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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
1902018
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
462021
Ml-plan for unlimited-length machine learning pipelines
MD Wever, F Mohr, E Hüllermeier
ICML 2018 AutoML Workshop, 2018
262018
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
242021
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
182022
Extreme Algorithm Selection with Dyadic Feature Representation
A Tornede, M Wever, E Hüllermeier
Discovery Science 2020, 2020
182020
AutoML for Predictive Maintenance: One Tool to RUL them all
T Tornede, A Tornede, M Wever, F Mohr, E Hüllermeier
IoTStream @ ECMLPKDD 2020, 2020
172020
Automated Multi-Label Classification based on ML-Plan
M Wever, F Mohr, E Hüllermeier
arXiv preprint arXiv:1811.04060, 2018
172018
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
152020
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
142023
Algorithm selection on a meta level
A Tornede, L Gehring, T Tornede, M Wever, E Hüllermeier
Machine Learning 112 (4), 1253-1286, 2023
142023
Automating Multi-Label Classification Extending ML-Plan
M Wever, F Mohr, A Tornede, E Hüllermeier
6th ICML Workshop on Automated Machine Learning, 2019
132019
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
122021
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
122020
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
A Tornede, M Wever, F Mohr, E Hüllermeier
112019
Automated machine learning service composition
F Mohr, M Wever, E Hüllermeier
arXiv preprint arXiv:1809.00486, 2018
102018
Ensembles of Evolved Nested Dichotomies for Classification
M Wever, F Mohr, E Hüllermeier
Proceedings of the Genetic and Evolutionary Computation Conference, 561-568, 2018
92018
Programmatic Task Network Planning
F Mohr, T Lettmann, E Hüllermeier, M Wever
28th International Conference on Automated Planning and Scheduling, 2018
82018
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
S Heid, M Wever, E Hüllermeier
arXiv preprint arXiv:2008.01377, 2020
72020
(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
72018
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