Tuesday, February 28, 2017

[DMANET] Deadline extension (firm) - International Workshop on Deep Learning for Music

*To allow more time for finishing submissions, the paper deadline for the
workshop on deep learning and music has been extended until March 12th.
This will be a firm deadline. Whoever submitted already will be able to
modify their submission until this final deadline. *

============Call for Papers============


International Workshop on Deep Learning for Music

In conjunction with the 2017 International Joint Conference on Neural
Networks

(IJCNN 2017))


18-19 May, Anchorage

More info <http://dorienherremans.com/dlm2017/>

Invited speakers

Invited speakers include Dr. Oriol Nieto (*Pandora*), Prof. Dr. Douglas Eck
(the Head of the *Google* Magenta team) (tentatively confirmed), and Dr.
Kat Agres (*A*STAR* Institute of High Performance Computing).


Submissions of Papers

Papers of up to 5 pages using the following template are welcomed for a
talk. Submissions will be evaluated according to their originality,
technical soundness, and relevance to the workshop. The guidelines outlined
in the workshop's latex template
<http://dorienherremans.com/dlm2017/dlm17template.zip> should be followed.
Contributions should be in PDF format and submitted to
d.herremans@qmul.ac.uk with the subject line: [DLM17 paper
submission]. Submissions
do not need to be anonymised. Papers will be peer-reviewed and published in
the proceedings of the workshop.


Submissions of Abstracts

Structured abstracts of max 2 pages can be submitted for a shorter talk.
The abstracts should follow the same template as the papers and will be
included in the proceedings. Abstracts should be in PDF format and
submitted to d.herremans@qmul.ac.uk with the subject line: [DLM17 abstract
submission]. Abstracts will be peer-reviewed and included in the
proceedings of the workshop.


Special Issue in Journal

Authors will be invited to submit a full paper version of their extended
abstract for a special issue in an indexed journal (such as Journal of New
Music Research or IEEE Transactions on Neural Networks (tbc)). More details
on this will be available soon.


Topics

Papers and abstracts on the application of deep learning techniques on
music are welcomed, including but not limited to:

-

Deep learning applications for computational music research
-

Modeling hierarchical and long term music structures using deep learning
-

Modeling ambiguity and preference in music
-

Software frameworks and tools for deep learning in music

More info <http://dorienherremans.com/dlm2017/>


Important Dates

Paper Submission Deadline: March 12th (extended deadline - firm)

Acceptance Notification: March 22th

Final versions due: March 30th

Workshop Date: May 18-19, 2017

Registration

Workshop registration will be handled by the main conference, please check
IJCNN for more details.

Organizers

Dorien Herremans (Queen Mary University of London, UK)

Ching-Hua Chuan (University of North-Florida, US)

Programme Committee

Maarten Grachten (Austrian Research Institute for Artificial Intelligence,
Austria)Dorien Herremans (Queen Mary University of London, UK)

Ching-Hua Chuan (University of North-Florida, US)

Louis Bigo (Université Lille 3, France)

Sebastian Stober (University of Potsdam, Germany)

More info <http://dorienherremans.com/dlm2017/>

--
Dorien Herremans, PhD
Marie-Curie Fellow
http://dorienherremans.com

Queen Mary University of London
School of Electronic Engineering and Computer Science
C4DM - Centre for Digital Music, London

Workshop on Deep Learning and Music <http://dorienherremans.com/dlm2017>,
May'17 Anchorage, Alaska.

**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************