![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Marcel Wever
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i22]Pritha Gupta, Marcel Wever, Eyke Hüllermeier:
Information Leakage Detection through Approximate Bayes-optimal Prediction. CoRR abs/2401.14283 (2024) - [i21]Marcel Wever:
Automated Machine Learning for Multi-Label Classification. CoRR abs/2402.18198 (2024) - [i20]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 abs/2405.02200 (2024) - [i19]Valentin Margraf, Marcel Wever, Sandra Gilhuber, Gabriel Marques Tavares, Thomas Seidl, Eyke Hüllermeier:
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data. CoRR abs/2406.17322 (2024) - 2023
- [j10]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: 427-457 (2023) - [j9]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): 5149 (2023) - [j8]Felix Mohr
, Marcel Wever:
Naive automated machine learning. Mach. Learn. 112(4): 1131-1170 (2023) - [j7]Alexander Tornede
, Lukas Gehring, Tanja Tornede
, Marcel Wever
, Eyke Hüllermeier
:
Algorithm selection on a meta level. Mach. Learn. 112(4): 1253-1286 (2023) - [c16]Marcel Wever
, Miran Özdogan
, Eyke Hüllermeier
:
Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification. GECCO 2023: 597-605 - [c15]David Schubert, Pritha Gupta, Marcel Wever:
Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets. IDA 2023: 392-405 - [c14]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: 6964-6968 - [i18]Tanja Tornede, Alexander Tornede, Lukas Fehring, Lukas Gehring, Helena Graf, Jonas Hanselle, Felix Mohr, Marcel Wever:
PyExperimenter: Easily distribute experiments and track results. CoRR abs/2301.06348 (2023) - [i17]Jasmin Brandt, Marcel Wever, Dimitrios Iliadis, Viktor Bengs, Eyke Hüllermeier:
Iterative Deepening Hyperband. CoRR abs/2302.00511 (2023) - 2022
- [b1]Marcel Wever:
Automated machine learning for multi-label classification. University of Paderborn, Germany, 2022 - [j6]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: 425-487 (2022) - [j5]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): 713-737 (2022) - [i16]Elias Schede, Jasmin Brandt, Alexander Tornede, Marcel Wever, Viktor Bengs, Eyke Hüllermeier, Kevin Tierney:
A Survey of Methods for Automated Algorithm Configuration. CoRR abs/2202.01651 (2022) - [i15]Dimitrios Iliadis, Marcel Wever, Bernard De Baets, Willem Waegeman:
Hyperparameter optimization in deep multi-target prediction. CoRR abs/2211.04362 (2022) - [i14]David Schubert, Pritha Gupta, Marcel Wever:
Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised Datasets. CoRR abs/2211.13681 (2022) - 2021
- [j4]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): 3037-3054 (2021) - [j3]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): 3055-3066 (2021) - [c13]Tanja Tornede
, Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. GECCO 2021: 368-376 - [c12]Jonas Hanselle
, Alexander Tornede
, Marcel Wever
, Eyke Hüllermeier
:
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data. PAKDD (1) 2021: 152-163 - [i13]Felix Mohr, Marcel Wever:
Naive Automated Machine Learning - A Late Baseline for AutoML. CoRR abs/2103.10496 (2021) - [i12]Marie-Luis Merten, Marcel Wever, Michaela Geierhos, Doris Tophinke, Eyke Hüllermeier:
Annotation Uncertainty in the Context of Grammatical Change. CoRR abs/2105.07270 (2021) - [i11]Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever, Eyke Hüllermeier:
Algorithm Selection on a Meta Level. CoRR abs/2107.09414 (2021) - [i10]Eyke Hüllermeier, Felix Mohr, Alexander Tornede, Marcel Wever:
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning. CoRR abs/2109.04744 (2021) - [i9]Tanja Tornede, Alexander Tornede, Jonas Hanselle, Marcel Wever, Felix Mohr, Eyke Hüllermeier:
Towards Green Automated Machine Learning: Status Quo and Future Directions. CoRR abs/2111.05850 (2021) - [i8]Felix Mohr, Marcel Wever:
Naive Automated Machine Learning. CoRR abs/2111.14514 (2021) - 2020
- [j2]Marcel Wever
, Lorijn van Rooijen, Heiko Hamann:
Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evol. Comput. 28(2): 165-193 (2020) - [c11]Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier:
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. ACML 2020: 737-752 - [c10]Alexander Tornede
, Marcel Wever
, Eyke Hüllermeier
:
Extreme Algorithm Selection with Dyadic Feature Representation. DS 2020: 309-324 - [c9]Marcel Wever
, Alexander Tornede, Felix Mohr, Eyke Hüllermeier:
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. IDA 2020: 561-573 - [c8]Jonas Hanselle
, Alexander Tornede
, Marcel Wever
, Eyke Hüllermeier
:
Hybrid Ranking and Regression for Algorithm Selection. KI 2020: 59-72 - [c7]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: 106-118 - [i7]Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Extreme Algorithm Selection With Dyadic Feature Representation. CoRR abs/2001.10741 (2020) - [i6]Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr, Eyke Hüllermeier:
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis. CoRR abs/2007.02816 (2020) - [i5]Stefan Heid, Marcel Wever, Eyke Hüllermeier:
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. CoRR abs/2008.01377 (2020) - [i4]Eyke Hüllermeier, Marcel Wever, Eneldo Loza Mencía, Johannes Fürnkranz, Michael Rapp
:
A Flexible Class of Dependence-aware Multi-Label Loss Functions. CoRR abs/2011.00792 (2020) - [i3]Alexander Tornede, Marcel Wever, Eyke Hüllermeier:
Towards Meta-Algorithm Selection. CoRR abs/2011.08784 (2020)
2010 – 2019
- 2019
- [c6]Felix Mohr, Marcel Wever
, Alexander Tornede, Eyke Hüllermeier:
From Automated to On-The-Fly Machine Learning. GI-Jahrestagung 2019: 273-274 - 2018
- [j1]Felix Mohr, Marcel Wever
, Eyke Hüllermeier:
ML-Plan: Automated machine learning via hierarchical planning. Mach. Learn. 107(8-10): 1495-1515 (2018) - [c5]Felix Mohr, Marcel Wever
, Eyke Hüllermeier:
On-the-Fly Service Construction with Prototypes. SCC 2018: 225-232 - [c4]Felix Mohr, Marcel Wever
, Eyke Hüllermeier, Amin Faez:
(WIP) Towards the Automated Composition of Machine Learning Services. SCC 2018: 241-244 - [c3]Marcel Wever
, Felix Mohr, Eyke Hüllermeier:
Ensembles of evolved nested dichotomies for classification. GECCO 2018: 561-568 - [c2]Felix Mohr, Marcel Wever
, Eyke Hüllermeier:
Reduction Stumps for Multi-class Classification. IDA 2018: 225-237 - [i2]Felix Mohr, Marcel Wever, Eyke Hüllermeier:
Automated Machine Learning Service Composition. CoRR abs/1809.00486 (2018) - [i1]Marcel Wever, Felix Mohr, Eyke Hüllermeier:
Automated Multi-Label Classification based on ML-Plan. CoRR abs/1811.04060 (2018) - 2017
- [c1]Marcel Wever
, Lorijn van Rooijen, Heiko Hamann:
Active coevolutionary learning of requirements specifications from examples. GECCO 2017: 1327-1334
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-23 21:56 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint