Zobrazeno 1 - 10
of 620
pro vyhledávání: '"Moreira, Joao"'
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 latter issue is usually addressed by pre-processing the data to remove
Externí odkaz:
http://arxiv.org/abs/2404.18273
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). Unlike other methods that severely limit event dynamics in soccer, oft
Externí odkaz:
http://arxiv.org/abs/2402.06820
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 error decomposition, historically confined to bias-variance-covariance
Externí odkaz:
http://arxiv.org/abs/2402.06818
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 - predicting variables for subsequent events rather than words - LEMs f
Externí odkaz:
http://arxiv.org/abs/2402.06815
We propose the 3-momentum sphere intersection regularization applied to the one and two fermion line integrals at finite temperature and chemical potential. The quark-antiquark polarization function in this new regularization approach is equivalent t
Externí odkaz:
http://arxiv.org/abs/2310.05749
Human Activity Recognition (HAR) has been a popular research field due to the widespread of devices with sensors and computational power (e.g., smartphones and smartwatches). Applications for HAR systems have been extensively researched in recent lit
Externí odkaz:
http://arxiv.org/abs/2308.13314
Autor:
Gaidis, Alexander J., Moreira, Joao, Sun, Ke, Milburn, Alyssa, Atlidakis, Vaggelis, Kemerlis, Vasileios P.
We present the design, implementation, and evaluation of FineIBT: a CFI enforcement mechanism that improves the precision of hardware-assisted CFI solutions, like Intel IBT, by instrumenting program code to reduce the valid/allowed targets of indirec
Externí odkaz:
http://arxiv.org/abs/2303.16353
Computer Vision developments are enabling significant advances in many fields, including sports. Many applications built on top of Computer Vision technologies, such as tracking data, are nowadays essential for every top-level analyst, coach, and eve
Externí odkaz:
http://arxiv.org/abs/2301.07583
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 as a time series rather than a stationary point in time is crucial to
Externí odkaz:
http://arxiv.org/abs/2209.03882
Autor:
de Souza, Jaime Freire, Moreira, João Baptista Dias, Roberts, Keith Jared, Gaioso, Roussian di Ramos Alves, Gomi, Edson Satoshi, Silva, Emílio Carlos Nelli, Senger, Hermes
${\tt simwave}$ is an open-source Python package to perform wave simulations in 2D or 3D domains. It solves the constant and variable density acoustic wave equation with the finite difference method and has support for domain truncation techniques, s
Externí odkaz:
http://arxiv.org/abs/2201.05278