Manuscripts on this dataset

1. 

   CMS Manager @ 5:33 am on 07 Feb 2024

   Manuscripts on this dataset, "ds003004"

2. 

   CMS Manager @ 5:33 am on 07 Feb 2024

   1. SR Surendrakumar, APG Xuan, P Brian, Determination of Emotional States from Electroencephalogram (EEG) Data Using Machine Learning, IRC Conference on Science, Engineering and Technology, 2023, Cited by 0, https://link.springer.com/chapter/10.1007/978-981-99-8369-8_26
   2. CH Mendoza-Cardenas, A Meek, Labeling EEG Components with a Bag of Waveforms from Learned Dictionaries, ICLR 2023 Workshop on Time Series Representation Learning for Health, 2023, Cited by 1, https://openreview.net/forum?id=i8zQLneFvn
   3. Y Ji, SY Dong, Deep learning-based self-induced emotion recognition using EEG, Frontiers in Neuroscience, 2022, Cited by 8, https://www.frontiersin.org/articles/10.3389/fnins.2022.985709/full
   4. A Delorme, D Truong, Tools for importing and evaluating BIDS-EEG formatted data, 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021, Cited by 12, https://ieeexplore.ieee.org/abstract/document/9441399/
   5. HA Gonzalez, R George, S Muzaffar, Hardware acceleration of EEG-based emotion classification systems: a comprehensive survey, IEEE Transactions on Biomedical Circuits and Systems, 2021, Cited by 20, https://ieeexplore.ieee.org/abstract/document/9454320/
   6. АВ Отинов, НН Дацун, АВТОМАТИЗАЦИЯ ПРОВЕРКИ UCD СТУДЕНТОВ20, ББК 22+ 32.81 А437, 2021, Cited by 1, https://elibrary.ru/download/elibrary_46446433_95768563.pdf#page=108
   7. EI SENNEKER, BEYOND HUMAN: A MACHINE LEARNING APPROACH TO EEG-BASED EMOTION CLASSIFICATION, Cited by 0, http://arno.uvt.nl/show.cgi?fid=175999

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