Event prediction in the big data era: A systematic survey

L Zhao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Events are occurrences in specific locations, time, and semantics that nontrivially impact
either our society or the nature, such as earthquakes, civil unrest, system failures …

Actions speak louder than goals: Valuing player actions in soccer

T Decroos, L Bransen, J Van Haaren… - Proceedings of the 25th …, 2019 - dl.acm.org
Assessing the impact of the individual actions performed by soccer players during games is
a crucial aspect of the player recruitment process. Unfortunately, most traditional metrics fall …

Deep reinforcement learning in ice hockey for context-aware player evaluation

G Liu, O Schulte - arxiv preprint arxiv:1805.11088, 2018 - arxiv.org
A variety of machine learning models have been proposed to assess the performance of
players in professional sports. However, they have only a limited ability to model how player …

Shuttlenet: Position-aware fusion of rally progress and player styles for stroke forecasting in badminton

WY Wang, HH Shuai, KS Chang… - Proceedings of the AAAI …, 2022 - ojs.aaai.org
The increasing demand for analyzing the insights in sports has stimulated a line of
productive studies from a variety of perspectives, eg, health state monitoring, outcome …

Automatic discovery of tactics in spatio-temporal soccer match data

T Decroos, J Van Haaren, J Davis - Proceedings of the 24th acm sigkdd …, 2018 - dl.acm.org
Sports teams are nowadays collecting huge amounts of data from training sessions and
matches. The teams are becoming increasingly interested in exploiting these data to gain a …

Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction

M Teranishi, K Tsutsui, K Takeda, K Fujii - International Workshop on …, 2022 - Springer
Evaluating the individual movements for teammates in soccer players is crucial for
assessing teamwork, scouting, and fan engagement. It has been said that players in a 90 …

Action valuation of on-and off-ball soccer players based on multi-agent deep reinforcement learning

H Nakahara, K Tsutsui, K Takeda, K Fujii - IEEE Access, 2023 - ieeexplore.ieee.org
Analysis of invasive sports such as soccer is challenging because the game situation
changes continuously in time and space, and multiple agents individually recognize the …

Event prediction based on evolutionary event ontology knowledge

Q Mao, X Li, H Peng, J Li, D He, S Guo, M He… - Future Generation …, 2021 - Elsevier
The evolution and development of breaking news events usually present regular patterns,
leading to the happening of sequential events. Therefore, the analysis of such evolutionary …

Content-aware summarization of broadcast sports videos: an audio–visual feature extraction approach

AA Khan, J Shao, W Ali, S Tumrani - Neural Processing Letters, 2020 - Springer
A large number of videos available on the internet belong to the category of sports.
Generally, a sports video has a long duration and consists of only a few exciting moments …

Automatic curation of sports highlights using multimodal excitement features

M Merler, KNC Mac, D Joshi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The production of sports highlight packages summarizing a game's most exciting moments
is an essential task for broadcast media. Yet, it requires labor-intensive video editing. We …