Jan N. van Rijn - Google Scholar

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	All	Since 2015
Citations	989	926
h-index	13	11
i10-index	16	13

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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
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
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
Marius LindauerLeibniz University Hannover (Germany)Verified email at tnt.uni-hannover.de
Michel LangTU DortmundVerified email at statistik.tu-dortmund.de
Giuseppe CasalicchioPostdoctoral Researcher, LMU MunichVerified email at campus.lmu.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Andreas Christian MuellerColumbia UniversityVerified email at columbia.edu
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Peter van der PuttenResearcher, 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
André BiedenkappPhD candidate, University of FreiburgVerified email at cs.uni-freiburg.de
Walter KostersAssociate professor, Universiteit LeidenVerified email at liacs.leidenuniv.nl
Hendrik Jan HoogeboomLIACS, Leiden UniversityVerified email at liacs.nl

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	474	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	53	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	51	2013
Algorithm selection on data streams JN van Rijn, G Holmes, B Pfahringer, J Vanschoren International Conference on Discovery Science, 325-336, 2014	45	2014
Hyperparameter importance across datasets JN Van Rijn, F Hutter Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	40	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	39	2018
OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... stat 1050, 11, 2017	34	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	24	2015
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	17	2018
Algorithm selection via meta-learning and sample-based active testing SM Abdulrhaman, P Brazdil, JN Van Rijn, J Vanschoren	17	2015
The elevation of sarcoplasmic reticulum Ca2+-ATPase levels by thyroid hormone in the L6 muscle cell line is potentiated by insulin-like growth factor-I A Muller, C Van Hardeveld, WS Simonides, J Van Rijn Biochemical journal 275 (1), 35-40, 1991	17	1991
Ca²⁺ homeostasis and fast-type sarcoplasmic reticulum Ca²⁺-ATPase expression in L6 muscle cells. Role of thyroid hormone A Muller, C Van Hardeveld, WS Simonides, J Van Rijn Biochemical Journal 283 (3), 713-718, 1992	16	1992
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	13	2016
OpenML: Networked Science in Machine Learning. SIGKDD Explorations 15, 2 (2013), 49–60 J Vanschoren, JN van Rijn, B Bischl, L Torgo	11	2013
The algorithm selection competitions 2015 and 2017 M Lindauer, JN van Rijn, L Kotthoff Artificial Intelligence 272, 86-100, 2019	10	2019
Massively collaborative machine learning JN van Rijn	10	2016
Playing Games: The complexity of Klondike, Mahjong, Nonograms and Animal Chess JN van Rijn	9	2012
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	8	2018
Openml: Networked science in machine learning. SIGKDD Explorations 15 (2), 49–60 (2013) J Vanschoren, JN van Rijn, B Bischl, L Torgo	8	2018
Open algorithm selection challenge 2017: Setup and scenarios M Lindauer, JN van Rijn, L Kotthoff Open Algorithm Selection Challenge 2017, 1-7, 2017	8	2017

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