1st Call for Papers
1st Call for special sessions, workshops, demonstrations
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ICANN 2014: 24th Annual Conference on Artificial Neural Networks
15 - 19 September 2014, University of Hamburg, Germany
http://icann2014.org/
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The International Conference on Artificial Neural Networks (ICANN)
is the annual flagship conference of the European Neural Network
Society (ENNS). In 2014 the University of Hamburg will organize
the 24th ICANN Conference from 15th to 19th September 2014 in
Hamburg, Germany.
KEYNOTE SPEAKERS:
Christopher M. Bishop (Microsoft Research, Cambridge, UK)
Yann LeCun (New York University, NY, USA)
Kevin Gurney (University of Sheffield, Sheffield, UK)
Barbara Hammer (Bielefeld University, Bielefeld, Germany)
Jun Tani (KAIST, Daejeon, Republic of Korea)
Paul Verschure (Universitat Pompeu Fabra, Barcelona, Spain)
ORGANIZATION:
General Chair:
Stefan Wermter (Hamburg, Germany)
Program co-Chairs
Alessandro E.P. Villa (Lausanne, Switzerland, ENNS President)
Wlodzislaw Duch (Torun, Poland & Singapore, ENNS Past-President)
Petia Koprinkova-Hristova (Sofia, Bulgaria)
Cornelius Weber (Hamburg, Germany)
Timo Honkela (Helsinki, Finland)
Local Organizing Committee Chairs:
Sven Magg, Johannes Bauer, Jorge Chacon, Stefan Heinrich, Doreen
Jirak, Katja Koesters, Erik Strahl
VENUE:
Hamburg is the second-largest city in Germany, home to over
1.8 million people. Situated at the river Elbe, the port of Hamburg
is the second-largest port in Europe. The University of Hamburg is
the largest institution for research and education in the north of
Germany.
The venue of the conference is the ESA building of the University
of Hamburg, situated at Edmund-Siemers-Allee near the city centre
and easily reachable from Dammtor Railway Station. Hamburg Airport
can be reached easily via public transport.
CONFERENCE TOPICS:
ICANN 2014 will feature the main tracks Brain Inspired Computing and
Machine Learning research, with strong cross-disciplinary
interactions and applications. All research fields dealing with
Neural Networks will be present at the conference.
A non-exhaustive list of topics includes:
Brain Inspired Computing: Cognitive models, Computational
Neuroscience, Self-organization, Reinforcement Learning, Neural
Control and Planning, Hybrid Neural-Symbolic Architectures,
Neural Dynamics, Recurrent Networks, Deep Learning.
Machine Learning: Neural Network Theory, Neural Network Models,
Graphical Models, Bayesian Networks, Kernel Methods, Generative
Models, Information Theoretic Learning, Reinforcement Learning,
Relational Learning, Dynamical Models.
Neural Applications for: Intelligent Robotics, Neuro-Robotics,
Language Processing, Image Processing, Sensor Fusion, Pattern
Recognition, Data Mining, Neural Agents, Brain-Computer
Interaction, Neural Hardware, Evolutionary Neural Networks.
WORKSHOPS and SPECIAL SESSIONS:
ICANN 2014 invites workshops covering current research in neural
networks. A workshop proposal should include: title, outline,
expected enrollment, and organizer biography.
The ICANN 2014 Program Committee solicits also proposals for special
sessions within the technical scope of the conference. Special
sessions, to be organized by international recognized experts, aim to
bring together researchers in special focused topics. Papers submitted
for special sessions are to be peer-reviewed with the same criteria
used for the contributed papers. Proposals should include the session
title, a brief description of the scope and motivation, biographic
and contact information of the organizers.
We invite you to submit proposals for Workshops and Special Sessions
to the following email address: ICANN2014@informatik.uni-hamburg.de
PAPERS:
Papers of maximum 8 pages length will be refereed to international
standards by at least three referees. Accepted papers of contributing
authors will be published in Springer-Verlag Lecture Notes in
Compute Science (LNCS) series. Submission of papers will be online.
More details are available on the conference web site.
DEMONSTRATIONS:
ICANN 2014 will host demonstrations to showcase research and applications
of neural networks. Demonstrations are self-contained,
i.e. independent of any presented talk or poster. For a demonstration
proposal, we request a 1-page description of your demonstration and
its features. Later, you will communicate which resources (space /
duration / projector / internet / etc.) you require. Decisions about
demonstrations will be made within two weeks after submission
deadline. A full conference registration is required for the
demonstration.
We invite you to submit proposals for Demonstrations to:
ICANN2014@informatik.uni-hamburg.de
TRAVEL AWARDS:
As in previous years, the European Neural Network Society (ENNS) plans
to offer around 10 student travel awards of 400 Euro each for students
presenting papers. Only papers that have been considered positively
by at least two reviewers can be considered. The selection considers
only papers that have been accepted and is based on the ranking
established by the referees during the procedure of paper evaluation.
The deadline for sending the Travel Grant application (that includes
a Letter of Interest to the PC chairs, Studentship Proof and detailed CV
of the candidate) is the 14th of April, 2014. The award will be sent to
the student by 28th April and paid during the conference. More details
will be provided on the website nearer the time.
DEADLINES:
Special session / workshop proposals: 15 January 2014
Submission of full papers: * 17 February 2014 *
Notification of acceptance: 7 April 2014
Submission of Demonstration proposals: 21 April 2014
Camera-ready paper and registration: 5 May 2014
Conference dates: 15-19 September 2014
CONFERENCE WEBSITE:
http://www.icann2014.org
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Professor Dr. Stefan Wermter
Chair of Knowledge Technology
Department of Computer Science
University of Hamburg
Vogt Koelln Str. 30
22527 Hamburg, Germany
http://www.informatik.uni-hamburg.de/~wermter/
http://www.informatik.uni-hamburg.de/WTM/
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