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Chaz Firestone
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2020 – today
- 2023
- [c5]Sholei Croom, Hanbei Zhou, Chaz Firestone:
What does learning look like?: Visual recognition of epistemic intent. CogSci 2023 - [c4]Luke E. Osborn, Breanne P. Christie, Adam C. G. Crego, Dayann D'almeida, David P. McMullen, Robert W. Nickl, Ambarish S. Pawar, Jeremy D. Brown
, Brock A. Wester, Chaz Firestone, Pablo A. Celnik, Matthew S. Fifer
Cortical Response to Expectation of Tactile Stimulation from External Anthropomorphic and Non-Anthropomorphic Systems. NER 2023: 1-4 - 2022
- [j3]Michael A. Lepori, Chaz Firestone:
Can You Hear Me Now? Sensitive Comparisons of Human and Machine Perception. Cogn. Sci. 46(10) (2022) - [j2]Eric Mandelbaum, Yarrow Dunham, Roman Feiman, Chaz Firestone, E. J. Green, Daniel Harris, Melissa M. Kibbe, Benedek Kurdi, Myrto I. Mylopoulos, Joshua Shepherd, Alexis Wellwood, Nicolas Porot, Jake Quilty-Dunn:
Problems and Mysteries of the Many Languages of Thought. Cogn. Sci. 46(12) (2022) - [c3]Matan Mazor, Chaz Firestone, Ian Phillips:
Using pretense behavior to explore counterfactual self-simulation. CogSci 2022 - 2021
- [j1]Zekun Sun, Chaz Firestone
Curious Objects: How Visual Complexity Guides Attention and Engagement. Cogn. Sci. 45(4) (2021) - [c2]Sholei Croom, Chaz Firestone:
Tangled Physics: Knots as a challenge for physical scene understanding. CogSci 2021 - [i3]Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard:
Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing. CoRR abs/2105.06496 (2021) - 2020
- [i2]Michael A. Lepori, Chaz Firestone:
Can you hear me now? Sensitive comparisons of human and machine perception. CoRR abs/2003.12362 (2020)
2010 – 2019
- 2018
- [c1]Kevin A. Smith, Josh Tenenbaum, Erin M. Anderson, Susan J. Hespos, Lance J. Rips, Chaz Firestone, Jessica B. Hamrick:
Strategies and representations in physical inference. CogSci 2018 - [i1]Zhenglong Zhou, Chaz Firestone:
Taking a machine's perspective: Human deciphering of adversarial images. CoRR abs/1809.04120 (2018)
Coauthor Index
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