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ORCIDKenneth J. Kurtz
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- affiliation: Binghamton University, NY, USA
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2020 – today
- 2024
[i2]Chelsea Zou, Kenneth J. Kurtz:
Abstracted Gaussian Prototypes for One-Shot Concept Learning. CoRR abs/2408.17251 (2024)- 2023
- [c47]Josh C. Glass, Alexus S. Longo, Kenneth J. Kurtz:
Alternation as a Relational Category. CogSci 2023 - [c46]Josh C. Glass, Mercury K. Mason, Kenneth J. Kurtz:
Modeling Human Performance on SHJ Category Structures with a Divergent Autoencoder. CogSci 2023 - [c45]Alexus S. Longo, Kenneth J. Kurtz:
Release from Proactive Interference with Relational Categories Versus Traditional Entity Categories. CogSci 2023 - [c44]Mercury K. Mason, Kenneth J. Kurtz:
Sustaining Relational Preference in a Repeated Relational Match-to-Sample Task in the Absence of Task Support. CogSci 2023 - [c43]Keith L. Sherman, Kenneth J. Kurtz:
Conceptual Integration and Semantic Relational Processing as Study Tasks to Promote Cued-Recall of Word Pairs. CogSci 2023 - 2022
- [c42]Josh C. Glass, Kenneth J. Kurtz:
Local versus global coherence in the generalization of category training. CogSci 2022 - [c41]Alexus S. Longo, Mercury K. Mason, Kenneth J. Kurtz:
Investigating the impacts of an immersive learning mode and graded feedback on category learning. CogSci 2022 - [c40]Mercury K. Mason, Kenneth J. Kurtz:
Examining Strategy Differences on the Relational Match-to-Sample Task (RMTS). CogSci 2022 - [c39]Keith L. Sherman, Kenneth J. Kurtz:
Paths to Learning in Traditional Artificial Classification Tasks. CogSci 2022 - 2021
- [j9]Kenneth J. Kurtz, Matthew T. Wetzel
:
On the Generalization of Simple Alternating Category Structures. Cogn. Sci. 45(4) (2021) - [c38]Mercury K. Mason, Kenneth J. Kurtz:
Promoting Relational Responding: The Role of Prior Exposure to the Sample. CogSci 2021 - [c37]Daniel Silliman, Kenneth J. Kurtz:
Extrapolation Under Caricatured Representations. CogSci 2021 - [c36]Sean Snoddy, Kenneth J. Kurtz:
Comparison Promotes the Spontaneous Transfer of Relational Categories. CogSci 2021 - 2020
- [c35]Mercury K. Mason, Kenneth J. Kurtz:
Promoting relational responding by varying presentation conditions. CogSci 2020 - [c34]Daniel Silliman, Sean Snoddy, Matt Wetzel, Kenneth J. Kurtz:
Costly Exceptions: Deviant Exemplars Reduce Category Compression. CogSci 2020 - [c33]Sean Snoddy, Kenneth J. Kurtz:
Analogical Transfer and Recognition Memory in Relational Classification Learning. CogSci 2020
2010 – 2019
- 2019
- [c32]Kenneth J. Kurtz, Daniel Silliman:
Warning: The Exemplars in Your Category Representation May Not Be the Ones Experienced During Learning. CogSci 2019: 56-57 - [c31]John D. Patterson, Sean Snoddy, Kenneth J. Kurtz:
Family Resemblance in Unsupervised Categorization: A Dissociation Between Production and Evaluation. CogSci 2019: 2537-2543 - [c30]John D. Patterson, Kenneth J. Kurtz:
Semi-supervised Learning with 2D Categories. CogSci 2019: 3545 - [c29]Sean Snoddy, Kenneth J. Kurtz:
Introducing Recursive Linear Classification (RELIC) for Machine Learning. CogSci 2019: 3576 - 2018
- [c28]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:
Relational Categories: Why they're Important and How they are Learned. CogSci 2018 - [c27]John D. Patterson, Kenneth J. Kurtz:
Semi-supervised learning: A role for similarity in generalization-based learning of relational categories. CogSci 2018 - [c26]Sean Snoddy, Kenneth J. Kurtz:
What does a dimension that predicts nothing do to human classification learning? CogSci 2018 - [c25]Matt Wetzel, Kenneth J. Kurtz:
Human generalization of an alternating category structure. CogSci 2018 - 2017
- [j8]Nolan Conaway, Kenneth J. Kurtz:
Solving Nonlinearly Separable Classifications in a Single-Layer Neural Network. Neural Comput. 29(3): 861-866 (2017) - [c24]Kenneth J. Kurtz, Daniel Silliman:
Object Understanding: Exploring the Path from Percept to Meaning. CogSci 2017 - [c23]John D. Patterson, David Landy, Kenneth J. Kurtz:
Relational Concept Learning via Guided Interactive Discovery. CogSci 2017 - [c22]Sean Snoddy, Kenneth J. Kurtz:
Promoting Spontaneous Analogical Transfer: The Role of Category Status. CogSci 2017 - 2016
- [c21]Jan Andrews, Kenneth R. Livingston, Calais Larson, Kenneth J. Kurtz:
