Manuscripts on this dataset

1. 

   CMS Manager @ 1:41 am on 11 Jan 2024

   Manuscripts on this dataset, "ds003004"

2. 

   CMS Manager @ 6:00 pm on 12 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. K Nazare, MI Tomescu, Valence-specific EEG microstate modulations during self-generated affective states, bioRxiv, 2023, Cited by 0, https://www.biorxiv.org/content/10.1101/2023.09.23.559103.abstract
   4. Y Ji, SY Dong, Deep learning-based self-induced emotion recognition using EEG, Frontiers in Neuroscience, 2022, Cited by 5, https://www.frontiersin.org/articles/10.3389/fnins.2022.985709/full
   5. 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 9, https://ieeexplore.ieee.org/abstract/document/9441399/
   6. 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 14, https://ieeexplore.ieee.org/abstract/document/9454320/
   7. АВ Отинов, НН Дацун, АВТОМАТИЗАЦИЯ ПРОВЕРКИ UCD СТУДЕНТОВ20, ББК 22+ 32.81 А437, 2021, Cited by 2, https://elibrary.ru/download/elibrary_46446433_52638986.pdf#page=108

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