2021
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Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Gijsbers, Pieter; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites Inproceedings In: Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks, 2021. @inproceedings{bischl-neurips21a,
title = {OpenML Benchmarking Suites },
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Pieter Gijsbers and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2021},
booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
keywords = {}
}
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Feurer, Matthias; van Rijn, Jan N; Kadra, Arlind; Gijsbers, Pieter; Mallik, Neeratyoy; Ravi, Sahithya; Müller, Andreas; Vanschoren, Joaquin; Hutter, Frank OpenML-Python: an extensible Python API for OpenML Journal Article In: Journal of Machine Learning Research, vol. 22, no. 100, pp. 1-5, 2021. @article{feurer-jmlr21a,
title = {OpenML-Python: an extensible Python API for OpenML},
author = {Matthias Feurer and Jan N van Rijn and Arlind Kadra and Pieter Gijsbers and Neeratyoy Mallik and Sahithya Ravi and Andreas Müller and Joaquin Vanschoren and Frank Hutter},
year = {2021},
journal = {Journal of Machine Learning Research},
volume = {22},
number = {100},
pages = {1-5},
keywords = {}
}
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2019
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Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites Journal Article In: arXiv, vol. 1708.0373v2, pp. 1-6, 2019. @article{bischl-arxiv19a,
title = {OpenML Benchmarking Suites},
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2019},
journal = {arXiv},
volume = {1708.0373v2},
pages = {1-6},
keywords = {}
}
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2018
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Lindauer, M; van Rijn, J N; Kotthoff, L The Algorithm Selection Competitions 2015 and 2017 Journal Article In: Artificial Intelligence, pp. 1-35, 2018. @article{lindauer-ascomp-aij18a,
title = {The Algorithm Selection Competitions 2015 and 2017},
author = {M Lindauer and J N van Rijn and L Kotthoff},
year = {2018},
journal = {Artificial Intelligence},
pages = {1-35},
keywords = {}
}
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Abdulrahman, S M; Brazdil, P; van Rijn, J N; Vanschoren, J Speeding up algorithm selection using average ranking and active testing by introducing runtime Inproceedings In: Machine Learning, pp. 79–108, 2018. @inproceedings{abdulrahman-mlj-2018,
title = {Speeding up algorithm selection using average ranking and active testing by introducing runtime},
author = {S M Abdulrahman and P Brazdil and J N van Rijn and J Vanschoren},
year = {2018},
booktitle = {Machine Learning},
volume = {107},
pages = {79--108},
keywords = {}
}
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van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J The online performance estimation framework: heterogeneous ensemble learning for data streams Inproceedings In: Machine Learning, pp. 149–176, 2018. @inproceedings{rijn-mlj2018,
title = {The online performance estimation framework: heterogeneous ensemble learning for data streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2018},
booktitle = {Machine Learning},
volume = {107},
pages = {149--176},
keywords = {}
}
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van Rijn, J N; Hutter, F Hyperparameter Importance Across Datasets Journal Article In: SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), 2018. @article{Rijn-Arxiv2017,
title = {Hyperparameter Importance Across Datasets},
author = {J N van Rijn and F Hutter},
year = {2018},
journal = {SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018)},
keywords = {}
}
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2017
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Lindauer, Marius; van Rijn, Jan N; Kotthoff, Lars Open Algorithm Selection Challenge 2017: Setup and Scenarios Inproceedings In: Lindauer, Marius; van Rijn, Jan N; Kotthoff, Lars (Ed.): Proceedings of the Open Algorithm Selection Challenge, pp. 1–7, PMLR, Brussels, Belgium, 2017. @inproceedings{pmlr-v79-lindauer17a,
title = {Open Algorithm Selection Challenge 2017: Setup and Scenarios},
author = {Marius Lindauer and Jan N van Rijn and Lars Kotthoff},
editor = {Marius Lindauer and Jan N van Rijn and Lars Kotthoff},
year = {2017},
booktitle = {Proceedings of the Open Algorithm Selection Challenge},
volume = {79},
pages = {1--7},
publisher = {PMLR},
address = {Brussels, Belgium},
series = {Proceedings of Machine Learning Research},
keywords = {}
}
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Bischl, Bernd; Casalicchio, Giuseppe; Feurer, Matthias; Hutter, Frank; Lang, Michel; Mantovani, Rafael G; van Rijn, Jan N; Vanschoren, Joaquin OpenML Benchmarking Suites and the OpenML100 Journal Article In: arXiv, vol. 1708.0373v1, pp. 1-6, 2017. @article{bischl-arxiv17a,
title = {OpenML Benchmarking Suites and the OpenML100},
author = {Bernd Bischl and Giuseppe Casalicchio and Matthias Feurer and Frank Hutter and Michel Lang and Rafael G Mantovani and Jan N van Rijn and Joaquin Vanschoren},