Does Contrast or Comparison Help More? The Role of Learning Mode and Category Type. CogSci 2016 - [c20]Nolan Conaway, Kenneth J. Kurtz:
Generalization of within-category feature correlations. CogSci 2016 - [c19]Garrett Honke, Nolan Conaway, Kenneth J. Kurtz:
Switch it up: Learning Categories via Feature Switching. CogSci 2016 - [c18]Kimery R. Levering, Nolan Conaway, Kenneth J. Kurtz:
Linear separability and human category learning: Revisiting a classic study. CogSci 2016 - [c17]John D. Patterson, Kenneth J. Kurtz:
Performance Pressure and Comparison in Relational Category Learning. CogSci 2016 - [c16]Daniel Silliman, Kenneth J. Kurtz:
Effects of Analogical Processing: Evidence for Re-representation. CogSci 2016 - [c15]Sean Snoddy, Kenneth J. Kurtz:
The role of higher order relational structure in relational category label extension. CogSci 2016 - 2015
- [j7]Blair C. Armstrong, Maria V. Ruiz-Blondet, Negin Khalifian, Kenneth J. Kurtz, Zhanpeng Jin, Sarah Laszlo:
Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics. Neurocomputing 166: 59-67 (2015) - [c14]Nolan Conaway, Kenneth J. Kurtz:
A Dissociation between Categorization and Similarity to Exemplars. CogSci 2015 - [c13]Nolan Conaway, Kenneth J. Kurtz:
Exemplar models can't see the forest for the trees. CogSci 2015 - [c12]John D. Patterson, Kenneth J. Kurtz:
Learning mode and comparison in relational category learning. CogSci 2015 - 2014
- [c11]Nolan Conaway, Kenneth J. Kurtz:
Now you know it, now you don't: Asking the right question about category knowledge. CogSci 2014 - [c10]Kenneth J. Kurtz, Andy Cavagnetto, Garrett Honke, Nolan Conaway, John D. Patterson, James C. Marr, Yan Tao:
Optimizing the category construction task to promote learning and transfer of knowledge in classroom instruction. CogSci 2014 - [c9]John D. Patterson, Kenneth J. Kurtz:
Engaging the comparison engine: Implications for relational category learning and transfer. CogSci 2014 - [c8]Maria V. Ruiz-Blondet, Negin Khalifian, Blair C. Armstrong, Zhanpeng Jin, Kenneth J. Kurtz, Sarah Laszlo:
Brainprint: Identifying Unique Features of Neural Activity with Machine Learning. CogSci 2014 - [i1]Andreas D. Pape, Kenneth J. Kurtz, Hiroki Sayama:
Complexity Measures and Concept Learning. CoRR abs/1406.7424 (2014) - 2013
- [j6]Andreas D. Pape, Kenneth J. Kurtz:
Evaluating case-based decision theory: Predicting empirical patterns of human classification learning. Games Econ. Behav. 82: 52-65 (2013) - [c7]Nolan Conaway, Kenneth J. Kurtz:
Models of Human Category Learning: Do they Generalize? CogSci 2013 - [c6]Kenneth J. Kurtz, Nuoya Zhang, Tamar Skolnick:
Using Relational Encoding to Promote Creative Problem Solving. CogSci 2013 - 2012
- [c5]Kimery R. Levering, Kenneth J. Kurtz:
Observational category learning increases sensitivity to prototypical and correlational information. CogSci 2012 - [c4]Thomas Raway, J. David Schaffer, Kenneth J. Kurtz, Hiroki Sayama:
Evolving data sets to highlight the performance differences between machine learning classifiers. GECCO (Companion) 2012: 657-658 - 2011
- [j5]Janet K. Andrews, Kenneth R. Livingston, Kenneth J. Kurtz:
Category learning in the context of co-presented items. Cogn. Process. 12(2): 161-175 (2011) - [c3]Kenneth J. Kurtz, Xavier Oyarzabal:
Evaluating the Divergent Auto-Encoder (DIVA) as a Machine Learning Algorithm. CogSci 2011 - [c2]Kimery R. Levering, Kenneth J. Kurtz:
Observational Category Learning as a Path to More Robust Generative Knowledge. CogSci 2011 - [c1]Graham Silk-Eglit, Kenneth J. Kurtz:
Types of Cognitive Content and the Role of Relational Processing in the Illusion of Explanatory Depth. CogSci 2011
2000 – 2009
- 2006
- [j4]Dedre Gentner, Kenneth J. Kurtz:
Relations, Objects, and the Composition of Analogies. Cogn. Sci. 30(4): 609-642 (2006) - 2005
- [j3]Kenneth J. Kurtz:
Re-representation in comparison: building an empirical case. J. Exp. Theor. Artif. Intell. 17(4): 447-459 (2005)
1990 – 1999
- 1992
- [j2]Daniel J. Kersten, Heinrich H. Bülthoff, Bennett L. Schwartz, Kenneth J. Kurtz:
Interaction between Transparency and Structure from Motion. Neural Comput. 4(4): 573-589 (1992) - 1991
- [j1]William H. Warren Jr., A. W. Blackwell, Kenneth J. Kurtz, Nicholas G. Hatsopoulos, M. L. Kalish:
On the sufficiency of the velocity field for perception of heading. Biol. Cybern. 65(5): 311-320 (1991)
Coauthor Index
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