Definitions of esports: a systematic review and thematic analysis
The esports market has been growing exponentially has been growing exponentially with
much interest from industry and academia. Perhaps because of this growth, there is a lack of …
much interest from industry and academia. Perhaps because of this growth, there is a lack of …
[PDF][PDF] Calling for information systems research on esports: An overview study
Online gaming has become a pervasive entertainment activity, and its professionalization
has resulted in esports (ie, electronic sports)—a new blend of sport and business. Esports …
has resulted in esports (ie, electronic sports)—a new blend of sport and business. Esports …
Performance of machine learning algorithms in predicting game outcome from drafts in dota 2
In this paper we suggest the first systematic review and compare performance of most
frequently used machine learning algorithms for prediction of the match winner from the …
frequently used machine learning algorithms for prediction of the match winner from the …
Anytime discovery of a diverse set of patterns with monte carlo tree search
The discovery of patterns that accurately discriminate one class label from another remains
a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that …
a challenging data mining task. Subgroup discovery (SD) is one of the frameworks that …
What did i do wrong in my MOBA game? Mining patterns discriminating deviant behaviours
O Cavadenti, V Codocedo, JF Boulicaut… - … Conference on Data …, 2016 - ieeexplore.ieee.org
The success of electronic sports (eSports), where professional gamers participate in
competitive leagues and tournaments, brings new challenges for the video game industry …
competitive leagues and tournaments, brings new challenges for the video game industry …
Seqscout: Using a bandit model to discover interesting subgroups in labeled sequences
It is extremely useful to exploit labeled datasets not only to learn models but also to improve
our understanding of a domain and its available targeted classes. The so-called subgroup …
our understanding of a domain and its available targeted classes. The so-called subgroup …
Anytime mining of sequential discriminative patterns in labeled sequences
It is extremely useful to exploit labeled datasets not only to learn models and perform
predictive analytics but also to improve our understanding of a domain and its available …
predictive analytics but also to improve our understanding of a domain and its available …
Evolving interpretable strategies for zero-sum games
JRH Marino, CFM Toledo - Applied Soft Computing, 2022 - Elsevier
The present paper introduces Gesy, a genetic programming approach to script synthesis for
zero-sum games. We will explore the sum-zero game context in Real-Time Strategy (RTS) …
zero-sum games. We will explore the sum-zero game context in Real-Time Strategy (RTS) …
A behavioral pattern mining approach to model player skills in rocket league
R Mathonat, JF Boulicaut… - 2020 IEEE conference on …, 2020 - ieeexplore.ieee.org
Competitive gaming, or esports, is now well-established and brought the game industry in a
novel era. It comes with many challenges among which evaluating the level of a player …
novel era. It comes with many challenges among which evaluating the level of a player …
Game balancing using Koopman-based learning
This paper addresses the analysis of how the outcome of a zero-sum two-player game is
affected by the value of numerical parameters that are part of the game rules and/or winning …
affected by the value of numerical parameters that are part of the game rules and/or winning …