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Papers matching “model learning” 1,607

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Genuine videobased E-learning in Teacher education: media didactic modalities of working with Learning Management Systems
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Educational Technology and E-Learning Open access

Jan Mühlhausen

0

citations
Understanding transfer learning and gradient-based meta-learning techniques
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 1 patent

Mike Huisman, Aske Plaat, Jan N. van Rijn

12

citations
Swarm Split Learning: A Fully Distributed Machine Learning System for Energy-Constrained IoT Systems
2024 conference-paper Computer Science Privacy-Preserving Technologies in Data

Ahmad Ayad, Mahdi Barhoush, Anke Schmeink

0

citations
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery
2023 UvA-DARE (University of Amsterdam) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Sarah Rastegar, Hazel Doughty, Cees G. M. Snoek

1

citations
P2P-DML: Peer-to-Peer Distributed Machine Learning for Medical Deep Reinforcement Learning
2025 IEEE International Conference on Healthcare Informatics (ICHI) conference-paper Computer Science Reinforcement Learning in Robotics

Felix Walger, Miriam Chlumsky-Harttmann, Anke Schmeink

0

citations
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
2020 Nature Communications article Computer Science Machine Learning in Healthcare Open access

Marc-André Schulz, B.T. Thomas Yeo, Joshua T Vogelstein, Janaina Mourao-Miranada, Jakob Nikolas Kather, Konrad Paul Kording, +2 more

312

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe

2

citations
A Unifying Framework for Reinforcement Learning and Planning
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

1

citations
A Unifying Framework for Reinforcement Learning and Planning
2022 Frontiers in Artificial Intelligence article Computer Science Reinforcement Learning in Robotics Open access cited by 1 patent

Thomas M. Moerland, Joost Broekens, Aske Plaat, Catholijn M. Jonker

16

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
The openOCHEM consensus model is the best-performing open-source predictive model in the First EUOS/SLAS joint compound solubility challenge
2024 SLAS DISCOVERY article Computer Science Computational Drug Discovery Methods Open access

Andrea Hunklinger, Peter B. R. Hartog, Martin Šícho, Guillaume Godin, Igor V. Tetko

21

citations
Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Ben McEwen, Shiqi Zhang, Dan Stowell

0

citations
INTELLIGENT TECHNOLOGY FOR OPTIMIZING THE PROJECT-BASED APPROACH TO TEACHING STUDENTS USING LEARNING MANAGEMENT SYSTEMS
2025 Bulletin of National Technical University KhPI Series System Analysis Control and Information Technologies article Computer Science Recommender Systems and Techniques Open access

Volodymyr Sokol, Mykhaylo Godlevskyi, Mariia Oleksiivna Bilova, Roman Tupkalenko

1

citations
Artifact and reference models for generative machine learning frameworks and build systems
2021 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences (GPCE) conference-paper Computer Science Model-Driven Software Engineering Techniques cited by 3 patents

Abdallah Atouani, Jörg Christian Kirchhof, Evgeny Kusmenko, Bernhard Rumpe⋆

15

citations
Use of Federated Learning for validating and updating privacy-preserving decentralized multi-study prognostic models in Traumatic Brain Injury
2026 medRxiv preprint Computer Science Privacy-Preserving Technologies in Data Open access

Abel Torres Espin, Justin C. Wong, H.E. Hinson, Thomas B. Kuipers, Bart P. T. Hoekstra, Sonia Jain, +12 more

0

citations
The Bigger Fish: A Comparison of Meta-Learning QSAR Models on Low-Resourced Aquatic Toxicity Regression Tasks
2023 Environmental Science & Technology article Computer Science Computational Drug Discovery Methods Open access

Thalea Schlender, Markus Viljanen, Jan N. van Rijn, Felix Mohr, Willie J.G.M. Peijnenburg, Holger H. Hoos, +2 more

43

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

3

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features
2025 EBioMedicine article Computer Science AI in cancer detection Open access

Shannon Doyle, Esther H. Lips, Eric Marcus, Lennart Mulder, Yat-Hee Liu, Francesco Dal Canton, +10 more

6

citations
Motivational design of an e-learning application for managers in healthcare
2022 AHFE international conference-paper Computer Science Educational Technology and E-Learning Open access

Marisa Schirmer, Mareike Sorge, Christina Mayer, Wiebke Stöver, Verena Nitsch, Susanne Mütze Niewöhner

2

citations
Reinforcement Learning in Infinite State Spaces: Convergence Guarantees via Stable Exploration
2026 HAL preprint Computer Science Reinforcement Learning in Robotics Open access

Vittorio Puricelli, Urtzi Ayesta, Matthieu Jonckheere, Michel Mandjes

0

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 Model-Driven Software Engineering Techniques Open access

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

3

citations
Autoencoder-enabled model portability for reducing hyperparameter tuning efforts in side-channel analysis
2023 Journal of Cryptographic Engineering article Computer Science Cryptographic Implementations and Security Open access

Marina Krček, Guilherme Perin

5

citations
Structured learning of rigid‐body dynamics: A survey and unified view from a robotics perspective
2021 GAMM-Mitteilungen article Computer Science Reinforcement Learning in Robotics Open access

A. René Geist, Sebastian Trimpe

25

citations