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ORCIDJeppe Theiss Kristensen
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Journal Articles
- 2024
[j2]Jeppe Theiss Kristensen, Paolo Burelli:
Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated Data. Int. J. Comput. Games Technol. 2024 (2024)- [j1]Jeppe Theiss Kristensen, Paolo Burelli:
Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated Data. Int. J. Comput. Games Technol. 2024 (2024)
Conference and Workshop Papers
- 2022
- [c6]Jeppe Theiss Kristensen, Christian Guckelsberger
, Paolo Burelli, Perttu Hämäläinen:
Personalized Game Difficulty Prediction Using Factorization Machines. UIST 2022: 88:1-88:13 - 2021
- [c5]Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli:
Statistical Modelling of Level Difficulty in Puzzle Games. CoG 2021: 1-8 - 2020
- [c4]Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli:
Estimating Player Completion Rate in Mobile Puzzle Games Using Reinforcement Learning. CoG 2020: 636-639 - [c3]Jeppe Theiss Kristensen, Paolo Burelli:
Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games. FDG 2020: 2:1-2:10 - [c2]Andreas Hald, Jens Struckmann Hansen, Jeppe Kristensen, Paolo Burelli:
Procedural Content Generation of Puzzle Games using Conditional Generative Adversarial Networks. FDG 2020: 99:1-99:9 - 2019
- [c1]Jeppe Theiss Kristensen, Paolo Burelli:
Combining Sequential and Aggregated Data for Churn Prediction in Casual Freemium Games. CoG 2019: 1-8
Informal and Other Publications
- 2024
- [i7]Jeppe Theiss Kristensen, Paolo Burelli:
Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated Data. CoRR abs/2401.17436 (2024) - 2023
- [i6]Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli:
Estimating player completion rate in mobile puzzle games using reinforcement learning. CoRR abs/2306.14626 (2023) - [i5]Andreas Hald, Jens Struckmann Hansen, Jeppe Kristensen, Paolo Burelli:
Procedural content generation of puzzle games using conditional generative adversarial networks. CoRR abs/2306.15696 (2023) - 2022
- [i4]Jeppe Theiss Kristensen, Paolo Burelli:
Combining Sequential and Aggregated Data for Churn Prediction in Casual Freemium Games. CoRR abs/2209.03184 (2022) - [i3]Jeppe Theiss Kristensen, Christian Guckelsberger, Paolo Burelli, Perttu Hämäläinen:
Personalized Game Difficulty Prediction Using Factorization Machines. CoRR abs/2209.13495 (2022) - 2021
- [i2]Jeppe Theiss Kristensen, Arturo Valdivia, Paolo Burelli:
Statistical Modelling of Level Difficulty in Puzzle Games. CoRR abs/2107.03305 (2021) - 2020
- [i1]Jeppe Theiss Kristensen, Paolo Burelli:
Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games. CoRR abs/2007.01542 (2020)
Coauthor Index
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