| 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 | 65 | 2019 |
| Dax: Data-driven audience experiences in esports AV Kokkinakis, S Demediuk, I Nölle, O Olarewaju, S Patra, J Robertson, ... Proceedings of the 2020 ACM International Conference on Interactive Media …, 2020 | 62 | 2020 |
| 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 | 62 | 2017 |
| 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 | 46 | 2018 |
| 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 | 41 | 2019 |
| Metagaming and metagames in Esports A Kokkinakis, P York, MS Patra, J Robertson, B Kirman, A Coates, ... International Journal of Esports 1 (1), 2021 | 28 | 2021 |
| 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 | 25 | 2019 |
| 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 | 22 | 2019 |
| Wait, but why?: assessing behavior explanation strategies for real-time strategy games J Robertson, AV Kokkinakis, J Hook, B Kirman, F Block, MF Ursu, S Patra, ... Proceedings of the 26th International Conference on Intelligent User …, 2021 | 19 | 2021 |
| 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 | 18 | 2018 |
| WARDS: Modelling the Worth of Vision in MOBA’s A Pedrassoli Chitayat, A Kokkinakis, S Patra, S Demediuk, J Robertson, ... Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume …, 2020 | 16 | 2020 |
| 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 | 13 | 2020 |
| Time to Die 2: Improved in-game death prediction in Dota 2 C Ringer, S Missaoui, VJ Hodge, AP Chitayat, A Kokkinakis, S Patra, ... Machine Learning with Applications 12, 100466, 2023 | 12 | 2023 |
| Cross-cultural patterns in mobile playtime: an analysis of 118 billion hours of human data D Zendle, C Flick, D Halgarth, N Ballou, S Demediuk, A Drachen Scientific reports 13 (1), 386, 2023 | 12 | 2023 |
| What are you looking at? Team fight prediction through player camera M Tot, M Conserva, AP Chitayat, A Kokkinakis, S Patra, S Demediuk, ... 2021 IEEE Conference on Games (CoG), 1-8, 2021 | 12 | 2021 |
| Performance index: A new way to compare players S Demediuk, A Kokkinakis, MS Patra, J Robertson, B Kirman, A Coates, ... 2021 MIT Sloan Sports Analytics Conference. IEEE, 2021 | 12 | 2021 |
| DOTA 2 match prediction through deep learning team fight models CH Ke, H Deng, C Xu, J Li, X Gu, B Yadamsuren, D Klabjan, R Sifa, ... 2022 IEEE Conference on Games (CoG), 96-103, 2022 | 11 | 2022 |
| Archetypal analysis based anomaly detection for improved storytelling in multiplayer online battle arena games R Sifa, A Drachen, F Block, S Moon, A Dubhashi, H Xiao, Z Li, D Klabjan, ... Proceedings of the 2021 Australasian Computer Science Week Multiconference, 1-8, 2021 | 11 | 2021 |
| 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 | 11 | 2016 |
| Anomaly detection in player performances in multiplayer online battle arena games X Qian, R Sifa, X Liu, S Ganguly, B Yadamsuren, D Klabjan, A Drachen, ... Proceedings of the 2022 Australasian Computer Science Week, 23-30, 2022 | 7 | 2022 |
Anders DrachenProfessor, SDU Metaverse Lab, University of Southern DenmarkEmail verificata su york.ac.uk