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ORCIDMLSA@PKDD/ECML 2016: Riva del Garda, Italy
- Jan Van Haaren, Mehdi Kaytoue, Jesse Davis:
Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, MLSA@PKDD/ECML 2016, Riva del Garda, Italy, September 19, 2016. CEUR Workshop Proceedings 1842, CEUR-WS.org 2017
Session 1: Prediction Challenge
- Antoine Adam:
Generalised Linear Model for Football Matches Prediction. - Maryam Tavakol, Hamid Zafartavanaelmi, Ulf Brefeld:
Feature Extraction and Aggregation for Predicting the EURO 2016. - Jan Lasek:
EURO 2016 Predictions Using Team Rating Systems. - Lucas Maystre, Victor Kristof, Antonio J. González Ferrer, Matthias Grossglauser:
The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions.
Session 2
- Aleksandr M. Semenov, Peter Romov, Kirill Neklyudov, Daniil Yashkov, Daniil Kireev:
Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing. - Madan Gopal Jhanwar, Vikram Pudi:
Predicting the Outcome of ODI Cricket Matches: A Team Composition Based Approach. - Harm Eggels, Ruud van Elk, Mykola Pechenizkiy:
Explaining Soccer Match Outcomes with Goal Scoring Opportunities Predictive Analytics. - Vincent Vercruyssen, Luc De Raedt, Jesse Davis:
Qualitative Spatial Reasoning for Soccer Pass Prediction. - Konstantinos Pelechrinis:
Decision Making in American Football: Evidence from 7 Years of NFL Data.
Session 3
- Boris Doux, Clément Gautrais, Benjamin Négrevergne:
Detecting Strategic Moves in HearthStone Matches. - Albrecht Zimmermann:
Wages of Wins: Could an Amateur Make Money from Match Outcome Predictions?
Session 4
- Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, Ricard Gavaldà:
Does Training Affect Match Performance? A Study Using Data Mining And Tracking Devices. - Dimitri de Smet, Marc Francaux, Julien M. Hendrickx, Michel Verleysen:
Heart Rate Modelling as a Potential Physical Fitness Assessment for Runners and Cyclists. - Juan Alfonso Lara, David Lizcano, David de la Peña, José M. Barreiro:
Data Mining in Stabilometry: Application to Patient Balance Study for Sports Talent Mapping.
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