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Sam Snodgrass
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2020 – today
- 2024
- [j4]Anurag Sarkar
, Matthew Guzdial
Procedural Content Generation via Knowledge Transformation (PCG-KT). IEEE Trans. Games 16(1): 36-50 (2024) - [c30]Sebastian Berns
Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games. CHI 2024: 366:1-366:23 - [i8]Sebastian Berns, Vanessa Volz, Laurissa Tokarchuk, Sam Snodgrass, Christian Guckelsberger:
Not All the Same: Understanding and Informing Similarity Estimation in Tile-Based Video Games. CoRR abs/2402.18728 (2024) - 2023
- [i7]Anurag Sarkar, Matthew Guzdial, Sam Snodgrass, Adam Summerville, Tiago Machado, Gillian Smith:
Procedural Content Generation via Knowledge Transformation (PCG-KT). CoRR abs/2305.00644 (2023) - 2022
- [c29]Aybike Ulusan, Uttkarsh Narayan, Sam Snodgrass, Özlem Ergun, Casper Harteveld:
"Rather Solve the Problem from Scratch": Gamesploring Human-Machine Collaboration for Optimizing the Debris Collection Problem. IUI 2022: 604-619 - 2021
- [j3]Jialin Liu
Deep learning for procedural content generation. Neural Comput. Appl. 33(1): 19-37 (2021) - 2020
- [c28]Anurag Sarkar, Adam Summerville, Sam Snodgrass, Gerard Bentley, Joseph C. Osborn:
Exploring Level Blending Across Platformers via Paths and Affordances. AIIDE 2020: 280-286 - [c27]Adam Summerville, Anurag Sarkar, Sam Snodgrass, Joseph C. Osborn:
Extracting Physics from Blended Platformer Game Levels. AIIDE Workshops 2020 - [c26]Omid Mohaddesi
Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models. CHI 2020: 1-13 - [c25]Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. CoG 2020: 399-406 - [c24]Sam Snodgrass, Anurag Sarkar:
Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders. FDG 2020: 4:1-4:11 - [i6]Vanessa Volz, Niels Justesen, Sam Snodgrass, Sahar Asadi, Sami Purmonen, Christoffer Holmgård, Julian Togelius, Sebastian Risi:
Capturing Local and Global Patterns in Procedural Content Generation via Machine Learning. CoRR abs/2005.12579 (2020) - [i5]Sam Snodgrass, Anurag Sarkar:
Multi-Domain Level Generation and Blending with Sketches via Example-Driven BSP and Variational Autoencoders. CoRR abs/2006.09807 (2020) - [i4]Anurag Sarkar, Adam Summerville, Sam Snodgrass, Gerard Bentley, Joseph C. Osborn:
Exploring Level Blending across Platformers via Paths and Affordances. CoRR abs/2009.06356 (2020) - [i3]Jialin Liu, Sam Snodgrass, Ahmed Khalifa, Sebastian Risi, Georgios N. Yannakakis, Julian Togelius:
Deep Learning for Procedural Content Generation. CoRR abs/2010.04548 (2020)
2010 – 2019
- 2019
- [c23]Giovanni Maria Troiano, Sam Snodgrass, Erinç Argimak, Gregorio Robles
Is My Game OK Dr. Scratch?: Exploring Programming and Computational Thinking Development via Metrics in Student-Designed Serious Games for STEM. IDC 2019: 208-219 - [c22]Sam Snodgrass:
Levels from Sketches with Example-Driven Binary Space Partition. AIIDE 2019: 73-79 - [c21]Borna Fatehi, Christoffer Holmgård, Sam Snodgrass, Casper Harteveld:
Gamifying psychological assessment: insights from gamifying the thematic apperception test. FDG 2019: 3:1-3:12 - [c20]Sam Snodgrass, Omid Mohaddesi
Like PEAS in PoDS: the player, environment, agents, system framework for the personalization of digital systems. FDG 2019: 26:1-26:15 - [c19]Sam Snodgrass, Omid Mohaddesi
Towards a generalized player model through the PEAS framework. FDG 2019: 98:1-98:7 - [c18]Nathan Partlan, Elín Carstensdóttir, Erica Kleinman, Sam Snodgrass, Casper Harteveld, Gillian Smith
