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Simon Demediuk
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2020 – today
- 2022
- [c19]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: 23-30 - [c18]Cheng Hao Ke, Haozhang Deng, Congda Xu, Jiong Li, Xingyun Gu, Borchuluun Yadamsuren, Diego Klabjan, Rafet Sifa, Anders Drachen
DOTA 2 match prediction through deep learning team fight models. CoG 2022: 96-103 - 2021
- [c17]Rafet Sifa, Anders Drachen
Archetypal Analysis Based Anomaly Detection for Improved Storytelling in Multiplayer Online Battle Arena Games. ACSW 2021: 24:1-24:8 - [c16]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
What Are You Looking At? Team Fight Prediction Through Player Camera. CoG 2021: 1-8 - [c15]Evelyn T. S. Tan, Alex R. Wade, Athanasios Vasileios Kokkinakis, Georgia Heyes, Simon Demediuk, Anders Drachen:
Less is More: Analysing Communication in Teams of Strangers. HICSS 2021: 1-10 - [c14]Justus Robertson, Athanasios Vasileios Kokkinakis, Jonathan Hook, Ben Kirman, Florian Block, Marian Florin Ursu, Sagarika Patra, Simon Demediuk, Anders Drachen
Wait, But Why?: Assessing Behavior Explanation Strategies for Real-Time Strategy Games. IUI 2021: 32-42 - 2020
- [c13]Ryan J. Spick, Simon Demediuk, James Alfred Walker:
Naive Mesh-to-Mesh Coloured Model Generation using 3D GANs. ACSW 2020: 46:1-46:6 - [c12]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: 63-81 - [c11]Rafet Sifa, Michael Fedell
Retention Prediction in Sandbox Games with Bipartite Tensor Factorization. SAI (1) 2020: 297-308 - [c10]Athanasios Vasileios Kokkinakis, Simon Demediuk, Isabelle Nölle, Oluseyi Olarewaju, Sagarika Patra, Justus Robertson, Peter York, Alan Pedrassoli Chitayat, Alistair Coates, Daniel Slawson
DAX: Data-Driven Audience Experiences in Esports. IMX 2020: 94-105
2010 – 2019
- 2019
- [c9]Simon Demediuk, Marco Tamassia, Xiaodong Li
Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment. ACSW 2019: 43:1-43:7 - [c8]Rishabh Joshi, Varun Gupta, Xinyue Li, Yue Cui, Ziwen Wang, Yaser Norouzzadeh Ravari, Diego Klabjan, Rafet Sifa, Azita Parsaeian, Anders Drachen
A Team Based Player Versus Player Recommender Systems Framework For Player Improvement. ACSW 2019: 45:1-45:7 - [c7]Simon Demediuk, Peter York, Anders Drachen, James Alfred Walker, Florian Block:
Role Identification for Accurate Analysis in Dota 2. AIIDE 2019: 130-138 - [c6]Adam Katona, Ryan J. Spick, Victoria J. Hodge
Time to Die: Death Prediction in Dota 2 using Deep Learning. CoG 2019: 1-8 - [c5]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: 41:1-41:11 - [i1]Adam Katona, Ryan J. Spick, Victoria J. Hodge
Time to Die: Death Prediction in Dota 2 using Deep Learning. CoRR abs/1906.03939 (2019) - 2018
- [c4]Simon Demediuk, Marco Tamassia, William L. Raffe
Measuring player skill using dynamic difficulty adjustment. ACSW 2018: 41:1-41:7 - [c3]Simon Demediuk, Alexandra Murrin, David W. Bulger
Player retention in league of legends: a study using survival analysis. ACSW 2018: 43:1-43:9 - 2017
- [c2]Simon Demediuk, Marco Tamassia, William L. Raffe
Monte Carlo tree search based algorithms for dynamic difficulty adjustment. CIG 2017: 53-59 - 2016
- [c1]Simon Demediuk, William L. Raffe, Xiaodong Li:
An Adaptive Training Framework for Increasing Player Proficiency in Games and Simulations. CHI PLAY (Companion) 2016: 125-131
Coauthor Index
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