Nhan Tran

Väitöskirjatutkija

Yksikkö

Informaatioteknologian tiedekunta

Sähköposti

huynh.d.n.tran@jyu.fi

Matkapuhelin

+358505920798

Julkaisut

Julkaisu

2026

An Agentic RAG-Based LLM System for Medicine Recommendation

International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems. Lecture Notes in Computer Science. Springer Cham.

Nguyen, Ngoc-Thanh-Xuan

Vo, Ngoc-Sang

Tran, Huynh-Dai-Nhan

Trinh, Manh-Hung

Truong, Ha-Vu

Pham, Hoang-Anh

Julkaisu

2026

Benchmarking Local XAI Against TreeSHAP for Explainable Diabetes Prediction

International Conference on Industrial, Engineering and Other Applications of Applied Intelligent. Lecture Notes in Computer Science. Springer Nature.

Tran, Quang-Anh-Kiet

Trinh, Manh-Hung

Nguyen, Tuan-Huy

Tran, Huynh-Dai-Nhan

Ngo, Tan-Nguyen

Tran, Phat

Pham, Hoang-Anh

Julkaisu

2026

Transformer-Based Classification of Illicit Darknet Marketplace Products: A Comparative NLP Study of Machine Learning

Industrial, Engineering and Other Applications of Applied Intelligent Systems. Lecture Notes in Computer Science. Springer Cham.

Tran, Quang-Anh-Kiet

Ngo, Tan-Nguyen

Trinh, Manh-Hung

Tran, Huynh-Dai-Nhan

Nguyen, Tuan-Huy

Tran, Phat

Pham, Hoang-Anh

Julkaisu

2025

Grad-CAM-Driven Explainable Deep Learning Framework for Cervical Cancer Image Classification

International Conference on Multi-disciplinary Trends in Artificial Intelligence. Lecture Notes in Computer Science. Springer Singapore.

Tran, Huynh-Dai-Nhan

Pham, Tan-Phuoc

Trinh, Manh-Hung

Ngo, Tan-Nguyen

Nguyen, Tan-Hung

Pham, Hoang-Anh

Julkaisu

2025

ParkiDxAI: An Explainable AI System for Parkinson’s Disease Diagnosis

International Conference on Multi-disciplinary Trends in Artificial Intelligence. Lecture Notes in Computer Science. Springer Singapore.

Tran, Huynh-Dai-Nhan

Isomursu, Minna

Trinh, Manh-Hung

Ngo, Tan-Nguyen

Le, Gia-Hau

Pham, Hoang-Anh

Nhan Tran

An Agentic RAG-Based LLM System for Medicine Recommendation

Benchmarking Local XAI Against TreeSHAP for Explainable Diabetes Prediction

Transformer-Based Classification of Illicit Darknet Marketplace Products: A Comparative NLP Study of Machine Learning

Grad-CAM-Driven Explainable Deep Learning Framework for Cervical Cancer Image Classification

ParkiDxAI: An Explainable AI System for Parkinson’s Disease Diagnosis

Koneälymenetelmät ja -sovellukset (MIMA)