13 Publications

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[13]
2019 | Conference Abstract | LibreCat-ID: 8956
A. Hetzer, M. D. Wever, F. Mohr, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” presented at the European Conference on Data Analysis (ECDA), Bayreuth, Germany, 2019.
LibreCat | Files available
 
[12]
2019 | Conference Abstract | LibreCat-ID: 8868
M. D. Wever, F. Mohr, E. Hüllermeier, and A. Hetzer, “Towards Automated Machine Learning for Multi-Label Classification,” presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany, 2019.
LibreCat | Files available
 
[11]
2018 | Conference Paper | LibreCat-ID: 2479
F. Mohr, M. D. Wever, E. Hüllermeier, and A. Faez, “(WIP) Towards the Automated Composition of Machine Learning Services,” in SCC, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[10]
2018 | Conference Paper | LibreCat-ID: 3852
M. D. Wever, F. Mohr, and E. Hüllermeier, “ML-Plan for Unlimited-Length Machine Learning Pipelines,” in ICML 2018 AutoML Workshop, Stockholm, Sweden, 2018.
LibreCat | Files available | Download (ext.)
 
[9]
2018 | Conference Paper | LibreCat-ID: 2471
F. Mohr, M. D. Wever, and E. Hüllermeier, “On-The-Fly Service Construction with Prototypes,” in SCC, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[8]
2018 | Conference Paper | LibreCat-ID: 2109
M. D. Wever, F. Mohr, and E. Hüllermeier, “Ensembles of Evolved Nested Dichotomies for Classification,” in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, Kyoto, Japan, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[7]
2018 | Conference Paper | LibreCat-ID: 3552
F. Mohr, M. D. Wever, and E. Hüllermeier, “Reduction Stumps for Multi-Class Classification,” in Proceedings of the Symposium on Intelligent Data Analysis, ‘s-Hertogenbosch, the Netherlands.
LibreCat | Files available | DOI | Download (ext.)
 
[6]
2018 | Conference Paper | LibreCat-ID: 2857
F. Mohr, T. Lettmann, E. Hüllermeier, and M. D. Wever, “Programmatic Task Network Planning,” in Proceedings of the 28th International Conference on Automated Planning and Scheduling, Delft, Netherlands, 2018.
LibreCat | Files available | Download (ext.)
 
[5]
2018 | Journal Article | LibreCat-ID: 3510
F. Mohr, M. D. Wever, and E. Hüllermeier, “ML-Plan: Automated Machine Learning via Hierarchical Planning,” Machine Learning, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[4]
2018 | Conference Abstract | LibreCat-ID: 1379
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M. D. Wever, and E. Hüllermeier, “Supporting the Cognitive Process in Annotation Tasks,” in Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, Stuttgart, Germany, 2018.
LibreCat | Files available | Download (ext.)
 
[3]
2017 | Conference Paper | LibreCat-ID: 1180
M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization,” in 27th Workshop Computational Intelligence, Dortmund, 2017.
LibreCat | Files available | Download (ext.)
 
[2]
2017 | Conference Paper | LibreCat-ID: 120
M. D. Wever, L. van Rooijen, and H. Hamann, “Active Coevolutionary Learning of Requirements Specifications from Examples,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2017, pp. 1327--1334.
LibreCat | Files available | DOI
 
[1]
2017 | Mastersthesis | LibreCat-ID: 119
M. D. Wever, Active Learning of User Requirement Specifications in Dynamic Software Service Markets. Universität Paderborn, 2017.
LibreCat | Files available
 

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13 Publications

Mark all

[13]
2019 | Conference Abstract | LibreCat-ID: 8956
A. Hetzer, M. D. Wever, F. Mohr, and E. Hüllermeier, “Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking,” presented at the European Conference on Data Analysis (ECDA), Bayreuth, Germany, 2019.
LibreCat | Files available
 
[12]
2019 | Conference Abstract | LibreCat-ID: 8868
M. D. Wever, F. Mohr, E. Hüllermeier, and A. Hetzer, “Towards Automated Machine Learning for Multi-Label Classification,” presented at the European Conference on Data Analytics (ECDA), Bayreuth, Germany, 2019.
LibreCat | Files available
 
[11]
2018 | Conference Paper | LibreCat-ID: 2479
F. Mohr, M. D. Wever, E. Hüllermeier, and A. Faez, “(WIP) Towards the Automated Composition of Machine Learning Services,” in SCC, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[10]
2018 | Conference Paper | LibreCat-ID: 3852
M. D. Wever, F. Mohr, and E. Hüllermeier, “ML-Plan for Unlimited-Length Machine Learning Pipelines,” in ICML 2018 AutoML Workshop, Stockholm, Sweden, 2018.
LibreCat | Files available | Download (ext.)
 
[9]
2018 | Conference Paper | LibreCat-ID: 2471
F. Mohr, M. D. Wever, and E. Hüllermeier, “On-The-Fly Service Construction with Prototypes,” in SCC, San Francisco, CA, USA, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[8]
2018 | Conference Paper | LibreCat-ID: 2109
M. D. Wever, F. Mohr, and E. Hüllermeier, “Ensembles of Evolved Nested Dichotomies for Classification,” in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, Kyoto, Japan, July 15-19, 2018, Kyoto, Japan, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[7]
2018 | Conference Paper | LibreCat-ID: 3552
F. Mohr, M. D. Wever, and E. Hüllermeier, “Reduction Stumps for Multi-Class Classification,” in Proceedings of the Symposium on Intelligent Data Analysis, ‘s-Hertogenbosch, the Netherlands.
LibreCat | Files available | DOI | Download (ext.)
 
[6]
2018 | Conference Paper | LibreCat-ID: 2857
F. Mohr, T. Lettmann, E. Hüllermeier, and M. D. Wever, “Programmatic Task Network Planning,” in Proceedings of the 28th International Conference on Automated Planning and Scheduling, Delft, Netherlands, 2018.
LibreCat | Files available | Download (ext.)
 
[5]
2018 | Journal Article | LibreCat-ID: 3510
F. Mohr, M. D. Wever, and E. Hüllermeier, “ML-Plan: Automated Machine Learning via Hierarchical Planning,” Machine Learning, 2018.
LibreCat | Files available | DOI | Download (ext.)
 
[4]
2018 | Conference Abstract | LibreCat-ID: 1379
N. Seemann, M. Geierhos, M.-L. Merten, D. Tophinke, M. D. Wever, and E. Hüllermeier, “Supporting the Cognitive Process in Annotation Tasks,” in Postersession Computerlinguistik der 40. Jahrestagung der Deutschen Gesellschaft für Sprachwissenschaft, Stuttgart, Germany, 2018.
LibreCat | Files available | Download (ext.)
 
[3]
2017 | Conference Paper | LibreCat-ID: 1180
M. D. Wever, F. Mohr, and E. Hüllermeier, “Automatic Machine Learning: Hierachical Planning Versus Evolutionary Optimization,” in 27th Workshop Computational Intelligence, Dortmund, 2017.
LibreCat | Files available | Download (ext.)
 
[2]
2017 | Conference Paper | LibreCat-ID: 120
M. D. Wever, L. van Rooijen, and H. Hamann, “Active Coevolutionary Learning of Requirements Specifications from Examples,” in Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 2017, pp. 1327--1334.
LibreCat | Files available | DOI
 
[1]
2017 | Mastersthesis | LibreCat-ID: 119
M. D. Wever, Active Learning of User Requirement Specifications in Dynamic Software Service Markets. Universität Paderborn, 2017.
LibreCat | Files available
 

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Citation Style: IEEE

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