3 citations · 13 across the 12 of their papers we have counts for
12 papers
Forecasting Soccer Matches through Distributions
Tiago Mendes-Neves, Yassine Baghoussi, Luís Meireles +2
Forecasting sporting events encapsulate a compelling intellectual endeavor, underscored by the substantial financial activity of an estimated $80 billion wagered in global sports b…
A Neighbor-based Approach to Pitch Ownership Models in Soccer
Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira
Pitch ownership models allow many types of analysis in soccer and provide valuable assistance to tactical analysts in understanding the game's dynamics. The novelty they provide ov…
The Geostrategy of Youth Player Recruitment in Portuguese Clubs
Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira +1
Portugal's prominent role as a global exporter of football talent is primarily driven by youth academies. Notably, Portugal leads the global ranking in terms of net transfer balanc…
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…
Forecasting Events in Soccer Matches Through Language
Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira
This paper introduces an approach to predicting the next event in a soccer match, a challenge bearing remarkable similarities to the problem faced by Large Language Models (LLMs).…
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…
Valuing Players Over Time
Tiago Mendes-Neves, Luís Meireles, João Mendes-Moreira
In soccer (or association football), players quickly go from heroes to zeroes, or vice-versa. Performance is not a static measure but a somewhat volatile one. Analyzing performance…
Pastprop-RNN: improved predictions of the future by correcting the past
André Baptista, Yassine Baghoussi, Carlos Soares +2
Forecasting accuracy is reliant on the quality of available past data. Data disruptions can adversely affect the quality of the generated model (e.g. unexpected events such as out-…
A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition
Kemilly Dearo Garcia, Tiago Carvalho, João Mendes-Moreira +2
Human activity recognition (HAR) is a classification task that aims to classify human activities or predict human behavior by means of features extracted from sensors data. Typical…
autoBagging: Learning to Rank Bagging Workflows with Metalearning
Fábio Pinto, Vítor Cerqueira, Carlos Soares +1
Machine Learning (ML) has been successfully applied to a wide range of domains and applications. One of the techniques behind most of these successful applications is Ensemble Lear…