From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “model-based evaluation” 23

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

Online model-based anomaly detection in multivariate time series: Taxonomy, survey, research challenges and future directions
2024 Engineering Applications of Artificial Intelligence article Computer Science Anomaly Detection Techniques and Applications Open access

Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova

41

citations
The Impact of Asynchrony on Parallel Model-Based EAs
2023 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

3

citations
The Impact of Asynchrony on Parallel Model-Based EAs
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Online Time-series Anomaly Detection: A Survey of Modern Model-based Approaches
2022 Research Square preprint Computer Science Anomaly Detection Techniques and Applications Open access

Jan-Christoph Goos, Anna V. Kononova, Thomas Bäck, Philipp Klein

5

citations
Online Model-Based Anomaly Detection in Multivariate Time Series: Survey, Research Challenges and Future Directions
2024 SSRN Electronic Journal preprint Computer Science Anomaly Detection Techniques and Applications Open access

Lucas Correia, Jan-Christoph Goos, Philipp Klein, Thomas Bäck, Anna V. Kononova

0

citations
Improved prediction rule ensembling through model-based data generation
2021 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Benny Markovitch, Marjolein Fokkema

1

citations
What model does MuZero learn?
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jinke He, Thomas M. Moerland

0

citations
What Model Does MuZero Learn?
2024 Frontiers in artificial intelligence and applications book-chapter Computer Science Reinforcement Learning in Robotics Open access

Jinke He, Thomas M. Moerland, Joery A. de Vries, Frans A. Oliehoek

1

citations
Ultrasound-based 3D bone modelling in computer assisted orthopedic surgery – a review and future challenges
2024 Computer Assisted Surgery article Computer Science Medical Image Segmentation Techniques Open access

Benjamin Hohlmann, Peter Broessner, Klaus Radermacher

10

citations
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

0

citations
Offline Trajectory Optimization for Offline Reinforcement Learning
2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) conference-paper Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Liu Yang, Fajie Yuan, Pengjie Ren, Zhumin Chen, +1 more

0

citations
Learning Hierarchical Policies by Iteratively Reducing the Width of Sketch Rules
2023 conference-paper Computer Science AI-based Problem Solving and Planning Open access

Dominik Drexler, Jendrik Seipp, Héctor Geffner

6

citations
Reinforcement learning for real-world production systems
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Reinforcement Learning in Robotics Open access

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
Few-shot and meta-learning methods for image understanding: a survey
2023 International Journal of Multimedia Information Retrieval article Computer Science Domain Adaptation and Few-Shot Learning Open access

Kai He, Nan Pu, Mingrui Lao, Michael S. Lew

45

citations
Metalearning for Deep Neural Networks
2022 Cognitive technologies book-chapter Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Jan N. van Rijn, Aske Plaat

4

citations
Offline Trajectory Optimization for Offline Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Yang Liu, Fajie Yuan, Pengjie Ren, Zhumin Chen

0

citations
Machine Learning as a Novel Method to Support Therapeutic Drug Management and Precision Dosing
2021 Clinical Pharmacology & Therapeutics article Computer Science Machine Learning in Healthcare Open access

Teun van Gelder, Alexander A. T. M. M. Vinks

25

citations
On the applicability of hybrid systems safety verification tools from the automotive perspective
2023 International Journal on Software Tools for Technology Transfer book-chapter Computer Science Formal Methods in Verification Open access

Stefan Schupp, Erika Ábrahám, Md Tawhid Bin Waez, Thomas Rambow, Zeng Qiu

3

citations
A Comparison of Two Sigma Point Kalman Filters for Adaptive Cross-phase Cavity Pressure Control in Injection Molding
2022 IFAC-PapersOnLine article Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Marko Vukovic, Sebastian Stemmler, Dirk Abel, Katharina Hornberg, Christian Hopmann

2

citations
Investigations on neural networks, discriminative training criteria and error bounds
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Speech Recognition and Synthesis Open access

Markus Nußbaum-Thom

0

citations
Instance Selection Methods in Automated Algorithm Configuration
2026 The European Journal on Artificial Intelligence article Computer Science Machine Learning and Data Classification Open access

Marie Anastacio, Théo Matricon, Holger H. Hoos

0

citations
Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in Pathology
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Laura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, +5 more

7

citations

23 results