Marcel Wever

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 49

Top Topics

Future Directions

Machine Learning

Iterative Deepening

Top Venues

Publications

Dimitrios Iliadis, Marcel Wever, Bernard De Baets, Willem Waegeman
Hyperparameter optimization of two-branch neural networks in multi-target prediction. Appl. Soft Comput. 165 (2024)
Valentin Margraf, Marcel Wever, Sandra Gilhuber, Gabriel Marques Tavares, Thomas Seidl, Eyke Hüllermeier
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. CoRR (2024)
Pritha Gupta, Marcel Wever, Eyke Hüllermeier
Information Leakage Detection through Approximate Bayes-optimal Prediction. CoRR (2024)
Moritz Herrmann, F. Julian D. Lange, Katharina Eggensperger, Giuseppe Casalicchio, Marcel Wever, Matthias Feurer, David Rügamer, Eyke Hüllermeier, Anne-Laure Boulesteix, Bernd Bischl
Position: Why We Must Rethink Empirical Research in Machine Learning. CoRR (2024)
Marcel Wever
Automated Machine Learning for Multi-Label Classification. CoRR (2024)
David Schubert, Pritha Gupta, Marcel Wever
Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. IDA (2023)
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
PyExperimenter: Easily distribute experiments and track results. J. Open Source Softw. 8 (86) (2023)
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions. J. Artif. Intell. Res. 77 (2023)
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). IJCAI (2023)
Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever
PyExperimenter: Easily distribute experiments and track results. CoRR (2023)
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm selection on a meta level. Mach. Learn. 112 (4) (2023)
Jasmin Brandt, Marcel Wever, Dimitrios Iliadis, Viktor Bengs, Eyke Hüllermeier
Iterative Deepening Hyperband. CoRR (2023)
Marcel Wever, Miran Özdogan, Eyke Hüllermeier
Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification. GECCO (2023)
Felix Mohr, Marcel Wever
Naive automated machine learning. Mach. Learn. 112 (4) (2023)
Dimitrios Iliadis, Marcel Wever, Bernard De Baets, Willem Waegeman
Hyperparameter optimization in deep multi-target prediction. CoRR (2022)
Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
A flexible class of dependence-aware multi-label loss functions. Mach. Learn. 111 (2) (2022)
David Schubert, Pritha Gupta, Marcel Wever
Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised Datasets. CoRR (2022)
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
A Survey of Methods for Automated Algorithm Configuration. CoRR (2022)
Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney
A Survey of Methods for Automated Algorithm Configuration. J. Artif. Intell. Res. 75 (2022)
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier
Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR (2021)
Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. PAKDD (1) (2021)
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier
Algorithm Selection on a Meta Level. CoRR (2021)
Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 43 (9) (2021)
Tanja Tornede, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. GECCO (2021)
Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. CoRR (2021)
Felix Mohr, Marcel Wever
Naive Automated Machine Learning. CoRR (2021)
Marie-Luis Merten, Marcel Wever, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier
Annotation Uncertainty in the Context of Grammatical Change. CoRR (2021)
Felix Mohr, Marcel Wever
Naive Automated Machine Learning - A Late Baseline for AutoML. CoRR (2021)
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Extreme Algorithm Selection with Dyadic Feature Representation. DS (2020)
Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hüllermeier
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. IDA (2020)
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Towards Meta-Algorithm Selection. CoRR (2020)
Jonas Hanselle, Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Hybrid Ranking and Regression for Algorithm Selection. KI (2020)
Alexander Tornede, Marcel Wever, Eyke Hüllermeier
Extreme Algorithm Selection With Dyadic Feature Representation. CoRR (2020)
Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
A Flexible Class of Dependence-aware Multi-Label Loss Functions. CoRR (2020)
Marcel Wever, Lorijn van Rooijen, Heiko Hamann
Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evol. Comput. 28 (2) (2020)
Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. CoRR (2020)
Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML (2020)
Tanja Tornede, Alexander Tornede, Marcel Wever, Felix Mohr, Eyke Hüllermeier
AutoML for Predictive Maintenance: One Tool to RUL Them All. IoT Streams/ITEM@PKDD/ECML (2020)
Stefan Heid, Marcel Wever, Eyke Hüllermeier
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. CoRR (2020)
Felix Mohr, Marcel Wever, Alexander Tornede, Eyke Hüllermeier
From Automated to On-The-Fly Machine Learning. GI-Jahrestagung (2019)
Felix Mohr, Marcel Wever, Eyke Hüllermeier
Automated Machine Learning Service Composition. CoRR (2018)
Felix Mohr, Marcel Wever, Eyke Hüllermeier
Reduction Stumps for Multi-class Classification. IDA (2018)
Felix Mohr, Marcel Wever, Eyke Hüllermeier
ML-Plan: Automated machine learning via hierarchical planning. Mach. Learn. 107 (8-10) (2018)
Marcel Wever, Felix Mohr, Eyke Hüllermeier
Ensembles of evolved nested dichotomies for classification. GECCO (2018)
Felix Mohr, Marcel Wever, Eyke Hüllermeier
On-the-Fly Service Construction with Prototypes. SCC (2018)
Marcel Wever, Felix Mohr, Eyke Hüllermeier
Automated Multi-Label Classification based on ML-Plan. CoRR (2018)
Felix Mohr, Marcel Wever, Eyke Hüllermeier, Amin Faez
(WIP) Towards the Automated Composition of Machine Learning Services. SCC (2018)
Marcel Wever, Lorijn van Rooijen, Heiko Hamann
Active coevolutionary learning of requirements specifications from examples. GECCO (2017)