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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 …
either our society or the nature, such as earthquakes, civil unrest, system failures …
Actions speak louder than goals: Valuing player actions in soccer
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 …
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 …
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
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 …
productive studies from a variety of perspectives, eg, health state monitoring, outcome …
Automatic discovery of tactics in spatio-temporal soccer match data
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 …
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
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 …
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
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 …
changes continuously in time and space, and multiple agents individually recognize the …
Event prediction based on evolutionary event ontology knowledge
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 …
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
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 …
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
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 …
is an essential task for broadcast media. Yet, it requires labor-intensive video editing. We …