Evaluating Transparency: A Cross-Model Exploration of Explainable AI in Financial Forecasting
Author:
Affiliation:
1. Auckland University of Technology,Computer Science and Software Engineering,Auckland,New Zealand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10487636/10487139/10487732.pdf?arnumber=10487732
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1. Towards better understanding of gradient-based attribution methods for deep neural networks;Ancona,2018
2. Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
3. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
4. Extending machine learning prediction capabilities by explainable AI in financial time series prediction
5. Techniques for interpretable machine learning
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