An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data

Research article (Sensors, 2019) · cited 35× · AI/ML
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An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data

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An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-exploration-of-machine-learning-methods-for-robust-boredom-classification-using-eeg-and-gsr-data
MLA “An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-exploration-of-machine-learning-methods-for-robust-boredom-classification-using-eeg-and-gsr-data.
BibTeX @misc{4ortxyz_an-exploration-of-machine-learning-methods-for-robust-boredom-classification-using-eeg-and-gsr-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Exploration of Machine Learning Methods for Robust Boredom Classification Using EEG and GSR Data}}, year = {2026}, url = {https://4ort.xyz/entity/an-exploration-of-machine-learning-methods-for-robust-boredom-classification-using-eeg-and-gsr-data}, note = {Accessed: 2026-05-24}}
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