William L. Raffe
Title
Cited by
Cited by
Year
A survey of procedural terrain generation techniques using evolutionary algorithms
WL Raffe, F Zambetta, X Li
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
322012
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
292017
Predicting Player Churn in Destiny: A Hidden Markov Models Approach to Predicting Player Departure in a Major Online Game
M Tamassia, W Raffe, R Sifa, A Drachen, F Zambetta, M Hitchens
Computational Intelligence and Games (CIG), 2016 IEEE Conference on, 2016
242016
Evolving patch-based terrains for use in video games
WL Raffe, F Zambetta, X Li
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
202011
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
Player-computer interaction features for designing digital play experiences across six degrees of water contact
WL Raffe, M Tamassia, F Zambetta, X Li, SJ Pell, FF Mueller
Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in …, 2015
152015
Neuroevolution of content layout in the PCG: Angry Bots video game
WL Raffe, F Zambetta, X Li
2013 IEEE Congress on Evolutionary Computation, 673-680, 2013
152013
Integrated approach to personalized procedural map generation using evolutionary algorithms
WL Raffe, F Zambetta, X Li, KO Stanley
IEEE Transactions on Computational Intelligence and AI in Games 7 (2), 139-155, 2014
132014
Rafet Sifa, Anders Drachen, Fabio Zambetta, and Michael Hitchens. 2016. Predicting player churn in destiny: A hidden Markov models approach to predicting player departure in a …
M Tamassia, W Raffe
2016 IEEE Conference on Computational Intelligence and Games (CIG). IEEE, 1-8, 2016
72016
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
Enhancing theme park experiences through adaptive cyber-physical play
WL Raffe, M Tamassia, F Zambetta, X Li, FF Mueller
2015 IEEE Conference on Computational Intelligence and Games (CIG), 503-510, 2015
62015
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
Reducing perceived waiting time in theme park queues via an augmented reality game
F Zambetta, W Raffe, M Tamassia, FF Mueller, X Li, N Quinten, ...
ACM Transactions on Computer-Human Interaction (TOCHI) 27 (1), 1-30, 2020
42020
Assessment of manual dexterity in VR: Towards a fully automated version of the box and blocks test
ED Oña, JA García, W Raffe, A Jardón, C Balaguer
Studies in Health Technology and Informatics 266, 57-62, 2019
42019
Assessing user engagement with a fall prevention game as an unsupervised exercise program for older people
JA Garcia, WL Raffe, KF Navarro
Proceedings of the Australasian Computer Science Week Multiconference, 1-8, 2018
42018
Learning Options From Demonstrations: A Pac-Man Case Study
M Tamassia, F Zambetta, WL Raffe, F Mueller, X Li
IEEE Transactions on Games 10 (1), 91-96, 2017
42017
Learning options for an MDP from demonstrations
M Tamassia, F Zambetta, W Raffe, X Li
Australasian Conference on Artificial Life and Computational Intelligence …, 2015
42015
Combining Monte Carlo tree search and apprenticeship learning for capture the flag
J Ivanovo, WL Raffe, F Zambetta, X Li
2015 IEEE Conference on Computational Intelligence and Games (CIG), 154-161, 2015
42015
A dual-layer clustering scheme for real-time identification of plagiarized massive multiplayer games (MMG) assets
W Raffe, J Hu, F Zambetta, K Xi
2010 5th IEEE Conference on Industrial Electronics and Applications, 307-312, 2010
42010
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Articles 1–20