Browse Items (7 total)

Birant, K. U., & Birant, D. (2022). Multi-Objective Multi-Instance Learning: A New Approach to Machine Learning for eSports. Entropy, 25(1), 28.

Singh, S. (2022). FIFA 2022 game analysis using machine learning & computer vision (Master's thesis, University of Twente).

Švec, O. (2022). Predicting Counter-Strike Game Outcomes with Machine Learning.

Birant, K. U. (2022). Multi‐view rank‐based random forest: A new algorithm for prediction in eSports. Expert Systems, 39(2), e12857.

Białecki, A., Jakubowska, N., Dobrowolski, P., Białecki, P., Krupiński, L., Szczap, A., ... & Gajewski, J. (2022). SC2EGSet: StarCraft II Esport Replay and Game-state Dataset. arXiv preprint arXiv:2207.03428.

Ribeiro, V. M., & Bao, L. (2021). Professionalization of online gaming? theoretical and empirical analysis for a monopoly-holding platform. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 682-708.

Zadtootaghaj, S., Barman, N., Schmidt, S., Martini, M. G., & Möller, S. (2018). NR-GVQM: A no reference gaming video quality metric. In 2018 IEEE International Symposium on Multimedia (ISM) (pp. 131-134). IEEE.