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An anti-attack method for emotion categorization from images

  • Published:2022-10 Issue: Volume:128 Page:109456
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Shehu Harisu AbdullahiORCID,Browne Will N.,Eisenbarth Hedwig

Publisher

Elsevier BV

Subject

Software

Reference77 articles.

1. Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements;Barrett;Psychol. Sci. Public Interest,2019

2. A comprehensive study on facial expressions recognition techniques;Jameel,2016

3. Spatial–temporal recurrent neural network for emotion recognition;Zhang;IEEE Trans. Cybern.,2018

4. An out-of-distribution attack resistance approach to emotion categorization;Shehu;IEEE Trans. Artif. Intell.,2021

5. Challenges in representation learning: A report on three machine learning contests;Goodfellow;Neural Netw.,2014

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1. Prediction of Trustworthiness from Human Demographic & Behavioral Information of An Audio-Visual Corpus;2024 IEEE 28th International Conference on Intelligent Engineering Systems (INES);2024-07-17

2. Attention-Based Methods for Emotion Categorization From Partially Covered Faces;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-02

3. Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations;Information Fusion;2024-02

4. A Survey of Video Analysis Based on Facial Expression Recognition;II International Congress on the Technology and Innovation in Engineering and Computing;2023-08-01
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