CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Condense Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Message-ID:
Sender:
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Subject:
From:
ECML-PKDD 2017 <[log in to unmask]>
Date:
Thu, 19 Jan 2017 17:19:26 +0100
Content-Type:
text/plain; charset=UTF-8
MIME-Version:
1.0
Reply-To:
ECML-PKDD 2017 <[log in to unmask]>
Parts/Attachments:
text/plain (84 lines)
############################################################
European Conference on Machine Learning and Principles and Practice of
Knowledge Discovery in Databases (ECML-PKDD)
Skopje, Macedonia, September 18-22, 2017 (http://www.ecmlpkdd2017.org).
############################################################

We solicit submissions for demos for ECML PKDD 2017 in Skopje, Macedonia.
Submissions must describe working systems and be based on state-of-the-art
machine learning and data mining technology. These systems may be
innovative prototype implementations or mature systems that use machine
learning techniques and knowledge discovery processes in a real setting.
Systems that use basic statistics are not acceptable. Commercial software
systems are not acceptable.

The accepted papers for demos will be included in the conference
proceedings, to be published by Springer Verlag in the "Lecture Notes in
Artificial Intelligence" (LNAI) Series(http://www.springer.com/lncs). The
demos will be presented in a special demonstration session. At least one of
the demo submitters must register for the conference, and perform the demo
on site.

### Submission Guidelines

All aspects of the submission and notification process will be handled
online via the conference CMT submission site(
https://cmt.research.microsoft.com/ECMLPKDD2017).

Please choose the right track during the submission. Instructions
concerning the submission (except for the "reproducible research" part
which is not relevant for a demo paper), camera-ready formatting and
copyright transfer for conference papers also hold for demo papers, unless
otherwise specified.

A demonstration submission must be up to 4 pages long. It must provide
adequate information on the system's components and the way the system is
operated, including e.g. screenshots.

Submitters should keep in mind that the description of a demo has
inherently different content than a research paper submitted to the main
conference. A successful demonstration paper provides satisfactory answers
to the following questions:

* What are the innovative aspects or in what way/area does it represent the
state of the art?
* Who are the target users and why is the system interesting/useful for
them?
* If there are similar/related pieces of software, what are the advantages
and disadvantages of the presented one?

The formatting guidelines of Springer Verlag for the LNAI series apply, and
the author instructions and style files under
http://www.springer.de/comp/lncs/authors.html must be used. For inquiries
concerning submissions please contact the Demo Track Chairs.

### Important Dates

- Demo submission deadline: **Thursday, May 11, 2017**
- Notification of acceptance: **Thursday, June 22, 2017**
- Camera-ready paper due: **Thursday, July 6, 2017**
- Presentation of the live demos: **Tuesday September 19, 2017** and
**Thursday September 21, 2017**

### Contacts

For further information please contact the Demo Track Chairs (Marinka
Zitnik, Jesse Read) at [[log in to unmask]]


-- 

Nikola Simidjievski & Dragi Kocev

Publicity Chairs of ECML-PKDD 2017

    ---------------------------------------------------------------
    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2