RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs | ScienceToStartup | ScienceToStartup

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References (43)

[1]

A Correlation Manifold Self-Attention Network for EEG Decoding

2025Chen Hu, Rui Wang et al.

[2]

SODor: Long-Term EEG Partitioning for Seizure Onset Detection

2024Zheng Chen, Yasuko Matsubara et al.

[3]

SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG

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"Developing a novel geometric deep learning model to enhance EEG data representation through dynamic graph-based SPD manifold methods."

Geometric Deep Learning•Score: 6•View PDF ↗

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RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs

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"Developing a novel geometric deep learning model to enhance EEG data representation through dynamic graph-based SPD manifold methods."

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RepSPD: Enhancing SPD Manifold Representation in EEGs via Dynamic Graphs

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Founder's Pitch

"Developing a novel geometric deep learning model to enhance EEG data representation through dynamic graph-based SPD manifold methods."

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