| Survey on automated machine learning MA Zöller, MF Huber arXiv preprint arXiv:1904.12054 9, 2019 | 64 | 2019 |
| Benchmark and Survey of Automated Machine Learning Frameworks MA Zöller, MF Huber Journal of Artificial Intelligence Research 70, 409-472, 2021 | 20 | 2021 |
| Framework for mining event correlations and time lags in large event sequences MA Zöller, M Baum, MF Huber 2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017 | 6 | 2017 |
| AVATAR-Machine Learning Pipeline Evaluation Using Surrogate Model TD Nguyen, T Maszczyk, K Musial, MA Zöller, B Gabrys International Symposium on Intelligent Data Analysis, 352-365, 2020 | 5* | 2020 |
| Linear programming based time lag identification in event sequences MF Huber, MA Zöller, M Baum Automatica 98, 14-19, 2018 | 1 | 2018 |
| Incremental Search Space Construction for Machine Learning Pipeline Synthesis MA Zöller, TD Nguyen, MF Huber arXiv preprint arXiv:2101.10951, 2021 | | 2021 |
| Computational Efficient Classification of EMG Signals using Mean Shift Clustering MA Zöller | | 2014 |
Marco HuberUniversity of StuttgartBestätigte E-Mail-Adresse bei ieee.org
