Miquel Noguer I Alonso
Publications by Year
Research Areas
Neural Networks and Applications, Stock Market Forecasting Methods, Reinforcement Learning in Robotics, Complex Systems and Time Series Analysis, Topic Modeling
Most-Cited Works
- → Deep Learning in Finance: Prediction of Stock Returns with Long Short‐Term Memory Networks(2018)12 cited
- → FinEAS: Financial Embedding Analysis of Sentiment(2022)9 cited
- → Game Theory and Multi-Agent Reinforcement Learning: From Nash Equilibria to Evolutionary Dynamics(2025)4 cited
- → A Framework for the Evaluation of Large Language Models(2023)4 cited
- → Deep Learning for Equity Time Series Prediction(2020)3 cited
- → Generative Models for Time Series in Finance(2023)2 cited
- Statistical arbitrage and algorithmic trading: overview and applications(2011)
- → Economy and Financial Markets As Complex Systems Modeling the Economy: A New Framework(2024)2 cited
- → John Hopfield's Contributions to Neural Networks: A Detailed Mathematical Exploration(2024)2 cited