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Dungeon Digger: Apprenticeship Learning for Procedural Dungeon Building Agents.

, and . CHI PLAY (Companion), page 603-610. ACM, (2018)

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Iceberg: dynamic analysis of Java synchronized methods for investigating runtime performance variability., and . ISSTA/ECOOP Workshops, page 119-124. ACM, (2018)Dynamic Vertex Hierarchies for Parallel View-Dependent Progressive Meshes., and . SIGGRAPH Posters, page 58:1-58:2. ACM, (2022)Critical Section Investigator: Building Story Visualizations with Program Traces., and . VISSOFT, page 136-140. IEEE Computer Society, (2016)Dungeon Digger: Apprenticeship Learning for Procedural Dungeon Building Agents., and . CHI PLAY (Companion), page 603-610. ACM, (2018)DrAsync: Identifying and Visualizing Anti-Patterns in Asynchronous JavaScript., , , and . ICSE, page 774-785. ACM, (2022)Daisen: A Framework for Visualizing Detailed GPU Execution., , , , , and . Comput. Graph. Forum, 40 (3): 239-250 (2021)An Interactive Microarray Call-Graph Visualization., and . VISSOFT, page 86-90. IEEE Computer Society, (2016)Lib Metamorphosis: A Performance Analysis Framework for Exchanging Data Structures in Performance Sensitive Applications.. ICSME, page 379-381. IEEE, (2019)Combating Run-time Performance Bugs with Performance Claim Annotations., and . Softwaretechnik-Trends, 40 (3): 25-27 (2020)Teaching Assistant Training: An Adjustable Curriculum for Computing Disciplines., and . SIGCSE (1), page 430-436. ACM, (2023)