1 citations · 1 across the 3 of their papers we have counts for
3 papers
Multi-Dimensional Behavioral Evaluation of Agentic Stock Prediction Systems Using Large Language Model Judges with Closed-Loop Reinforcement Learning Feedback
Mohammad Al Ridhawi, Mahtab Haj Ali, Hussein Al Osman
Agentic artificial intelligence systems produce outputs through sequences of interdependent autonomous decisions, yet standard evaluation assesses outputs alone and cannot diagnose…
Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis
Mohammad Al Ridhawi, Mahtab Haj Ali, Hussein Al Osman
Stock market prediction presents considerable challenges for investors, financial institutions, and policymakers operating in complex market environments characterized by noise, no…
Adaptive Regime-Aware Stock Price Prediction Using Autoencoder-Gated Dual Node Transformers with Reinforcement Learning Control
Mohammad Al Ridhawi, Mahtab Haj Ali, Hussein Al Osman
Stock markets exhibit regime-dependent behavior where prediction models optimized for stable conditions often fail during volatile periods. Existing approaches typically treat all…