Papers matching “hyperparameter optimization” 33
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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 -
Meta-learning for symbolic hyperparameter defaults2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Machine Learning and Data Classification Open access cited by 2 patents
Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn, Bernd Bischl, Joaquin Vanschoren
6citations -
Results from the Joint Nevergrad and IOHprofiler Open Optimization Competition2021 HAL (Le Centre pour la Communication Scientifique Directe) other Computer Science Metaheuristic Optimization Algorithms Research Open access
Thomas Bäck, Pauline Bennet, Jacob de Nobel, Carola Doerr, Johann Dréo, Herilalaina Rakotoarison, +5 more
0citations -
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 cited by 2 patents
Florian Pfisterer, Jan N. van Rijn, Philipp Probst, Andreas Christian Müller, Bernd Bischl
28citations -
Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules2021 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Jacob de Nobel, Diederick Vermetten, Hao Wang, Carola Doerr, Thomas Bäck
49citations -
A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards2021 Sensors article Engineering Industrial Vision Systems and Defect Detection Open access cited by 1 patent
Christian Knaak, Jakob von Eßen, Moritz Kröger, Frederic Schulze, Arnold Gillner
71citations -
DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions2021 Computers & Structures article Materials Science Machine Learning in Materials Science Open access
Alexander Fuchs, Yousef Heider, Kun Wang, WaiChing Sun, Michael Kaliske
58citations