Feedback Artificial Tree‐Anti Corona Virus Optimization enabled deep learning for detecting autism spectrum disorder-Reference-Cited by-同舟云学术

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Feedback Artificial Tree‐Anti Corona Virus Optimization enabled deep learning for detecting autism spectrum disorder

Published:2022-07-27 Issue:9 Volume:39 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Arumugam Arunkumar¹^ORCID,Velrajkumar Pitchandi²,Sriramakrishnan Gopalsamy Venkadakrishnan³,Muppidi Satish⁴

Affiliation:

1. Department of CSE Sri Krishna College of Engineering and Technology Coimbatore India

2. Department of EEE CMR Institute of Technology Bengaluru India

3. Department of CSE, Sikkim Manipal Institute of Technology Sikkim Manipal University East Sikkim India

4. Department of Computer Science and Engineering GMR Institute of Technology Rajam India

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13040

Reference47 articles.

1. BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

2. A review of uncertainty quantification in deep learning: Techniques, applications and challenges

3. Abdar M. Salari S. Qahremani S. Lam H.‐K. Karray F. Hussain S. Khosravi A. Acharya U. R. Makarenkov V. &Nahavandi V.(2021).UncertaintyFuseNet: Robust uncertainty‐aware hierarchical feature fusion with ensemble Monte Carlo dropout model for COVID‐19 detection. 1–14.

4. Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

5. ABIDE(2021).ABIDE data.https://github.com/lsa-pucrs/acerta-abide

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