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QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
In this context, we introduce Quantified Uncertainty Counterfactual Explanations (QUCE), a method designed to mitigate out-of-distribution traversal by minimizing path uncertainty.
Stock Price Predictability and the Business Cycle via Machine Learning
We study the impacts of business cycles on machine learning (ML) predictions.
An Investigation of the Impact of COVID-19 Non-Pharmaceutical Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques
Since the onset of the the COVID-19 pandemic, many countries across the world have implemented various non-pharmaceutical interventions (NPIs) to contain the spread of virus, as well as economic support policies (ESPs) to save their economies.
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