Philip J. Kellman

According to our database, Philip J. Kellman authored at least 23 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Shape from dots: a window into abstraction processes in visual perception.

Nicholas Baker, Philip J. Kellman

Frontiers Comput. Sci., 2024

2023

Advances in the Study of Visual and Multisensory Objects.

Aleksandra Mroczko-Wasowicz, Casey O'Callaghan, Jonathan Cohen, Brian J. Scholl, Philip J. Kellman

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Connecting Adaptive Perceptual Learning and Signal Detection Theory in Skin Cancer Screening.

Philip J. Kellman, Christine M. Massey, Sally Krasne, Everett Mettler

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Configural relations in humans and deep convolutional neural networks.

Nicholas Baker, Patrick Garrigan, Austin Phillips, Philip J. Kellman

Frontiers Artif. Intell., 2022

Comparisons in Adaptive Perceptual Category Learning.

Victoria L. Jacoby, Christine M. Massey, Everett Mettler, Philip J. Kellman

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2020

Comparing Adaptive and Random Spacing Schedules during Learning to Mastery Criteria.

Everett Mettler, Christine M. Massey, Timothy Burke, Philip J. Kellman

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Adaptive vs. Fixed Spacing of Learning Items: Evidence from Studies of Learning and Transfer in Chemistry Education.

Everett Mettler, Amina K. El-Ashmawy, Christine M. Massey, Philip J. Kellman

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

The Synergy of Passive and Active Learning Modes in Adaptive Perceptual Learning.

Everett Mettler, Philip J. Kellman, Austin Phillips, Timothy Burke, Christine M. Massey, Patrick Garrigan

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Deep convolutional networks do not classify based on global object shape.

Nicholas Baker, Hongjing Lu, Gennady Erlikhman, Philip J. Kellman

PLoS Comput. Biol., 2018

Enhancing Adaptive Learning through Strategic Scheduling of Passive and Active Learning Modes.

Everett Mettler, Christine M. Massey, Timothy Burke, Patrick Garrigan, Philip J. Kellman

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Perceptual Learning in Correlation Estimation: The Role of Learning Category Organization.

Lucy Cui, Christine M. Massey, Philip J. Kellman

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Deep Convolutional Networks do not Perceive Illusory Contours.

Nicholas Baker, Gennady Erlikhman, Philip J. Kellman, Hongjing Lu

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2015

Perceptual Learning with Adaptively-triggered Comparisons.

Khanh-Phuong Thai, Sally Krasne, Philip J. Kellman

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Adaptive Perceptual Learning in Electrocardiography: The Synergy of Passive and Active Classification.

Khanh-Phuong Thai, Sally Krasne, Philip J. Kellman

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Perceptual Learning in Mathematics Produces Durable Encoding Improvements.

Carolyn Bufford, Philip J. Kellman

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

Connecting learning, memory, and representation in math education.

Martha W. Alibali, Chuck Kalish, Timothy T. Rogers, Christine M. Massey, Philip J. Kellman, Vladimir M. Sloutsky, James L. McClelland, Kevin W. Mickey

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014

The Psychophysics of Algebra Expertise: Mathematics Perceptual Learning Interventions Produce Durable Encoding Changes.

Carolyn Bufford, Everett Mettler, Emma H. Geller, Philip J. Kellman

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013

Challenges in Understanding Visual Shape Perception and Representation: Bridging Subsymbolic and Symbolic Coding.

Philip J. Kellman, Patrick Garrigan, Gennady Erlikhman

Proceedings of the Shape Perception in Human and Computer Vision, 2013

2011

Basic Information Processing Effects from Perceptual Learning in Complex, Real-World Domains.

Khanh-Phuong Thai, Everett Mettler, Philip J. Kellman

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Improving Adaptive Learning Technology through the Use of Response Times.

Everett Mettler, Christine M. Massey, Philip J. Kellman

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Perceptual Learning Modules in Mathematics: Enhancing Students' Pattern Recognition, Structure Extraction, and Fluency.

Philip J. Kellman, Christine M. Massey, Ji Y. Son

Top. Cogn. Sci., 2010

2008

Enhancing air traffic displays via perceptual cues.

Evan M. Palmer, Timothy C. Clausner, Philip J. Kellman

ACM Trans. Appl. Percept., 2008

2003

Interpolation processes in the visual perception of objects.

Philip J. Kellman

Neural Networks, 2003