Sitemap

SweDS2017

5th Swedish Workshop on Data Science
(SweDS 2017)

December 12-13, 2017

University of Gothenburg
Wallenberg Conference Centre
Medicinaregatan 20 A
413 90 Gothenburg

News: 

  • Poster session added (see below). Submit poster abstracts before Nov 29.
  • The Registration is now open. Register by Nov 29.
  • Papers accepted for plenary presentations announced (see below)

 

SweDS

The Swedish Workshops on Data Science allow members of a community with common interests to meet in the context of a focused and interactive discussion. SweDS 2017, the fifth Swedish Workshop on Data Science, brings together researchers, practitioners, and opinion leaders with interest in data science. The goal is to further establish this important area of research and application in Sweden, foster the exchange of ideas, and to promote collaboration. As a followup to the very successful previous editions, held at the University of Borås, Stockholm University, Blekinge Institute of Technology and Skövde we plan two days of inspiring talks, discussion sessions, and time for networking. We invite stakeholders from academia, industry, and society to share their thoughts, experiences and needs related to data science.

Confirmed Keynote Speakers:

 

Plenary presentations:

  • Nasser Mohammadiha (Zenuity): Machine Learning for Autonomous Driving: From Development to Verification
  • Ellinor Rånge (Ericsson): TBA
  • Sergey Redyuk (Högskolan i Skövde): Challenges in face expression recognition from video
  • Petter Mostad (Chalmers & GU): Exact inference for graphical models
  • Navoda Senavirathne (Högskolan i Skövde):  Recent developments on integral privacy
  • Eva García-Martín (Blekinge Institute of Technology): AVFDT: Adaptive Very Fast Decision Tree.
  • Jonatan Kallus (Chalmers & GU): Integrative analysis of genomic data: finding joint signal across subsets of groups of observations and variables
  • Lili Jiang (Umeå University): Entity-based Data Federation with Privacy Concern
  • Christian Nordahl (Blekinge Institute of Technology): Detecting abnormal behavior of elderlies by analyzing energy consumption of individual households
  • David Dodd (Gothenburg University): A Marine Spatial Data Infrastructure for Sweden
  • Slawomir Nowaczyk (Halmstad University) Knowledge Structures for Explainable Machine Learning

Organization

The workshop is organised by faculty members of the Department of Computer Science and Engineering (CSE), which is a joint department of the University of Gothenburg and Chalmers University of Technology. You can contact the organizers at sweds2017@schlieplab.org.

Organizers 

Funding

The workshop is organizes by the department of Computer Science and Engineering which is a joint department of the University of Gothenburg and Chalmers Technical University and funded by the ICT Area of Advance of Chalmers, and the IT University of GU and Chalmers, and the Applied Data Science Masters Program at GU.

 

Call for abstract submission for plenary presentations:

We invite academic researchers as well as industrial researchers and practitioners to submit short abstracts (400-500 words) in one of the following categories: (1) original research, (2) new/relevant challenge, (3) highlight presentation of published work. Abstracts will be screened and selected based on relevance and quality. The authors of accepted abstracts are given approx. 20 minutes to present (incl. questions/discussion).  

The list of topics include all areas of data science including methods from statistics and machine learning, computational science, algorithms and data structures for big data, applications of data science across all applications domains. 

Please submit your abstract at https://easychair.org/conferences/?conf=sweds2017. Include the complete author list for the presentation in the abstract and only add the presenting author in easychair.

 

Call for abstract submission to poster presentations:


We invite academic researchers as well as industrial researchers and practitioners to submit short abstracts (400-500 words) in one of the following categories: (1) original research, (2) new/relevant challenge, (3) highlight presentation of published work for poster presentations.

The list of topics include all areas of data science including methods from statistics and machine learning, computational science, algorithms and data structures for big data, applications of data science across all applications domains.

Please submit your poster abstract at https://easychair.org/conferences/?conf=sweds2017 before Nov 29. Include the complete author list for the presentation in the abstract and only add the corresponding author in easychair.

Practical information about posters

Posters will be on display throughout the workshop and there will be a poster session on the first day of the conference.

All poster boards are 90 cm wide and 120cm tall, so paper size A0 in portrait will fit. Mounting material will be provided.

 

Important Dates

  • Abstract submission deadline for plenary presentations: Oct 22, 2017
  • Poster abstract submission deadline: Nov 29, 2017
  • Notification to authors/presenters: Nov 7, 2017
  • Workshop registration deadline: Nov 29, 2017:  Register here.
  • Workshop: Dec 12 - 13, 2017
     

 

Page Manager: Alexander Schliep|Last update: 8/28/2017
Share:

University of Gothenburg uses cookies to provide you with the best possible user experience. What are cookies?