Titlebook: Intelligent Technologies for Interactive Entertainment; 14th EAI Internation Martin Clayton,Mauro Passacantando,Marcello Sangui Conference

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GFTLSTM: Dynamic Graph Neural Network Model Based on Graph Framelets Transformgraph neural networks (GNNs). However, traditional GNN models for static graph data analysis have limitations in their ability to extract evolutionary patterns from dynamic graphs, which are more commonly observed in real-world data. Additionally, existing dynamic GNN models tend to prioritize low-f

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Biases in Micro-level Probabilistic Reasoning and Its Impact on the Spectators’ Enjoyment of Tennis nse is linked to the spectators’ reasoning about the probability of winning or losing. In tennis, as in many other sports, spectators’ predictions of winning probabilities largely hinge on the scores. Given tennis’s hierarchical scoring system, its probabilistic reasoning is multifaceted and complex

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A PLS-SEM Approach for Composite Indicators: An Original Application on the Expected Goal Modell. With this final aim, data from different sources have been merged: tracking data, match event data and some players’ performance composite indicators obtained using a Partial Least Squares - Structural Equation Model (PLS-SEM) approach. Using a sample of match data relying to season 2019/2020 of

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The WebCrow French Crossword Solvery from one country to another. Automated crossword resolution is challenging, and typical solvers rely on large databases of previously solved crosswords. In this work, we extend WebCrow 2.0, an automatic crossword solver, to French, making it the first program for crossword solving in the French la

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