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README.md
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---
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license: cc-by-nd-4.0
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---
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license: cc-by-nd-4.0
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language:
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- en
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library_name: pytorch
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tags:
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- biosignals
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- multimodal model
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- time-series
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- cross-modal
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- foundation model
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- self-supervised
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- masked modeling
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- transformer
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- single encoder
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datasets:
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- TUEG
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- Siena
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- MIMIC-IV-ECG
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- PulseDB
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- CODE-15
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- TUAB
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- PTB-XL
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- CSN
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- HMC
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- WESAD
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metrics:
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- balanced_accuracy
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- roc_auc
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- pr_auc
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- weighted_f1
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- cohen_kappa
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model index:
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- name: PanLUNA (Full Fine-Tuning)
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results:
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- task:
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type: time-series-classification
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name: EEG Abnormality Detection
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dataset:
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type: TUAB
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name: TUH EEG Abnormal Corpus (TUAB)
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metrics:
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- type: balanced_accuracy
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value: 81.22
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name: Balanced Accuracy (%)
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- type: roc_auc
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value: 0.893
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name: AUROC
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- type: pr_auc
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value: 0.899
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name: AUC-PR
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---
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