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MLSA@PKDD/ECML
2013
2017
2019
2023
2013
2023
Keyphrases
Publications
volume 1783, 2023
Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
MLSA@PKDD/ECML
1783 (2023)
2022
Henrik Biermann
,
Franz-Georg Wieland
,
Jens Timmer
,
Daniel Memmert
,
Ashwin Phatak
Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks.
MLSA@PKDD/ECML
(2022)
Hyunsung Kim
,
Chang Jo Kim
,
Minchul Jeong
,
Jaechan Lee
,
Jinsung Yoon
,
Sang-Ki Ko
Cost-Efficient and Bias-Robust Sports Player Tracking by Integrating GPS and Video.
MLSA@PKDD/ECML
(2022)
Arie-Willem de Leeuw
,
Tobias Oberkofler
,
Mathieu Heijboer
,
Arno J. Knobbe
Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data.
MLSA@PKDD/ECML
(2022)
Ying Zhu
,
Ruthuparna Naikar
Predicting Tennis Serve Directions with Machine Learning.
MLSA@PKDD/ECML
(2022)
Masakiyo Teranishi
,
Kazushi Tsutsui
,
Kazuya Takeda
,
Keisuke Fujii
Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction.
MLSA@PKDD/ECML
(2022)
Laurynas Raudonius
,
Thomas Seidl
Shot Analysis in Different Levels of German Football Using Expected Goals.
MLSA@PKDD/ECML
(2022)
Pegah Rahimian
,
Dayana Grayce da Silva Guerra Gomes
,
Fanni Berkovics
,
László Toka
Let's Penetrate the Defense: A Machine Learning Model for Prediction and Valuation of Penetrative Passes.
MLSA@PKDD/ECML
(2022)
Pierre Duluard
,
Xinqing Li
,
Marc Plantevit
,
Céline Robardet
,
Romain Vuillemot
Discovering and Visualizing Tactics in a Table Tennis Game Based on Subgroup Discovery.
MLSA@PKDD/ECML
(2022)
Conor McCarthy
,
Panagiotis Tampakis
,
Marco Chiarandini
,
Morten Bredsgaard Randers
,
Stefan Jänicke
,
Arthur Zimek
Analyzing Passing Sequences for the Prediction of Goal-Scoring Opportunities.
MLSA@PKDD/ECML
(2022)
volume 1571, 2022
Machine Learning and Data Mining for Sports Analytics - 8th International Workshop, MLSA 2021, Virtual Event, September 13, 2021, Revised Selected Papers
MLSA@PKDD/ECML
1571 (2022)
2021
Michaël Steyaert
,
Jelle De Bock
,
Steven Verstockt
Sensor-Based Performance Monitoring in Track Cycling.
MLSA@PKDD/ECML
(2021)
Balazs Acs
,
László Toka
A Career in Football: What is Behind an Outstanding Market Value?
MLSA@PKDD/ECML
(2021)
Bahavathy Kathirgamanathan
,
James Davenport
,
Brian Caulfield
,
Pádraig Cunningham
Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data.
MLSA@PKDD/ECML
(2021)
Nicolas Jacquelin
,
Romain Vuillemot
,
Stefan Duffner
Detecting Swimmers in Unconstrained Videos with Few Training Data.
MLSA@PKDD/ECML
(2021)
Hyunsung Kim
,
Jihun Kim
,
Dongwook Chung
,
Jonghyun Lee
,
Jinsung Yoon
,
Sang-Ki Ko
6MapNet: Representing Soccer Players from Tracking Data by a Triplet Network.
MLSA@PKDD/ECML
(2021)
Pegah Rahimian
,
László Toka
Inferring the Strategy of Offensive and Defensive Play in Soccer with Inverse Reinforcement Learning.
MLSA@PKDD/ECML
(2021)
Bram Janssens
,
Matthias Bogaert
Imputation of Non-participated Race Results.
MLSA@PKDD/ECML
(2021)
Wouter Duivesteijn
,
Thomas C. van Dijk
Exceptional Gestalt Mining: Combining Magic Cards to Make Complex Coalitions Thrive.
MLSA@PKDD/ECML
(2021)
Arsalan Sattari
,
Ulf Johansson
,
Erik Wilderoth
,
Jasmin Jakupovic
,
Peter Larsson-Green
The Interpretable Representation of Football Player Roles Based on Passing/Receiving Patterns.
MLSA@PKDD/ECML
(2021)
Oliver Müller
,
Matthew Caron
,
Michael Döring
,
Tim Heuwinkel
,
Jochen Baumeister
PIVOT: A Parsimonious End-to-End Learning Framework for Valuing Player Actions in Handball Using Tracking Data.
MLSA@PKDD/ECML
(2021)
Roland Kovacs
,
László Toka
Predicting Player Transfers in the Small World of Football.
MLSA@PKDD/ECML
(2021)
Henrique Duarte Moura
,
Leonid Kholkine
,
Laurens Van Damme
,
Kevin Mets
,
Christiaan Leysen
,
Tom De Schepper
,
Peter Hellinckx
,
Steven Latré
Low Cost Player Tracking in Field Hockey.
