Joaquin Vanschoren - Concepedia

Author

Joaquin Vanschoren

Eindhoven University of Technology ORCID

Also Known As

Bob Stienen, Festa, Paola, Ghorbani, Amirata, J. Vanschoren, Joaquin Vanschoren, Kılıçkaya, Mert, Mikio L. Braun, Samira Silva Santos Soares, Soldatova, Larisa, Vanschoren Joaquin

213

Publications

6.6K

Citations

H-Index

111

Concepts

All Affiliations

Eindhoven University of Technology Leiden University Universidade de São Paulo Ludwig-Maximilians-Universität München Universidade Estadual Paulista (Unesp)

About

Joaquin Vanschoren is an author at Eindhoven University of Technology specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	23	37	2.9K
2	Management	11	13	591
3	Education	3	3	68
4	Medicine	3	3	126
5	Arts	1	1	10

Joaquin Vanschoren

Publications

3.6K

Citations

H-Index

Page 1

	Year	Citations
OpenML Joaquin Vanschoren, Jan N. van Rijn, Bernd Bischl ACM SIGKDD Explorations Newsletter Computational Social ScienceEngineeringData ScienceData MiningMachine Learning Tool	2014	1.1K
ASlib: A benchmark library for algorithm selection Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Artificial Intelligence EngineeringBenchmark LibraryAlgorithmic LibraryProgram AnalysisAlgorithm Configuration	2016	207
Meta-Learning: A Survey Joaquin Vanschoren TU/e Research Portal Artificial IntelligenceEngineeringMachine LearningMeta-learningMachine Learning Tool	2018	197
Effectiveness of Random Search in SVM hyper-parameter tuning Rafael Gomes Mantovani, André Luis Debiaso Rossi, Joaquin Vanschoren, Artificial IntelligenceEngineeringMachine LearningModel TuningRandom Search	2015	133
The online performance estimation framework: heterogeneous ensemble learning for data streams Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Machine Learning	2017	130
Importance of Tuning Hyperparameters of Machine Learning Algorithms Hilde Weerts, Andreas Mueller, Joaquin Vanschoren arXiv (Cornell University) Artificial IntelligenceHyperparameter EstimationEngineeringMachine LearningData Science	2020	112
Hyper-Parameter Tuning of a Decision Tree Induction Algorithm Rafael Gomes Mantovani, Tomáš Horváth, Ricardo Cerri, Artificial IntelligenceEngineeringMachine LearningModel TuningHyperparameter Estimation	2016	98
Meta-QSAR: a large-scale application of meta-learning to drug design and discovery Iván Olier, Noureddin Sadawi, G. Richard Bickerton, Machine Learning	2017	93
Meta-features for meta-learning Adriano Rívolli, Luís P. F. Garcia, Carlos Soares, Knowledge-Based Systems Artificial IntelligenceEngineeringInformation RetrievalMachine LearningData Science	2022	90
Experiment databases Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Machine Learning	2012	83

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