1 citations · 1 across the 4 of their papers we have counts for
4 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…
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…
Online Data Augmentation for Forecasting with Deep Learning
Vitor Cerqueira, Moisés Santos, Luis Roque +2
Deep learning approaches are increasingly used to tackle forecasting tasks involving datasets with multiple univariate time series. A key factor in the successful application of th…
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-…