Connectionists: [CFP] Special Session on Hypercomplex-valued neural networks: Theory and Applications

[Marcos Eduardo Valle (IMECC-Unicamp)]

Special Session on Hypercomplex-valued neural networks: Theory and
Applications at WCCI

IEEE World Congress on Computational Intelligence (WCCI 2022)

International Joint Conference on Neural Networks (IJCNN 2022)

18 - 23rd July 2022, Padua, Italy.
Webpages (for further information):

WCCI 2022: https://wcci2022.org/

Special Session: https://www.ime.unicamp.br/~valle/wcci2022/
Aim and Scope:

Complex-valued, quaternion-valued, and more generally hypercomplex-valued
neural networks (HVNNs) constitute a rapidly growing research area that has
attracted continued interest for the last decade. Besides their natural
ability to tread multidimensional data, hypercomplex-valued neural networks
can benefit from hypercomplex numbers’ geometric and algebraic properties.
For example, complex-valued neural networks are essential for proper
treatment of phase and the information contained in phase, including the
treatment of wave- and rotation-related phenomena such as electromagnetism,
light waves, quantum waves, and oscillatory phenomena. Quaternion-valued
neural networks, which have potential applications in three- and
four-dimensional data modeling, have been effectively used to process and
analyze multivariate images such as color and polarimetric SAR images.
Despite significant theoretical development and successful applications,
there are still many research directions in HVNNs, including a formal
generalization of the commonly used real-valued network architectures and
training algorithms to the hypercomplex-valued case. There are also many
exciting applications in pattern recognition and classification, nonlinear
filtering, intelligent image processing, brain-computer interfaces,
time-series prediction, bioinformatics, robotics, etc. This special session
aims to be the proper forum for a systematic and comprehensive exchange of
ideas, present the recent research results, and discuss future trends in
HVNNs. We hope the proposed session will attract potential speakers and
researchers interested in joining the HVNNs community. We also expect this
session to benefit and inspire computational intelligence researchers and
other specialties that need sophisticated neural network tools.
List of Topics:

This special session welcomes papers that are or might be related to all
aspects of hypercomplex-valued neural networks, including complex-valued
and quaternion-valued neural networks. Papers on theoretical advances as
well as contributions of applied nature are appreciated. We also welcome
interdisciplinary contributions from other areas on the borders of the
proposed scope. Topics include, but are not limited to:

   -

   Theoretical aspects of HVNNs
   -

   Hypercomplex-valued activation functions
   -

   Learning algorithms for HVNNs
   -

   Hypercomplex-valued associative memories
   -

   Pattern recognition, classification, and time series prediction using
   HVNNs
   -

   HVNNs in nonlinear filtering
   -

   Dynamics of hypercomplex-valued neurons
   -

   Learning algorithms for HVNNs
   -

   Chaos in the complex domain
   -

   Hypercomplex-valued deep neural networks
   -

   Spatiotemporal processing using HVNNs
   -

   Frequency domain processing using complex-valued neural networks
   -

   Phase-sensitive signal processing
   -

   Applications of HVNNs in image processing, speech processing, and
   bioinformatics
   -

   Quantum computation and quantum neural networks
   -

   HVNN in brain-computer interfaces
   -

   HVNNs in robotics
   -

   HVNN-based hardware/devices such as lightwave and spin-wave neural
   devices

Past Special Sessions:

Special session on HVNNs has become a traditional event of the IJCNN
conference. Ten special sessions have been organized since 2006 (WCCI-IJCNN
2006, Vancouver; WCCI-IJCNN 2008, Hong Kong; IJCNN 2009, Atlanta;
WCCI-IJCNN 2010, Barcelona; IJCNN-2011, San Jose; WCCI-IJCNN 2012,
Brisbane; IJCNN-2013, Dallas; WCCI-IJCNN 2014, Beijing; WCCI-IJCNN 2016,
Vancouver; WCCI-IJCNN 2018, Rio De Janeiro; WCCI-IJCNN 2020, Glasgow).
These special sessions attracted numerous submissions and had large
audiences. They featured many engaging presentations and very productive
discussions. Because of the recent advances in HVNNs, we expect this
special session to be as exciting and fruitful as the past special sessions.
Organizers:

Marcos Eduardo Valle (University of Campinas, Brazil)

Danilo Mandic (Imperial College, London, UK)

Igor Aizenberg (Manhattan College, USA)

Akira Hirose (University of Tokyo, Japan)
Important Dates:

   -

   Paper Submission: January 31, 2022
   -

   Notification of Acceptance: April 26, 2022
   -

   Final Paper Submission: May 23, 2022
   -

   IEEE WCCI 2022, Padua, Italy. 18-23 July 2012


Instructions:

Submit your paper at https://cmt3.research.microsoft.com/IEEEWCCI2022/

Please select the special session “IJCNN-SS-6: Hypercomplex-valued neural
networks - Theory and Applications” under the list of research topics in
the submission system during the submission.

Papers submitted for this special sessions should attend the WCCI 2022
submission’ requirements, including:

   -

   The paper should not explicitly reveal the authors' identities
   (double-blind review process).
   -

   Submissions should be original and not currently under review at another
   venue.
   -

   Submissions should be typed using the IEEE-style files for conference
   proceedings. Also, each paper is limited to 8 pages, including figures,
   tables, and references.


Further information on the submission guidelines are available at
https://wcci2022.org/submission/
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