Philip J. Kellman

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 12

Top Topics

Signal Detection Theory

Illusory Contours

Adaptive Learning

Top Venues

Frontiers Artif. Intell.

Frontiers Comput. Sci.

PLoS Comput. Biol.

Publications

Nicholas Baker, Philip J. Kellman
Shape from dots: a window into abstraction processes in visual perception. Frontiers Comput. Sci. 6 (2024)
Philip J. Kellman, Christine M. Massey, Sally Krasne, Everett Mettler
Connecting Adaptive Perceptual Learning and Signal Detection Theory in Skin Cancer Screening. CogSci (2023)
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)
Nicholas Baker, Patrick Garrigan, Austin Phillips, Philip J. Kellman
Configural relations in humans and deep convolutional neural networks. Frontiers Artif. Intell. 5 (2022)
Victoria L. Jacoby, Christine M. Massey, Everett Mettler, Philip J. Kellman
Comparisons in Adaptive Perceptual Category Learning. CogSci (2022)
Everett Mettler, Christine Massey, Timothy Burke, Philip J. Kellman
Comparing Adaptive and Random Spacing Schedules during Learning to Mastery Criteria. CogSci (2020)
Everett Mettler, Amina K. El-Ashmawy, Christine Massey, Philip J. Kellman
Adaptive vs. Fixed Spacing of Learning Items: Evidence from Studies of Learning and Transfer in Chemistry Education. CogSci (2020)
Everett Mettler, Philip J. Kellman, Austin Phillips, Timothy Burke, Christine Massey, Patrick Garrigan
The Synergy of Passive and Active Learning Modes in Adaptive Perceptual Learning. CogSci (2019)
Lucy Cui, Christine Massey, Philip J. Kellman
Perceptual Learning in Correlation Estimation: The Role of Learning Category Organization. CogSci (2018)
Everett Mettler, Christine Massey, Timothy Burke, Patrick Garrigan, Philip J. Kellman
Enhancing Adaptive Learning through Strategic Scheduling of Passive and Active Learning Modes. CogSci (2018)
Nicholas Baker, Gennady Erlikhman, Philip J. Kellman, Hongjing Lu
Deep Convolutional Networks do not Perceive Illusory Contours. CogSci (2018)
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)
Martha W. Alibali, Chuck Kalish, Timothy T. Rogers, Christine Massey, Philip J. Kellman, Vladimir M. Sloutsky, James L. McClelland, Kevin W. Mickey
Connecting learning, memory, and representation in math education. CogSci (2015)
Khanh-Phuong Thai, Sally Krasne, Philip J. Kellman
Adaptive Perceptual Learning in Electrocardiography: The Synergy of Passive and Active Classification. CogSci (2015)
Khanh-Phuong Thai, Sally Krasne, Philip J. Kellman
Perceptual Learning with Adaptively-triggered Comparisons. CogSci (2015)
Carolyn Bufford, Philip J. Kellman
Perceptual Learning in Mathematics Produces Durable Encoding Improvements. CogSci (2015)
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)
Khanh-Phuong Thai, Everett Mettler, Philip J. Kellman
Basic Information Processing Effects from Perceptual Learning in Complex, Real-World Domains. CogSci (2011)
Everett Mettler, Christine Massey, Philip J. Kellman
Improving Adaptive Learning Technology through the Use of Response Times. CogSci (2011)
Philip J. Kellman, Christine Massey, Ji Y. Son
Perceptual Learning Modules in Mathematics: Enhancing Students' Pattern Recognition, Structure Extraction, and Fluency. Top. Cogn. Sci. 2 (2) (2010)
Evan M. Palmer, Timothy C. Clausner, Philip J. Kellman
Enhancing air traffic displays via perceptual cues. ACM Trans. Appl. Percept. 5 (1) (2008)
Philip J. Kellman
Interpolation processes in the visual perception of objects. Neural Networks 16 (5-6) (2003)