1 citations · 1 across the 4 of their papers we have counts for
4 papers
Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning
Sean Groom, Michael Groom, Francisco Belo +4
Machine learning is increasingly employed for the evaluation of football tactics. However, existing approaches focus on characterising historical actions or analyst-specified count…
A Machine Learning Framework for Off Ball Defensive Role and Performance Evaluation in Football
Sean Groom, Shuo Wang, Francisco Belo +2
Evaluating off-ball defensive performance in football is challenging, as traditional metrics do not capture the nuanced coordinated movements that limit opponent action selection a…
Ontology Learning and Knowledge Graph Construction: A Comparison of Approaches and Their Impact on RAG Performance
Tiago da Cruz, Bernardo Tavares, Francisco Belo
Retrieval-Augmented Generation (RAG) systems combine Large Language Models (LLMs) with external knowledge, and their performance depends heavily on how that knowledge is represente…
CRACQ: A Multi-Dimensional Approach To Automated Document Assessment
Ishak Soltani, Francisco Belo, Bernardo Tavares
This paper presents CRACQ, a multi-dimensional evaluation framework tailored to evaluate documents across f i v e specific traits: Coherence, Rigor, Appropriateness, Completeness,…