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pro vyhledávání: '"Zylich, Brian"'
Autor:
Ramakrishnan, Anand, Zylich, Brian, Ottmar, Erin, LoCasale-Crouch, Jennifer, Whitehill, Jacob
Publikováno v:
IEEE Transactions on Affective Computing, 2021
In this work we present a multi-modal machine learning-based system, which we call ACORN, to analyze videos of school classrooms for the Positive Climate (PC) and Negative Climate (NC) dimensions of the CLASS observation protocol that is widely used
Externí odkaz:
http://arxiv.org/abs/2005.09525
Akademický článek
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Publikováno v:
Artificial Intelligence in Education
One important aspect of learning is through verbal interactions with teachers or teaching assistants (TAs), which requires significant effort and puts a heavy burden on teachers. Artificial intelligence has the potential to reduce their burden by aut
Autor:
Zylich, Brian Matthew
Publikováno v:
Masters Theses (All Theses, All Years).
We explore how to automatically detect specific phrases in audio from noisy, multi-speaker videos using deep neural networks. Specifically, we focus on classroom observation videos that contain a few adult teachers and several small children (< 5 yea