Research Output per year
Personal profile
Quote
“To democratize machine learning, we need a more principled approach to experimentation, understand how to build machine learning systems, and progressively automate this process as much as possible."
Research profile
Joaquin Vanschoren is an Assistant Professor of Machine Learning at the Eindhoven University of Technology (TU/e). His research focuses on the progressive automation of machine learning. He founded and leads OpenML.org, an open science platform allowing scientists to share datasets and train many machine learning models from many software tools in a frictionless yet principled way. It also organizes all results online, providing detailed insight into the performance of machine learning techniques, and allowing a more scientific, data-driven approach to building new machine learning systems. Subsequently, he uses this knowledge to create automatic machine learning (AutoML) techniques that learn from these experiments to help people build better models, faster, or automate the process entirely.
Machine learning is the science of making computers act without being explicitly programmed. Instead, algorithms are used to find patterns in data. During his courses, Joaquin explains the foundations of machine learning algorithms work internally, understand when and how to use key concepts and techniques, and offers hands-on experience in getting them to work for yourself. Students are stimulated to engage in the key underpinnings of machine learning, and leverage this to quickly and powerfully apply this knowledge to tackle new problems.
Academic background
Joaquin Vanschoren received his PhD in Engineering from the University of Leuven, Belgium, where he also obtained an MSc in Engineering Computer Science (with honors). Research visits have taken Joaquin to IBM and Amazon Research, the Jozef Stefan Institute and the Universities of Waikato, Aberystwyth, Paris-Sud, Dortmund, Geneva, Zurich, Porto, Bournemouth, Aberdeen, and Indiana. Before joining TU/e, Joaquin was a Data Scientist at CityLife (now Joyn).
He has been keynote speaker at the European Conference on Data Analysis, Statistical Computing, and workshops at Neural Information Processing Systems (NIPS) and the International Conference on Machine Learning (ICML). He also co-organized machine learning conferences (e.g. ECMLPKDD 2013, LION 2016) and many workshops, including the AutoML Workshop series at ICML. He is co-chair of the W3C ML-Schema Community Group and a senior member of the Dutch School for Information and Knowledge Systems. Joaquin is a member of wide range of committees, including Neural Information Processing Systems, ACM SIGKDD Conference on Knowledge Discovery and Data Mining and International Joint Conferences on Neural Networks and Artificial Intelligence. He also acts as a referee for various journals, such as Machine Learning Journal, Journal of Machine Learning Research and Data Mining and Knowledge Discovery.
Affiliated with
* Philips Research
* Amazon Research
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
Network
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Research Output 2006 2019
Aslib: a benchmark library for algorithm selection
Bischl, B., Kerschke, P., Kotthoff, L., Lindauer, M., Malitsky, Y., Fréchette, A., Hoos, H., Hutter, F., Leyton-Brown, K., Tierney, K. & Vanschoren, J., 2016, In : Artificial Intelligence. 237, p. 41-58 18 p.Research output: Contribution to journal › Article › Academic › peer-review
Reduction of false arrhythmia alarms using signal selection and machine learning
Eerikäinen, L. M., Vanschoren, J., Rooijakkers, M. J., Vullings, R. & Aarts, R. M., 2016, In : Physiological Measurement. 37, 8, p. 1204-1216Research output: Contribution to journal › Article › Academic › peer-review
OpenML : networked science in machine learning
Vanschoren, J., van Rijn, J. N., Bischl, B. & Torgo, L., 2013, In : SIGKDD Explorations. 15, 2, p. 49-60 12 p.Research output: Contribution to journal › Article › Academic › peer-review
A survey of intelligent assistants for data analysis
Serban, F., Vanschoren, J., Kietz, J. U. & Bernstein, A., 2013, In : ACM Computing Surveys. 45, 3, p. 31/1-35Research output: Contribution to journal › Article › Academic › peer-review
Selecting classification algorithms with active testing
Leite, R., Brazdil, P. & Vanschoren, J., 2012, International Workshop on Machine Learning and Data Mining in Pattern Recognition. p. 117-131 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Prizes
Dutch Data Prize
Joaquin Vanschoren (Recipient), 9 Nov 2016
Recognition: Other › Discipline related › Scientific
Microsoft Azure research Award
Joaquin Vanschoren (Recipient), 13 Jul 2017
Recognition: Other › Discipline related › Professional
Amazon Research Award
Joaquin Vanschoren (Recipient), 15 Jan 2019
Recognition: Other › Discipline related › Scientific
Microsoft Azure Research Award
Joaquin Vanschoren (Recipient), 13 Jul 2016
Recognition: Other › Discipline related › Professional
Activities 2018 2018
Machine Learning, better, together.
Joaquin Vanschoren (Speaker)Activity: Talk or presentation types › Invited talk › Scientific
Democratizing and Automating Machine Learning
Joaquin Vanschoren (Speaker)Activity: Talk or presentation types › Invited talk › Scientific
Tutorial on Automatic Machine Learning
Frank Hutter (Speaker), Joaquin Vanschoren (Speaker)Activity: Talk or presentation types › Keynote talk › Scientific
Democratizing and Automating Machine Learning
Joaquin Vanschoren (Speaker)Activity: Talk or presentation types › Invited talk › Scientific
Courses
Student theses
A computational biology framework: a data analysis tool to support biomedical engineers in their research
Author: Beishuizen, T., 29 Nov 2018Supervisor: Bosnacki, D. (Supervisor 1), Cheplygina, V. (Supervisor 2), Hilbers, P. (Supervisor 2), Fletcher, G. (Supervisor 2) & Vanschoren, J. (Supervisor 2)
Student thesis: Master
Active learning for text classification
Author: Šostak, T., 24 Sep 2018Supervisor: Vanschoren, J. (Supervisor 1) & Schaefers, K. (External person) (External coach)
Student thesis: Master
Anomaly detection in wireless mesh lighting networks
Author: Chand, S., 25 Sep 2017Supervisor: Vanschoren, J. (Supervisor 1), Zappaterra, L. (External person) (External coach), Syed, E. (External person) (External coach) & Casale, P. (External coach)
Student thesis: Master
Automatic construction of machine learning pipelines
Author: Gijsbers, P., 30 Oct 2017Supervisor: Vanschoren, J. (Supervisor 1), Pechenizkiy, M. (Supervisor 2) & Buchin, K. (Supervisor 2)
Student thesis: Master
Automatic selection of outlier detection techniques
Author: Chouksey, V., 24 Sep 2018Supervisor: Vanschoren, J. (Supervisor 1), Jalba, A. (Supervisor 2) & Fahland, D. (Supervisor 2)
Student thesis: Master