year = {2017},
journal = {arXiv},
volume = {1708.0373v1},
pages = {1-6},
keywords = {}
}
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van Rijn, J N; Hutter, F An Empirical Study of Hyperparameter Importance Across Datasets Inproceedings In: Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms (AutoML 2017), pp. 97–104, 2017. @inproceedings{rijn-automl2017,
title = {An Empirical Study of Hyperparameter Importance Across Datasets},
author = {J N van Rijn and F Hutter},
year = {2017},
booktitle = {Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms (AutoML 2017)},
volume = {1998},
pages = {97--104},
keywords = {}
}
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2016
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Post, Martijn J; van der Putten, Peter; van Rijn, J N Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML Inproceedings In: Advances in Intelligent Data Analysis XV, pp. 158–170, Springer 2016. @inproceedings{Post2016,
title = {Does Feature Selection Improve Classification? A Large Scale Experiment in OpenML},
author = {Martijn J Post and Peter van der Putten and J N van Rijn},
year = {2016},
booktitle = {Advances in Intelligent Data Analysis XV},
pages = {158--170},
organization = {Springer},
keywords = {}
}
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van Rijn, J N Massively Collaborative Machine Learning PhD Thesis Leiden University, 2016. @phdthesis{Rijn2016,
title = {Massively Collaborative Machine Learning},
author = {J N van Rijn},
year = {2016},
address = {Leiden, Netherlands},
school = {Leiden University},
keywords = {}
}
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2015
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Vanschoren, J; van Rijn, J; Bischl, B; Casalicchio, G; Lang, M; Feurer, M OpenML: a Networked Science Platform for Machine Learning (Abstract) Inproceedings In: ICML 2015 MLOSS Workshop, 2015. @inproceedings{vanschoren-mloss15a,
title = {OpenML: a Networked Science Platform for Machine Learning (Abstract)},
author = {J Vanschoren and J van Rijn and B Bischl and G Casalicchio and M Lang and M Feurer},
year = {2015},
booktitle = {ICML 2015 MLOSS Workshop},
keywords = {}
}
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van Rijn, J N; Abdulrahman, S M; Brazdil, P; Vanschoren, J Fast algorithm selection using learning curves Inproceedings In: Advances in Intelligent Data Analysis XIV, pp. 298–309, Springer 2015. @inproceedings{Rijn2015,
title = {Fast algorithm selection using learning curves},
author = {J N van Rijn and S M Abdulrahman and P Brazdil and J Vanschoren},
year = {2015},
booktitle = {Advances in Intelligent Data Analysis XIV},
pages = {298--309},
organization = {Springer},
keywords = {}
}
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van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams Inproceedings In: Data Mining (ICDM), 2015 IEEE International Conference on, pp. 1003–1008, IEEE 2015. @inproceedings{Rijn2015b,
title = {Having a Blast: Meta-Learning and Heterogeneous Ensembles for Data Streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2015},
booktitle = {Data Mining (ICDM), 2015 IEEE International Conference on},
pages = {1003--1008},
organization = {IEEE},
keywords = {}
}
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van Rijn, J N; Vanschoren, J Sharing RapidMiner Workflows and Experiments with OpenML Inproceedings In: Vanschoren, Joaquin; Brazdil, Pavel; Giraud-Carrier, Christophe; Kotthoff, Lars (Ed.): Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel), pp. 93–103, Aachen, 2015. @inproceedings{Rijn2015c,
title = {Sharing RapidMiner Workflows and Experiments with OpenML},
author = {J N van Rijn and J Vanschoren},
editor = {Joaquin Vanschoren and Pavel Brazdil and Christophe Giraud-Carrier and Lars Kotthoff},
year = {2015},
booktitle = {Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection (MetaSel)},
number = {1455},
pages = {93--103},
address = {Aachen},
series = {CEUR Workshop Proceedings},
keywords = {}
}
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van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J Case study on bagging stable classifiers for data streams Inproceedings In: BENELEARN 2015, 2015. @inproceedings{Rijn2015d,
title = {Case study on bagging stable classifiers for data streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2015},
booktitle = {BENELEARN 2015},
keywords = {}
}
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van Rijn, J N; Takes, F W; Vis, J K The Complexity of Rummikub Problems Inproceedings In: BNAIC 2015: Proceedings of the 27th Benelux Conference on Artificial Intelligence, 2015. @inproceedings{van2016complexity,
title = {The Complexity of Rummikub Problems},
author = {J N van Rijn and F W Takes and J K Vis},
year = {2015},
booktitle = {BNAIC 2015: Proceedings of the 27th Benelux Conference on Artificial Intelligence},
keywords = {}
}
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Vanschoren, J; van Rijn, J N; Bischl, B Taking machine learning research online with OpenML Inproceedings In: Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, pp. 1–4, 2015. @inproceedings{vanschoren2015taking,
