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Page 1
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms.
Front Comput Neurosci. 2022 Sep 14;16:975743. doi: 10.3389/fncom.2022.975743. eCollection 2022.
Front Comput Neurosci. 2022.
PMID: 36185711
Free PMC article.
Analyzing teacher-student interactions through graph theory applied to hyperscanning fNIRS data.
Oku AYA, Pinheiro ED, da Silva Soares R Jr, Sato JR.
Oku AYA, et al.
Prog Brain Res. 2023;282:123-143. doi: 10.1016/bs.pbr.2023.10.005. Epub 2023 Nov 10.
Prog Brain Res. 2023.
PMID: 38035907
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Predicting Student Performance Using Machine Learning in fNIRS Data.
Oku AYA, Sato JR.
Oku AYA, et al.
Front Hum Neurosci. 2021 Feb 5;15:622224. doi: 10.3389/fnhum.2021.622224. eCollection 2021.
Front Hum Neurosci. 2021.
PMID: 33613215
Free PMC article.
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Exploring the potential of eye tracking on personalized learning and real-time feedback in modern education.
da Silva Soares R Jr, Oku AYA, Barreto CDSF, Sato JR.
da Silva Soares R Jr, et al. Among authors: oku aya.
Prog Brain Res. 2023;282:49-70. doi: 10.1016/bs.pbr.2023.09.001. Epub 2023 Oct 24.
Prog Brain Res. 2023.
PMID: 38035909
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Applying functional near-infrared spectroscopy and eye-tracking in a naturalistic educational environment to investigate physiological aspects that underlie the cognitive effort of children during mental rotation tests.
da Silva Soares R Jr, Ambriola Oku AY, Barreto CSF, Ricardo Sato J.
da Silva Soares R Jr, et al. Among authors: ambriola oku ay.
Front Hum Neurosci. 2022 Aug 12;16:889806. doi: 10.3389/fnhum.2022.889806. eCollection 2022.
Front Hum Neurosci. 2022.
PMID: 36072886
Free PMC article.
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Potential Confounders in the Analysis of Brazilian Adolescent's Health: A Combination of Machine Learning and Graph Theory.
Ambriola Oku AY, Zimeo Morais GA, Arantes Bueno AP, Fujita A, Sato JR.
Ambriola Oku AY, et al.
Int J Environ Res Public Health. 2019 Dec 21;17(1):90. doi: 10.3390/ijerph17010090.
Int J Environ Res Public Health. 2019.
PMID: 31877700
Free PMC article.
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