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97 Publications


2019 | Conference Abstract | LibreCat-ID: 8956
Hetzer, Alexander, et al. Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. 2019.
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2019 | Conference Abstract | LibreCat-ID: 8868
Wever, Marcel Dominik, et al. Towards Automated Machine Learning for Multi-Label Classification. 2019.
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2018 | Conference Paper | LibreCat-ID: 10184
Schäfer, Dirk, and Eyke Hüllermeier. “Preference-Based Reinforcement Learning Using Dyad Ranking.” Proc. 21st Int. Conference on Discovery Science (DS), 2018, pp. 161–75.
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2018 | Conference Paper | LibreCat-ID: 3852
Wever, Marcel Dominik, et al. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” ICML 2018 AutoML Workshop, 2018.
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2018 | Conference Paper | LibreCat-ID: 2479
Mohr, Felix, et al. “(WIP) Towards the Automated Composition of Machine Learning Services.” SCC, IEEE, 2018, doi:10.1109/SCC.2018.00039.
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2018 | Conference Paper | LibreCat-ID: 10153
Mohr, Felix, et al. “Reduction Stumps for Multi-Class Classification.” Proc. 17th Int. Symposium on Intelligent Data Analysis (IDA), 2018, pp. 225–37.
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2018 | Bachelorsthesis | LibreCat-ID: 5936
Scheibl, Manuel. Learning about Learning Curves from Dataset Properties. 2018.
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2018 | Conference Paper | LibreCat-ID: 10185
Seemann, N., et al. “Supporting the Cognitive Process in Annotation Tasks.” Postersession Computerlinguistik Der 40. Jahrestagung Der Deutschen Gesellschaft Für Sprachwissenschaft, 2018.
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2018 | Conference Paper | LibreCat-ID: 10154
Mohr, Felix, et al. “(WIP) Towards the Automated Composition of Machine Learning Services.” Proc. 15th Int. Conference on Services Computing (SCC), 2018, pp. 241–44.
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2018 | Conference Paper | LibreCat-ID: 10192
Wever, Marcel Dominik, et al. “ML-Plan for Unlimited-Length Machine Learning Pipelines.” Int. Workshop on Automatic Machine Learning (AutoML) at ICML 2018, 2018.
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