EPSS 2019 : ECML/PKDD Summer School on Machine Learning and Data Mining for Geo-Spatial Data, Quality of Experience, and Human-Computer Interaction

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Call for Participation

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

https://ecmlpkdd2019.org/summerschool/home/
September 11.-16., 2019, Würzburg, Germany
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Machine learning and data mining techniques have become one of the main analysis, modeling and prediction tools for a multitude of application scenarios. The corresponding methodology becomes more sophisticated and is adapted to a wide variety of domain specific problem settings. As part of the ‘ECML PKDD Summer School’ (EPSS19), we aim to foster and support this development. For this, we provide extensive foundations in state-of-the-art machine learning and data mining 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 into domain-specific methods, algorithms, and applications. We focus on three fields of application:

* geo-spatial data and volunteered geographic information,
* quality of experience, and
* human-computer interaction.

All summer school participants will participate in joint lectures on basic concepts of machine learning and data mining 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 geo-spatial data, volunteered geographical information, human-computer interaction, natural interfaces, virtual-, augmented-, and mixed reality, social robots, quality assessment, subjective user studies and real-time interactive systems. We also cordially invite Master students, post-docs, and researchers (upon availability).

The summer school will take place in Würzburg, Germany from September 11.-16., 2019 and include topics such as (visit the summer school webpage for details concerning the three fields of application):

* Basics of machine learning and data mining
* Automated machine learning (AutoML)
* Deep neural networks

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: 12.07.2019
* Summer school: September 11.-16., 2019

Important links:

* Application: https://easychair.org/conferences/?conf=epss19
* Main Page: http://ecmlpkdd2019.org/summerschool/home/
* Speakers: http://ecmlpkdd2019.org/summerschool/tracks_and_speakers/