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Romero-Mendez EA, Santana-Mancilla PC, Garcia-Ruiz M, Montesinos-López OA, Anido-Rifón LE. The Use of Deep Learning to Improve Player Engagement in a Video Game through a Dynamic Difficulty Adjustment Based on Skills Classification. Applied Sciences. 2023; 13(14):8249. https://doi.org/10.3390/app13148249

Romero-Mendez, Edwin A., Pedro C. Santana-Mancilla, Miguel Garcia-Ruiz, Osval A. Montesinos-López, and Luis E. Anido-Rifón. 2023. "The Use of Deep Learning to Improve Player Engagement in a Video Game through a Dynamic Difficulty Adjustment Based on Skills Classification" Applied Sciences 13, no. 14: 8249. https://doi.org/10.3390/app13148249

Romero-Mendez, E. A., Santana-Mancilla, P. C., Garcia-Ruiz, M., Montesinos-López, O. A., & Anido-Rifón, L. E. (2023). The Use of Deep Learning to Improve Player Engagement in a Video Game through a Dynamic Difficulty Adjustment Based on Skills Classification. Applied Sciences, 13(14), 8249. https://doi.org/10.3390/app13148249