-------- Forwarded Message --------
Special Track on Causal Learning
of the IEEE International Conference on Smart Data Services
(SMDS'21)
5-10 September 2021
Online Virtual Conference
https://conferences.computer.org/smds/2021/
<https://conferences.computer.org/smds/2021/>
Topics covered:
- Causal learning from observational big data
- Causal learning with streaming data
- Causality and explainability
- Causally informed data analytics
- Benchmarking for causal learning
- Applications of causal learning in smart data services
Important dates (Extended Deadline)
- Normal paper submission: April 30, 2021
- Rebuttal phase: June 15 – 21, 2021
- Final notification to authors: June 30, 2021
- Camera-ready paper and registration due: July 15, 2021
All submission deadlines are AT 5:00AM UTC.
Author guidelines (full version at
https://conferences.computer.org/smds/2021/cfp/)
- Every* full paper submission *can include up to *10 pages* for
the
main contents (including all text, footnotes, figures, tables and
appendices) with additional pages for appropriate references.
- Up to* three pages* for *“Work-in-Progress” paper* submission
(including main contents and references).
- Please note that the above page limit will be applied without
exception. Papers violating the page limit will regretfully be
desk
rejected.
Full more details of the submission process are on the Call for
Papers page
on the conference website.
Please submit your SMDS paper at EasyChair.org:
https://easychair.org/conferences/?conf=ieeesmds2021
Please read the FAQ
<https://conferences.computer.org/services/2021/overview/faq.html>
before
emailing CFP inquiries to:
ieeecs.smds@gmail.com.
Special Track on Causal Learning Chairs
Huan Liu Arizona State University, Tempe, AZ,
USA
Ruocheng Guo Arizona State University, Tempe, AZ, USA
Best regards,
--
*Ruocheng Guo*
Ph.D. student in Computer Engineering
Data Mining and Machine Learning Lab
*Homepage:* www.public.asu.edu/~rguo12
*Email:* rguo12@asu.edu
Arizona State University
_______________________________________________
AISWorld mailing list
AISWorld@lists.aisnet.org