Joaquin Vanschoren - Google Scholar

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	All	Since 2015
Citations	2416	2102
h-index	26	25
i10-index	43	35

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200820092010201120122013201420152016201720182019202013 12 47 26 38 67 92 130 171 241 363 606 577

Co-authors

Jan N. van RijnLeiden UniversityVerified email at liacs.leidenuniv.nl
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.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
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Andre Carlos Ponce de Leon Ferreira...Professor of Computer Science, Universidade de São PauloVerified email at icmc.usp.br
Luís TorgoProfessor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
Larisa SoldatovaReader in Data Science, Goldsmiths, University of LondonVerified email at gold.ac.uk
Pascal KerschkeUniversity of MünsterVerified email at uni-muenster.de
Arno KnobbeLIACS, Leiden UniversityVerified email at liacs.leidenuniv.nl
Michel LangTU DortmundVerified email at statistik.tu-dortmund.de
Giuseppe CasalicchioPostdoctoral Researcher, LMU Munich, Munich Center for Machine LearningVerified email at campus.lmu.de
Salisu Mamman Abdulrahman (PhD)Faculty Member, Kano University of Science and Technology, Wudil, KanoVerified email at fc.up.pt
Abraham BernsteinProfessor of Computer Science, University of ZurichVerified email at ifi.uzh.ch
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
Matthias FeurerMachine Learning group, University of FreiburgVerified email at informatik.uni-freiburg.de

Joaquin Vanschoren

Eindhoven University of Technology

Verified email at tue.nl - Homepage

Artificial Intelligence Machine Learning


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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	493	2014
Automated machine learning: methods, systems, challenges F Hutter, L Kotthoff, J Vanschoren Springer Nature, 2019	227	2019
Aslib: A benchmark library for algorithm selection B Bischl, P Kerschke, L Kotthoff, M Lindauer, Y Malitsky, A Fréchette, ... Artificial Intelligence 237, 41-58, 2016	132	2016
Meta-learning: A survey J Vanschoren arXiv preprint arXiv:1810.03548, 2018	120	2018
A survey of intelligent assistants for data analysis F Serban, J Vanschoren, JU Kietz, A Bernstein ACM Computing Surveys (CSUR) 45 (3), 1-35, 2013	110	2013
Experiment databases. A new way to share, organize and learn from experiments J Vanschoren, H Blockeel, B Pfahringer, G Holmes Machine learning 87 (2), 127-158, 2012	100	2012
Selecting classification algorithms with active testing R Leite, P Brazdil, J Vanschoren International workshop on machine learning and data mining in pattern …, 2012	99	2012
Experiment databases: Towards an improved experimental methodology in machine learning H Blockeel, J Vanschoren European Conference on Principles of Data Mining and Knowledge Discovery, 6-17, 2007	65	2007
Fast algorithm selection using learning curves JN van Rijn, SM Abdulrahman, P Brazdil, J Vanschoren International symposium on intelligent data analysis, 298-309, 2015	55	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
Handbuch Forschungsdatenmanagement HC Hobohm, L Müller Bock+ Herchen, 2011	51	2011
Algorithm selection on data streams JN van Rijn, G Holmes, B Pfahringer, J Vanschoren International Conference on Discovery Science, 325-336, 2014	46	2014
Understanding machine learning performance with experiment databases J Vanschoren lirias. kuleuven. be, no, 2010	42	2010
Exposé: An ontology for data mining experiments J Vanschoren, L Soldatova International workshop on third generation data mining: Towards service …, 2010	41	2010
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	40	2018
OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... stat 1050, 11, 2017	35	2017
Data Augmentation using Conditional Generative Adversarial Networks for Leaf Counting in Arabidopsis Plants. Y Zhu, M Aoun, M Krijn, J Vanschoren, HT Campus BMVC, 324, 2018	34	2018
Reduction of false arrhythmia alarms using signal selection and machine learning LM Eerikäinen, J Vanschoren, MJ Rooijakkers, R Vullings, RM Aarts Physiological measurement 37 (8), 1204, 2016	33	2016
Meta-learning J Vanschoren Automated Machine Learning, 35-61, 2019	32	2019
Effectiveness of random search in SVM hyper-parameter tuning RG Mantovani, ALD Rossi, J Vanschoren, B Bischl, AC De Carvalho 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015	32	2015

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