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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games
Description
An account of the resource
Qian, X., Sifa, R., Liu, X., Ganguly, S., Yadamsuren, B., Klabjan, D., ... & Demediuk, S. (2022). Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games. In Australasian Computer Science Week 2022 (pp. 23-30).
Creator
An entity primarily responsible for making the resource
Qian, X., Sifa, R., Liu, X., Ganguly, S., Yadamsuren, B., Klabjan, D., ... & Demediuk, S.
Date
A point or period of time associated with an event in the lifecycle of the resource
2022
Publisher
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ACM
Language
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English
Type
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Journal Paper
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1145/3511616.3513095" target="_blank" rel="noreferrer noopener">https://doi.org/10.1145/3511616.3513095</a>
datasets
gaze detection
neural networks
text tagging
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Autohighlight: Highlight detection in League of Legends esports broadcasts via crowd-sourced data
Description
An account of the resource
Ringer, C., Nicolaou, M. A., & Walker, J. A. (2022). Autohighlight: Highlight detection in League of Legends esports broadcasts via crowd-sourced data. Machine Learning with Applications, 100338.
Creator
An entity primarily responsible for making the resource
Ringer, C., Nicolaou, M. A., & Walker, J. A.
Date
A point or period of time associated with an event in the lifecycle of the resource
2022
Publisher
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Machine Learning with Applications
Language
A language of the resource
English
Type
The nature or genre of the resource
Journal Paper
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1016/j.mlwa.2022.100338" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mlwa.2022.100338</a>
deep learning
highlight detection
livestreaming
neural networks
Ranking networks
Weakly supervised learning