Alexander Tornede
Alexander Tornede
Other namesAlexander Hetzer
Beckhoff Automation
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Cited by
Cited by
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 (TPAMI), 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, 2022
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 (TPAMI), 2021
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
Extreme Algorithm Selection with Dyadic Feature Representation
A Tornede, M Wever, E Hüllermeier
Discovery Science 2020, 309--324, 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
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
A Tornede, M Wever, S Werner, F Mohr, E Hüllermeier
12th Asian Conference on Machine Learning (ACML), 2020, 2020
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ...
arXiv preprint arXiv:2306.08107, 2023
Algorithm selection on a meta level
A Tornede, L Gehring, T Tornede, M Wever, E Hüllermeier
Machine Learning, 2022
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
Hybrid Ranking and Regression for Algorithm Selection
J Hanselle, A Tornede, M Wever, E Hüllermeier
43rd German Conference on Artificial Intelligence (KI 2020), 2020
Automating Multi-Label Classification Extending ML-Plan
M Wever, F Mohr, A Tornede, E Hüllermeier
6th ICML Workshop on Automated Machine Learning, 2019
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
A Tornede, M Wever, E Hüllermeier
29th Workshop Computational Intelligence, November 2019, 2019
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data
J Hanselle, A Tornede, M Wever, E Hüllermeier
The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining …, 2021
Towards Meta-Algorithm Selection
A Tornede, M Wever, E Hüllermeier
Workshop on Meta-Learning (MetaLearn 2020) @ NeurIPS 2020, 2020
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification
M Wever, A Tornede, F Mohr, E Hüllermeier
Symposium on Intelligent Data Analysis, 2020, 2020
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information
T Ruhkopf, A Mohan, D Deng, A Tornede, F Hutter, M Lindauer
Transactions on Machine Learning Research, 2023
Symbolic Explanations for Hyperparameter Optimization
S Segel, H Graf, A Tornede, B Bischl, M Lindauer
AutoML Conference 2023, 2023
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection
L Fehring, J Hanselle, A Tornede
Workshop on Meta-Learning (MetaLearn 2022) @ NeurIPS 2022, 2022
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
E Hüllermeier, F Mohr, A Tornede, M Wever
ECMLPKDD Workshop on Automating Data Science (ADS2021), 2021
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