Connectionists: WCCI 2024 SS - Randomization-Based Deep and Shallow Learning Algorithms and/or Biomedical Applications

[M Tanveer]

Dear Colleague,

We are organizing a special session on  "*Randomization-Based Deep and
Shallow Learning Algorithms and/or Biomedical Applications*" at the WCCI
2024 in Yokohama.

The aim of this special session is to present the recent advances in
randomization- based learning methods. Randomization-based neural networks
usually offer non-iterative closed-form solutions. Secondly, the focus is
on promoting the concepts of non-iterative optimization with respect to
counterparts, such as gradient-based methods and derivative-free iterative
optimization techniques. Besides the dissemination of the latest research
results on randomization-based and/or non-iterative algorithms, it is also
expected that this special session will cover some practical applications,
present some new ideas and identify directions for future studies.

Original contributions as well as comparative studies among
randomization-based and non-randomized-based methods are welcome with
unbiased literature review and comparative studies. Typical deep/shallow
paradigms include (but not limited to) random vector functional link
(RVFL), randomized recurrent networks (RRN), kernel ridge regression (KRR)
with randomization, extreme learning machines (ELM), random forests (RF),
stochastic configuration network (SCN), broad learning system (BLS),
convolution neural networks (CNN) with randomization, and so on.


Submission Deadline:  *January 15, 2024*

*Submission Site: * Please use the IEEE WCCI 2024 double-blind submission
procedure when submitting your paper for our special session. Conference
formatting templates and submission guidelines can be found at
https://2024.ieeewcci.org/submission.

Tick the radio button on the left to select our session title as a track -
Special Session: Randomization-Based Deep and Shallow Learning Algorithms
and/or Biomedical Applications - when submitting your IJCNN 2024 Special
Session Papers at https://edas.info/N31614.

*Special Session Organizers/Chairs:*

P. N. Suganthan, Qatar University.
M. Tanveer, Indian Institute of Technology Indore, India.

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Dr. M. Tanveer (Founding Chapter Chair, IEEE CIS Chapter - MP Section)

SERB Ramanujan Fellow and INSA Associate Fellow

IEEE CIS Distinguished Lecturer (2024-2026)

Elected Board of Governors - APNNS (2023-2024)

Associate Professor of Mathematics

Indian Institute of Technology Indore

Email: mtanveer at iiti.ac.in

Mobile: +91-9413259268

Homepage: http://iiti.ac.in/people/~mtanveer/


Associate Editor: IEEE Transactions on Neural Networks & Learning Systems
(IF: 10.4).

Action Editor: Neural Networks, Elsevier  (IF: 7.8).

Associate Editor: Pattern Recognition, Elsevier (IF: 8.0).

Editorial Board: Applied Soft Computing, Elsevier  (IF: 8.7).

Board of Editors: Engineering Applications of AI, Elsevier (IF: 8.0).

Associate Editor: Neurocomputing, Elsevier  (IF: 6.0).

Associate Editor: Cognitive Computation, Springer (IF: 5.4).

Associate Editor: International Journal of Machine Learning & Cybernetics
(IF: 5.6).

Lead Guest Editor: IEEE Transactions on Fuzzy Systems (IF: 11.9)
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