Publications

Thesis

• Wever, Marcel (2021)
  Automated Machine Learning for Multi-Label Classification
  Dissertation, Universität Paderborn (full text available)
  
• Wever, Marcel Dominik (2017)
  Active Learning of User Requirements Specifications in Dynamic Software Service Markets
  Master Thesis, Universität Paderborn
  

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Journal article

• Tornede, Tanja; Tornede, Alexander; Fehring, Lukas; Gehring, Lukas; Graf, Helena; Hanselle, Jonas; Mohr, Felix; Wever, Marcel (2023)
  PyExperimenter: Easily distribute experiments and track results
  In: Journal of Open Source Software, Vol. 8, No. 84: pp. 5149
  
• Mohr, Felix; Wever, Marcel (2023)
  Naive automated machine learning
  In: Machine Learning, Vol. 112, No. 4: pp. 1131-1170
  
• Tornede, Alexander; Gehring, Lukas; Tornede, Tanja; Wever, Marcel; Hüllermeier, Eyke (2023)
  Algorithm selection on a meta level
  In: Machine Learning, Vol. 112, No. 4: pp. 1253-1286
  
• Tornede, Tanja; Tornede, Alexander; Hanselle, Jonas; Mohr, Felix; Wever, Marcel; Hüllermeier, Eyke (2023)
  Towards Green Automated Machine Learning: Status Quo and Future Directions
  In: Journal of Artificial Intelligence Research, Vol. 77: pp. 427-457
  
• Schede, Elias; Brandt, Jasmin; Tornede, Alexander; Wever, Marcel; Bengs, Viktor; Hüllermeier, Eyke; Tierney, Kevin (2022)
  A Survey of Methods for Automated Algorithm Configuration
  In: Journal of Artificial Intelligence Research, Vol. 75: pp. 425-487
  
• Hüllermeier, Eyke; Wever, Marcel; Loza Mencia, Eneldo; Fürnkranz, Johannes; Rapp, Michael (2022)
  A flexible class of dependence-aware multi-label loss functions
  In: Machine Learning, Vol. 111, No. 2: pp. 713-737 (full text available)
  
• Wever, Marcel; Tornede, Alexander; Mohr, Felix; Hüllermeier, Eyke (2021)
  AutoML for Multi-Label Classification: Overview and Empirical Evaluation
  In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, No. 9: pp. 3037-3054 (full text available)
  
• Mohr, Felix; Wever, Marcel; Tornede, Alexander; Hüllermeier, Eyke (2021)
  Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning
  In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 43, No. 9: pp. 3055-3066
  
• Wever, Marcel; van Rooijen, Lorijn; Hamann, Heiko (2020)
  Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets
  In: Evolutionary Computation, Vol. 28, No. 2: pp. 165-193
  
• Merten, Marie-Luis; Seemann, Nina; Wever, Marcel Dominik (2019)
  Grammatikwandel digital-kulturwissenschaftlich erforscht. Mittelniederdeutscher Sprachausbau im interdisziplinären Zugriff
  In: Jahrbuch des Vereins für Niederdeutsche Sprachforschung = Niederdeutsches Jahrbuch, Vol. 142: pp. 124-146
  
• Mohr, Felix; Wever, Marcel; Hüllermeier, Eyke (2018)
  ML-Plan: Automated machine learning via hierarchical planning
  In: Machine Learning, Vol. 107, No. 8-10: pp. 1495-1515
  

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Paper

• Heid, Stefan; Wever, Marcel Dominik; Hüllermeier, Eyke (2020)
  Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
  
  
• Mohr, Felix; Wever, Marcel Dominik; Hüllermeier, Eyke (2018)
  Automated Machine Learning Service Composition
  
  

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Book Section

• Hanselle, Jonas; Tornede, Alexander; Wever, Marcel; Hüllermeier, Eyke (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; Chakraborty, Tanmoy (eds.): 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; Vol. 12712. Cham: Springer. pp. 152-163
  
• Tornede, Alexander; Wever, Marcel; Hüllermeier, Eyke (2020)
  Extreme Algorithm Selection with Dyadic Feature Representation
  In: Appice, Annalisa; Tsoumakas, Grigorios; Manolopoulos, Yannis; Matwin, Stan (eds.): Discovery Science. 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings. Lecture Notes in Computer Science; Vol. 12323. Cham: Springer. pp. 309-324
  
• Wever, Marcel; Tornede, Alexander; Mohr, Felix; Hüllermeier, Eyke (2020)
  LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification
  In: Berthold, Michael; Feelders, Ad; Krempl, Georg (eds.): 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; Vol. 12080. New York, NY: Association for Computing Machinery. pp. 561-573 (full text available)
  
• Mohr, Felix; Wever, Marcel; Tornede, Alexander; Hüllermeier, Eyke (2019)
  From Automated to On-The-Fly Machine Learning
  In: David, Klaus; Geihs, Kurt; Lange, Martin; Stumme, Gerd (eds.): 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. pp. 273-274
  
• Mohr, Felix; Wever, Marcel; Hüllermeier, Eyke (2018)
  Reduction Stumps for Multi-class Classification
  In: Duivesteijn, Wouter; Siebes, Arno; Ukkonen, Antti (eds.): 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; Vol. 11191. Cham: Springer. pp. 225-237
  

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Conference Item

• Schede, Elias; Brandt, Jasmin; Tornede, Alexander; Wever, Marcel; Bengs, Viktor; Hüllermeier, Eyke; Tierney, Kevin (2023)
  A Survey of Methods for Automated Algorithm Configuration (Extended Abstract)
  Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), 19-25 August 2023, Macao, S.A.R
  
