Connectionists: [Journal] IJAIT Call for Special Issue on Explainable Machine Learning in Methodologies and Applications

[Pub Conference]

Computational Intelligence Journal
Special Issue on Explainable Machine Learning in Methodologies and
Applications

https://onlinelibrary.wiley.com/page/journal/14678640/homepage/special_issues.htm

This special issue aims to bring together original research articles and
review articles that will present the latest theoretical and technical
advancements of machine and deep learning models. We hope that this Special
Issue will: 1) improve the understanding and explainability of machine
learning and deep neural networks; 2) enhance the mathematical foundation
of deep neural networks; and 3) increase the computational efficiency and
stability of the machine and deep learning training process with new
algorithms that will scale. Potential topics include but are not limited to
the following:
 Interpretability of deep learning models
 Quantifying or visualizing the interpretability of deep neural networks
 Neural networks, fuzzy logic, and evolutionary based interpretable
control systems
 Supervised, unsupervised, and reinforcement learning
 Extracting understanding from large-scale and heterogeneous data
 Dimensionality reduction of large scale and complex data and sparse
modeling
 Stability improvement of deep neural network optimization
 Optimization methods for deep learning
 Privacy preserving machine learning (e.g., federated machine learning,
learning over encrypted data)
 Novel deep learning approaches in the applications of image/signal
processing, business intelligence, games, healthcare, bioinformatics, and
security Important Dates

Deadline for Submissions: March 31, 2022
First Review Decision: May 31,‬2022
Revisions Due: June 30, 2022
Deadline for 2nd Review: July 31, 2022
Final Decisions: August 31, 2022  Final Manuscript: September 30, 2022
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