| 2021 | CogSci | Comparison Promotes the Spontaneous Transfer of Relational Categories. | Sean Snoddy, Kenneth J. Kurtz |
| 2020 | CogSci | Costly Exceptions: Deviant Exemplars Reduce Category Compression. | Daniel Silliman, Sean Snoddy, Matt Wetzel, Kenneth J. Kurtz |
| 2020 | CogSci | Analogical Transfer and Recognition Memory in Relational Classification Learning. | Sean Snoddy, Kenneth J. Kurtz |
| 2019 | CogSci | Family Resemblance in Unsupervised Categorization: A Dissociation Between Production and Evaluation. | John D. Patterson, Sean Snoddy, Kenneth J. Kurtz |
| 2019 | CogSci | Introducing Recursive Linear Classification (RELIC) for Machine Learning. | Sean Snoddy, Kenneth J. Kurtz |
| 2019 | CogSci | It's Alive! Animate Sources Produce Mnemonic Benefits. | Sean Snoddy, Joseph Wilson, Daniel Silliman, Kenneth Houghton, Deanne Westerman |
| 2018 | CogSci | Relational Categories: Why they're Important and How they are Learned. | Dedre Gentner, Nina Simms, Kenneth J. Kurtz, Garrett Honke, Sean Snoddy, Kenneth D. Forbus, Lindsey E. Richland, Bryan J. Matlen, Emily McLaughlin Lyons, Ellen C. Klostermann |
| 2018 | CogSci | What does a dimension that predicts nothing do to human classification learning? | Sean Snoddy, Kenneth J. Kurtz |
| 2017 | CogSci | Promoting Spontaneous Analogical Transfer: The Role of Category Status. | Sean Snoddy, Kenneth J. Kurtz |
| 2016 | CogSci | The role of higher order relational structure in relational category label extension. | Sean Snoddy, Kenneth J. Kurtz |