineeringDE2 papers
- Fraunhofer Institute of Optronics, System Technologies and Image ExploitationDE2 papers
- Heilbronn UniversityDE2 papers
- Software (Germany)DE2 papers
- Stuttgart Media UniversityDE2 papers
- Carnegie Mellon UniversityUS1 paper
- Delft University of TechnologyNL1 paper
- Deutscher WetterdienstDE1 paper
- Esslingen University of Applied SciencesDE1 paper
- Forschungszentrum JülichDE1 paper
- Friedrich-Alexander-Universität Erlangen-NürnbergDE1 paper
9 papers · 1 filter
ScrewSense: Mapping the Invisible - Anomaly Detection and Error Classification in Screwdriving Processes
Tobias Lettner, Tatyana Ivanovska, Anwar Al Assadi +1
The growing volume of process data generated by screwdriving systems, combined with advancements in computing power, data storage, and algorithms, is facilitating the application o…
Physics-Informed Machine Learning in Prognostics and Health Management: A Systematic Literature Review
Christopher Braun, Julian Raible, Marco F. Huber
In modern industry, keeping complex systems reliable, safe, and efficient hinges on Prognostics and Health Management (PHM). Machine Learning (ML) has largely driven advancements i…
From Confusion to Clarity: ProtoScore -- A Framework for Evaluating Prototype-Based XAI
Helena Monke, Benjamin Sae-Chew, Benjamin Fresz +1
The complexity and opacity of neural networks (NNs) pose significant challenges, particularly in high-stakes fields such as healthcare, finance, and law, where understanding decisi…
ML-Based Bidding Price Prediction for Pay-As-Bid Ancillary Services Markets: A Use Case in the German Control Reserve Market
Vincent Bezold, Lukas Baur, Alexander Sauer
The increasing integration of renewable energy sources has led to greater volatility and unpredictability in electricity generation, posing challenges to grid stability. Ancillary…
Automated Machine Learning for Remaining Useful Life Predictions
Marc-André Zöller, Fabian Mauthe, Peter Zeiler +2
Being able to predict the remaining useful life (RUL) of an engineering system is an important task in prognostics and health management. Recently, data-driven approaches to RUL pr…
Low-dimensional Data-based Surrogate Model of a Continuum-mechanical Musculoskeletal System Based on Non-intrusive Model Order Reduction
Jonas Kneifl, David Rosin, Oliver Röhrle +1
In recent decades, the main focus of computer modeling has been on supporting the design and development of engineering prototyes, but it is now ubiquitous in non-traditional areas…
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning
Marc-André Zöller, Waldemar Titov, Thomas Schlegel +1
In the last ten years, various automated machine learning (AutoM ) systems have been proposed to build end-to-end machine learning (ML) pipelines with minimal human interaction. Ev…
Reinforcement Learning based Condition-oriented Maintenance Scheduling for Flow Line Systems
Raphael Lamprecht, Ferdinand Wurst, Marco F. Huber
Maintenance scheduling is a complex decision-making problem in the production domain, where a number of maintenance tasks and resources has to be assigned and scheduled to producti…
A Survey on the Explainability of Supervised Machine Learning
Nadia Burkart, Marco F. Huber
Predictions obtained by, e.g., artificial neural networks have a high accuracy but humans often perceive the models as black boxes. Insights about the decision making are mostly op…