Marco Tamassia

Orcid: 0000-0001-6567-1380

According to our database1, Marco Tamassia authored at least 14 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2020
Reducing Perceived Waiting Time in Theme Park Queues via an Augmented Reality Game.
ACM Trans. Comput. Hum. Interact., 2020

2019
Challenging AI: Evaluating the Effect of MCTS-Driven Dynamic Difficulty Adjustment on Player Enjoyment.
Proceedings of the Australasian Computer Science Week Multiconference, 2019

2018
Learning Options From Demonstrations: APac-ManCase Study.
IEEE Trans. Games, 2018

Measuring player skill using dynamic difficulty adjustment.
Proceedings of the Australasian Computer Science Week Multiconference, 2018

Player retention in league of legends: a study using survival analysis.
Proceedings of the Australasian Computer Science Week Multiconference, 2018

2017
Monte Carlo tree search based algorithms for dynamic difficulty adjustment.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2017

2016
Directional Visual Descriptors and Multirobot Strategies for Large-Scale Coverage Problems.
J. Field Robotics, 2016

Dynamic Choice of State Abstraction in Q-Learning.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game.
Proceedings of the IEEE Conference on Computational Intelligence and Games, 2016

2015
Enhancing theme park experiences through adaptive cyber-physical play.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Player-Computer Interaction Features for Designing Digital Play Experiences across Six Degrees of Water Contact.
Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, 2015

Learning Options for an MDP from Demonstrations.
Proceedings of the Artificial Life and Computational Intelligence, 2015

2014
A directional visual descriptor for large-scale coverage problems.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013
Visual coverage using autonomous mobile robots for search and rescue applications.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2013


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