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Papers matching “MLOps” 10

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CAPTURE: A Stakeholder-Centered Iterative MLOps Lifecycle
2026 Applied Sciences article Social Sciences Ethics and Social Impacts of AI Open access

Michał Słupczyński, René Reiners, Stefan Decker

1

citations
CAPTURE: A Stakeholder-Centered Iterative MLOps Lifecycle
2026 RWTH Publications (RWTH Aachen) article Social Sciences Information Systems Theories and Implementation Open access

Michal Piotr Slupczynski, René Reiners, Stefan Josef Decker

0

citations
Advances in Time Series Forecasting Development for Power Systems’ Operation with MLOps
2022 Forecasting article Engineering Energy Load and Power Forecasting Open access

Gonca Gürses-Tran, Antonello Monti

12

citations
Towards Industry 5.0: AAS/MLOps-Driven Model Maintenance for Data-Centric Production
2025 conference-paper Computer Science Model-Driven Software Engineering Techniques Open access

Kiavash Fathi, Marcin Sadurski, Stefan Waskow, Tobias Kleinert, Hans Wernher van de Venn

0

citations
Trustworthy Machine Learning Operations for Predictive Maintenance Solutions
2024 PHM Society European Conference conference-paper Engineering Fault Detection and Control Systems Open access

Kiavash Fathi, Tobias Kleinert, Hans Wernher van de Venn

2

citations
Dynamic data management for continuous retraining
2022 conference-paper Decision Sciences Scientific Computing and Data Management

Evgeny Kusmenko, Jonas Ritz, Bernhard Rumpe⋆, Moritz Benedikt Weber

17

citations
MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat
2022 CentAUR (University of Reading) book-chapter Computer Science Software System Performance and Reliability Open access

Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz, Bernhard Rumpe⋆, Armin Moin, Atta Badii, +2 more

3

citations
Physics-Informed ML-based Chatter Detection for Thin-Walled Milling
2026 Procedia CIRP article Engineering Advanced machining processes and optimization Open access

Aakash Singh, Michał Słupczyński, Michal Kovac, Viktor Rudel, Stefan Decker, Thomas Bergs

0

citations
Fundamental requirements of a machine learning operations platform for industrial metal additive manufacturing
2023 Computers in Industry article Engineering Additive Manufacturing Materials and Processes

Mutahar Safdar, Padma Polash Paul, Guy Lamouche, Gentry Wood, Max Zimmermann, Florian Hannesen, +3 more

23

citations
Towards Industry 5.0: AAS/MLOps-Driven Model Maintenance for Data-Centric Production
2025 RWTH Publications (RWTH Aachen) book-chapter Computer Science Model-Driven Software Engineering Techniques Open access

Kiavash Fathi, Marcin Sadurski, Stefan Waskow, Tobias Kleinert, Hans Wernher van de Venn

0

citations

10 results