Marc Zöller

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Marco HuberUniversity of StuttgartPreverjeni e-poštni naslov na ieee.org
Tien-Dung NguyenData ScientistPreverjeni e-poštni naslov na student.uts.edu.au
Thomas SchlegelInstitute of Intelligent Interactive Ubiquitous SystemsPreverjeni e-poštni naslov na hfu.eu
Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchPreverjeni e-poštni naslov na ai.uni-hannover.de
Niclas KannengießerResearch Associate, Karlsruhe Institute of TechnologyPreverjeni e-poštni naslov na kit.edu
Felix MorsbachPhD Student @ Karlsruhe Institute of TechnologyPreverjeni e-poštni naslov na kit.edu
Frank HutterELLIS Institute Tübingen & Professor, University of Freiburg, GermanyPreverjeni e-poštni naslov na cs.uni-freiburg.de
Ali SunyaevKarlsruhe Institute of Technology (KIT)Preverjeni e-poštni naslov na kit.edu
Marcus BaumUniversity of GöttingenPreverjeni e-poštni naslov na cs.uni-goettingen.de
Bogdan GabrysProf. of Data Science, University of Technology SydneyPreverjeni e-poštni naslov na uts.edu.au
Tomasz MaszczykA*STARPreverjeni e-poštni naslov na ihpc.a-star.edu.sg
Katarzyna MusialProfessor in Network Science, University of Technology Sydney, AustraliaPreverjeni e-poštni naslov na uts.edu.au

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Marc Zöller

Uni Stuttgart

Preverjeni e-poštni naslov na gft.com

Machine Learning AutoML


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Benchmark and survey of automated machine learning frameworks MA Zöller, MF Huber Journal of artificial intelligence research 70, 409-472, 2021	609*	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	29*	2023
AVATAR--Machine Learning Pipeline Evaluation Using Surrogate Model TD Nguyen, T Maszczyk, K Musial, MA Zöller, B Gabrys arXiv preprint arXiv:2001.11158, 2020	18*	2020
Incremental search space construction for machine learning pipeline synthesis MA Zöller, TD Nguyen, MF Huber International Symposium on Intelligent Data Analysis, 103-115, 2021	16	2021
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	13	2023
Why do machine learning practitioners still use manual tuning? A qualitative study N Hasebrook, F Morsbach, N Kannengießer, J Franke, F Hutter, ... arXiv preprint arXiv:2203.01717, 2022	13	2022
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	13	2017
Practitioner motives to select hyperparameter optimization methods N Hasebrook, F Morsbach, N Kannengießer, M Zöller, J Franke, ... arXiv preprint arXiv:2203.01717, 2022	6	2022
Linear programming based time lag identification in event sequences MF Huber, MA Zöller, M Baum Automatica 98, 14-19, 2018	5	2018
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	4	2023
Auto-sktime: Automated Time Series Forecasting MA Zöller, M Lindauer, MF Huber International Conference on Learning and Intelligent Optimization, 456-471, 2024	3	2024
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	3	2023
AutoQML - A Framework for Automated Quantum Machine Learning D Klau, H Krause, D Kreplin, M Roth, CK Tutschku, MA Zöller	2	2023
Trustworthy Generative AI for Financial Services (Practitioner Track) MA Zöller, A Iurshina, I Röder Symposium on Scaling AI Assessments (SAIA 2024), 2: 1-2: 5, 2025		2025
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
Computational Efficient Classification of EMG Signals using Mean Shift Clustering MA Zöller		2014

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