Deep learning applications in games: a survey from a data perspective
This paper presents a comprehensive review of deep learning applications in the video
game industry, focusing on how these techniques can be utilized in game development …
game industry, focusing on how these techniques can be utilized in game development …
Permutation equivariant layers for higher order interactions
Recent work on permutation equivariant neural networks has mostly focused on the first
order case (sets) and second order case (graphs). We describe the machinery for …
order case (sets) and second order case (graphs). We describe the machinery for …
Intervening after trauma: Child–parent psychotherapy treatment is associated with lower pediatric epigenetic age acceleration
ADW Sullivan, SM Merrill, C Konwar… - Psychological …, 2024 - journals.sagepub.com
Early-life adversity increases the risk of health problems. Interventions supporting protective
and responsive caregiving offer a promising approach to attenuating adversity-induced …
and responsive caregiving offer a promising approach to attenuating adversity-induced …
Explainable ai for cheating detection and churn prediction in online games
Online gaming is a multibillion dollar industry that entertains a large, global population.
Empowering online games with AI has made a great success, however, ignores the …
Empowering online games with AI has made a great success, however, ignores the …
Quickskill: Novice skill estimation in online multiplayer games
Matchmaking systems are vital for creating fair matches in online multiplayer games, which
directly affects players' satisfactions and game experience. Most of the matchmaking …
directly affects players' satisfactions and game experience. Most of the matchmaking …
Modeling of Small Groups in Computational Sciences: A Prospecting Review
MH Jackson - Small Group Research, 2024 - journals.sagepub.com
Small group researchers are increasingly called to engage the computational sciences. One
challenge in answering this call is the lack of information concerning what the study of small …
challenge in answering this call is the lack of information concerning what the study of small …
A survey of models for cognitive diagnosis: New developments and future directions
Cognitive diagnosis has been developed for decades as an effective measurement tool to
evaluate human cognitive status such as ability level and knowledge mastery. It has been …
evaluate human cognitive status such as ability level and knowledge mastery. It has been …
Elo-mmr: A rating system for massive multiplayer competitions
A Ebtekar, P Liu - Proceedings of the Web Conference 2021, 2021 - dl.acm.org
Skill estimation mechanisms, colloquially known as rating systems, play an important role in
competitive sports and games. They provide a measure of player skill, which incentivizes …
competitive sports and games. They provide a measure of player skill, which incentivizes …
Knowledge enhanced graph contrastive learning for match outcome prediction
With the booming popularity, Multiplayer Online Battle Arena (MOBA) Game has become
one of the mainstream games, in which players are divided into two teams, and the goal is to …
one of the mainstream games, in which players are divided into two teams, and the goal is to …
Artificial intelligence in MOBA games: a multivocal literature mapping
Esports-games played competitively-comprise a major sector of the global games industry.
Esports has been used as a testbed for game AI and game analytics for two decades. This …
Esports has been used as a testbed for game AI and game analytics for two decades. This …