Papers matching “machine learning for optimization” 202
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Learning multiple defaults for machine learning algorithms2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access
Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas Christian Müller, Bernd Bischl
28citations -
Towards Time-Series Feature Engineering in Automated Machine Learning for Multi-Step-Ahead Forecasting2022 International Conference on Time Series and Forecasting (ITISE) conference-paper Computer Science Time Series Analysis and Forecasting Open access
Can Wang, Mitra Baratchi, Thomas Bäck, Holger H. Hoos, Steffen Limmer, Markus Olhofer
31citations -
Quantum multi-output Gaussian Processes based Machine Learning for Line Parameter Estimation in Electrical Grids2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Priyanka Arkalgud Ganeshamurthy, Kumar Ghosh, Corey O’Meara, G. Cortiana, Jan Schiefelbein-Lach, Antonello Monti
0citations -
Reinforcement learning for optimization of variational quantum circuit architectures2021 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk, Eleanor Scerri, Vedran Dunjko
50citations -
Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules2025 Journal of the American Medical Informatics Association article Computer Science Machine Learning in Healthcare Open access
Lincen Yang, Siri Lise van der Meijden, M. Sesmu Arbous, Matthijs van Leeuwen
1citations -
Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems2021 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Machine Learning and Data Classification Open access
Duc Anh Nguyen, Jiawen Kong, Hao Wang, Stefan Menzel, Bernhard Sendhoff, Anna V. Kononova, +1 more
12citations -
Hybrid quantum ResNet for car classification and its hyperparameter optimization2023 Quantum Machine Intelligence article Computer Science Quantum Computing Algorithms and Architecture Open access
Asel Sagingalieva, Mohammad Kordzanganeh, Andrii Kurkin, Artem Melnikov, Daniil Kuhmistrov, Michael Romanovich Perelshtein, +2 more
42citations -
Human-Centric Machine Learning for Temporal Knowledge Graphs: Towards Understanding the European Alternative Fuels Market2022 Proceedings/Proceedings -- IEEE Symposium on Visual Languages and Human-Centric Computing conference-paper Computer Science Advanced Graph Neural Networks
Robert Jungnickel, Aymen Gannouni, Anas Abdelrazeq, Ingrid Isenhardt
1citations