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Alexander Tornede
Tytuł
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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
262021
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
162021
Extreme Algorithm Selection with Dyadic Feature Representation
A Tornede, M Wever, E Hüllermeier
Discovery Science 2020, 309--324, 2020
152020
AutoML for Predictive Maintenance: One Tool to RUL them all
T Tornede, A Tornede, M Wever, F Mohr, E Hüllermeier
IoTStream @ ECMLPKDD 2020, 2020
122020
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
122020
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
A Tornede, M Wever, E Hüllermeier
29th Workshop Computational Intelligence, November 2019, 2019
102019
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
92021
Hybrid Ranking and Regression for Algorithm Selection
J Hanselle, A Tornede, M Wever, E Hüllermeier
43rd German Conference on Artificial Intelligence (KI 2020), 2020
92020
Automating Multi-Label Classification Extending ML-Plan
M Wever, F Mohr, A Tornede, E Hüllermeier
6th ICML Workshop on Automated Machine Learning, 2019
82019
Algorithm selection on a meta level
A Tornede, L Gehring, T Tornede, M Wever, E Hüllermeier
Machine Learning, 2022
72022
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
Towards Meta-Algorithm Selection
A Tornede, M Wever, E Hüllermeier
Workshop on Meta-Learning (MetaLearn 2020) @ NeurIPS 2020, 2020
62020
A Survey of Methods for Automated Algorithm Configuration
E Schede, J Brandt, A Tornede, M Wever, V Bengs, E Hüllermeier, ...
Journal of Artificial Intelligence, 2022
52022
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
42021
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
42020
Machine Learning for Online Algorithm Selection under Censored Feedback
A Tornede, V Bengs, E Hüllermeier
Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI …, 2022
12022
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
E Hüllermeier, F Mohr, A Tornede, M Wever
ECMLPKDD Workshop on Automating Data Science (ADS2021), 2021
12021
From Automated to On-The-Fly Machine Learning
F Mohr, M Wever, A Tornede, E Hüllermeier
INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für …, 2019
12019
jPL: A Java-based Software Framework for Preference Learning
P Gupta, A Hetzer, T Tornede, S Gottschalk, A Kornelsen, S Osterbrink, ...
12017
PyExperimenter: Easily distribute experiments and track results
T Tornede, A Tornede, L Fehring, L Gehring, H Graf, J Hanselle, F Mohr, ...
arXiv preprint arXiv:2301.06348, 2023
2023
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