Papers matching “machine learning for optimization” 682
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Avoiding Replicates in Biocatalysis Experiments: Machine Learning for Enzyme Cascade Optimization2024 ChemCatChem article Biochemistry, Genetics and Molecular Biology Enzyme Catalysis and Immobilization Open access
Regine Siedentop, Maximilian Siska, Johanna Hermes, Stephan Lütz, Eric von Lieres, Katrin Rosenthal
9citations -
A causal perspective on Machine Learning for concrete quality predictions and data-driven mixture optimization2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Concrete and Cement Materials Research Open access
Thorsten Kalb, Anil Esen, Elsa Qoku, Thomas Matschei, Chiara Masiero, Gian Antonio Susto
0citations -
Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool2020 International Conference on Enterprise Information Systems conference-paper Engineering Manufacturing Process and Optimization Open access
Владимир Самсонов, Chrismarie Enslin, Hans-Georg Köpken, Schirin Baer, Daniel Lütticke
7citations -
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 -
Induced network-based transfer learning in injection molding for process modelling and optimization with artificial neural networks97citations
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A causal perspective on Machine Learning for concrete quality predictions and data-driven mixture optimization2026 SSRN Electronic Journal preprint Engineering Concrete and Cement Materials Research Open access
Thorsten Kalb, Anil Esen, Elsa Qoku, Thomas Matschei, Chiara Masiero, Gian Antonio Susto
0citations -
Towards Sustainable Precision: Machine Learning for Laser Micromachining Optimization2024 Lecture notes in computer science conference-paper Engineering Laser Material Processing Techniques Open access
Luis Correas-Naranjo, Miguel Camacho-Sánchez, Laëtitia Launet, Milena Žurić, Valery Naranjo
0citations -
Interpretation of the DOME Recommendations for Machine Learning in Proteomics and Metabolomics2022 Journal of Proteome Research article Chemistry Advanced Proteomics Techniques and Applications Open access
Magnus Palmblad, Sebastian Böcker, Sven Degroeve, Oliver Kohlbacher, Lukas Käll, William Stafford Noble, +1 more
16citations