Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Jiao, Zhicheng, Gao, Xinbo, Wang, Ying, Li, Jie, Xu, Haojun (2018) Deep Convolutional Neural Networks for mental load classification based on EEG data. Pattern Recognition, 76. 582-595 doi:10.1016/j.patcog.2017.12.002

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleDeep Convolutional Neural Networks for mental load classification based on EEG data
JournalPattern Recognition
AuthorsJiao, ZhichengAuthor
Gao, XinboAuthor
Wang, YingAuthor
Li, JieAuthor
Xu, HaojunAuthor
Year2018 (April)Volume76
PublisherElsevier BV
DOIdoi:10.1016/j.patcog.2017.12.002Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9367287Long-form Identifiermindat:1:5:9367287:6
GUID0
Full ReferenceJiao, Zhicheng, Gao, Xinbo, Wang, Ying, Li, Jie, Xu, Haojun (2018) Deep Convolutional Neural Networks for mental load classification based on EEG data. Pattern Recognition, 76. 582-595 doi:10.1016/j.patcog.2017.12.002
Plain TextJiao, Zhicheng, Gao, Xinbo, Wang, Ying, Li, Jie, Xu, Haojun (2018) Deep Convolutional Neural Networks for mental load classification based on EEG data. Pattern Recognition, 76. 582-595 doi:10.1016/j.patcog.2017.12.002
In(2018) Pattern Recognition Vol. 76. Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Jiao, Zhicheng, Gao, Xinbo, Wang, Ying, Li, Jie (2018) A parasitic metric learning net for breast mass classification based on mammography. Pattern Recognition, 75. 292-301 doi:10.1016/j.patcog.2017.07.008
Zhang, Zhenxi, Tian, Chunna, Gao, Xinbo, Li, Jie, Jiao, Zhicheng, Wang, Cui, Zhong, Zhusi (2022) Collaborative boundary-aware context encoding networks for error map prediction. Pattern Recognition, 125. 108515pp. doi:10.1016/j.patcog.2021.108515
Wang, Nannan, Gao, Xinbo, Li, Jie (2018) Random sampling for fast face sketch synthesis. Pattern Recognition, 76. 215-227 doi:10.1016/j.patcog.2017.11.008
Li, Guoqiang, Fang, Qi, Zha, Linlin, Gao, Xin, Zheng, Nenggan (2022) HAM: Hybrid attention module in deep convolutional neural networks for image classification. Pattern Recognition, 129. 108785 doi:10.1016/j.patcog.2022.108785
Peng, Chunlei, Wang, Nannan, Li, Jie, Gao, Xinbo (2019) DLFace: Deep local descriptor for cross-modality face recognition. Pattern Recognition, 90. 161-171 doi:10.1016/j.patcog.2019.01.041
Kosov, Sergey, Shirahama, Kimiaki, Li, Chen, Grzegorzek, Marcin (2018) Environmental microorganism classification using conditional random fields and deep convolutional neural networks. Pattern Recognition, 77. 248-261 doi:10.1016/j.patcog.2017.12.021
Barat, Cécile, Ducottet, Christophe (2016) String representations and distances in deep Convolutional Neural Networks for image classification. Pattern Recognition, 54. 104-115 doi:10.1016/j.patcog.2016.01.007
Shi, Cheng, Pun, Chi-Man (2018) Superpixel-based 3D deep neural networks for hyperspectral image classification. Pattern Recognition, 74. 600-616 doi:10.1016/j.patcog.2017.09.007
Xu, Meiyan, Yao, Junfeng, Zhang, Zhihong, Li, Rui, Yang, Baorong, Li, Chunyan, Li, Jun, Zhang, Junsong (2020) Learning EEG topographical representation for classification via convolutional neural network. Pattern Recognition, 105. 107390pp. doi:10.1016/j.patcog.2020.107390
Andrearczyk, Vincent, Whelan, Paul F. (2018) Convolutional neural network on three orthogonal planes for dynamic texture classification. Pattern Recognition, 76. 36-49 doi:10.1016/j.patcog.2017.10.030
Huang, Wenqie, Yan, Guanghui, Chang, Wenwen, Zhang, Yuchan, Yuan, Yueting (2023) EEG-based classification combining Bayesian convolutional neural networks with recurrence plot for motor movement/imagery. Pattern Recognition, 144. Elsevier BV. 109838 doi:10.1016/j.patcog.2023.109838
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 29, 2025 01:05:22
Go to top of page