Simon Demediuk

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 20

Top Topics

Pure Nash Equilibria

Tensor Factorization

Top Venues

Publications

Cheng Hao Ke, Haozhang Deng, Congda Xu, Jiong Li, Xingyun Gu, Borchuluun Yadamsuren, Diego Klabjan, Rafet Sifa, Anders Drachen, Simon Demediuk
DOTA 2 match prediction through deep learning team fight models. CoG (2022)
Xin Qian, Rafet Sifa, Xuefei Liu, Shreyashi Ganguly, Borchuluun Yadamsuren, Diego Klabjan, Anders Drachen, Simon Demediuk
Anomaly Detection in Player Performances in Multiplayer Online Battle Arena Games. ACSW (2022)
Rafet Sifa, Anders Drachen, Florian Block, Spencer Moon, Anisha Dubhashi, Hao Xiao, Zili Li, Diego Klabjan, Simon Demediuk
Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. ACSW (2021)
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
What Are You Looking At? Team Fight Prediction Through Player Camera. CoG (2021)
Justus Robertson, Athanasios Vasileios Kokkinakis, Jonathan Hook, Ben Kirman, Florian Block, Marian Florin Ursu, Sagarika Patra, Simon Demediuk, Anders Drachen, Oluseyi Olarewaju
Wait, But Why?: Assessing Behavior Explanation Strategies for Real-Time Strategy Games. IUI (2021)
Evelyn Tan, Alex R. Wade, Athanasios Vasileios Kokkinakis, Georgia Heyes, Simon Demediuk, Anders Drachen
Less is More: Analysing Communication in Teams of Strangers. HICSS (2021)
Rafet Sifa, Michael Fedell, Nathan Franklin, Diego Klabjan, Shiva Ram, Arpan Venugopal, Simon Demediuk, Anders Drachen
Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. SAI (1) (2020)
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
DAX: Data-Driven Audience Experiences in Esports. IMX (2020)
Alan Pedrassoli Chitayat, Athanasios Vasileios Kokkinakis, Sagarika Patra, Simon Demediuk, Justus Robertson, Oluseyi Olarewaju, Marian Ursu, Ben Kirman, Jonathan Hook, Florian Block, Anders Drachen
WARDS: Modelling the Worth of Vision in MOBA's. SAI (2) (2020)
Ryan J. Spick, Simon Demediuk, James Alfred Walker
Naive Mesh-to-Mesh Coloured Model Generation using 3D GANs. ACSW (2020)
Simon Demediuk, Marco Tamassia, Xiaodong Li, William L. Raffe
Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment. ACSW (2019)
Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen, Simon Demediuk
A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW (2019)
Simon Demediuk, Peter York, Anders Drachen, James Alfred Walker, Florian Block
Role Identification for Accurate Analysis in Dota 2. AIIDE (2019)
Adam Katona, Ryan J. Spick, Victoria J. Hodge, Simon Demediuk, Florian Block, Anders Drachen, James Alfred Walker
Time to Die: Death Prediction in Dota 2 using Deep Learning. CoRR (2019)
Myat Aung, Simon Demediuk, Yuan Sun, Ye Tu, Yu Ang, Siva Nekkanti, Shantanu Raghav, Diego Klabjan, Rafet Sifa, Anders Drachen
The trails of Just Cause 2: spatio-temporal player profiling in open-world games. FDG (2019)
Adam Katona, Ryan J. Spick, Victoria J. Hodge, Simon Demediuk, Florian Block, Anders Drachen, James Alfred Walker
Time to Die: Death Prediction in Dota 2 using Deep Learning. CoG (2019)
Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Florian 'Floyd' Mueller, Xiaodong Li
Measuring player skill using dynamic difficulty adjustment. ACSW (2018)
Simon Demediuk, Alexandra Murrin, David W. Bulger, Michael Hitchens, Anders Drachen, William L. Raffe, Marco Tamassia
Player retention in league of legends: a study using survival analysis. ACSW (2018)
Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Xiaodong Li, Florian 'Floyd' Mueller
Monte Carlo tree search based algorithms for dynamic difficulty adjustment. CIG (2017)
Simon Demediuk, William L. Raffe, Xiaodong Li
An Adaptive Training Framework for Increasing Player Proficiency in Games and Simulations. CHI PLAY (Companion) (2016)