EPSS 2019 - ECML/PKDD Summer School (EPSS19) on Machine Learning and Data Mining for Quality of Experience, Geo-Spatial Data/Volunteered Geographic Information, and Human-Computer Interaction

Machine learning and data mining techniques have become one of the main analysis,
modeling and prediction tools for a multitude of application scenarios. The EPSS19
provides extensive foundations in state-of-the-art methods covering basic concepts as
well as deep neural networks and automated machine learning. At the same time, the
summer school features tracks to delve deeper three fields of application:
quality of experience, geo-spatial data and volunteered geographic information,
and human-computer interaction.
Participants will take part in joint lectures on basic concepts as well as in one of three
tracks for the fields of application. Besides the theoretical background, a core part of
the summer school comprises hands-on sessions and group work on concrete
research topics supervised by a tutor.
Any practitioner and Ph.D. student interested in machine learning and data mining
is invited. You will find our program especially interesting if you are working in the
field of quality assessment, subjective user studies and real-time interactive systems,
geo-spatial data, volunteered geographical information, human-computer interaction,
natural interfaces, virtual-, augmented-, and mixed reality and social robots,.
The summer school will take place in Würzburg, Germany from September 11-16. 2019.
The application for the summer school closes **01.07.2019** or if the maximum number of
participants (30) per track is reached. The participation fee for the summer school is 250 Euro.
Important dates:
- Application deadline: **01.07.2019**
- Notification of acceptance: 04.07.2019
- Registration deadline: 26.07.2019
- Summer school: September 11.-16., 2019
Important links:
- Main Page: http://ecmlpkdd2019.org/summerschool/home/
- Speakers: http://ecmlpkdd2019.org/summerschool/speakers/
- Application: http://ecmlpkdd2019.org/summerschool/application/#...