prof.dr.ir. Pieter Spronck

Croucher, C., Powell, W., Stevens, B., Miller-Dicks, M., Powell, V., Wiltshire, T., & Spronck, P. (Accepted/In press). LoCoMoTe – a Framework for Classification of Natural Locomotion in VR by Task, Technique and Modality. IEEE Transactions on Visualization and Computer Graphics.

Guglielmo, G., Klincewicz, M., Veld, E. H. I. ., & Spronck, P. (2023). Predicting Tetris Performance Using Early Keystrokes. In P. Lopes, F. Luz, A. Liapis, & H. Engstrom (Eds.), Proceedings of the 18th International Conference on the Foundations of Digital Games, FDG 2023 (pp. 1-4). Article 46 (ACM International Conference Proceeding Series). ACM.

Mavromoustakos Blom, P., Melhart, D., Liapis, A., Yannakakis, G., Bakkes, S., & Spronck, P. (2023). Multiplayer Tension In the Wild: A Hearthstone Case. 1-9. Paper presented at Foundations of Digital Games.

Pourmostafa Roshan Sharami, J., Shterionov, D., & Spronck, P. (2023). A Python Tool for Selecting Domain-Specific Data in Machine Translation. In Proceedings of the 1st Workshop on Open Community-Driven Machine Translation (pp. 35-36). Universitat d’Alacant. https://hplt-project.org/static/media/proceedings.37b7e88ce3dbab99adf9.pdf#page=35

Sharami, J. P. R., Shterionov, D., & Spronck, P. (2023). A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation. Manuscript submitted for publication.