Explainable Algorithmic Trading: Unlocking the Black Box with GAN-Based Visualizations-Reference-Cited by-同舟云学术

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Explainable Algorithmic Trading: Unlocking the Black Box with GAN-Based Visualizations

Published:2024-08-01 Issue: Volume:07 Page:1-10
ISSN:
Container-title:2024 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)
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Author:

Mtetwa Joseph Tafataona¹,Ogudo Kingsley¹,Pudaruth Sameerchand²

Affiliation:

1. University of Johannesburg,Faculty of Engineering and The Built Environment,Department of Electrical & Electronics Engineering,Johannesburg,South Africa

2. Communication and Digital Technologies (FoICDT) University of Mauritius,ICT Department Faculty of Information,Mauritius

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10645221/10645222/10645264.pdf?arnumber=10645264

Reference14 articles.

1. Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies

2. RL-VAEGAN: Adversarial defense for reinforcement learning agents via style transfer

3. Explainable AI (XAI) and its Applications in Building Trust and Understanding in AI Decision Making;Tiwari,2023

4. Application of Generative Adversarial Networks (GANs) for Generating Synthetic Data and in Cybersecurity

5. Opening the Black Box of Financial AI with CLEAR-Trade: A CLass-Enhanced Attentive Response Approach for Explaining and Visualizing Deep Learning-Driven Stock Market Prediction

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