TGSN reports 97.78% accuracy on AD/FTD classification and RMSE of 1.93 for MMSE prediction on the XY02 EEG dataset, outperforming baselines by large margins.
Visualizing data using t-SNE
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
Hierarchical clustering of speaker recognition embeddings reveals that the network organizes representations by gender at upper levels and by gender-nationality conjunctions at lower levels, interpreted via a proposed cluster-class matching method.
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Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
TGSN reports 97.78% accuracy on AD/FTD classification and RMSE of 1.93 for MMSE prediction on the XY02 EEG dataset, outperforming baselines by large margins.
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Explainable AI in Speaker Recognition -- Making Latent Representations Understandable
Hierarchical clustering of speaker recognition embeddings reveals that the network organizes representations by gender at upper levels and by gender-nationality conjunctions at lower levels, interpreted via a proposed cluster-class matching method.