Search Results - "Xenopoulos, Peter"

ESPORT: Electronic Sports Professionals Observations and Reflections on Training by Białecki, Andrzej, Xenopoulos, Peter, Dobrowolski, Paweł, Białecki, Robert, Gajewski, Jan

“…Esports and high-performance human-computer interaction are at the forefront of implementing new hardware and software technologies Despite that, there is a…”
Get full text

Data Mining for Esports by Xenopoulos, Peter

“…Over the past decade, sophisticated sports data acquisition systems have proliferated detailed player event and tracking data across many conventional sports,…”
Get full text

Calibrate: Interactive Analysis of Probabilistic Model Output by Xenopoulos, Peter, Rulff, Joao, Nonato, Luis Gustavo, Barr, Brian, Silva, Claudio

“…Analyzing classification model performance is a crucial task for machine learning practitioners. While practitioners often use count-based metrics derived from…”
Get full text

Visualization for Machine Learning by Xenopoulos, Peter, Nonato, Luis Gustavo, Silva, Claudio

“…As machine learning has increased in popularity, visualization has taken an important role in analyzing and communicating aspects of machine learning models…”
Get full text

Mountaineer: Topology-Driven Visual Analytics for Comparing Local Explanations by Solunke, Parikshit, Guardieiro, Vitoria, Rulff, Joao, Xenopoulos, Peter, Chan, Gromit Yeuk-Yin, Barr, Brian, Nonato, Luis Gustavo, Silva, Claudio

“…With the increasing use of black-box Machine Learning (ML) techniques in critical applications, there is a growing demand for methods that can provide…”
Get full text

Graph Neural Networks to Predict Sports Outcomes by Xenopoulos, Peter, Silva, Claudio

“…Predicting outcomes in sports is important for teams, leagues, bettors, media, and fans. Given the growing amount of player tracking data, sports analytics…”
Get full text

ESTA: An Esports Trajectory and Action Dataset by Xenopoulos, Peter, Silva, Claudio

“…Sports, due to their global reach and impact-rich prediction tasks, are an exciting domain to deploy machine learning models. However, data from conventional…”
Get full text

Graph Neural Networks to Predict Sports Outcomes by Xenopoulos, Peter, Silva, Claudio

“…Predicting outcomes in sports is important for teams, leagues, bettors, media, and fans. Given the growing amount of player tracking data, sports analytics…”
Get full text

Introducing DeepBalance: Random deep belief network ensembles to address class imbalance by Xenopoulos, Peter

“…Class imbalance problems manifest in domains such as financial fraud detection or network intrusion analysis, where the prevalence of one class is much higher…”
Get full text

Valuing Player Actions in Counter-Strike: Global Offensive by Xenopoulos, Peter, Doraiswamy, Harish, Silva, Claudio

“…Esports, despite its expanding interest, lacks fundamental sports analytics resources such as accessible data or proven and reproducible analytical frameworks…”
Get full text

Introducing DeepBalance: Random Deep Belief Network Ensembles to Address Class Imbalance by Xenopoulos, Peter

“…Class imbalance problems manifest in domains such as financial fraud detection or network intrusion analysis, where the prevalence of one class is much higher…”
Get full text

Market Interventions in a Large-Scale Virtual Economy by Hogan-Hennessy, Senan, Xenopoulos, Peter, Silva, Claudio

“…Massively multiplayer online role-playing games often contain sophisticated in-game economies. Many important real-world economic phenomena, such as inflation,…”
Get full text

ESPORT: Electronic Sports Professionals Observations and Reflections on Training by Białecki, Andrzej, Xenopoulos, Peter, Dobrowolski, Paweł, Białecki, Robert, Gajewski, Jan

“…Esports and high performance human-computer interaction are on the forefront of applying new hardware and software technologies in practice. Despite that,…”
Get full text

Optimal Team Economic Decisions in Counter-Strike by Xenopoulos, Peter, Coelho, Bruno, Silva, Claudio

“…The outputs of win probability models are often used to evaluate player actions. However, in some sports, such as the popular esport Counter-Strike, there…”
Get full text

ggViz: Accelerating Large-Scale Esports Game Analysis by Xenopoulos, Peter, Rulff, Joao, Silva, Claudio

“…While esports organizations are increasingly adopting practices of conventional sports teams, such as dedicated analysts and data-driven decision-making,…”
Get full text

Valuing Player Actions in Counter-Strike: Global Offensive by Xenopoulos, Peter, Doraiswamy, Harish, Silva, Claudio

“…Esports, despite its expanding interest, lacks fundamental sports analytics resources such as accessible data or proven and reproducible analytical frameworks…”
Get full text

MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations by Solunke, Parikshit, Guardieiro, Vitoria, Rulff, Joao, Xenopoulos, Peter, Chan, Gromit Yeuk-Yin, Barr, Brian, Nonato, Luis Gustavo, Silva, Claudio

“…With the increasing use of black-box Machine Learning (ML) techniques in critical applications, there is a growing demand for methods that can provide…”
Get full text

Calibrate: Interactive Analysis of Probabilistic Model Output by Xenopoulos, Peter, Rulff, Joao, Nonato, Luis Gustavo, Barr, Brian, Silva, Claudio

“…Analyzing classification model performance is a crucial task for machine learning practitioners. While practitioners often use count-based metrics derived from…”
Get full text

Topological Representations of Local Explanations by Xenopoulos, Peter, Chan, Gromit, Doraiswamy, Harish, Nonato, Luis Gustavo, Barr, Brian, Silva, Claudio

“…Local explainability methods -- those which seek to generate an explanation for each prediction -- are becoming increasingly prevalent due to the need for…”
Get full text

Bandit Modeling of Map Selection in Counter-Strike: Global Offensive by Petri, Guido, Stanley, Michael H, Hon, Alec B, Dong, Alexander, Xenopoulos, Peter, Silva, Cláudio

“…Many esports use a pick and ban process to define the parameters of a match before it starts. In Counter-Strike: Global Offensive (CSGO) matches, two teams…”
Get full text