MLSA@PKDD/ECML
(2021)
Swarup Ranjan Behera
,
V. Vijaya Saradhi
Learning Strength and Weakness Rules of Cricket Players Using Association Rule Mining.
MLSA@PKDD/ECML
(2021)
Connor T. Heaton
,
Prasenjit Mitra
Learning to Describe Player Form in the MLB.
MLSA@PKDD/ECML
(2021)
Alberto Barbosa
,
Pedro Ribeiro
,
Inês Dutra
Similarity of Football Players Using Passing Sequences.
MLSA@PKDD/ECML
(2021)
González Dos Santos Teno
,
Chunyan Wang
,
Niklas Carlsson
,
Patrick Lambrix
Predicting Season Outcomes for the NBA.
MLSA@PKDD/ECML
(2021)
2020
Leonid Kholkine
,
Tom De Schepper
,
Tim Verdonck
,
Steven Latré
A Machine Learning Approach for Road Cycling Race Performance Prediction.
MLSA@PKDD/ECML
(2020)
Jakim Berndsen
,
Barry Smyth
,
Aonghus Lawlor
Mining Marathon Training Data to Generate Useful User Profiles.
MLSA@PKDD/ECML
(2020)
Gabor Csanalosi
,
Gergely Dobreff
,
Alija Pasic
,
Marton Molnar
,
László Toka
Low-Cost Optical Tracking of Soccer Players.
MLSA@PKDD/ECML
(2020)
Timmy Lehmus Persson
,
Haris Kozlica
,
Niklas Carlsson
,
Patrick Lambrix
Prediction of Tiers in the Ranking of Ice Hockey Players.
MLSA@PKDD/ECML
(2020)
Gergely Dobreff
,
Péter Revisnyei
,
Gábor Schuth
,
György Szigeti
,
László Toka
,
Alija Pasic
Physical Performance Optimization in Football.
MLSA@PKDD/ECML
(2020)
Per Lindström
,
Ludwig Jacobsson
,
Niklas Carlsson
,
Patrick Lambrix
Predicting Player Trajectories in Shot Situations in Soccer.
MLSA@PKDD/ECML
(2020)
Pieter Robberechts
,
Jesse Davis
How Data Availability Affects the Ability to Learn Good xG Models.
MLSA@PKDD/ECML
(2020)
Anna Aniszewska-Stepien
,
Romain Hérault
,
Guillaume Hacques
,
Ludovic Seifert
,
Gilles Gasso
Learning from Partially Labeled Sequences for Behavioral Signal Annotation.
MLSA@PKDD/ECML
(2020)
Laurie Shaw
,
Sudarshan Gopaladesikan
Routine Inspection: A Playbook for Corner Kicks.
MLSA@PKDD/ECML
(2020)
Ashwin Vaswani
,
Rijul Ganguly
,
Het Shah
,
Sharan Ranjit S
,
Shrey Pandit
,
Samruddhi Bothara
An Autoencoder Based Approach to Simulate Sports Games.
MLSA@PKDD/ECML
(2020)
Swarup Ranjan Behera
,
Vijaya V. Saradhi
Stats Aren't Everything: Learning Strengths and Weaknesses of Cricket Players.
MLSA@PKDD/ECML
(2020)
volume 1324, 2020
Machine Learning and Data Mining for Sports Analytics - 7th International Workshop, MLSA 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings
MLSA@PKDD/ECML
1324 (2020)
volume 11330, 2019
Machine Learning and Data Mining for Sports Analytics - 5th International Workshop, MLSA 2018, Co-located with ECML/PKDD 2018, Dublin, Ireland, September 10, 2018, Proceedings
MLSA@PKDD/ECML
11330 (2019)
2018
Automatic Classification of Strike Techniques Using Limb Trajectory Data.
MLSA@PKDD/ECML
(2018)
Konstantinos Pelechrinis
,
Wayne L. Winston
,
Jeff Sagarin
,
Vic Cabot
Evaluating NFL Plays: Expected Points Adjusted for Schedule.
MLSA@PKDD/ECML
(2018)
Measuring Football Players' On-the-ball Contributions from Passes during Games.
MLSA@PKDD/ECML
(2018)
Football Pass Prediction using Player Locations.
MLSA@PKDD/ECML
(2018)
Forecasting the FIFA World Cup - Combining Result- and goal-based Team Ability Parameters.
MLSA@PKDD/ECML
(2018)
Dennis Ljung
,
Niklas Carlsson
,
Patrick Lambrix
Player Pairs Valuation in Ice Hockey.
MLSA@PKDD/ECML
(2018)
Lotte Bransen
,
Jan Van Haaren
Measuring Football Players' On-the-Ball Contributions from Passes During Games.
MLSA@PKDD/ECML
(2018)
Characterizing Soccer Players' Playing Style from Match Event Streams.
MLSA@PKDD/ECML
(2018)
Yejia Liu
,
Oliver Schulte
,
Chao Li
Model Trees for Identifying Exceptional Players in the NHL and NBA Drafts.
MLSA@PKDD/ECML
(2018)
volume 2284, 2018
Proceedings of the 5th Workshop on Machine Learning and Data Mining for Sports Analytics co-located with 2018 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2018), Dublin, Ireland, September 10th, 2018.
MLSA@PKDD/ECML
2284 (2018)