Special Issue: 93

Recent Advancements in Deep Learning
for the journal WSEAS Transactions on Computers

Organizer:

Prof. Kiran Sree Pokkuluri

Departement of CSE, Shri Vishnu Engineering College for Women

Bhimavaram, Andhra Pradesh

India

Email: drkiransree@gmail.com

Aim:

Deep neural networks (DNNs) have recently achieved outstanding predictive performance, and become an indispensable tool in a wide range of pattern recognition applications, including image classification, object detection, video understanding, document analysis, etc. While DNN methods give impressively high predictive accuracy, they are often perceived as black-boxes with deep, computationally expensive layers, and have been recently found vulnerable to spoofing with well-designed input samples in many safety-critical applications. This is especially so in several sensitive or real-time pattern recognition applications including medical diagnosis, face recognition, and self-driving cars. In these applications, a single incorrect prediction might be very costly, and thus the reliance on the trained model and its capacity to deliver both efficient and robust data processing must be guaranteed. Therefore, understanding how the DNN behaves and thus generating explainable deep learning models have become an essential and fundamental problem.

Topics:

- Deep learning algorithms

- Deep reinforcement learning

- Deep-learning theory

- Deep learning architectures adversarial examples

- Deep generative models multitask, transfer, and meta-learning

- Bayesian methods causal inferences explainable and interpretable AI representation learning constrained optimization computer vision natural language processing application in any other field using deep learning methods

How to submit:
You can upload your paper via the web site of the particular
WSEAS journal indicating in the Field: "Notes" the title of the Special Issue

Note that the Deadline for Paper submission is 31st December of 2021.
However the organizers review the papers and publish them in a continuous flow. You do not need to wait the acceptance of the other papers in your session to publish your paper. In case that your paper passes the first round of review (some times the second round of review), it can be published if you satisfy the reviewers' comments and remarks and the Editor-in-Chief decides that your paper You do not have to wait the peer review of the other papers in your Session.

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Special Issue: 93

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