Kenneth J. Kurtz

64 papers B 51Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Improving Category Learning through Graded Classification. CogSci Mercury K. Mason, Kenneth J. Kurtz
2025	B	`conf`	Investigating False Memory in the DRM Paradigm with Relational Category Content. CogSci Alexus S. Longo, Kenneth J. Kurtz
2025	J	`jnl`	Simple Auto-Associative Networks Succeed at Universal Generalization of the Identity Function and Reduplication Rule. Cogn. Sci. Kenneth J. Kurtz
2024	B	`conf`	Abstracted Gaussian Prototypes for One-Shot Concept Learning. CogSci Chelsea Zou, Kenneth J. Kurtz
2024	J	`jnl`	Abstracted Gaussian Prototypes for One-Shot Concept Learning. CoRR Chelsea Zou, Kenneth J. Kurtz
2024	B	`conf`	Do People Know More Than Exemplar Models Would Predict? CogSci Josh C. Glass, Kenneth J. Kurtz
2024	B	`conf`	Remembering better: A bridge between paired-associate learning and higher-order cognition. CogSci Keith L. Sherman, Kenneth J. Kurtz
2023	B	`conf`	Alternation as a Relational Category. CogSci Josh C. Glass, Alexus S. Longo, Kenneth J. Kurtz
2023	B	`conf`	Conceptual Integration and Semantic Relational Processing as Study Tasks to Promote Cued-Recall of Word Pairs. CogSci Keith L. Sherman, Kenneth J. Kurtz
2023	B	`conf`	Modeling Human Performance on SHJ Category Structures with a Divergent Autoencoder. CogSci Josh C. Glass, Mercury K. Mason, Kenneth J. Kurtz
2023	B	`conf`	Release from Proactive Interference with Relational Categories Versus Traditional Entity Categories. CogSci Alexus S. Longo, Kenneth J. Kurtz
2023	B	`conf`	Sustaining Relational Preference in a Repeated Relational Match-to-Sample Task in the Absence of Task Support. CogSci Mercury K. Mason, Kenneth J. Kurtz
2022	B	`conf`	Examining Strategy Differences on the Relational Match-to-Sample Task (RMTS). CogSci Mercury K. Mason, Kenneth J. Kurtz
2022	B	`conf`	Investigating the impacts of an immersive learning mode and graded feedback on category learning. CogSci Alexus S. Longo, Mercury K. Mason, Kenneth J. Kurtz
2022	B	`conf`	Local versus global coherence in the generalization of category training. CogSci Josh C. Glass, Kenneth J. Kurtz
2022	B	`conf`	Paths to Learning in Traditional Artificial Classification Tasks. CogSci Keith L. Sherman, Kenneth J. Kurtz
2021	B	`conf`	Comparison Promotes the Spontaneous Transfer of Relational Categories. CogSci Sean Snoddy, Kenneth J. Kurtz
2021	B	`conf`	Extrapolation Under Caricatured Representations. CogSci Daniel Silliman, Kenneth J. Kurtz
2021	J	`jnl`	On the Generalization of Simple Alternating Category Structures. Cogn. Sci. Kenneth J. Kurtz, Matthew T. Wetzel
2021	B	`conf`	Promoting Relational Responding: The Role of Prior Exposure to the Sample. CogSci Mercury K. Mason, Kenneth J. Kurtz
2020	B	`conf`	Analogical Transfer and Recognition Memory in Relational Classification Learning. CogSci Sean Snoddy, Kenneth J. Kurtz
2020	B	`conf`	Costly Exceptions: Deviant Exemplars Reduce Category Compression. CogSci Daniel Silliman, Sean Snoddy, Matt Wetzel, Kenneth J. Kurtz
2020	B	`conf`	Promoting relational responding by varying presentation conditions. CogSci Mercury K. Mason, Kenneth J. Kurtz
2019	B	`conf`	Family Resemblance in Unsupervised Categorization: A Dissociation Between Production and Evaluation. CogSci John D. Patterson, Sean Snoddy, Kenneth J. Kurtz
2019	B	`conf`	Introducing Recursive Linear Classification (RELIC) for Machine Learning. CogSci Sean Snoddy, Kenneth J. Kurtz
2019	B	`conf`	Semi-supervised Learning with 2D Categories. CogSci John D. Patterson, Kenneth J. Kurtz
2019	B	`conf`	Warning: The Exemplars in Your Category Representation May Not Be the Ones Experienced During Learning. CogSci Kenneth J. Kurtz, Daniel Silliman
2018	B	`conf`	Human generalization of an alternating category structure. CogSci Matt Wetzel, Kenneth J. Kurtz
2018	B	`conf`	Relational Categories: Why they're Important and How they are Learned. CogSci 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	B	`conf`	Semi-supervised learning: A role for similarity in generalization-based learning of relational categories. CogSci John D. Patterson, Kenneth J. Kurtz
2018	B	`conf`	What does a dimension that predicts nothing do to human classification learning? CogSci Sean Snoddy, Kenneth J. Kurtz
2017	B	`conf`	Object Understanding: Exploring the Path from Percept to Meaning. CogSci Kenneth J. Kurtz, Daniel Silliman
2017	B	`conf`	Promoting Spontaneous Analogical Transfer: The Role of Category Status. CogSci Sean Snoddy, Kenneth J. Kurtz
