Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annota
Annotation quality is a major bottleneck in building reliable and explainable artificial intelligence (XAI) systems for mental health research. In depression-related datasets, labels are often assigned without structured evidence, symptom-l
https://arxiv.org/abs/2607.15202v1 ↗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
Unknown
Location unknown — 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
H
Hoang-Loc Cao
2.0
low confidence
V
Van Pham
2.0
low confidence
T
Truong Thanh Hung Nguyen
2.0
low confidence
P
Phuc Truong Loc Nguyen
2.0
low confidence
P
Phuc Ho
2.0
low confidence
V
Veronica Whitford
2.0
low confidence
H
Hung Cao
2.0
low confidence
Activity & evidence
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