
9 Artículos
Estimating the Relevance of First Offensive Shot Tactics in Table Tennis via Simulation Based on a Finite Markov Chain Model
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Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis
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Two clusterings to capture basketball players’ shooting tendencies using tracking data: clustering of shooting styles and the shots themselves
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A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results
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Getting NBA Shots in Context: Analysing Basketball Shots with Graph Embeddings
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NBA Results Forecast: From League Dynamics Analysis to Predictive Model Implementation
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Can machine learning distinguish between elite and non-elite rowers?
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Players’ Performance Prediction for Fantasy Premier League, Using Transformer-based Sentiment Analysis on News and Statistical Data
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Advancing Sport Biomechanics with Depth Cameras: Systematic Review of Current Applications and Future Directions
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