Papers matching “hyperparameter optimization” 31
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The Importance of Landscape Features for Performance Prediction of Modular CMA-ES Variants2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Carola Doerr, Peter Korošec, Tome Eftimov
1citations -
The importance of landscape features for performance prediction of modular CMA-ES variants2022 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Carola Doerr, Peter Korošec, Tome Eftimov
15citations -
End-to-End Pipeline for Uncertainty Quantification and Remaining Useful Life Estimation: An Application on Aircraft Engines2022 PHM Society European Conference conference-paper Engineering Machine Fault Diagnosis Techniques Open access
Marios Kefalas, Bas van Stein, Mitra Baratchi, Asteris Apostolidis, Thomas Bäck
4citations -
Exploring Parameter and Hyper-Parameter Spaces of Neuroscience Models on High Performance Computers With Learning to Learn2022 Frontiers in Computational Neuroscience article Neuroscience Neural dynamics and brain function Open access
Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero, Wouter Klijn, Aarón Pérez Martín, +4 more
9citations -
Battery Thermal Runaway Fault Prognosis in Electric Vehicles Based on Abnormal Heat Generation and Deep Learning Algorithms2022 IEEE Transactions on Power Electronics article Engineering Advanced Battery Technologies Research cited by 2 patents
Da Li, Peng Liu, Zhaosheng Zhang, Lei Zhang, Junjun Deng, Zhenpo Wang, +3 more
220citations -
AutoML for estimating grass height from ETM+/OLI data from field measurements at a nature reserve2022 GIScience & Remote Sensing article Environmental Science Remote Sensing in Agriculture Open access
Nuno César de Sá, Mitra Baratchi, Vincent Buitenhuis, Perry Cornelissen, Peter M. van Bodegom
13citations -
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data2022 International Conference on Computer and Automation Engineering conference-paper Computer Science Seismology and Earthquake Studies Open access
Fan Yang, Marios Kefalas, Anna V. Kononova, Yanan Qiao, Thomas Bäck
11citations -
Review of automated time series forecasting pipelines2022 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery article Computer Science Time Series Analysis and Forecasting Open access cited by 1 patent
Stefan Meisenbacher, Marian Turowski, Kaleb Phipps, Martin Rätz, Dirk Müller, Veit Hagenmeyer, +1 more
81citations -
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 -
Linking Problem Landscape Features with the Performance of Individual CMA-ES Modules - Data2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Metaheuristic Optimization Algorithms Research Open access
Ana Kostovska, Diederick Vermetten, Sašo Džeroski, Carola Doerr, Peter Korošec, Tome Eftimov
1citations