Anzahl der Publikationen: 42
Hochschulschrift
Zeitschriftenartikel
Tornede, Tanja ORCID: https://orcid.org/0000-0001-9954-462X; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Fehring, Lukas ORCID: https://orcid.org/0000-0001-8057-4650; Gehring, Lukas; Graf, Helena ORCID: https://orcid.org/0000-0001-9447-0609; Hanselle, Jonas ORCID: https://orcid.org/0000-0002-1231-4985; Mohr, Felix ORCID: https://orcid.org/0000-0002-9293-2424 und Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818
(20. April 2023):
PyExperimenter: Easily distribute experiments and track results.
In: Journal of Open Source Software, Bd. 8, Nr. 84: S. 5149
[PDF, 236kB]
Tornede, Alexander; Gehring, Lukas; Tornede, Tanja; Wever, Marcel und Huellermeier, Eyke
(2022):
Algorithm selection on a meta level.
In: Machine Learning, Bd. 112, Nr. 4: S. 1253-1286
Buchbeitrag
Hanselle, Jonas; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Mai 2021):
Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data.
In: Karlapalem, Kamal; Cheng, Hong; Ramakrishnan, Naren; Agrawal, R. K.; Krishna Reddy, P.; Srivastava, Jaideep und Chakraborty, Tanmoy (Hrsg.): (2021):
Advances in Knowledge Discovery and Data Mining 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part I. Lecture Notes in Computer Science, Bd. 12712. Cham: Springer. S. 152-163
[PDF, 532kB]
Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Oktober 2020):
Extreme Algorithm Selection with Dyadic Feature Representation.
In: Appice, Annalisa; Tsoumakas, Grigorios; Manolopoulos, Yannis und Matwin, Stan (Hrsg.): (2021):
Discovery Science. 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings. Lecture Notes in Computer Science, Bd. 12323. Cham: Springer. S. 309-324
[PDF, 213kB]
Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Mohr, Felix und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(April 2020):
LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification.
In: Berthold, Michael; Feelders, Ad und Krempl, Georg (Hrsg.): (2020):
Advances in Intelligent Data Analysis XVIII. 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings. Lecture Notes in Computer Science, Bd. 12080. New York, NY: Association for Computing Machinery. S. 561-573
[PDF, 425kB]
Mohr, Felix; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2019):
From Automated to On-The-Fly Machine Learning.
In: David, Klaus; Geihs, Kurt; Lange, Martin und Stumme, Gerd (Hrsg.): (2021):
Informatik 2019. 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, Konferenzbeiträge, der 49. Jahrestagung der Gesellschaft für Informatik, 23.- 26.9.2019 Kassel, Deutschland. Bonn: Gesellschaft für Informatik. S. 273-274
[PDF, 123kB]
Mohr, Felix; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2018):
Reduction Stumps for Multi-class Classification.
In: Duivesteijn, Wouter; Siebes, Arno und Ukkonen, Antti (Hrsg.): (2020):
Advances in Intelligent Data Analysis XVII. 17th International Symposium, IDA 2018, ’s-Hertogenbosch, The Netherlands, October 24–26, 2018, Proceedings. Lecture Notes in Computer Science, Bd. 11191. Cham: Springer. S. 225-237
Konferenzbeitrag
Fischer, Raphael ORCID: https://orcid.org/0000-0002-1808-5773; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Buschjäger, Sebastian ORCID: https://orcid.org/0000-0002-2780-3618 und Liebig, Thomas ORCID: https://orcid.org/0000-0002-9841-1101
(September 2024):
MetaQuRe: Meta-learning from Model Quality and Resource Consumption.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Vilnius, Lithuania, 9. - 13. September 2024.
In: Machine Learning and Knowledge Discovery in Databases Part VII, Proc. ECML PKDD 2024,
Bd. 14947, Nr. 14947
Springer Cham. S. 209-226
Herrmann, Moritz ORCID: https://orcid.org/0000-0002-4893-5812; Lange, F. Julian D.; Eggensperger, Katharina; Casalicchio, Giuseppe; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Feurer, Matthias; Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Boulesteix, Anne-Laure und Bischl, Bernd
(Juli 2024):
Position: Why We Must Rethink Empirical Research in Machine Learning.
