MiWoCI 2017
9. Mittweidaer Workshop for Computational Intelligence
The 9th Mittweida Workshop on Computational Intelligence (MiWoCI) is in the tradition to highlight recent trends and developments in machine learning for data analysis and visualization with main emphasis (but not exclusive) on prototype based models like learning vector quantization, self-organizing maps and neural gas. The workshop focuses on new theoretic models and problem solutions as well as interesting applications for example in bioinformatics, medicine, or car assistance systems. The topics could include problems like handling of big data, transfer learning, functional data, sparse models, or other related problems.
One particular aspect of MiWoCI is to encourage young researchers to present and to discuss their results with other young scientists as well as with senior researchers from the field.
As in the last years, we prefer to provide sufficient time for discussions. Therefore, the time for a talk is restricted to 15min. except invited talks.
Workshop dates: 24th July – 26th July 2017
Contributions can be published after the workshop in the Machine Learning Reports (MLR).
Preliminary Program
Download link to tentative schedule (revision July 23, 2017)
Social events
Monday
16:00 - 17:30 Canoeing
18:00 - 22:00 Rafting and barbecue
Tuesday
17:00 - 19:00 Climbing
19:30 - 22:00 Dinner at Dolomiti
Proceedings
Machine Learning Report - MiWoCI Workshop 2017
Here you can access the complete list of all Machine Learning Reports and instructions on how to cite the proceedings or specific articles.
Important dates
31st May 2017
- registration by email to thomas.villmann@hs-mittweida.de with subject MiWoCI2017
30th June 2017
- payment due (details below)
- submission of abstracts to fmschleif@googlemail.com with subject Submission MiWoCI2017 (pdf-file without page numbering)
Workshop fee
- 100€ by bank transfer in advance
- transfers should be made to CIID e.V.
- Volksbank Mittweida
- IBAN: DE38 8709 6124 0197 0305 26
- BIC: GEN0DEF1MIW
- the fee includes snacks and activities