PEER-REVIEWED PUBLICATIONS

  • Firouzeh Taghikhah, William L. Raffe, George Mitri, Sebastian Du Toit, Alexey Voinov, and Jaime A. Garcia. "Last Island: Exploring Transitions to Sustainable Futures through Play." In Proceedings of the Australasian Computer Science Week Multiconference, p. 41. ACM, 2019. PDF

  • Simon Demediuk, Marco Tamassia, Xiaodong Li, and William L. Raffe. "Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment." In Proceedings of the Australasian Computer Science Week Multiconference, p. 43. ACM, 2019. PDF

  • William L. Raffe, and Jaime A. Garcia. "Combining skeletal tracking and virtual reality for game-based fall prevention training for the elderly." In 2018 IEEE 6th International Conference on Serious Games and Applications for Health (SeGAH), pp. 1-7. IEEE, 2018. PDF

  • Marco Tamassia, Fabio Zambetta, William L. Raffe, Florian Mueller, and Xiaodong Li. "Learning Options From Demonstrations: A Pac-Man Case Study." IEEE Transactions on Games 10, no. 1 (2018): 91-96. PDF

  • Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Florian Floyd Mueller, and Xiaodong Li. "Measuring player skill using dynamic difficulty adjustment." In Proceedings of the Australasian Computer Science Week Multiconference, p. 41. ACM, 2018. PDF

  • Jaime A. Garcia, William L. Raffe, and Karla Felix Navarro. "Assessing user engagement with a fall prevention game as an unsupervised exercise program for older people." In Proceedings of the Australasian Computer Science Week Multiconference, p. 37. ACM, 2018. PDF

  • Simon Demediuk, Alexandra Murrin, David Bulger, Michael Hitchens, Anders Drachen, William L. Raffe, and Marco Tamassia. "Player retention in league of legends: a study using survival analysis." In Proceedings of the Australasian Computer Science Week Multiconference, p. 43. ACM, 2018. PDF

  • Simon Demediuk, Marco Tamassia, William L. Raffe, Fabio Zambetta, Xiaodong Li, and Florian Mueller. "Monte carlo tree search based algorithms for dynamic difficulty adjustment." In Computational Intelligence and Games (CIG), 2017 IEEE Conference on, pp. 53-59. IEEE, 2017. PDF

  • Simon Demediuk, William L. Raffe, and Xiaodong Li. "An adaptive training framework for increasing player proficiency in games and simulations." In Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, pp. 125-131. ACM, 2016. PDF

  • Marco Tamassia, William Raffe, Rafet Sifa, Anders Drachen, Fabio Zambetta, and Michael Hitchens. "Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game." In Computational Intelligence and Games (CIG), 2016 IEEE Conference on, pp. 1-8. IEEE, 2016. PDF

  • Marco Tamassia, Fabio Zambetta, William L. Raffe, F. F. Mueller, and Xiaodong Li. "Dynamic choice of state abstraction in q-learning." In European Conference of Artificial Intelligence (ECAI). IOS Press, 2016. PDF

  • William L. Raffe, Marco Tamassia, Fabio Zambetta, Xiaodong Li, Sarah Jane Pell, and Florian Floyd Mueller. "Player-computer interaction features for designing digital play experiences across six degrees of water contact." In Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, pp. 295-305. ACM, 2015. PDF

  • Jayden Ivanovo, William L. Raffe, Fabio Zambetta, and Xiaodong Li. "Combining Monte Carlo tree search and apprenticeship learning for capture the flag." In Computational Intelligence and Games (CIG), 2015 IEEE Conference on, pp. 154-161. IEEE, 2015. PDF

  • William L. Raffe, Marco Tamassia, Fabio Zambetta, Xiaodong Li, and Florian Floyd Mueller. "Enhancing theme park experiences through adaptive cyber-physical play." In Computational Intelligence and Games (CIG), 2015 IEEE Conference on, pp. 503-510. IEEE, 2015. PDF

  • William L. Raffe, Fabio Zambetta, Xiaodong Li, and Kenneth O. Stanley. "Integrated Approach to Personalized Procedural Map Generation Using Evolutionary Algorithms." IEEE Trans. Comput. Intellig. and AI in Games 7, no. 2 (2015): 139-155. PDF

  • Marco Tamassia, Fabio Zambetta, William Raffe, and Xiaodong Li. "Learning Options for an MDP from Demonstrations." In Australasian Conference on Artificial Life and Computational Intelligence, pp. 226-242. Springer, Cham, 2015. PDF

  • William L. Raffe. "Personalized procedural map generation in games via evolutionary algorithms." ACM SIGEVOlution 7, no. 1 (2014): 27-28.

  • William L. Raffe, Fabio Zambetta, and Xiaodong Li. "Neuroevolution of content layout in the PCG: Angry Bots video game." In Evolutionary Computation (CEC), 2013 IEEE Congress on, pp. 673-680. IEEE, 2013. PDF

  • William L. Raffe, Fabio Zambetta, and Xiaodong Li. "A survey of procedural terrain generation techniques using evolutionary algorithms." In Evolutionary Computation (CEC), 2012 IEEE Congress on, pp. 1-8. IEEE, 2012. PDF

  • William L. Raffe, Fabio Zambetta, and Xiaodong Li. "Evolving patch-based terrains for use in video games." In Proceedings of the 13th annual conference on Genetic and evolutionary computation, pp. 363-370. ACM, 2011. PDF

  • William L. Raffe, Jiankun Hu, Fabio Zambetta, and Kai Xi. "A dual-layer clustering scheme for real-time identification of plagiarized massive multiplayer games (MMG) assets." In Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on, pp. 307-312. IEEE, 2010. PDF

DISSERTATIONS

  • PhD Thesis: Personalized Procedural Map Generation in Games via Evolutionary Algorithms PDF

  • Honours Thesis: Virtual Asset Protection using View-Based Similarity Matching 

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