8th Workshop on Machine Learning and Data Mining for Sports Analytics
ECML/PKDD 2021 Workshop

Welcome Key Dates Schedule Organisers Links

Schedule

09:15 Introduction
09:30 Inferring the Strategy of Offensive and Defensive Play in Soccer with Inverse Reinforcement Learning
Pegah Rahimian and Laszlo Toka
09:45 Measuring the Effectiveness of Pressing in Soccer
Simon Merckx, Pieter Robberechts, Yannick Euvrard and Jesse Davis
10:00 The interpretable representation of football player roles based on passing/receiving patterns
Arsalan Sattari, Ulf Johansson, Erik Wilderoth, Jasmin Jakupovic and Peter Larsson-Green
10:15 6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network
Hyunsung Kim, Jihun Kim, Dongwook Chung, Jonghyun Lee, Jinsung Yoon and Sang-Ki Ko
10:25 Similarity of football players using passing sequences
Alberto Barbosa, Pedro Ribeiro and Inês Dutra
10:35 Break
11:00 A career in football: what is behind an outstanding market value?
Balazs Acs and Laszlo Toka
11:15 Predicting player transfers in the small world of football
Roland Kovacs and Laszlo Toka
11:30 Learning Strength and Weakness Rules of Cricket Players using Association Rule Mining
Swarup Ranjan Behera and Saradhi Vijaya
11:45 Exceptional Gestalt Mining: Combining Magic Cards to Make Complex Coalitions Thrive
Wouter Duivesteijn and Thomas C. van Dijk
12:00 Break
13:45 Sensor-Based Performance Monitoring in Track Cycling
Michaël Steyaert, Jelle De Bock and Steven Verstockt
14:00 Using Barycenters as Aggregate Representations of Repetition Based Time Series Exercise Data
Bahavathy Kathirgamanathan, James Davenport, Brian Caulfield and Padraig Cunningham
14:15 Detecting Swimmers in Unconstrained Videos with Few Training Data
Nicolas Jacquelin, Romain Vuillemot and Stefan Duffner
14:30 Imputation of non-participated race results
Bram Janssens and Matthias Bogaert
14:40 Break
15:15 Predicting Season Outcomes for the NBA
Teno Gonzales dos Santos, Chunyan Wang, Niklas Carlsson and Patrick Lambrix
15:30 PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball using Tracking Data
Oliver Müller, Matthew Caron, Michael Döring, Tim Heuwinkel and Jochen Baumeister
15:45 Low cost player tracking in field hockey
Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx and Steven Latré
15:55 Learning to Describe Player Form in the MLB
Connor Heaton and Prasenjit Mitra
16:05 Break
16:30 Valuing Actions and Assessing Players: Reinforcement Learning for Sports Analytics
Invited talk by Oliver Schulte
17:30 End of the workshop