2017	B	`conf`	Relational Concept Learning via Guided Interactive Discovery. CogSci John D. Patterson, David Landy, Kenneth J. Kurtz
2017	J	`jnl`	Solving Nonlinearly Separable Classifications in a Single-Layer Neural Network. Neural Comput. Nolan Conaway, Kenneth J. Kurtz
2016	B	`conf`	Does Contrast or Comparison Help More? The Role of Learning Mode and Category Type. CogSci Jan Andrews, Kenneth R. Livingston, Calais Larson, Kenneth J. Kurtz
2016	B	`conf`	Effects of Analogical Processing: Evidence for Re-representation. CogSci Daniel Silliman, Kenneth J. Kurtz
2016	B	`conf`	Generalization of within-category feature correlations. CogSci Nolan Conaway, Kenneth J. Kurtz
2016	B	`conf`	Linear separability and human category learning: Revisiting a classic study. CogSci Kimery R. Levering, Nolan Conaway, Kenneth J. Kurtz
2016	B	`conf`	Performance Pressure and Comparison in Relational Category Learning. CogSci John D. Patterson, Kenneth J. Kurtz
2016	B	`conf`	Switch it up: Learning Categories via Feature Switching. CogSci Garrett Honke, Nolan Conaway, Kenneth J. Kurtz
2016	B	`conf`	The role of higher order relational structure in relational category label extension. CogSci Sean Snoddy, Kenneth J. Kurtz
2015	B	`conf`	A Dissociation between Categorization and Similarity to Exemplars. CogSci Nolan Conaway, Kenneth J. Kurtz
2015	J	`jnl`	Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics. Neurocomputing Blair C. Armstrong, Maria V. Ruiz-Blondet, Negin Khalifian, Kenneth J. Kurtz, Zhanpeng Jin, Sarah Laszlo
2015	B	`conf`	Exemplar models can't see the forest for the trees. CogSci Nolan Conaway, Kenneth J. Kurtz
2015	B	`conf`	Learning mode and comparison in relational category learning. CogSci John D. Patterson, Kenneth J. Kurtz
2014	B	`conf`	Brainprint: Identifying Unique Features of Neural Activity with Machine Learning. CogSci Maria V. Ruiz-Blondet, Negin Khalifian, Blair C. Armstrong, Zhanpeng Jin, Kenneth J. Kurtz, Sarah Laszlo
2014	J	`jnl`	Complexity Measures and Concept Learning. CoRR Andreas D. Pape, Kenneth J. Kurtz, Hiroki Sayama
2014	B	`conf`	Engaging the comparison engine: Implications for relational category learning and transfer. CogSci John D. Patterson, Kenneth J. Kurtz
2014	B	`conf`	Now you know it, now you don't: Asking the right question about category knowledge. CogSci Nolan Conaway, Kenneth J. Kurtz
2014	B	`conf`	Optimizing the category construction task to promote learning and transfer of knowledge in classroom instruction. CogSci Kenneth J. Kurtz, Andy Cavagnetto, Garrett Honke, Nolan Conaway, John D. Patterson, James C. Marr, Yan Tao
2013	J	`jnl`	Evaluating case-based decision theory: Predicting empirical patterns of human classification learning. Games Econ. Behav. Andreas D. Pape, Kenneth J. Kurtz
2013	B	`conf`	Models of Human Category Learning: Do they Generalize? CogSci Nolan Conaway, Kenneth J. Kurtz
2013	B	`conf`	Using Relational Encoding to Promote Creative Problem Solving. CogSci Kenneth J. Kurtz, Nuoya Zhang, Tamar Skolnick
2012	—	`conf`	Evolving data sets to highlight the performance differences between machine learning classifiers. GECCO (Companion) Thomas Raway, J. David Schaffer, Kenneth J. Kurtz, Hiroki Sayama
2012	B	`conf`	Observational category learning increases sensitivity to prototypical and correlational information. CogSci Kimery R. Levering, Kenneth J. Kurtz
2011	J	`jnl`	Category learning in the context of co-presented items. Cogn. Process. Janet K. Andrews, Kenneth R. Livingston, Kenneth J. Kurtz
2011	B	`conf`	Evaluating the Divergent Auto-Encoder (DIVA) as a Machine Learning Algorithm. CogSci Kenneth J. Kurtz, Xavier Oyarzabal
2011	B	`conf`	Observational Category Learning as a Path to More Robust Generative Knowledge. CogSci Kimery R. Levering, Kenneth J. Kurtz
2011	B	`conf`	Types of Cognitive Content and the Role of Relational Processing in the Illusion of Explanatory Depth. CogSci Graham Silk-Eglit, Kenneth J. Kurtz
2006	J	`jnl`	Relations, Objects, and the Composition of Analogies. Cogn. Sci. Dedre Gentner, Kenneth J. Kurtz
2005	J	`jnl`	Re-representation in comparison: building an empirical case. J. Exp. Theor. Artif. Intell. Kenneth J. Kurtz
1992	J	`jnl`	Interaction between Transparency and Structure from Motion. Neural Comput. Daniel J. Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz
1991	J	`jnl`	On the sufficiency of the velocity field for perception of heading. Biol. Cybern. William H. Warren Jr., A. W. Blackwell, Kenneth J. Kurtz, Nicholas G. Hatsopoulos, M. L. Kalish