| Benchmark and survey of automated machine learning frameworks MA Zöller, MF Huber Journal of artificial intelligence research 70, 409-472, 2021 | 515* | 2021 |
| XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning MA Zöller, W Titov, T Schlegel, MF Huber ACM Transactions on Interactive Intelligent Systems 13 (4), 1-39, 2023 | 17* | 2023 |
| Incremental search space construction for machine learning pipeline synthesis MA Zöller, TD Nguyen, MF Huber International Symposium on Intelligent Data Analysis, 103-115, 2021 | 13 | 2021 |
| Avatar-machine learning pipeline evaluation using surrogate model TD Nguyen, T Maszczyk, K Musial, MA Zöller, B Gabrys Advances in Intelligent Data Analysis XVIII: 18th International Symposium on …, 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 | 11 | 2017 |
| Benchmarking automated machine learning methods for price forecasting applications H Stühler, MA Zöller, D Klau, A Beiderwellen-Bedrikow, C Tutschku arXiv preprint arXiv:2304.14735, 2023 | 7 | 2023 |
| Practitioner motives to select hyperparameter optimization methods N Hasebrook, F Morsbach, N Kannengießer, M Zöller, J Franke, ... arXiv preprint arXiv:2203.01717, 2022 | 5 | 2022 |
| Linear programming based time lag identification in event sequences MF Huber, MA Zöller, M Baum Automatica 98, 14-19, 2018 | 5 | 2018 |
| Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms D Klau, M Zöller, C Tutschku arXiv preprint arXiv:2310.04238, 2023 | 2 | 2023 |
| AutoQML-a Framework for Automated Quantum Machine Learning D Klau, H Krause, D Kreplin, M Roth, CK Tutschku, MA Zöller | 1 | 2023 |
| End-to-End Implementation of Automated Price Forecasting Applications H Stühler, D Klau, MA Zöller, A Beiderwellen-Bedrikow, C Tutschku SN Computer Science 5 (4), 402, 2024 | | 2024 |
| auto-sktime: Automated Time Series Forecasting MA Zöller, M Lindauer, MF Huber arXiv preprint arXiv:2312.08528, 2023 | | 2023 |
| Automated Machine Learning for Remaining Useful Life Predictions MA Zöller, F Mauthe, P Zeiler, M Lindauer, MF Huber 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2023 | | 2023 |
| Computational Efficient Classification of EMG Signals using Mean Shift Clustering MA Zöller | | 2014 |
| AutoQML D Klau, H Krause, DA Kreplin, M Roth, C Tutschku, M Zöller | | |
| Bringing Quantum Algorithms to Automated Machine Learning D Klau, M Zöller, C Tutschku | | |
Marco HuberUniversity of Stuttgart在 ieee.org 的电子邮件经过验证
Marco HuberUniversity of Stuttgart在 ieee.org 的电子邮件经过验证
Tien-Dung NguyenData Scientist在 student.uts.edu.au 的电子邮件经过验证
Marcus BaumUniversity of Göttingen在 cs.uni-goettingen.de 的电子邮件经过验证