Angular Gaussian Supervised Contrastive Learning for Long-Tailed Electrocardiogr
Long-tailed label distributions reduce the reliability of deep learning for electrocardiogram (ECG) arrhythmia diagnosis, particularly for clinically important but rare abnormalities. Existing rebalancing and logit adjustment methods mainly
https://arxiv.org/abs/2607.14613v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Outside
Outside your target regions — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
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Correct facts used on the next screening or memo.
People
J
Jin Dai
1.0
low confidence
Q
Qiuzhen Zhang
2.0
low confidence
C
Chenyun Dai
CN
2.0
low confidence
D
Danmei Lan
2.0
low confidence
C
Can Han
2.0
low confidence
D
Dai Jin
1.4
low confidence
Activity & evidence
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