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ORCIDPhilip J. Kellman
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2020 – today
- 2024
[j6]Nicholas Baker, Philip J. Kellman:
Shape from dots: a window into abstraction processes in visual perception. Frontiers Comput. Sci. 6 (2024)- 2023
- [c16]Philip J. Kellman, Christine M. Massey, Sally Krasne, Everett Mettler:
Connecting Adaptive Perceptual Learning and Signal Detection Theory in Skin Cancer Screening. CogSci 2023 - [c15]Aleksandra Mroczko-Wasowicz, Casey O'Callaghan, Jonathan Cohen, Brian J. Scholl, Philip J. Kellman:
Advances in the Study of Visual and Multisensory Objects. CogSci 2023 - 2022
- [j5]Nicholas Baker, Patrick Garrigan, Austin Phillips, Philip J. Kellman:
Configural relations in humans and deep convolutional neural networks. Frontiers Artif. Intell. 5 (2022) - [c14]Victoria L. Jacoby, Christine M. Massey, Everett Mettler, Philip J. Kellman:
Comparisons in Adaptive Perceptual Category Learning. CogSci 2022 - 2020
- [c13]Everett Mettler, Amina K. El-Ashmawy, Christine M. Massey, Philip J. Kellman:
Adaptive vs. Fixed Spacing of Learning Items: Evidence from Studies of Learning and Transfer in Chemistry Education. CogSci 2020 - [c12]Everett Mettler, Christine M. Massey, Timothy Burke, Philip J. Kellman:
Comparing Adaptive and Random Spacing Schedules during Learning to Mastery Criteria. CogSci 2020
2010 – 2019
- 2019
- [c11]Everett Mettler, Philip J. Kellman, Austin Phillips, Timothy Burke, Christine M. Massey, Patrick Garrigan:
The Synergy of Passive and Active Learning Modes in Adaptive Perceptual Learning. CogSci 2019: 2351-2357 - 2018
- [j4]Nicholas Baker
, Hongjing Lu, Gennady Erlikhman, Philip J. Kellman:
Deep convolutional networks do not classify based on global object shape. PLoS Comput. Biol. 14(12) (2018) - [c10]Nicholas Baker, Gennady Erlikhman, Philip J. Kellman, Hongjing Lu:
Deep Convolutional Networks do not Perceive Illusory Contours. CogSci 2018 - [c9]Lucy Cui, Christine M. Massey, Philip J. Kellman:
Perceptual Learning in Correlation Estimation: The Role of Learning Category Organization. CogSci 2018 - [c8]Everett Mettler, Christine M. Massey, Timothy Burke, Patrick Garrigan, Philip J. Kellman:
Enhancing Adaptive Learning through Strategic Scheduling of Passive and Active Learning Modes. CogSci 2018 - 2015
- [c7]Martha W. Alibali, Chuck Kalish, Timothy T. Rogers, Christine M. Massey, Philip J. Kellman, Vladimir M. Sloutsky, James L. McClelland, Kevin W. Mickey:
Connecting learning, memory, and representation in math education. CogSci 2015 - [c6]Carolyn Bufford, Philip J. Kellman:
Perceptual Learning in Mathematics Produces Durable Encoding Improvements. CogSci 2015 - [c5]Khanh-Phuong Thai, Sally Krasne, Philip J. Kellman:
Adaptive Perceptual Learning in Electrocardiography: The Synergy of Passive and Active Classification. CogSci 2015 - [c4]Khanh-Phuong Thai, Sally Krasne, Philip J. Kellman:
Perceptual Learning with Adaptively-triggered Comparisons. CogSci 2015 - 2014
- [c3]Carolyn Bufford, Everett Mettler, Emma H. Geller, Philip J. Kellman:
The Psychophysics of Algebra Expertise: Mathematics Perceptual Learning Interventions Produce Durable Encoding Changes. CogSci 2014 - 2013
- [p1]Philip J. Kellman, Patrick Garrigan, Gennady Erlikhman:
Challenges in Understanding Visual Shape Perception and Representation: Bridging Subsymbolic and Symbolic Coding. Shape Perception in Human and Computer Vision 2013: 249-274 - 2011
- [c2]Everett Mettler, Christine M. Massey, Philip J. Kellman:
Improving Adaptive Learning Technology through the Use of Response Times. CogSci 2011 - [c1]Khanh-Phuong Thai, Everett Mettler, Philip J. Kellman:
Basic Information Processing Effects from Perceptual Learning in Complex, Real-World Domains. CogSci 2011 - 2010
- [j3]Philip J. Kellman, Christine M. Massey, Ji Y. Son:
Perceptual Learning Modules in Mathematics: Enhancing Students' Pattern Recognition, Structure Extraction, and Fluency. Top. Cogn. Sci. 2(2): 285-305 (2010)
2000 – 2009
- 2008
- [j2]Evan M. Palmer, Timothy C. Clausner, Philip J. Kellman:
Enhancing air traffic displays via perceptual cues. ACM Trans. Appl. Percept. 5(1): 4:1-4:22 (2008) - 2003
- [j1]Philip J. Kellman:
Interpolation processes in the visual perception of objects. Neural Networks 16(5-6): 915-923 (2003)
Coauthor Index
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