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Unsupervised Features for Facial Expression Intensity Estimation over Time., , , and . CoRR, (2018)Wor(l)d-GAN: Towards Natural Language Based PCG in Minecraft, , and . IEEE Transactions on Games, (February 2022)11 pages, 10 figures..Unsupervised Features for Facial Expression Intensity Estimation Over Time., , , and . CVPR Workshops, page 1086-1094. Computer Vision Foundation / IEEE Computer Society, (2018)AI for Romantic Comedies, , , , , , , , , and 1 other author(s). Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 37-39 (January 2023)Language Models for Procedural Content Generation, , , , , , , and . Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 34-37 (January 2023)Explainable AI for Games, , , , , , , , , and 1 other author(s). Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 73-75 (January 2023)TOAD-GAN: A Flexible Framework for Few-Shot Level Generation in Token-Based Games., , and . IEEE Trans. Games, 14 (2): 284-293 (2022)Learning Disentangled Representations via Independent Subspaces., , and . ICCV Workshops, page 560-568. IEEE, (2019)TOAD-GAN: a Flexible Framework for Few-Shot Level Generation in Token-Based Games, , and . IEEE Transactions on Games, (March 2021)10 pages, 14 figures..TOAD-GAN: Coherent Style Level Generation from a Single Example., , and . AIIDE, page 10-16. AAAI Press, (2020)