ECML/PKDD Summer School (EPSS19)
Tracks
The EPSS19 summer school has one main module on machine learning and data mining as well as three tracks focusing on specific application domains from which you can choose. These domains are:
- GEO: geo-spatial data and volunteered geographic information,
- QoE: quality of experience, and
- HCI: human-computer interaction.
For your application and the group work during the summer school, you will have to choose ONE of these application domains as your main interest. This will allow us to assign you to group sessions that best fit your profile.
Speakers
Invited Speakers
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Dr. Nico Piatkowski
University of Dortmund
Germany
On: Intelligent Transportation Systems and Where to Find Them
Main Course: Machine Learning and Data Mining
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Dr. Grégoire Montavon
TU Berlin
Germany
On: Deep Learning
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Track 1: Volunteered Geographical Information
Track 2: Quality of Experience
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Dr. Raimund Schatz
Austrian Institute of Technology
Austria
On: Quality of Experience - Measuring Quality from the End-user Perspective
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