Joaquin Vanschoren

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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
Frank HutterProfessor of Computer Science, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
Lars KotthoffUniversity of WyomingVerified email at uwyo.edu
André Carlos Ponce de Leon Ferreira...Artificial Inelligence Professor, University of São PauloVerified email at icmc.usp.br
Bernhard PfahringerProfessor of Computer Science, University of WaikatoVerified email at waikato.ac.nz
Geoffrey HolmesUniversity of WaikatoVerified email at waikato.ac.nz
Rafael Gomes MantovaniFederal Technology University - Paraná, campus of ApucaranaVerified email at utfpr.edu.br
Hendrik BlockeelDepartment of Computer Science, KU LeuvenVerified email at cs.kuleuven.be
Luís TorgoCanada Research Chair, Professor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
Carlos SoaresAssociate Professor, Faculdade de Engenharia, Universidade do Porto / Fraunhofer AICOS / LIACCVerified email at fep.up.pt
Larisa SoldatovaReader in Data Science, Goldsmiths, University of LondonVerified email at gold.ac.uk
Pieter GijsbersPhD Student, Eindhoven University of TechnologyVerified email at tue.nl
Andre Luis Debiaso RossiUniversidade Estadual Paulista (UNESP)Verified email at unesp.br
Bo GaoHuaweiVerified email at huawei.com
Holger HoosRWTH Aachen University, Germany • Leiden University, Netherlands • University of British ColumbiaVerified email at cs.rwth-aachen.de
Salisu Mamman Abdulrahman (PhD)Faculty Member, Kano University of Science and Technology, Wudil, KanoVerified email at kustwudil.edu.ng
Arno KnobbeLIACS, Leiden UniversityVerified email at liacs.leidenuniv.nl
Pascal KerschkeProfessor of Big Data Analytics in Transportation, TU Dresden, GermanyVerified email at tu-dresden.de
Rui LeiteLIAAD - INESC TEC / FEP, Univ. of Porto, Porto, PortugalVerified email at fep.up.pt

Joaquin Vanschoren

Eindhoven University of Technology

Verified email at tue.nl - Homepage

Artificial Intelligence Machine Learning


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Automated machine learning: methods, systems, challenges F Hutter, L Kotthoff, J Vanschoren Springer Nature, 2019	836	2019
OpenML: networked science in machine learning J Vanschoren, JN Van Rijn, B Bischl, L Torgo ACM SIGKDD Explorations Newsletter 15 (2), 49-60, 2014	827	2014
Meta-learning: A survey J Vanschoren arXiv preprint arXiv:1810.03548, 2018	391	2018
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	192	2016
An open source AutoML benchmark P Gijsbers, E LeDell, J Thomas, S Poirier, B Bischl, J Vanschoren arXiv preprint arXiv:1907.00909, 2019	142	2019
Meta-learning J Vanschoren Automated Machine Learning, 35-61, 2019	127	2019
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	125	2013
Selecting classification algorithms with active testing R Leite, P Brazdil, J Vanschoren International workshop on machine learning and data mining in pattern …, 2012	123	2012
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	122	2012
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	81	2018
Fast algorithm selection using learning curves JN Rijn, SM Abdulrahman, P Brazdil, J Vanschoren International symposium on intelligent data analysis, 298-309, 2015	80	2015
OpenML: A collaborative science platform JN Rijn, B Bischl, L Torgo, B Gao, V Umaashankar, S Fischer, P Winter, ... Joint european conference on machine learning and knowledge discovery in …, 2013	75	2013
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	74	2015
Openml benchmarking suites B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... arXiv preprint arXiv:1708.03731, 2017	72	2017
Hyper-parameter tuning of a decision tree induction algorithm RG Mantovani, T Horváth, R Cerri, J Vanschoren, AC de Carvalho 2016 5th Brazilian Conference on Intelligent Systems (BRACIS), 37-42, 2016	72	2016
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	69	2007
Algorithm selection on data streams JN Rijn, G Holmes, B Pfahringer, J Vanschoren International Conference on Discovery Science, 325-336, 2014	68	2014
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	63	2018
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery I Olier, N Sadawi, GR Bickerton, J Vanschoren, C Grosan, L Soldatova, ... Machine Learning 107 (1), 285-311, 2018	57	2018
Exposé: An ontology for data mining experiments J Vanschoren, L Soldatova International workshop on third generation data mining: Towards service …, 2010	54	2010

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