Simon Demediuk

According to our database, Simon Demediuk authored at least 19 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

DOTA 2 match prediction through deep learning team fight models.

Cheng Hao Ke, Haozhang Deng, Congda Xu, Jiong Li, Xingyun Gu, Borchuluun Yadamsuren, Diego Klabjan, Rafet Sifa, Anders Drachen, Simon Demediuk

Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games.

Xin Qian, Rafet Sifa, Xuefei Liu, Shreyashi Ganguly, Borchuluun Yadamsuren, Diego Klabjan, Anders Drachen, Simon Demediuk

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2021

Wait, But Why?: Assessing Behavior Explanation Strategies for Real-Time Strategy Games.

Justus Robertson, Athanasios Vasileios Kokkinakis, Jonathan Hook, Ben Kirman, Florian Block, Marian Florin Ursu, Sagarika Patra, Simon Demediuk, Anders Drachen, Oluseyi Olarewaju

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Less is More: Analysing Communication in Teams of Strangers.

Evelyn T. S. Tan, Alex R. Wade, Athanasios Vasileios Kokkinakis, Georgia Heyes, Simon Demediuk, Anders Drachen

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

What Are You Looking At? Team Fight Prediction Through Player Camera.

Marko Tot, Michelangelo Conserva, Alan Pedrassoli Chitayat, Athanasios Vasileios Kokkinakis, Sagarika Patra, Simon Demediuk, Alvaro Caceres Munoz, Oluseyi Olarewaju, Marian Ursu, Ben Kirman, Jonathan Hook, Florian Block, Anders Drachen, Diego Pérez-Liébana

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games.

Rafet Sifa, Anders Drachen, Florian Block, Spencer Moon, Anisha Dubhashi, Hao Xiao, Zili Li, Diego Klabjan, Simon Demediuk

Proceedings of the ACSW '21: 2021 Australasian Computer Science Week Multiconference, 2021

2020

DAX: Data-Driven Audience Experiences in Esports.

Athanasios Vasileios Kokkinakis, Simon Demediuk, Isabelle Nölle, Oluseyi Olarewaju, Sagarika Patra, Justus Robertson, Peter York, Alan Pedrassoli Chitayat, Alistair Coates, Daniel Slawson, Peter Hughes, Nicolas Hardie, Ben Kirman, Jonathan Hook, Anders Drachen, Marian Florin Ursu, Florian Block

Proceedings of the ACM International Conference on Interactive Media Experiences. IMX 2020, 2020

Retention Prediction in Sandbox Games with Bipartite Tensor Factorization.

Rafet Sifa, Michael Fedell, Nathan Franklin, Diego Klabjan, Shiva Ram, Arpan Venugopal, Simon Demediuk, Anders Drachen

Proceedings of the Intelligent Computing, 2020

WARDS: Modelling the Worth of Vision in MOBA's.

Alan Pedrassoli Chitayat, Athanasios Vasileios Kokkinakis, Sagarika Patra, Simon Demediuk, Justus Robertson, Oluseyi Olarewaju, Marian Ursu, Ben Kirman, Jonathan Hook, Florian Block, Anders Drachen

Proceedings of the Intelligent Computing, 2020

Naive Mesh-to-Mesh Coloured Model Generation using 3D GANs.

Ryan J. Spick, Simon Demediuk, James Alfred Walker

Proceedings of the Australasian Computer Science Week, 2020

2019

The trails of Just Cause 2: spatio-temporal player profiling in open-world games.

Myat Aung, Simon Demediuk, Yuan Sun, Ye Tu, Yu Ang, Siva Nekkanti, Shantanu Raghav, Diego Klabjan, Rafet Sifa, Anders Drachen

Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019

Time to Die: Death Prediction in Dota 2 using Deep Learning.

Adam Katona, Ryan J. Spick, Victoria J. Hodge, Simon Demediuk, Florian Block, Anders Drachen, James Alfred Walker

Proceedings of the IEEE Conference on Games, 2019

Role Identification for Accurate Analysis in Dota 2.

Simon Demediuk, Peter York, Anders Drachen, James Alfred Walker, Florian Block

Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019

A Team Based Player Versus Player Recommender Systems Framework For Player Improvement.

Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk

Proceedings of the Australasian Computer Science Week Multiconference, 2019

Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment.

Simon Demediuk, Marco Tamassia, Xiaodong Li, William L. Raffe

Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018

Measuring player skill using dynamic difficulty adjustment.

Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Florian 'Floyd' Mueller, Xiaodong Li

Proceedings of the Australasian Computer Science Week Multiconference, 2018

Player retention in league of legends: a study using survival analysis.

Simon Demediuk, Alexandra Murrin, David W. Bulger, Michael Hitchens, Anders Drachen, William L. Raffe, Marco Tamassia

Proceedings of the Australasian Computer Science Week Multiconference, 2018

2017

Monte Carlo tree search based algorithms for dynamic difficulty adjustment.

Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Xiaodong Li, Florian 'Floyd' Mueller

Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

2016

An Adaptive Training Framework for Increasing Player Proficiency in Games and Simulations.

Simon Demediuk, William L. Raffe, Xiaodong Li

Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, 2016