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Persoonlijk profiel

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

Vingerafdruk Verdiep u in de onderzoeksgebieden waarop Joaquin Vanschoren actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.

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Onderzoeksoutput

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, blz. 41-58 18 blz.

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 53 Citaten (Scopus)
    1 Downloads (Pure)

    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, blz. 1204-1216

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

    Open Access
  • 16 Citaten (Scopus)
    5 Downloads (Pure)

    OpenML : networked science in machine learning

    Vanschoren, J., van Rijn, J. N., Bischl, B. & Torgo, L., 2013, In : SIGKDD Explorations. 15, 2, blz. 49-60 12 blz.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 4 Downloads (Pure)

    A survey of intelligent assistants for data analysis

    Serban, F., Vanschoren, J., Kietz, J. U. & Bernstein, A., 2013, In : ACM Computing Surveys. 45, 3, blz. 31/1-35

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

  • 67 Citaten (Scopus)
    5 Downloads (Pure)

    Selecting classification algorithms with active testing

    Leite, R., Brazdil, P. & Vanschoren, J., 2012, International Workshop on Machine Learning and Data Mining in Pattern Recognition. blz. 117-131 15 blz.

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    Prijzen

    Dutch Data Prize

    Joaquin Vanschoren (Ontvanger), 9 nov 2016

    Prijs: AndersDiscipline gerelateerdWetenschappelijk

    Microsoft Azure research Award

    Joaquin Vanschoren (Ontvanger), 13 jul 2017

    Prijs: AndersDiscipline gerelateerdProfessioneel

  • Amazon Research Award

    Joaquin Vanschoren (Ontvanger), 15 jan 2019

    Prijs: AndersDiscipline gerelateerdWetenschappelijk

  • Microsoft Azure Research Award

    Joaquin Vanschoren (Ontvanger), 13 jul 2016

    Prijs: AndersDiscipline gerelateerdProfessioneel

  • Activiteiten

    • 3 Genodigd spreker
    • 1 Keynote spreker

    Machine Learning, better, together.

    Joaquin Vanschoren (Spreker)
    8 dec 2018

    Activiteit: Types gesprekken of presentatiesGenodigd sprekerWetenschappelijk

    Tutorial on Automatic Machine Learning

    Frank Hutter (Spreker), Joaquin Vanschoren (Spreker)
    3 dec 2018

    Activiteit: Types gesprekken of presentatiesKeynote sprekerWetenschappelijk

    Democratizing and Automating Machine Learning

    Joaquin Vanschoren (Spreker)
    28 aug 2018

    Activiteit: Types gesprekken of presentatiesGenodigd sprekerWetenschappelijk

    Democratizing and Automating Machine Learning

    Joaquin Vanschoren (Spreker)
    15 jun 2018

    Activiteit: Types gesprekken of presentatiesGenodigd sprekerWetenschappelijk

    Cursussen

    CSE - Web Science

    1/09/15 → …

    Cursus

    Data mining

    1/09/15 → …

    Cursus

    Knipsels

    Beyond human: How artificial intelligence is evolving all by itself

    Joaquin Vanschoren

    20/04/20

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Artificial intelligence is evolving all by itself

    Joaquin Vanschoren

    13/04/2015/04/20

    2 items van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Artificial intelligence automatically develops science

    Joaquin Vanschoren

    14/04/20

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Artificial intelligence is evolving all by itself - Science Magazine

    Joaquin Vanschoren

    13/04/20

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    4. The internet will continue to make life better

    Joaquin Vanschoren

    28/10/19

    1 item van Media-aandacht

    Pers / media: Vakinhoudelijk commentaar

    Scriptie

    A computational biology framework: a data analysis tool to support biomedical engineers in their research

    Auteur: Beishuizen, T., 29 nov 2018

    Begeleider: Bosnacki, D. (Afstudeerdocent 1), Cheplygina, V. (Afstudeerdocent 2), Hilbers, P. (Afstudeerdocent 2), Fletcher, G. (Afstudeerdocent 2) & Vanschoren, J. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Active learning for text classification

    Auteur: Šostak, T., 24 sep 2018

    Begeleider: Vanschoren, J. (Afstudeerdocent 1) & Schaefers, K. (Externe persoon) (Externe coach)

    Scriptie/masterproef: Master

    Bestand

    Anomaly detection in wireless mesh lighting networks

    Auteur: Chand, S., 25 sep 2017

    Begeleider: Vanschoren, J. (Afstudeerdocent 1), Zappaterra, L. (Externe persoon) (Externe coach), Syed, E. (Externe persoon) (Externe coach) & Casale, P. (Externe coach)

    Scriptie/masterproef: Master

    Bestand

    Automated machine learning with gradient boosting and meta-learning

    Auteur: van Hoof, J., 28 jan 2019

    Begeleider: Vanschoren, J. (Afstudeerdocent 1)

    Scriptie/masterproef: Master

    Bestand

    Automatic construction of machine learning pipelines

    Auteur: Gijsbers, P., 30 okt 2017

    Begeleider: Vanschoren, J. (Afstudeerdocent 1), Pechenizkiy, M. (Afstudeerdocent 2) & Buchin, K. (Afstudeerdocent 2)

    Scriptie/masterproef: Master

    Bestand