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Neural Combinatorial Optimization for Production Scheduling with Sequence-Dependent Setup Waste2020 Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics conference-paper Engineering Scheduling and Optimization Algorithms
Aymen Gannouni, Владимир Самсонов, Mohamed Behery, Tobias Meisen, Gerhard Lakemeyer
12citations -
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 -
Prediction of Fault Rock Permeability With Deep Learning: Training Data from Transfer Samples of Fault Cores2022 EAGE Annual Conference & Exhibition conference-paper Engineering Hydrocarbon exploration and reservoir analysis
Joyce Schmatz, Jop Klaver, Eva Wellmann, Mingming Jiang, Wolf- Gang Kraus, Simon Freitag, +2 more
0citations -
Machine learning identifies microbiome associations with MASLD biomarkers2025 Zeitschrift für Gastroenterologie conference-paper Biochemistry, Genetics and Molecular Biology Gut microbiota and health
Thriveni Basavanapura Raju, Alina Viehof, Nicole Simone Treichel, Yazhou Chen, Benjamin P. M. Laevens, Kai Markus Schneider, +2 more
0citations -
Accurately Solving Rod Dynamics with Graph Learning2021 King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) conference-paper Computer Science Computer Graphics and Visualization Techniques
Tassilo Kugelstadt, Torsten Hädrich, Wojtek Pałubicki, Jan Bender, Sören Pirk, Dominik Ludewig Michels
6citations