Michelle R. Greene

According to our database, Michelle R. Greene authored at least 9 papers between 2014 and 2024.

Collaborative distances:

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

2024

Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems.

Michelle R. Greene, Mariam Josyula, Wentao Si, Jennifer A. Hart

CoRR, 2024

2021

Dynamic Electrode-to-Image (DETI) mapping reveals the human brain's spatiotemporal code of visual information.

Bruce C. Hansen, Michelle R. Greene, David J. Field

PLoS Comput. Biol., 2021

2019

Assessing Neural Network Scene Classification from Degraded Images.

Timothy Tadros, Nicholas C. Cullen, Michelle R. Greene, Emily A. Cooper

ACM Trans. Appl. Percept., 2019

Towards a state-space geometry of neural responses to natural scenes: A steady-state approach.

Bruce C. Hansen, David J. Field, Michelle R. Greene, Cassady Olson, Vladimir Miskovic

NeuroImage, 2019

2018

Shared spatiotemporal category representations in biological and artificial deep neural networks.

Michelle R. Greene, Bruce C. Hansen

PLoS Comput. Biol., 2018

2016

Typicality sharpens category representations in object-selective cortex.

Marius Catalin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei

NeuroImage, 2016

2015

Basic Level Category Structure Emerges Gradually across Human Ventral Visual Cortex.

Marius Catalin Iordan, Michelle R. Greene, Diane M. Beck, Li Fei-Fei

J. Cogn. Neurosci., 2015

2014

Affordances Provide a Fundamental Categorization Principle for Visual Scenes.

Michelle R. Greene, Christopher Baldassano, Andre Esteva, Diane M. Beck, Li Fei-Fei

CoRR, 2014

Visual Noise from Natural Scene Statistics Reveals Human Scene Category Representations.

Michelle R. Greene, Abraham P. Botros, Diane M. Beck, Li Fei-Fei

CoRR, 2014