Evaluation of an automatically-constructed graph-based representation for interactive narrative. FDG 2019: 100:1-100:9 - [e1]Matthew Guzdial, Joseph C. Osborn, Sam Snodgrass:
Proceedings of the 2nd Workshop on Knowledge Extraction from Games co-located with 33rd AAAI Conference on Artificial Intelligence, KEG@AAAI 2019, Honolulu, Hawaii, January 27th, 2019. CEUR Workshop Proceedings 2313, CEUR-WS.org 2019 [contents] - 2018
- [j2]Adam Summerville
Procedural Content Generation via Machine Learning (PCGML). IEEE Trans. Games 10(3): 257-270 (2018) - [c17]Nathan Partlan, Elín Carstensdóttir, Sam Snodgrass, Erica Kleinman, Gillian Smith, Casper Harteveld, Magy Seif El-Nasr:
Exploratory Automated Analysis of Structural Features of Interactive Narrative. AIIDE 2018: 88-94 - [c16]Sam Snodgrass:
Towards Automatic Extraction of Tile Types from Level Images. AIIDE Workshops 2018 - [c15]Casper Harteveld, Sam Snodgrass, Omid Mohaddesi
The Development of a Methodology for Gamifying Surveys. CHI PLAY (Companion) 2018: 461-467 - 2017
- [j1]Sam Snodgrass, Santiago Ontañón
Learning to Generate Video Game Maps Using Markov Models. IEEE Trans. Comput. Intell. AI Games 9(4): 410-422 (2017) - [c14]Santiago Ontañón, Yi-Ching Lee, Sam Snodgrass, Flaura K. Winston, Avelino J. Gonzalez:
Learning to Predict Driver Behavior from Observation. AAAI Spring Symposia 2017 - [c13]Sam Snodgrass, Santiago Ontañón:
Leveraging Multi-Layer Level Representations for Puzzle-Platformer Level Generation. AIIDE Workshops 2017 - [c12]Sam Snodgrass, Adam Summerville, Santiago Ontañón:
Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation. AIIDE 2017: 122-128 - [c11]Sam Snodgrass, Santiago Ontañón:
Procedural level generation using multi-layer level representations with MdMCs. CIG 2017: 280-287 - [c10]Adam Summerville, Julian R. H. Mariño, Sam Snodgrass, Santiago Ontañón, Levi H. S. Lelis:
Understanding mario: an evaluation of design metrics for platformers. FDG 2017: 8:1-8:10 - [c9]Sam Snodgrass, Santiago Ontañón:
Player Movement Models for Video Game Level Generation. IJCAI 2017: 757-763 - [i2]Adam Summerville, Sam Snodgrass, Matthew Guzdial, Christoffer Holmgård, Amy K. Hoover, Aaron Isaksen, Andy Nealen, Julian Togelius:
Procedural Content Generation via Machine Learning (PCGML). CoRR abs/1702.00539 (2017) - 2016
- [c8]Sam Snodgrass, Santiago Ontañón:
An Approach to Domain Transfer in Procedural Content Generation of Two-Dimensional Videogame Levels. AIIDE 2016: 79-85 - [c7]Sam Snodgrass, Santiago Ontañón:
Controllable Procedural Content Generation via Constrained Multi-Dimensional Markov Chain Sampling. IJCAI 2016: 780-786 - [c6]Sam Snodgrass:
General Statistical Approaches to Procedural Map Generation. IJCAI 2016: 4028-4029 - [i1]Adam James Summerville, Sam Snodgrass, Michael Mateas, Santi Ontañón Villar:
The VGLC: The Video Game Level Corpus. CoRR abs/1606.07487 (2016) - 2015
- [c5]Sam Snodgrass, Santiago Ontañón:
A Hierarchical MdMC Approach to 2D Video Game Map Generation. AIIDE 2015: 205-211 - 2014
- [c4]Sam Snodgrass, Santiago Ontañón:
A Hierarchical Approach to Generating Maps Using Markov Chains. AIIDE 2014 - [c3]Sam Snodgrass, Benjamin Goldberg, Ariel Evans, Brandon Packard, Cathy Lu, Jichen Zhu:
Extended abstract for Canvas Obscura. CHI PLAY 2014: 379-382 - [c2]Sam Snodgrass, Santiago Ontañón:
Experiments in map generation using Markov chains. FDG 2014 - [c1]Santiago Ontañón, Yi-Ching Lee
Case-Based Prediction of Teen Driver Behavior and Skill. ICCBR 2014: 375-389
Coauthor Index
aka: Santi Ontañón Villar
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last updated on 2024-05-19 00:11 CEST by the dblp team
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