posted by user: SpiyasenCityU || 932 views || tracked by 2 users: [display]

ISCMA 2019 : ‘Art Machines: International Symposium on Computational Media Art.’

FacebookTwitterLinkedInGoogle

Link: https://www.cityu.edu.hk/iscma/
 
When Jan 4, 2019 - Jan 7, 2019
Where Hong Kong
Submission Deadline Sep 1, 2018
 

Call For Papers

We are now calling for papers for the upcoming symposium, ‘Art Machines: International Symposium on Computational Media Art’ (ISCMA), which will take place between 4th-7th January 2019 at the School of Creative Media, City University of Hong Kong. Art Machines will bring together Academics, Artists and Professionals in the field of Computational Media Art in this four-day symposium whose core theme will be the topic of Machine Learning and Art.

The submission deadline has been extended to 1st September 2018. To learn more about the Symposium and the submission formats, please visit our website and the 'Submission Types' webpage. For enquiries, please contact us at (852) 34428049 or via email smpapers@cityu.edu.hk.

Related Resources

Art Machines 2021   Art Machines 2: International Symposium on Machine Learning and Art 2021
ICWSM 2021   International Conference on Web and Social Media
RDSM 2020   International Workshop on Rumours and Deception in Social Media
SOFSEM 2021   47th International Conference on Current Trends in Theory and Practice of Computer Science
NAACL-HLT 2021   2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics
EAIADS 2020   Empowering Artificial Intelligence in Data Science
IRSMM 2020   MDPI Information Special Issue: Information Retrieval and Social Media Mining
Computational Econometrics and Finance 2021   MDPI Econometrics (ISSN 2225-1146) - Special Issue of Topics in Computational Econometrics and Finance: Theory and Applications - *Waivers could be granted for strong papers.*
SNMAM 2020   Social Network and Media Analysis and Mining
AlCoB 2020 & 2021   7th-8th International Conference on Algorithms for Computational Biology