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  • On the Dynamics of Affective States During Play and the Role of Confusion.
    On the Dynamics of Affective States During Play and the Role of Confusion.Volden, T. V. S., Jarma Montoya, O., Scirea, M. & Burelli, P., 19 Aug 2025, Proceedings of the 2025 IEEE Conference on Games. IEEE, p. 1-4 4 p.Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › peer-review
  • Using Psychophysiological Insights to Evaluate the Impact of Loot Boxes on Arousal
    Using Psychophysiological Insights to Evaluate the Impact of Loot Boxes on ArousalTedeschi, G., Nielsen, R. K. L. & Burelli, P., Aug 2025, 2025 IEEE Conference on Games. IEEE, Vol. abs/2507.04906. Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Learning and Combinatorial Optimization for Efficient Container Vessel Stowage Planning
    Learning and Combinatorial Optimization for Efficient Container Vessel Stowage Planningvan Twiller, J., 14 May 2025, 206 p.Research output: Theses › PhD thesis
  • Exploring Deep Learning Models for EEG Neural Decoding
    Exploring Deep Learning Models for EEG Neural DecodingDixen, L., Heinrich, S. & Burelli, P., 2025, International Symposium on Artificial Intelligence and Neuroscience. Springer, p. 162-175 14 p. (Lecture Notes in Computer Science).Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › peer-review
  • Don’t Get Too Excited - Eliciting Emotions in LLMs
    Don’t Get Too Excited - Eliciting Emotions in LLMsFazzi, G. F., Skoven Hinge, J., Heinrich, S. & Burelli, P., 2025, Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 9 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Exploring the Temporal Dynamics of Facial Mimicry in Emotion Processing Using Action Units
    Exploring the Temporal Dynamics of Facial Mimicry in Emotion Processing Using Action UnitsSeikavandi, M. J., Fimland, J., Barrett, M. J. & Burelli, P., 2025, 2025 IEEE International Conference on Automatic Face and Gesture. IEEE, (IEEE International Conference on Automatic Face and Gesture).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › […]
  • AntiCheatPT: A Transformer-Based Approach to Cheat Detection in Competitive Computer Games
    AntiCheatPT: A Transformer-Based Approach to Cheat Detection in Competitive Computer GamesLoo, M. M. Z., Lužkov, G. & Burelli, P., 2025, 2025 IEEE Conference on Games. IEEEResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Evaluating Quality of Gaming Narratives Co-created with AI
    Evaluating Quality of Gaming Narratives Co-created with AIValdivia Martinez, A. & Burelli, P., 2025, Proceedings of the 2025 IEEE Conference on Games. IEEEResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Children’s expressed emotions during playful learning games
    Children’s expressed emotions during playful learning gamesVolden, T. V. S. & Burelli, P., 7 Oct 2024, European Conference on Game Based Learning. Vol. 18. 9 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • PPSTOW: An End-to-End Deep Reinforcement Learning Model for Master Stowage Planning on Container Vessels
    PPSTOW: An End-to-End Deep Reinforcement Learning Model for Master Stowage Planning on Container Vesselsvan Twiller, J., Grbic, D. & Jensen, R. M., 30 Jun 2024.Research output: Contribution to conference - NOT published in proceeding or journal › Conference abstract for conference › Research › peer-review
  • Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration
    Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art ExplorationMeyer, L. S., Engel Aaen, J., Tranberg, A. R., Kun, P., Freiberger, M., Risi, S. & Løvlie, A. S., 11 May 2024, Algorithmic Ways of Seeing: Using Object Detection to Facilitate Art Exploration. p. 1-18 18 p. (ACM Annual Conference on Human Factors in Computing […]
  • Introducing AI Experience: Games UX in the Age of Generative AI
    Introducing AI Experience: Games UX in the Age of Generative AIDrachen, A., Burelli, P., Kallabis, L. & Melhart, D., 2024, Report from Dagstuhl Seminar 24261.Research output: Conference Article in Proceeding or Book/Report chapter › Report chapter › Research
  • Small, Safe LLMs for In-Game Generation
    Small, Safe LLMs for In-Game GenerationVeale, T., Burelli, P., Hoover, A. K., Liapis, A., Mountain, G. & Skubch, H., 2024, Report from Dagstuhl Seminar 24261. p. 206-208 Research output: Conference Article in Proceeding or Book/Report chapter › Report chapter › Research
  • Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated Data
    Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated DataKristensen, J. T. & Burelli, P., 2024, In: International Journal of Computer Games Technology. 14 p.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
  • Deep Reinforcement Learning for Master Stowage Planning
    Deep Reinforcement Learning for Master Stowage Planningvan Twiller, J., Grbic, D. & Jensen, R. M., 2024, ODYSSEUS 2024: International Workshop on Freight Transportation and Logistics. 9th ed. Carmona, SpainResearch output: Conference Article in Proceeding or Book/Report chapter › Conference abstract in proceedings › Research › peer-review
  • Modeling Face Emotion Perception from Naturalistic Face Viewing: Insights from Fixational Events and Gaze Strategies
    Modeling Face Emotion Perception from Naturalistic Face Viewing: Insights from Fixational Events and Gaze StrategiesSeikavandi, M. J., Barrett, M. J. & Burelli, P., 2024, Recent Advances in Deep Learning Applications: New Techniques and Practical Examples. Taylor & Francis, Vol. 1. Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › […]
  • Hades Again and Again: A Study on Frustration Tolerance, Physiology and Player Experience
    Hades Again and Again: A Study on Frustration Tolerance, Physiology and Player ExperienceFrost Jensen, M., Dixen, L. & Burelli, P., 2024, Lecture Notes in Computer Science: Proceedings of ACG 2023 . Springer, Vol. 14528. (Lecture Notes in Computer Science).Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
  • Bio-Inspired Approaches to Adaptive Artificial Agents
    Bio-Inspired Approaches to Adaptive Artificial AgentsWinther Pedersen, J., 23 Oct 2023, Copenhagen: IT University of Copenhagen. 225 p.Research output: Theses › PhD thesis
  • Probabilistic Modeling for Game Content Creation and Adaption
    Probabilistic Modeling for Game Content Creation and AdaptionDuque, M. G., 1 Aug 2023, 1 ed. Copenhagen: IT-Universitetet i København. 152 p.Research output: Theses › PhD thesis
  • CastNet: a systems-level sequence evolution simulator
    CastNet: a systems-level sequence evolution simulatorRivera-Rivera, C. J. & Grbic, D., 12 Jun 2023, In: BMC Bioinformatics. 8 p., 247.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review