[agents] Special Issue CFP: Deep Learning Architecture and Applications

[Xiang Zhang]

**********Apoligize if you receive multiple copies of this CFP
***************
Journal: *Algorithms* (https://www.mdpi.com/journal/algorithms)
Indexed by MathSciNet, Scopus, EI Compendex, and ESCI; CiteScore: 3.3; SJR
Q2

Special Issue: "*Deep Learning Architecture and Applications
<https://www.mdpi.com/journal/algorithms/special_issues/56U1X6P99B>*"

Dear Colleagues,

As one of the fastest-growing topics in machine learning, deep learning
algorithms have achieved unprecedented success in recent years. Novel
paradigms (such as contrastive learning and few-shot learning) in deep
learning and rising neural network architectures (e.g., transformer, masked
autoencoder) are dramatically changing the landscape of data-driven
algorithms. More importantly, deep learning models, serving as powerful
tools, are redefining the next generation of industrial applications
spanning image recognition, speech processing, language translation,
healthcare, and even sciences. For example, recent advances in deep
representation learning are extending the frontiers of human knowledge on
protein 3D structures, which sheds new light on fundamental medicine and
biology along with potentially bringing in billions of dollars (e.g., in
the pharmaceutical market).

This Special Issue aims to supply a platform for the publication of novel
deep learning algorithms/frameworks and their applications in real-world
scenarios.  The topics include but are not limited to the following:

   - Supervised learning
   - Unsupervised learning
   - Reinforcement learning
   - Explainability, generability, robustness, and fairness in deep learning
   - Applications of deep learning
   - Deep learning for health
   - Deep learning for sciences

Please note:

   - *Submission deadline: March 5, 2023.* However, the submissions are
   reviewed in a round-base: first submit, first review, first accept.
   - *FREE publication policy*: We have 10 Awards to outstanding
   manuscripts that can waive the publication fee! Other excellent papers may
   get a discount on publication fee.
   - For any questions/suggestions/enquiries, please feel free to reach out Dr.
   Xiang Zhang <https://xiangzhang.info/> (xiang.zhang at uncc.edu).


*Guest Editors*
Dr. Xiang Zhang, UNC Charlotte, USA

Dr. Xiaoxiao Li, University of British Columbia (UBC), Canada
-- 
Xiang Zhang, Ph.D.
Assistant Professor | Computer Science
University of North Carolina at Charlotte
9201 University City Blvd. | Charlotte, NC 28223
xiang.zhang at uncc.edu | xiang.alan.zhang at gmail.com
http://www.xiangzhang.info
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.cs.umbc.edu/pipermail/agents/attachments/20220822/4d8678fa/attachment.html>