• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 10 matches

• 2023
• 
  Ulf Brefeld, Jesse Davis, Jan Van Haaren, Albrecht Zimmermann:
  Machine Learning and Data Mining for Sports Analytics - 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers. Communications in Computer and Information Science 1783, Springer 2023, ISBN 978-3-031-27526-5 [contents]
• 2022
• 
  Hyunsung Kim, Changjo 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: 74-86
• 
  Henrik Biermann, Franz-Georg Wieland, Jens Timmer, Daniel Memmert, Ashwin Phatak:
  Towards Expected Counter - Using Comprehensible Features to Predict Counterattacks. MLSA@PKDD/ECML 2022: 3-13
• 
  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: 101-112
• 
  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: 115-126
• 
  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: 27-40
• 
  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: 41-52
• 
  Laurynas Raudonius, Thomas Seidl:
  Shot Analysis in Different Levels of German Football Using Expected Goals. MLSA@PKDD/ECML 2022: 14-26
• 
  Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
  Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction. MLSA@PKDD/ECML 2022: 53-73
• 
  Ying Zhu, Ruthuparna Naikar:
  Predicting Tennis Serve Directions with Machine Learning. MLSA@PKDD/ECML 2022: 89-100