3 citations · 5 across the 4 of their papers we have counts for
4 papers
Bayesian Network Fusion of Large Language Models for Sentiment Analysis
Rasoul Amirzadeh, Dhananjay Thiruvady, Fatemeh Shiri
Large language models (LLMs) continue to advance, with an increasing number of domain-specific variants tailored for specialised tasks. However, these models often lack transparenc…
A Framework for Empowering Reinforcement Learning Agents with Causal Analysis: Enhancing Automated Cryptocurrency Trading
Rasoul Amirzadeh, Dhananjay Thiruvady, Asef Nazari +1
Despite advances in artificial intelligence-enhanced trading methods, developing a profitable automated trading system remains challenging in the rapidly evolving cryptocurrency ma…
Dynamic Bayesian Networks for Predicting Cryptocurrency Price Directions: Uncovering Causal Relationships
Rasoul Amirzadeh, Dhananjay Thiruvady, Asef Nazari +1
Cryptocurrencies have gained popularity across various sectors, especially in finance and investment. Despite their growing popularity, cryptocurrencies can be a high-risk investme…
Causal Modelling of Cryptocurrency Price Movements Using Discretisation-Aware Bayesian Networks
Rasoul Amirzadeh, Asef Nazari, Dhananjay Thiruvady +1
This study identifies the key factors influencing the price movements of major cryptocurrencies, Bitcoin, Binance Coin, Ethereum, Litecoin, Ripple, and Tether, using Bayesian netwo…