Jan N. van Rijn

Cited by

	All	Since 2016
Citations	1107	1015
h-index	13	12
i10-index	15	15

340

170

255

2013201420152016201720182019202020213 21 49 76 107 216 283 327 5

Co-authors

Joaquin VanschorenEindhoven University of TechnologyVerified email at tue.nl
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Luís TorgoProfessor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Pavel BrazdilProfessor at FEP, U.Porto, Member of LIAAD-INESC TecVerified email at inescporto.pt
Matthias FeurerMachine Learning group, University of FreiburgVerified email at informatik.uni-freiburg.de
Michel LangTU Dortmund; LMU MunichVerified email at statistik.tu-dortmund.de
Giuseppe CasalicchioPostdoctoral Researcher, LMU Munich, Munich Center for Machine LearningVerified email at campus.lmu.de
Andreas Christian MuellerMicrosoftVerified email at microsoft.com
Marius LindauerLeibniz University Hannover (Germany)Verified email at tnt.uni-hannover.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Peter van der PuttenAssistant Professor, LIACS, Leiden UniversityVerified email at liacs.leidenuniv.nl
Florian PfistererPhD Candidate, Ludwig Maximilian University of MunichVerified email at stat.uni-muenchen.de
Frank W. TakesLeiden University, University of AmsterdamVerified email at liacs.nl
Walter KostersAssociate professor, Universiteit LeidenVerified email at liacs.leidenuniv.nl
Hendrik Jan HoogeboomLIACS, Leiden UniversityVerified email at liacs.nl
Janek ThomasFraunhofer Institute for Integrated Circuits IISVerified email at iis.fraunhofer.de

Jan N. van Rijn

Leiden University

Verified email at liacs.leidenuniv.nl - Homepage

Machine Learning Artificial Intelligence


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OpenML: networked science in machine learning J Vanschoren, JN Van Rijn, B Bischl, L Torgo ACM SIGKDD Explorations Newsletter 15 (2), 49-60, 2014	574	2014
Fast algorithm selection using learning curves JN van Rijn, SM Abdulrahman, P Brazdil, J Vanschoren International symposium on intelligent data analysis, 298-309, 2015	59	2015
OpenML: A collaborative science platform JN Van Rijn, B Bischl, L Torgo, B Gao, V Umaashankar, S Fischer, ... Joint european conference on machine learning and knowledge discovery in …, 2013	53	2013
Algorithm selection on data streams JN van Rijn, G Holmes, B Pfahringer, J Vanschoren International Conference on Discovery Science, 325-336, 2014	52	2014
Hyperparameter importance across datasets JN Van Rijn, F Hutter Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	50	2018
The online performance estimation framework: heterogeneous ensemble learning for data streams JN van Rijn, G Holmes, B Pfahringer, J Vanschoren Machine Learning 107 (1), 149-176, 2018	46	2018
OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... arXiv:1708.03731, 2017	39*	2017
Having a blast: Meta-learning and heterogeneous ensembles for data streams JN van Rijn, G Holmes, B Pfahringer, J Vanschoren 2015 ieee international conference on data mining, 1003-1008, 2015	27	2015
The algorithm selection competitions 2015 and 2017 M Lindauer, JN van Rijn, L Kotthoff Artificial Intelligence 272, 86-100, 2019	20*	2019
Speeding up algorithm selection using average ranking and active testing by introducing runtime SM Abdulrahman, P Brazdil, JN van Rijn, J Vanschoren Machine learning 107 (1), 79-108, 2018	20	2018
Does feature selection improve classification? a large scale experiment in OpenML MJ Post, P Van Der Putten, JN Van Rijn International Symposium on Intelligent Data Analysis, 158-170, 2016	18	2016
Algorithm selection via meta-learning and sample-based active testing SM Abdulrhaman, P Brazdil, JN Van Rijn, J Vanschoren	17	2015
OpenML-Python: an extensible Python API for OpenML M Feurer, JN van Rijn, A Kadra, P Gijsbers, N Mallik, S Ravi, A Müller, ... arXiv preprint arXiv:1911.02490, 2019	13	2019
Don’t rule out simple models prematurely: a large scale benchmark comparing linear and non-linear classifiers in OpenML B Strang, P van der Putten, JN van Rijn, F Hutter International Symposium on Intelligent Data Analysis, 303-315, 2018	10	2018
Massively collaborative machine learning JN van Rijn	10	2016
Open algorithm selection challenge 2017: Setup and scenarios M Lindauer, JN van Rijn, L Kotthoff Open Algorithm Selection Challenge 2017, 1-7, 2017	9	2017
An Empirical Study of Hyperparameter Importance Across Datasets. JN Van Rijn, F Hutter AutoML@ PKDD/ECML, 91-98, 2017	9	2017
Taking machine learning research online with OpenML J Vanschoren, JN van Rijn, B Bischl Proceedings of the 4th International Workshop on Big Data, Streams and …, 2015	9	2015
Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess JN van Rijn	9	2012
Complexity and retrograde analysis of the game Dou Shou Qi JN Van Rijn, JK Vis	8	2013

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