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• Turning the AI Microscope on the Brain
  Turning the AI Microscope on the BrainDixen, L., 2026, 333 p.Research output: Theses › PhD thesis
• An ML-Driven Large Neighborhood Search Framework for Container Vessel Stowage Planning
  An ML-Driven Large Neighborhood Search Framework for Container Vessel Stowage PlanningTwiller, J. V., Grbic, D. & Jensen, R. M., 8 Sept 2025, Book of Abstracts ICCLEuroMar2025 conference.Research output: Conference Article in Proceeding or Book/Report chapter › Conference abstract in proceedings › Research › peer-review
• 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
• AI-Driven Neighborhood Selection in Large Neighborhood Search for Representative Container Vessel Stowage Planning
  AI-Driven Neighborhood Selection in Large Neighborhood Search for Representative Container Vessel Stowage PlanningTwiller, J. V., Grbic, D. & Jensen, R. M., 22 Jun 2025, Book of Abstracts EURO 2025 Leeds conference.Research output: Conference Article in Proceeding or Book/Report chapter › Conference abstract 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
• 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 › […]
• 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
• Using Biometrics to Understand AI-Assisted Coding Performance and its Perception - a Registered Report
  Using Biometrics to Understand AI-Assisted Coding Performance and its Perception - a Registered ReportBrix Koch, N., Helth Stensgaard, T., Tell, P., Burelli, P., Desaphy, G. A., Romano, A. A., Novielli, N. & Cefalato, F., 2025. 10 p.Research output: Contribution to conference - NOT published in proceeding or journal › Paper › Research › peer-review
• 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 […]
• 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 › […]
• 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
• 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
• 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