Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings

Research article (IEEE Transactions on Biomedical Engineering, 2018) · cited 77× · AI/ML
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Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings

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Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings is a scholarly article[1].

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  • Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-convolutional-neural-networks-for-feature-less-automatic-classification-of-independent-components-in-multi-channel-
MLA “Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-convolutional-neural-networks-for-feature-less-automatic-classification-of-independent-components-in-multi-channel-.
BibTeX @misc{4ortxyz_deep-convolutional-neural-networks-for-feature-less-automatic-classification-of-independent-components-in-multi-channel-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings}}, year = {2026}, url = {https://4ort.xyz/entity/deep-convolutional-neural-networks-for-feature-less-automatic-classification-of-independent-components-in-multi-channel-}, note = {Accessed: 2026-05-24}}
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