Simon Demediuk
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Zitiert von
Zitiert von
Jahr
Monte carlo tree search based algorithms for dynamic difficulty adjustment
S Demediuk, M Tamassia, WL Raffe, F Zambetta, X Li, F Mueller
2017 IEEE conference on computational intelligence and games (CIG), 53-59, 2017
282017
Player retention in league of legends: a study using survival analysis
S Demediuk, A Murrin, D Bulger, M Hitchens, A Drachen, WL Raffe, ...
Proceedings of the Australasian Computer Science Week Multiconference, 1-9, 2018
162018
Time to Die: Death Prediction in Dota 2 using Deep Learning
A Katona, R Spick, VJ Hodge, S Demediuk, F Block, A Drachen, ...
2019 IEEE Conference on Games (CoG), 1-8, 2019
102019
Challenging ai: Evaluating the effect of mcts-driven dynamic difficulty adjustment on player enjoyment
S Demediuk, M Tamassia, X Li, WL Raffe
Proceedings of the Australasian Computer Science Week Multiconference, 1-7, 2019
62019
Measuring player skill using dynamic difficulty adjustment
S Demediuk, M Tamassia, WL Raffe, F Zambetta, FF Mueller, X Li
Proceedings of the Australasian Computer Science Week Multiconference, 1-7, 2018
62018
The trails of Just Cause 2: spatio-temporal player profiling in open-world games
M Aung, S Demediuk, Y Sun, Y Tu, Y Ang, S Nekkanti, S Raghav, ...
Proceedings of the 14th International Conference on the Foundations of …, 2019
52019
An adaptive training framework for increasing player proficiency in games and simulations
S Demediuk, WL Raffe, X Li
Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in …, 2016
52016
Role Identification for Accurate Analysis in Dota 2
S Demediuk, P York, A Drachen, JA Walker, F Block
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2019
32019
Naive Mesh-to-Mesh Coloured Model Generation using 3D GANs
R Spick, S Demediuk, J Alfred Walker
Proceedings of the Australasian Computer Science Week Multiconference, 1-6, 2020
12020
A team based player versus player recommender systems framework for player improvement
R Joshi, V Gupta, X Li, Y Cui, Z Wang, YN Ravari, D Klabjan, R Sifa, ...
Proceedings of the Australasian Computer Science Week Multiconference, 1-7, 2019
12019
Using MBSE to Understand the Link between Capability Acquisition Projects and DSTO Technology Advice
SP Demeduik, W Power, B Morris
DEFENSE SCIENCE AND TECHNOLOGY ORGANIZATION VICTORIA (AUSTRALIA) MARITIME …, 2012
12012
WARDS: Modelling the Worth of Vision in MOBA’s
AP Chitayat, A Kokkinakis, S Patra, S Demediuk, J Robertson, ...
Science and Information Conference, 63-81, 2020
2020
Retention Prediction in Sandbox Games with Bipartite Tensor Factorization
R Sifa, M Fedell, N Franklin, D Klabjan, S Ram, A Venugopal, ...
Science and Information Conference, 297-308, 2020
2020
Retention Prediction in Sandbox Games with Bipartite Tensor Factorization
S Ram, A Venugopal, S Demediuk, A Drachen
Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume …, 2020
2020
WARDS: Modelling the Worth of Vision in MOBA’s
S Demediuk, J Robertson, O Olarewaju, M Ursu, B Kirmann, J Hook, ...
Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume …, 2020
2020
DAX: Data-Driven Audience Experiences in Esports
A Kokkinakis, SP Demediuk, I Nölle, O Olarewaju, S Patra, J Robertson, ...
Proceedings of ACM International Conference on Interactive Media Experience …, 2020
2020
Less is More:: Analysing Communication in Teams of Strangers
E Tan, A Wade, A Kokkinakis, G Heyes, SP Demediuk, A Drachen
Proceedings of HICSS 54, 0
Autoencoder-augmented Neuroevolution for Visual Doom Playing........................ 1 Samuel Alvernaz and Julian Togelius Measuring Strategic Depth in Games Using Hierarchical …
D Ashlock, D Perez-Liebana, A Saunders, A Baldwin, S Dahlskog, J Font, ...
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