Papers matching “machine learning for optimization” 127
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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 -
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 -
Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Concrete and Cement Materials Research Open access
Thorsten Kalb, Ismael Kithinji Kinoti, Wilson Ricardo Leal da Silva, Chiara Masiero, Gian Antonio Susto
0citations -
Explainable Machine Learning for prediction and monitoring of compressive strength in LC3 production2026 Zenodo (CERN European Organization for Nuclear Research) preprint Engineering Mineral Processing and Grinding Open access
Thorsten Kalb, Ismael Kithinji Kinoti, Wilson Ricardo Leal da Silva, Chiara Masiero, Gian Antonio Susto
0citations -
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease2023 arXiv (Cornell University) preprint Medicine Dementia and Cognitive Impairment Research Open access
Wenjie Kang, Bo Li, Janne M. Papma, Lize Corrine Jiskoot, Peter Paul De Deyn, Geert Jan Biessels, +6 more
1citations -
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 -
Recent Advances in Metasurface Design and Quantum Optics Applications with Machine Learning, Physics-Informed Neural Networks, and Topology Optimization Methods2023 arXiv (Cornell University) preprint Materials Science Metamaterials and Metasurfaces Applications Open access
Wenye Ji, He‐Xiu Xu, Jian Gao, Simon Gröblacher, Paul Urbach, Aurèle J. L. Adam
0citations -
A machine learning method for the discovery of minimum marker gene combinations for cell type identification from single-cell RNA sequencing2021 Genome Research preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access
Brian D. Aevermann, Yun Zhang, Mark A. Novotny, Mohamed Keshk, Trygve E. Bakken, Jeremy A. Miller, +4 more
96citations -
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 -
Machine learning for optimal growth temperature prediction of prokaryotes using amino acid descriptors2025 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Machine Learning in Bioinformatics Open access
Sophie Colette, Jérémie François, Bart De Moor, Vera van Noort
4citations