ECML taking place from 14. to 18.9.2029

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will take place in Ghent, Belgium, from the 14nd to the 18nd of September 2020.

This event is the premier European machine learning and data mining conference and builds upon over 18 years of successful events and conferences held across Europe.

We look forward to welcome you in Ghent.


Extension of the abstract deadline of the industry track - 20 May 2020

We decided to extend the abstract submission deadline of the industry track to June 15, 2020. The date of the industry track program announcement on 3rd July 2020 remains the same.

COVID-19 contingency plans - 01 April 2020

While it is premature to make decisions, the organization of ECML-PKDD 2020 is working on COVID-19 contingency plans, in close consultation with the ECML-PKDD steering committee. What has been decided is the following:

  • The conference will not be postponed: it will take place 14-18 September 2020 as planned.
  • Thus, all accepted contributions will be published, presented, etc, as normal (although presentations might take a different form).
  • We are developing plans in case the conference needs to be organised virtually (as a last resort), or in a hybrid manner, aiming to ensure an optimal conference experience for all delegates, contributors, and sponsors.
  • Final decisions on the modalities will be taken and communicated as soon as possible, and in any case before the early registration deadline (second half of July, exact date TBC).

Extension of submission deadlines - 16 March 2020

The COVID-19 pandemic is causing delays and difficulties for many people in preparing their submissions for ECML-PKDD 2020. To give these colleagues some extra time, we decided to extend the workshop and tutorial submission deadline from 12 March to 18 March, and the full paper submission deadline from 26 March to 2 April. Note that the abstract submission deadline of 19 March remains the same and will be strictly enforced in order to avoid delays in the review process.

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