Marc-André Zöller

According to our database, Marc-André Zöller authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning.

Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber

ACM Trans. Interact. Intell. Syst., December, 2023

auto-sktime: Automated Time Series Forecasting.

Marc-André Zöller, Marius Lindauer, Marco F. Huber

CoRR, 2023

Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms.

Dennis Klau, Marc-André Zöller, Christian Tutschku

CoRR, 2023

Automated Machine Learning for Remaining Useful Life Predictions.

Marc-André Zöller, Fabian Mauthe, Peter Zeiler, Marius Lindauer, Marco F. Huber

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Benchmarking Automated Machine Learning Methods for Price Forecasting Applications.

Horst Stühler, Marc-André Zöller, Dennis Klau, Alexandre Beiderwellen Bedrikow, Christian Tutschku

Proceedings of the 12th International Conference on Data Science, 2023

2022

XAutoML: A Visual Analytics Tool for Establishing Trust in Automated Machine Learning.

Marc-André Zöller, Waldemar Titov, Thomas Schlegel, Marco F. Huber

CoRR, 2022

2021

Benchmark and Survey of Automated Machine Learning Frameworks.

Marc-André Zöller, Marco F. Huber

J. Artif. Intell. Res., 2021

Incremental Search Space Construction for Machine Learning Pipeline Synthesis.

Marc-André Zöller, Tien-Dung Nguyen, Marco F. Huber

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

2020

AVATAR - Machine Learning Pipeline Evaluation Using Surrogate Model.

Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-André Zöller, Bogdan Gabrys

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

2019

Survey on Automated Machine Learning.

Marc-André Zöller, Marco F. Huber

CoRR, 2019

2018

Linear programming based time lag identification in event sequences.

Marco F. Huber, Marc-Andre Zoller, Marcus Baum

Autom., 2018

2017

Framework for mining event correlations and time lags in large event sequences.

Marc-Andre Zoller, Marcus Baum, Marco F. Huber

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017