3 citations · 8 across the 5 of their papers we have counts for
5 papers
Kernel Corrector LSTM
Rodrigo Tuna, Yassine Baghoussi, Carlos Soares +1
Forecasting methods are affected by data quality issues in two ways: 1. they are hard to predict, and 2. they may affect the model negatively when it is updated with new data. The…
Towards a Systematic Approach to Design New Ensemble Learning Algorithms
João Mendes-Moreira, Tiago Mendes-Neves
Ensemble learning has been a focal point of machine learning research due to its potential to improve predictive performance. This study revisits the foundational work on ensemble…
Estimating Player Performance in Different Contexts Using Fine-tuned Large Events Models
Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira
This paper introduces an innovative application of Large Event Models (LEMs), akin to Large Language Models, to the domain of soccer analytics. By learning the language of soccer -…
A Survey of Advanced Computer Vision Techniques for Sports
Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira
Computer Vision developments are enabling significant advances in many fields, including sports. Many applications built on top of Computer Vision technologies, such as tracking da…
Hierarchical Qualitative Clustering: clustering mixed datasets with critical qualitative information
Diogo Seca, João Mendes-Moreira, Tiago Mendes-Neves +1
Clustering can be used to extract insights from data or to verify some of the assumptions held by the domain experts, namely data segmentation. In the literature, few methods can b…