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Marcel Wever
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Cited by
Year
ML-Plan: Automated machine learning via hierarchical planning
F Mohr, M Wever, E Hüllermeier
Machine Learning, 2018
2452018
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
812021
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
562022
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
472023
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
392021
ML-Plan for unlimited-length machine learning pipelines
M Wever, F Mohr, E Hüllermeier
ICML 2018 AutoML Workshop, 2018
302018
Algorithm selection on a meta level
A Tornede, L Gehring, T Tornede, M Wever, E Hüllermeier
Machine Learning 112 (4), 1253-1286, 2023
242023
Extreme Algorithm Selection with Dyadic Feature Representation
A Tornede, M Wever, E Hüllermeier
Discovery Science 2020, 2020
222020
AutoML for Predictive Maintenance: One Tool to RUL them all
T Tornede, A Tornede, M Wever, F Mohr, E Hüllermeier
IoTStream @ ECMLPKDD 2020, 2020
212020
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
182020
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
182020
Naive Automated Machine Learning--A Late Baseline for AutoML
F Mohr, M Wever
arXiv preprint arXiv:2103.10496, 2021
17*2021
Automated Multi-Label Classification based on ML-Plan
M Wever, F Mohr, E Hüllermeier
arXiv preprint arXiv:1811.04060, 2018
162018
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
152021
Automating Multi-Label Classification Extending ML-Plan
M Wever, F Mohr, A Tornede, E Hüllermeier
6th ICML Workshop on Automated Machine Learning, 2019
142019
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
A Tornede, M Wever, F Mohr, E Hüllermeier
132019
Automated machine learning service composition
F Mohr, M Wever, E Hüllermeier
arXiv preprint arXiv:1809.00486, 2018
122018
Ensembles of Evolved Nested Dichotomies for Classification
M Wever, F Mohr, E Hüllermeier
Proceedings of the Genetic and Evolutionary Computation Conference, 561-568, 2018
102018
(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
92018
A Flexible Class of Dependence-aware Multi-Label Loss Functions
E Hüllermeier, M Wever, E Loza Mencia, J Fürnkranz, M Rapp
Machine Learning, 2022
82022
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