Marcel Wever

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Eyke HüllermeierProfessor of Computer Science, Paderborn UniversityVerifierad e-postadress på upb.de
Felix MohrUniversidad de La Sabana - ColombiaVerifierad e-postadress på unisabana.edu.co
Alexander TornedeBeckhoff AutomationVerifierad e-postadress på beckhoff.com
Tanja TornedeLeibniz University HannoverVerifierad e-postadress på ai.uni-hannover.de
Jonas HanselleLudwig-Maximilians-Universität MünchenVerifierad e-postadress på ifi.lmu.de
Viktor BengsLMU MunichVerifierad e-postadress på lmu.de
Jasmin BrandtPhD Student, Paderborn UniversityVerifierad e-postadress på uni-paderborn.de
Dimitrios IliadisResearcher, Translational Science, VIBVerifierad e-postadress på ugent.be
Kevin TierneyBielefeld UniversityVerifierad e-postadress på uni-bielefeld.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerifierad e-postadress på stat.uni-muenchen.de
Katharina EggenspergerEarly Career Group Leader "AutoML for Science" | University of TübingenVerifierad e-postadress på uni-tuebingen.de
Matthias FeurerLMU MunichVerifierad e-postadress på stat.uni-muenchen.de
David RügamerProfessor at LMU Munich, PI at Munich Center for Machine LearningVerifierad e-postadress på stat.uni-muenchen.de
Giuseppe CasalicchioSenior Lecturer and Researcher, LMU Munich, Munich Center for Machine LearningVerifierad e-postadress på campus.lmu.de
Felix Julian David LangePhD student, LMU MunichVerifierad e-postadress på ibe.med.uni-muenchen.de
Stefan WernerSICK Sensor IntelligenceVerifierad e-postadress på sick.de
De Baets BernardGhent UniversityVerifierad e-postadress på ugent.be
Willem WaegemanGhent UniversityVerifierad e-postadress på ugent.be
Heiko HamannProfessor, University of Konstanz, GermanyVerifierad e-postadress på uni-konstanz.de
Michaela GeierhosBundeswehr University MunichVerifierad e-postadress på unibw.de

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Marcel Wever

LUHAI, Leibniz University Hannover

Verifierad e-postadress på ai.uni-hannover.de

AutoML Multi-Label Classification Hyperparameter Optimization Algorithm Selection AI


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
ML-Plan: Automated machine learning via hierarchical planning F Mohr, M Wever, E Hüllermeier Machine Learning, 2018	247	2018
AutoML for Multi-Label Classification: Overview and Empirical Evaluation M Wever, A Tornede, F Mohr, E Hüllermeier IEEE Transactions on pattern analysis and machine intelligence, 3037 - 3054, 2021	92	2021
A survey of methods for automated algorithm configuration E Schede, J Brandt, A Tornede, M Wever, V Bengs, E Hüllermeier, ... Journal of Artificial Intelligence Research 75, 425-487, 2022	61	2022
Towards green automated machine learning: Status quo and future directions T Tornede, A Tornede, J Hanselle, F Mohr, M Wever, E Hüllermeier Journal of Artificial Intelligence Research 77, 427-457, 2023	54	2023
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning F Mohr, M Wever, A Tornede, E Hüllermeier IEEE Transactions on pattern analysis and machine intelligence, 2021	45	2021
ML-Plan for unlimited-length machine learning pipelines M Wever, F Mohr, E Hüllermeier ICML 2018 AutoML Workshop, 2018	31	2018
Algorithm selection on a meta level A Tornede, L Gehring, T Tornede, M Wever, E Hüllermeier Machine Learning 112 (4), 1253-1286, 2023	27	2023
Extreme Algorithm Selection with Dyadic Feature Representation A Tornede, M Wever, E Hüllermeier Discovery Science 2020, 2020	25	2020
AutoML for Predictive Maintenance: One Tool to RUL them all T Tornede, A Tornede, M Wever, F Mohr, E Hüllermeier IoTStream @ ECMLPKDD 2020, 2020	23	2020
Hybrid Ranking and Regression for Algorithm Selection J Hanselle, A Tornede, M Wever, E Hüllermeier KI 2020: Advances in Artificial Intelligence: 43rd German Conference on AI …, 2020	21	2020
Naive Automated Machine Learning--A Late Baseline for AutoML F Mohr, M Wever arXiv preprint arXiv:2103.10496, 2021	20*	2021
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis A Tornede, M Wever, S Werner, F Mohr, E Hüllermeier Asian Conference on Machine Learning, 2020, 2020	20	2020
Coevolution of Remaining Useful Lifetime Estimation Pipelines for Automated Predictive Maintenance T Tornede, A Tornede, M Wever, E Hüllermeier Proceedings of the Genetic and Evolutionary Computation Conference, 2021	15	2021
Automated Multi-Label Classification based on ML-Plan M Wever, F Mohr, E Hüllermeier arXiv preprint arXiv:1811.04060, 2018	15	2018
Automating Multi-Label Classification Extending ML-Plan M Wever, F Mohr, A Tornede, E Hüllermeier 6th ICML Workshop on Automated Machine Learning, 2019	14	2019
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking A Tornede, M Wever, F Mohr, E Hüllermeier	13	2019
Automated machine learning service composition F Mohr, M Wever, E Hüllermeier arXiv preprint arXiv:1809.00486, 2018	11	2018
Ensembles of Evolved Nested Dichotomies for Classification M Wever, F Mohr, E Hüllermeier Proceedings of the Genetic and Evolutionary Computation Conference, 561-568, 2018	10	2018
Position: Why We Must Rethink Empirical Research in Machine Learning M Herrmann, FJD Lange, K Eggensperger, G Casalicchio, M Wever, ... Forty-first International Conference on Machine Learning, 2024	9*	2024
(WIP) Towards the Automated Composition of Machine Learning Services F Mohr, M Wever, E Hüllermeier, A Faez 2018 IEEE International Conference on Services Computing (SCC), 2018	9	2018

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