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2020 – today
- 2024
[j4]Horst Stühler
, Dennis Klau, Marc-André Zöller, Alexandre Beiderwellen Bedrikow, Christian Tutschku:
End-to-End Implementation of Automated Price Forecasting Applications. SN Comput. Sci. 5(4): 402 (2024)- [c7]Marc-André Zöller, Marius Lindauer, Marco F. Huber:
Auto-sktime: Automated Time Series Forecasting. LION 2024: 456-471 - [c6]Marc-André Zöller, Anastasiia Iurshina, Ines Röder:
Trustworthy Generative AI for Financial Services (Practitioner Track). SAIA 2024: 2:1-2:5 - 2023
- [j3]Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber:
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning. ACM Trans. Interact. Intell. Syst. 13(4): 28:1-28:39 (2023) - [c5]Horst Stühler, Marc-André Zöller, Dennis Klau, Alexandre Beiderwellen Bedrikow, Christian Tutschku:
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications. DATA 2023: 30-39 - [c4]Marc-André Zöller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber:
Automated Machine Learning for Remaining Useful Life Predictions. SMC 2023: 2907-2912 - [i8]Horst Stühler, Marc-André Zöller, Dennis Klau, Alexandre Beiderwellen Bedrikow, Christian Tutschku:
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications. CoRR abs/2304.14735 (2023) - [i7]Marc-André Zöller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber:
Automated Machine Learning for Remaining Useful Life Predictions. CoRR abs/2306.12215 (2023) - [i6]Dennis Klau, Marc-André Zöller, Christian Tutschku:
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms. CoRR abs/2310.04238 (2023) - [i5]Marc-André Zöller, Marius Lindauer, Marco F. Huber:
auto-sktime: Automated Time Series Forecasting. CoRR abs/2312.08528 (2023) - 2022
- [i4]Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber:
XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning. CoRR abs/2202.11954 (2022) - 2021
- [j2]Marc-André Zöller, Marco F. Huber:
Benchmark and Survey of Automated Machine Learning Frameworks. J. Artif. Intell. Res. 70: 409-472 (2021) - [c3]Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber:
Incremental Search Space Construction for Machine Learning Pipeline Synthesis. IDA 2021: 103-115 - [i3]Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber:
Incremental Search Space Construction for Machine Learning Pipeline Synthesis. CoRR abs/2101.10951 (2021) - 2020
- [c2]Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. IDA 2020: 352-365 - [i2]Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys:
AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model. CoRR abs/2001.11158 (2020)
2010 – 2019
- 2019
- [i1]Marc-André Zöller, Marco F. Huber:
Survey on Automated Machine Learning. CoRR abs/1904.12054 (2019) - 2018
- [j1]Marco F. Huber, Marc-Andre Zoller, Marcus Baum:
Linear programming based time lag identification in event sequences. Autom. 98: 14-19 (2018) - 2017
- [c1]Marc-Andre Zoller, Marcus Baum, Marco F. Huber:
Framework for mining event correlations and time lags in large event sequences. INDIN 2017: 805-810
Coauthor Index
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