41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024.
In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research
Bd. 235
PMLR. S. 18228-18247
[PDF, 334kB]
Schede, Elias; Brandt, Jasmin; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Bengs, Viktor ORCID: https://orcid.org/0000-0001-6988-6186; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Tierney, Kevin
(19. August 2023):
A Survey of Methods for Automated Algorithm Configuration (Extended Abstract).
Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), Macao, S.A.R, 19-25 August 2023.
In: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence,
S. 6964-6968
Schubert, David; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633 und Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818
(April 2023):
Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets.
Advances in Intelligent Data Analysis XXI, Louvain-la-Neuve, Belgium, 12-14 April 2023.
Crémilleux, Bruno; Hess, Sibylle und Nijssen, Siegfried (Hrsg.):
Cham: Springer Nature Switzerland. S. 392-405
[PDF, 599kB]
Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Özdogan, Miran und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2023):
Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification.
Genetic and Evolutionary Computation Conference (GECCO '23), Lisbon, Portugal, July 15-19, 2023.
In: Proceedings of the Genetic and Evolutionary Computation Conference,
New York, NY, USA: Association for Computing Machinery.
597–605
Tornede, Tanja ORCID: https://orcid.org/0000-0001-9954-462X; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Juli 2021):
Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance.
GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion, Lille, France, 10 - 14 July, 2021.
Chicano, Francisco (Hrsg.):
In: Proceedings of the Genetic and Evolutionary Computation Conference,
New York, NY: Association for Computing Machinery. S. 368-376
Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Werner, Stefan; Mohr, Felix und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2020):
Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis.
12th Asian Conference on Machine Learning (ACML 2020), Bangkok, Thailand, 18-20 November 2020.
Jialin Pan, Sinno und Sugiyama, Masashi (Hrsg.):
In: Proceedings of the 12th Asian Conference on Machine Learning (ACML 2020),
Bd. 129
S. 737-752
[PDF, 390kB]
Hanselle, Jonas; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2020):
Hybrid Ranking and Regression for Algorithm Selection.
KI 2020: Advances in Artificial Intelligence. 43rd German Conference on AI, Bamberg, Germany, September 21–25, 2020.
Schmid, Ute; Klügl, Franziska und Wolter, Diedrich (Hrsg.):
In: KI 2020: Advances in Artificial Intelligence, Proceedings, Lecture Notes in Computer Science
Bd. 12325
Cham: Springer. S. 59-72
[PDF, 377kB]
Tornede, Tanja; Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Mohr, Felix ORCID: https://orcid.org/0000-0002-9293-2424 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(September 2020):
AutoML for Predictive Maintenance: One Tool to RUL Them All.
Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020.
Gama, Joao (Hrsg.):
In: IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, Septem,
Bd. 1325
Cham: Springer. S. 106-118
Tornede, Alexander ORCID: https://orcid.org/0000-0002-2415-2186; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(November 2019):
Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. , KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.
29. Workshop Computational Intelligence, Dortmund, Germany, 28. - 29. November 2019.
Hoffmann, Frank; Hüllermeier, Eyke und Mikut, Ralf (Hrsg.):
In: Proceedings - 29. Workshop Computational Intelligence, Dortmund, 28. - 29. November 2019, KIT Scientific Publishing, Karlsruhe, 2019,
Karlsruhe: KIT Scientific Publishing. S. 135-146
[PDF, 812kB]
Mohr, Felix; Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108 und Faez, Amin
(2018):
(WIP) Towards the Automated Composition of Machine Learning Services.
2018 IEEE International Conference on Services Computing (SCC), San Francisco, CA, USA, 2-7 July 2018.
In: 2018 IEEE International Conference on Services Computing : IEEE SCC 2018 : part of the 2018 IEEE World Congress on Services : 2-7 July 2018, San Francisco, California, USA : proceedings,
Piscataway, NJ: IEEE. S. 241-244
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