posted by organizer: mlcreativity || 3330 views || tracked by 4 users: [display]

ML4Creativity 2017 : SIGKDD 2017 Workshop on Machine Learning for Creativity

FacebookTwitterLinkedInGoogle

Link: https://ml4creativity.mybluemix.net
 
When Aug 14, 2017 - Aug 14, 2017
Where Halifax, Nova Scotia, Canada
Submission Deadline May 26, 2017
Notification Due Jun 16, 2017
Final Version Due Jun 30, 2017
Categories    machine learning   creativity   deep learning
 

Call For Papers

SIGKDD 2017 Workshop on
Machine Learning for Creativity
Halifax, Nova Scotia, Canada
August 14, 2017

https://ml4creativity.mybluemix.net/

Important Dates:
Paper submission date: May 26, 2017
Acceptance notification date: June 16, 2017
Workshop date: August 14, 2017
Summary:
The first workshop on 'Machine Learning for Creativity' is held along with SIGKDD-2017 to address one of the elusive goals of artificial intelligence - "Can Machines become creative like humans?". The goal of this workshop is to generate interest among the machine learning and data science community in this upcoming field by concentrating on applications of machine learning in creative domains

Invited Speakers:
Flavio du Pin Calmon, Harvard University
Mark Riedl, Georgia Institute of Technology
Nick Montfort, Massachusetts Institute of Technology
Topics of Interest:
Suggested topics include, but not restricted to,
Formulations/ perspectives about creativity.
Evaluation metrics for creativity.
Multi-modal systems for creativity.
Large-scale analytics with creativity understanding.
Case-studies of creative generation process.
Collaborative interfaces for creative human-computer interaction.
Survey reports or benchmark dataset
Submission Guidelines:

We solicit submission of papers of 4 to 10 pages representing reports of original research, preliminary research results, survey and dataset papers, case studies, proposals for new work, and position papers. We also seek poster submissions based on recently published work (please indicate the conference published).

Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. If accepted, at least one of the authors must attend the workshop to present the work. The submitted papers must be written in English and formatted in the double column standard according to the ACM Proceedings Template, Tighter Alternate style (http://www.acm.org/publications/proceedings-template). The papers should be in PDF format and submitted via the EasyChair submission site (https://easychair.org/conferences/?conf=creativeai17). The workshop website will archive the published papers.

Follow us:
Twitter (@ml4creativity)
Facebook (fb.me/ml4creativity)


Looking forward to see you at KDD 2017!

Anush Sankaran (IBM Research)
Karthik Sankaranarayanan (IBM Research)
Lav R. Varshney (UIUC)
Douglas Eck (Google Brain)
Kush R. Varshney (IBM Research)
Francois Pachet (Sony CSL)
Priyanka Agrawal (IBM Research)
Disha Shrivastava (IBM Research)

Related Resources

ICMLA 2019   18th IEEE International Conference on Machine Learning and Applications
KDD 2019   25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING
ICAIML 2019   【Atlantis CPCI Web of Science】2019 1st International Conference on Artificial Intelligence and Machine Learning
AAAI 2020   The Thirty-Fourth AAAI Conference on Artificial Intelligence
ISBDAI 2020   【Ei Compendex Scopus】2018 International Symposium on Big Data and Artificial Intelligence
EWRE-EI/Scopus 2019   2019 2nd International Conference on Environmental and Water Resources Engineering
FAIML 2019   2019 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2019)
CDMA 2020   6th Int’l Conference on Data Science and Machine Learning Applications (CDMA 2020)
AMME 2019   【ACM ICPS EI SCOPUS】2019 Annual Meeting on Management Engineering
ICIIP 2019   【ACM ICPS EI SCOPUS】2019 4th International Conference on Intelligent Information Processing