title = {Taking machine learning research online with OpenML},
author = {J Vanschoren and J N van Rijn and B Bischl},
year = {2015},
booktitle = {Proceedings of the 4th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications},
pages = {1--4},
keywords = {}
}
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2014
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Hoogeboom, H J; Kosters, W A; van Rijn, J N; Vis, J K Acyclic Constraint Logic and Games Journal Article In: ICGA Journal, vol. 37, no. 1, pp. 3–16, 2014. @article{hoogeboom2014acyclic,
title = {Acyclic Constraint Logic and Games},
author = {H J Hoogeboom and W A Kosters and J N van Rijn and J K Vis},
year = {2014},
journal = {ICGA Journal},
volume = {37},
number = {1},
pages = {3--16},
publisher = {IOS Press},
keywords = {}
}
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van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J Algorithm Selection on Data Streams Incollection In: Discovery Science, vol. 8777, pp. 325–336, Springer, 2014. @incollection{Rijn2014,
title = {Algorithm Selection on Data Streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2014},
booktitle = {Discovery Science},
volume = {8777},
pages = {325--336},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
keywords = {}
}
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van Rijn, J N; Vis, J K Endgame Analysis of Dou Shou Qi Journal Article In: ICGA Journal, vol. 37, no. 2, pp. 120–124, 2014. @article{van2014endgame,
title = {Endgame Analysis of Dou Shou Qi},
author = {J N van Rijn and J K Vis},
year = {2014},
journal = {ICGA Journal},
volume = {37},
number = {2},
pages = {120--124},
publisher = {IOS Press},
keywords = {}
}
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van Rijn, J N; Holmes, G; Pfahringer, B; Vanschoren, J Towards meta-learning over data streams Inproceedings In: MetaSel 2014, pp. 37–38, CEUR-WS 2014. @inproceedings{van2014towards,
title = {Towards meta-learning over data streams},
author = {J N van Rijn and G Holmes and B Pfahringer and J Vanschoren},
year = {2014},
booktitle = {MetaSel 2014},
volume = {1201},
pages = {37--38},
organization = {CEUR-WS},
keywords = {}
}
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Vanschoren, J; van Rijn, J N; Bischl, B; Torgo, L OpenML: networked science in machine learning Journal Article In: ACM SIGKDD Explorations Newsletter, vol. 15, no. 2, pp. 49–60, 2014. @article{Vanschoren2014,
title = {OpenML: networked science in machine learning},
author = {J Vanschoren and J N van Rijn and B Bischl and L Torgo},
year = {2014},
journal = {ACM SIGKDD Explorations Newsletter},
volume = {15},
number = {2},
pages = {49--60},
publisher = {ACM},
keywords = {}
}
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2013
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van Rijn, J N; Bischl, B; Torgo, L; Gao, B; Umaashankar, V; Fischer, S; Winter, P; Wiswedel, B; Berthold, M R; Vanschoren, J OpenML: A Collaborative Science Platform Incollection In: Machine Learning and Knowledge Discovery in Databases, pp. 645–649, Springer, 2013. @incollection{Rijn2013,
title = {OpenML: A Collaborative Science Platform},
author = {J N van Rijn and B Bischl and L Torgo and B Gao and V Umaashankar and S Fischer and P Winter and B Wiswedel and M R Berthold and J Vanschoren},
year = {2013},
booktitle = {Machine Learning and Knowledge Discovery in Databases},
pages = {645--649},
publisher = {Springer},
keywords = {}
}
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van Rijn, J N; Umaashankar, V; Fischer, S; Bischl, B; Torgo, L; Gao, B; Winter, P; Wiswedel, B; Berthold, M R; Vanschoren, J A RapidMiner extension for open machine learning Inproceedings In: RapidMiner Community Meeting and Conference, pp. 59–70, 2013. @inproceedings{Rijn2013b,
title = {A RapidMiner extension for open machine learning},
author = {J N van Rijn and V Umaashankar and S Fischer and B Bischl and L Torgo and B Gao and P Winter and B Wiswedel and M R Berthold and J Vanschoren},
year = {2013},
booktitle = {RapidMiner Community Meeting and Conference},
pages = {59--70},
keywords = {}
}
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van Rijn, J N; Vis, J K Complexity and retrograde analysis of the game Dou Shou Qi Inproceedings In: BNAIC 2013: Proceedings of the 25th Benelux Conference on Artificial Intelligence, Delft University of Technology (TU Delft); under the auspices of the Benelux Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS) 2013. @inproceedings{van2013complexity,
title = {Complexity and retrograde analysis of the game Dou Shou Qi},
author = {J N van Rijn and J K Vis},
year = {2013},
booktitle = {BNAIC 2013: Proceedings of the 25th Benelux Conference on Artificial Intelligence},
organization = {Delft University of Technology (TU Delft); under the auspices of the Benelux Association for Artificial Intelligence (BNVKI) and the Dutch Research School for Information and Knowledge Systems (SIKS)},
keywords = {}
}
|
