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Papers 15

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Learning curves for decision making in supervised machine learning: a survey
2024 Machine Learning article Computer Science Machine Learning and Data Classification Open access

Felix Mohr, Jan N. van Rijn

65

citations
Hyperparameter importance and optimization of quantum neural networks across small datasets
2023 Machine Learning article Computer Science Quantum Computing Algorithms and Architecture Open access

Charles Moussa, Yash J. Patel, Vedran Dunjko, Thomas Bäck, Jan N. van Rijn

26

citations
Are LSTMs good few-shot learners?
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Thomas M. Moerland, Aske Plaat, Jan N. van Rijn

12

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

Mike Huisman, Aske Plaat, Jan N. van Rijn

12

citations
Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting
2025 Machine Learning article Economics, Econometrics and Finance Sports Analytics and Performance

Fabian Wunderlich, Henrik Biermann, Weiran Yang, Manuel Bassek, Dominik Raabe, Nico Elbert, +2 more

10

citations
Stateless neural meta-learning using second-order gradients
2022 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

9

citations
Fair tree classifier using strong demographic parity
2023 Machine Learning article Social Sciences Ethics and Social Impacts of AI Open access

António Pereira Barata, Frank W. Takes, H.J. van den Herik, Cor J. Veenman

8

citations
Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio
2022 Machine Learning article Computer Science Adversarial Robustness in Machine Learning Open access

Holger H. Hoos, Jan N. van Rijn

7

citations
Subspace Adaptation Prior for Few-Shot Learning
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

4

citations
Unsupervised discretization by two-dimensional MDL-based histogram
2023 Machine Learning article Computer Science Data Mining Algorithms and Applications Open access

Lincen Yang, Mitra Baratchi, Matthijs van Leeuwen

4

citations
Scale-preserving automatic concept extraction (SPACE)
2023 Machine Learning article Computer Science Explainable Artificial Intelligence (XAI) Open access

Andrés Felipe Posada-Moreno, Lukas Kreisköther, Tassilo Glander, Sebastian Trimpe

1

citations
Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning
2025 Machine Learning article Computer Science Time Series Analysis and Forecasting Open access

Wadie Skaf, Mitra Baratchi, Holger H. Hoos

0

citations
Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning
2025 Machine Learning article Computer Science Time Series Analysis and Forecasting Open access

0

citations
Discovering subjectively interesting multigraph patterns
2020 Machine Learning article Computer Science Data Mining Algorithms and Applications Open access

Dhish Kumar Saxena, Matthijs van Leeuwen

0

citations
Equation Discovery for Classification: Finding Interpretable Symbolic Specifications of the Decision Boundary
2026 Machine Learning article Computer Science Evolutionary Algorithms and Applications Open access

Godfried Toussaint, Arno Knobbe

0

citations

15 results