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researcher

Van Pham

4 papers hereh-index 00 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI3
  • cs.CV1

identity via Semantic Scholar / OpenAlex

works on
depression annotation 1dsm-5 1explainable AI 1human-in-the-loop 1large language models 1mental health 1

From the 1 of 4 linked papers with an AI index.

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs

Hai-Nam Duy Vuong, Duy-Anh Bui, Trong-Nghia Nguyen +5

The electrocardiogram (ECG) is a cornerstone of cardiac as- sessment, yet clinical deployment of deep learning models remains con- strained by limited interpretability and the hall…

cs.AI2026

Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation

Hoang-Loc Cao, Van Pham, Truong Thanh Hung Nguyen +4

The paper proposes a self‑evolving, expert‑in‑the‑loop framework that uses large language models to generate and refine depression symptom annotations aligned with DSM‑5‑TR criteri…

cs.AI2026

Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification

Truong Thanh Hung Nguyen, Khanh Van Quynh Nguyen, Hoang-Loc Cao +5

Accurate Harmonized Tariff Schedule (HTS) code classification is essential for customs clearance, duty assessment, trade statistics, and regulatory compliance in maritime logistics…

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