Search Results for author: Javier Fernandez

Found 5 papers, 0 papers with code

Two Ways of Understanding Social Dynamics: Analyzing the Predictability of Emergence of Objects in Reddit r/place Dependent on Locality in Space and Time

no code implementations2 Jun 2022 Alyssa M Adams, Javier Fernandez, Olaf Witkowski

Lately, studying social dynamics in interacting agents has been boosted by the power of computer models, which bring the richness of qualitative work, while offering the precision, transparency, extensiveness, and replicability of statistical and mathematical approaches.

A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions

no code implementations18 Nov 2020 Javier Fernandez, Luke Bornn, Daniel Cervone

The expected possession value (EPV) of a soccer possession represents the likelihood of a team scoring or receiving the next goal at any time instance.

Adaptive binarization based on fuzzy integrals

no code implementations4 Mar 2020 Francesco Bardozzo, Borja De La Osa, Lubomira Horanska, Javier Fumanal-Idocin, Mattia delli Priscoli, Luigi Troiano, Roberto Tagliaferri, Javier Fernandez, Humberto Bustince

This document presents a new adaptive binarization technique based on fuzzy integral images through an efficient design of a modified SAT for fuzzy integrals.

Binarization

Effective injury forecasting in soccer with GPS training data and machine learning

no code implementations23 May 2017 Alessio Rossi, Luca Pappalardo, Paolo Cintia, Marcello Iaia, Javier Fernandez, Daniel Medina

Injuries have a great impact on professional soccer, due to their large influence on team performance and the considerable costs of rehabilitation for players.

BIG-bench Machine Learning

Generalized Interval-valued OWA Operators with Interval Weights Derived from Interval-valued Overlap Functions

no code implementations20 Oct 2016 Benjamin Bedregal, Humberto Bustince, Eduardo Palmeira, Graçaliz Pereira Dimuro, Javier Fernandez

In this work we extend to the interval-valued setting the notion of an overlap functions and we discuss a method which makes use of interval-valued overlap functions for constructing OWA operators with interval-valued weights.

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