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Felix Mohr
Felix Mohr
Verified email at unisabana.edu.co
Title
Cited by
Cited by
Year
ML-Plan: Automated machine learning via hierarchical planning
F Mohr, M Wever, E Hüllermeier
Machine Learning 107, 1495-1515, 2018
1622018
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 43 (9), 3037-3054, 2021
272021
Ml-plan for unlimited-length machine learning pipelines
MD Wever, F Mohr, E Hüllermeier
ICML 2018 AutoML Workshop, 2018
222018
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 43 (9), 3055-3066, 2021
162021
Learning Curves for Decision Making in Supervised Machine Learning--A Survey
F Mohr, JN van Rijn
arXiv preprint arXiv:2201.12150, 2022
152022
Automated multi-label classification based on ML-Plan
M Wever, F Mohr, E Hüllermeier
arXiv preprint arXiv:1811.04060, 2018
152018
Automated online service composition
F Mohr, A Jungmann, HK Büning
2015 IEEE International Conference on Services Computing, 57-64, 2015
152015
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, 737-752, 2020
122020
AutoML for predictive maintenance: One tool to RUL them all
T Tornede, A Tornede, M Wever, F Mohr, E Hüllermeier
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020
122020
An approach towards adaptive service composition in markets of composed services
A Jungmann, F Mohr
Journal of Internet Services and Applications 6 (1), 1-18, 2015
112015
Towards model selection using learning curve cross-validation
F Mohr, JN van Rijn
8th ICML Workshop on automated machine learning (AutoML), 2021
82021
Automating multi-label classification extending ml-plan
MD Wever, F Mohr, A Tornede, E Hüllermeier
82019
Ensembles of evolved nested dichotomies for classification
M Wever, F Mohr, E Hüllermeier
Proceedings of the Genetic and Evolutionary Computation Conference, 561-568, 2018
82018
Programmatic task network planning
F Mohr, T Lettmann, E Hüllermeier, MD Wever
82018
Semi-automated software composition through generated components
F Mohr, HK Büning
Proceedings of International Conference on Information Integration and Web …, 2013
82013
Towards green automated machine learning: Status quo and future directions
T Tornede, A Tornede, J Hanselle, M Wever, F Mohr, E Hüllermeier
arXiv preprint arXiv:2111.05850, 2021
72021
Automated machine learning service composition
F Mohr, M Wever, E Hüllermeier
arXiv preprint arXiv:1809.00486, 2018
72018
Market-specific service compositions: Specification and matching
S Arifulina, F Mohr, G Engels, MC Platenius, W Schäfer
2015 IEEE World Congress on Services, 333-340, 2015
72015
Fast and informative model selection using learning curve cross-validation
F Mohr, JN van Rijn
arXiv preprint arXiv:2111.13914, 2021
62021
Automated software and service composition: a survey and evaluating review
F Mohr
Springer, 2016
62016
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