• Schubert, David; Gupta, Pritha; Wever, Marcel (2023)
  Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets
  Advances in Intelligent Data Analysis XXI, 12-14 April 2023, Louvain-la-Neuve, Belgium
  
• Wever, Marcel; Özdogan, Miran; Hüllermeier, Eyke (2023)
  Cooperative Co-Evolution for Ensembles of Nested Dichotomies for Multi-Class Classification
  Genetic and Evolutionary Computation Conference (GECCO '23), July 15-19, 2023, Lisbon, Portugal
  
• Hüllermeier, Eyke; Mohr, Felix; Tornede, Alexander; Wever, Marcel (2021)
  Automated Machine Learning, Bounded Rationality, and Rational Metareasoning
  ECMLPKDD Workshop on Automating Data Science (ADS2021), 17 September 2021, Virtual
  
• Tornede, Tanja; Tornede, Alexander; Wever, Marcel; Hüllermeier, Eyke (2021)
  Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance
  GECCO '21, Proceedings of the Genetic and Evolutionary Computation Conference Companion, 10 - 14 July, 2021, Lille, France
  
• Mohr, Felix; Wever, Marcel (2021)
  Replacing the Ex-Def Baseline in AutoML by Naive AutoML
  8th ICML Workshop on Automated Machine Learning, 2021-07-23, Virtual
  
• Tornede, Alexander; Wever, Marcel; Hüllermeier, Eyke (2020)
  Towards Meta-Algorithm Selection
  4th Workshop on Meta-Learning at NeurIPS, 11 December 2020, Virtual
  
• Tornede, Alexander; Wever, Marcel; Werner, Stefan; Mohr, Felix; Hüllermeier, Eyke (2020)
  Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis
  12th Asian Conference on Machine Learning (ACML 2020), 18-20 November 2020, Bangkok, Thailand
  
• Tornede, Tanja; Tornede, Alexander; Wever, Marcel; Mohr, Felix; Hüllermeier, Eyke (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, September 14-18, 2020, Ghent, Belgium
  
• Hanselle, Jonas; Tornede, Alexander; Wever, Marcel; Hüllermeier, Eyke (2020)
  Hybrid Ranking and Regression for Algorithm Selection
  KI 2020: Advances in Artificial Intelligence. 43rd German Conference on AI, September 21–25, 2020, Bamberg, Germany
  
• Tornede, Alexander; Wever, Marcel; Hüllermeier, Eyke (2019)
  Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. , KIT Scientific Publishing, Karlsruhe, 2019, pp. 135–146.
  29. Workshop Computational Intelligence, 28. - 29. November 2019, Dortmund, Germany
  
• Wever, Marcel; Mohr, Felix; Hüllermeier, Eyke; Hetzer, Alexander (2019)
  Towards Automated Machine Learning for Multi-Label Classification
  ECDA 2019: European Conference on Data Analysis, 18 - 20 March 2019, Bayreuth, Germany
  
• Hetzer, Alexander; Wever, Marcel; Mohr, Felix; Hüllermeier, Eyke (2019)
  Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking
  ECDA 2019: European Conference on Data Analysis, 18 - 20 March 2019, Bayreuth, Germany
  
• Wever, Marcel Dominik; Mohr, Felix; Tornede, Alexander; Hüllermeier, Eyke (2019)
  Automating Multi-Label Classification Extending ML-Plan
  6th ICML Workshop on Automated Machine Learning (AutoML 2019), June 14th 2019, Long Beach, California, USA
  
• Mohr, Felix; Hüllermeier, Eyke; Wever, Marcel (2018)
  ML-Plan for Unlimited-Length Machine Learning Pipelines
  ICML 2018 AutoML Workshop, 2018-07-10 – 2018-07-15, Stockholm, Sweden
  
• Mohr, Felix; Lettmann, Theodor; Hüllermeier, Eyke; Wever, Marcel Dominik (2018)
  Programmatic Task Network Planning
  28th International Conference on Automated Planning and Scheduling, 2018-06-24 – 2018-06-29, Delft, Netherlands
  
• Seemann, Nina; Geierhos, Michaela; Merten, Marie-Luis; Tophinke, Doris; Wever, Marcel Dominik; Hüllermeier, Eyke (2018)
  Supporting the Cognitive Process in Annotation Tasks
  40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, 2018-03-07 – 2018-03-09, Stuttgart, Germany
  
• Mohr, Felix; Wever, Marcel; Hüllermeier, Eyke (2018)
  On-the-Fly Service Construction with Prototypes
  2018 IEEE International Conference on Services Computing (SCC), 2-7 July 2018, San Francisco, CA, USA
  
• Wever, Marcel; Mohr, Felix; Hüllermeier, Eyke (2018)
  Ensembles of evolved nested dichotomies for classification
  GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference, July 15 - 19, 2018, Kyoto, Japan
  
• Mohr, Felix; Wever, Marcel; Hüllermeier, Eyke; Faez, Amin (2018)
  (WIP) Towards the Automated Composition of Machine Learning Services
  2018 IEEE International Conference on Services Computing (SCC), 2-7 July 2018, San Francisco, CA, USA
  
• Wever, Marcel Dominik; Mohr, Felix; Hüllermeier, Eyke (2017)
  Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization
  27th Workshop Computational Intelligence, 23. – 24. November 2017, Dortmund
  
• Wever, Marcel; van Rooijen, Lorijn; Hamann, Heiko (2017)
  Active coevolutionary learning of requirements specifications from examples
  GECCO '17: Genetic and Evolutionary Computation Conference, July 15 - 19, 2017, Berlin, Germany