A Hierarchical Approach to Generating Maps Using Markov Chains. - Sam Snodgrass; Santiago Ontañón (AIIDE, 2014)

Extended abstract for Canvas Obscura. - Sam Snodgrass; Benjamin Goldberg 002; Ariel Evans; Brandon Packard; Cathy Lu; Jichen Zhu (CHI PLAY, 2014)

Experiments in map generation using Markov chains. - Sam Snodgrass; Santiago Ontañón (FDG, 2014)

Case-Based Prediction of Teen Driver Behavior and Skill. - Santiago Ontañón; Yi-Ching Lee; Sam Snodgrass; Dana Bonfiglio; Flaura K. Winston; Catherine McDonald; Avelino J. Gonzalez (ICCBR, 2014)

A Hierarchical MdMC Approach to 2D Video Game Map Generation. - Sam Snodgrass; Santiago Ontañón (AIIDE, 2015)

An Approach to Domain Transfer in Procedural Content Generation of Two-Dimensional Videogame Levels. - Sam Snodgrass; Santiago Ontañón (AIIDE, 2016)

General Statistical Approaches to Procedural Map Generation. - Sam Snodgrass (IJCAI, 2016)

Controllable Procedural Content Generation via Constrained Multi-Dimensional Markov Chain Sampling. - Sam Snodgrass; Santiago Ontañón (IJCAI, 2016)

The VGLC: The Video Game Level Corpus. - Adam James Summerville; Sam Snodgrass; Michael Mateas; Santi Ontañón Villar (CoRR, 2016)

Learning to Predict Driver Behavior from Observation. - Santiago Ontañón; Yi-Ching Lee; Sam Snodgrass; Flaura K. Winston; Avelino J. Gonzalez (AAAI Spring Symposia, 2017)

Leveraging Multi-Layer Level Representations for Puzzle-Platformer Level Generation. - Sam Snodgrass; Santiago Ontañón (AIIDE Workshops, 2017)

Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation. - Sam Snodgrass; Adam Summerville; Santiago Ontañón (AIIDE, 2017)

Procedural level generation using multi-layer level representations with MdMCs. - Sam Snodgrass; Santiago Ontañón (CIG, 2017)

Understanding mario: an evaluation of design metrics for platformers. - Adam Summerville; Julian R. H. Mariño; Sam Snodgrass; Santiago Ontañón; Levi H. S. Lelis (FDG, 2017)

Player Movement Models for Video Game Level Generation. - Sam Snodgrass; Santiago Ontañón (IJCAI, 2017)

Learning to Generate Video Game Maps Using Markov Models. - Sam Snodgrass; Santiago Ontañón (IEEE Trans. Comput. Intell. AI Games, 2017)

Exploratory Automated Analysis of Structural Features of Interactive Narrative. - Nathan Partlan; Elín Carstensdóttir; Sam Snodgrass; Erica Kleinman; Gillian Smith 001; Casper Harteveld; Magy Seif El-Nasr (AIIDE, 2018)

Towards Automatic Extraction of Tile Types from Level Images. - Sam Snodgrass (AIIDE Workshops, 2018)

The Development of a Methodology for Gamifying Surveys. - Casper Harteveld; Sam Snodgrass; Omid Mohaddesi; Jack Hart; Tyler Corwin; Guillermo Romera Rodriguez (CHI PLAY (Companion), 2018)

Procedural Content Generation via Machine Learning (PCGML). - Adam Summerville; Sam Snodgrass; Matthew Guzdial; Christoffer Holmgård; Amy K. Hoover; Aaron Isaksen; Andy Nealen; Julian Togelius (IEEE Trans. Games, 2018)

Is My Game OK Dr. Scratch?: Exploring Programming and Computational Thinking Development via Metrics in Student-Designed Serious Games for STEM. - Giovanni Maria Troiano; Sam Snodgrass; Erinç Argimak; Gregorio Robles; Gillian Smith 001; Michael P. Cassidy; Eli Tucker-Raymond; Gillian Puttick; Casper Harteveld (IDC, 2019)

Levels from Sketches with Example-Driven Binary Space Partition. - Sam Snodgrass (AIIDE, 2019)

Gamifying psychological assessment: insights from gamifying the thematic apperception test. - Borna Fatehi; Christoffer Holmgård; Sam Snodgrass; Casper Harteveld (FDG, 2019)

Evaluation of an automatically-constructed graph-based representation for interactive narrative. - Nathan Partlan; Elín Carstensdóttir; Erica Kleinman; Sam Snodgrass; Casper Harteveld; Gillian Smith 001; Camillia Matuk; Steven C. Sutherland; Magy Seif El-Nasr (FDG, 2019)

Towards a generalized player model through the PEAS framework. - Sam Snodgrass; Omid Mohaddesi; Casper Harteveld (FDG, 2019)

Like PEAS in PoDS: the player, environment, agents, system framework for the personalization of digital systems. - Sam Snodgrass; Omid Mohaddesi; Jack Hart; Guillermo Romera Rodriguez; Christoffer Holmgård; Casper Harteveld (FDG, 2019)

Exploring Level Blending Across Platformers via Paths and Affordances. - Anurag Sarkar; Adam Summerville; Sam Snodgrass; Gerard Bentley; Joseph C. Osborn (AIIDE, 2020)

Extracting Physics from Blended Platformer Game Levels. - Adam Summerville; Anurag Sarkar; Sam Snodgrass; Joseph C. Osborn (AIIDE Workshops, 2020)

Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models. - Omid Mohaddesi; Yifan Sun 002; Rana Azghandi; Rozhin Doroudi; Sam Snodgrass; Özlem Ergun; Jacqueline A. Griffin; David R. Kaeli; Stacy Marsella; Casper Harteveld (CHI, 2020)

Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. - Vanessa Volz; Niels Justesen; Sam Snodgrass; Sahar Asadi; Sami Purmonen; Christoffer Holmgård; Julian Togelius; Sebastian Risi (CoG, 2020)

Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders. - Sam Snodgrass; Anurag Sarkar (FDG, 2020)

Deep learning for procedural content generation. - Jialin Liu 001; Sam Snodgrass; Ahmed Khalifa 001; Sebastian Risi; Georgios N. Yannakakis; Julian Togelius (Neural Comput. Appl., 2021)

"Rather Solve the Problem from Scratch": Gamesploring Human-Machine Collaboration for Optimizing the Debris Collection Problem. - Aybike Ulusan; Uttkarsh Narayan; Sam Snodgrass; Özlem Ergun; Casper Harteveld (IUI, 2022)

Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games. - Sebastian Berns; Vanessa Volz; Laurissa Tokarchuk; Sam Snodgrass; Christian Guckelsberger (CHI, 2024)

Procedural Content Generation via Knowledge Transformation (PCG-KT). - Anurag Sarkar; Matthew Guzdial; Sam Snodgrass; Adam Summerville; Tiago Machado; Gillian Smith 001 (IEEE Trans. Games, 2024)

Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors. - Niels Justesen; Maria Kaselimi; Sam Snodgrass; Miruna Vozaru; Matthew Schlegel; Jonas Wingren; Gabriella A. B. Barros; Tobias Mahlmann; Shyam Sudhakaran; Wesley Kerr; Albert Wang; Christoffer Holmgård; et al. (CoRR, 2025)