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- W3010978834 abstract "The Neural Engineering Data Consortium at Temple University has been providing key data resources to support the development of deep learning technology for electroencephalography (EEG) applications [ 1 – 4 ] since 2012. We currently have over 1,700 subscribers to our resources and have been providing data, software and documentation from our web site [5] since 2012. In this poster, we introduce additions to our resources that have been developed within the past year to facilitate software development and big data machine learning research." @default.
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- W3010978834 date "2019-12-01" @default.
- W3010978834 modified "2023-09-25" @default.
- W3010978834 title "Software and Data Resources to Advance Machine Learning Research in Electroencephalography" @default.
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- W3010978834 doi "https://doi.org/10.1109/spmb47826.2019.9037851" @default.
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