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Craig A. Sanders - Publications

Affiliations: 
Vanderbilt University, Nashville, TN 
Area:
categorization, computational modeling, perception
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7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Sanders CA, Nosofsky RM. Training Deep Networks to Construct a Psychological Feature Space for a Natural-Object Category Domain Computational Brain & Behavior. 3: 229-251. DOI: 10.1007/s42113-020-00073-z  0.681
2019 Nosofsky RM, Sanders CA, Meagher BJ, Douglas BJ. Search for the Missing Dimensions: Building a Feature-Space Representation for a Natural-Science Category Domain Computational Brain & Behavior. 3: 13-33. DOI: 10.1007/s42113-019-00033-2  0.682
2018 Nosofsky RM, Sanders CA, Zhu X, McDaniel MA. Model-guided search for optimal natural-science-category training exemplars: A work in progress. Psychonomic Bulletin & Review. PMID 29987765 DOI: 10.3758/S13423-018-1508-8  0.717
2018 Nosofsky RM, Sanders CA, McDaniel MA. A Formal Psychological Model of Classification Applied to Natural-Science Category Learning Current Directions in Psychological Science. 27: 129-135. DOI: 10.1177/0963721417740954  0.686
2017 Nosofsky RM, Sanders CA, McDaniel MA. Tests of an Exemplar-Memory Model of Classification Learning in a High-Dimensional Natural-Science Category Domain. Journal of Experimental Psychology. General. PMID 29058939 DOI: 10.1037/Xge0000369  0.729
2017 Nosofsky RM, Sanders CA, Meagher BJ, Douglas BJ. Toward the development of a feature-space representation for a complex natural category domain. Behavior Research Methods. PMID 28389853 DOI: 10.3758/S13428-017-0884-8  0.691
2016 Nosofsky RM, Sanders CA, Gerdom A, Douglas BJ, McDaniel MA. On Learning Natural-Science Categories That Violate the Family-Resemblance Principle. Psychological Science. PMID 27872180 DOI: 10.1177/0956797616675636  0.698
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