| Survey on automated machine learning MA Zöller, MF Huber arXiv preprint arXiv:1904.12054, 2019 | 58 | 2019 |
| Benchmark and Survey of Automated Machine Learning Frameworks MA Zöller, MF Huber arXiv preprint arXiv:1904.12054, 2020 | 13 | 2020 |
| 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 | 5 | 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 | 2 | 2020 |
| Linear programming based time lag identification in event sequences MF Huber, MA Zöller, M Baum Automatica 98, 14-19, 2018 | 1 | 2018 |
| Benchmark and survey of automated machine learning frameworks MA Zöller, MF Huber J Artif Intell Res 1, 1-15, 1993 | 1 | 1993 |
| AVATAR-Machine Learning Pipeline Evaluation Using Surrogate Model MA Zöller, B Gabrys Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 0 | 1 | |
| Computational Efficient Classification of EMG Signals using Mean Shift Clustering MA Zöller | | 2014 |
Marco HuberUniversity of StuttgartBestätigte E-Mail-Adresse bei ieee.org
