Truong Thanh Hung Nguyen

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 15

Top Topics

Adaptive Learning

Energy Consumption

Object Detectors

Top Venues

Publications

Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Tuong Phan, Hung Cao
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer. CoRR (2024)
Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal, Hung Cao
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection. ICCE (2024)
Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Hung Cao, Van Binh Truong, Quoc Khanh Nguyen, Hung Cao
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI. ICCE (2024)
Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal, Hung Cao
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection. CoRR (2024)
Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. CoRR (2024)
Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao
LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks. CoRR (2024)
Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Hung Cao
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach. CoRR (2024)
Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Hung Cao, Van Binh Truong, Quoc Khanh Nguyen, Hung Cao
Enhancing the Fairness and Performance of Edge Cameras with Explainable AI. CoRR (2024)
Dinh An Ngo, Thanh Dat Nguyen, Thi Le Chi Dang, Huy Hoan Le, Ton Bao Ho, Vo Thanh Khang Nguyen, Truong Thanh Hung Nguyen
Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations. CoRR (2024)
Truong Thanh Hung Nguyen, Van Binh Truong, Vo Thanh Khang Nguyen, Quoc Hung Cao, Quoc Khanh Nguyen
Towards Trust of Explainable AI in Thyroid Nodule Diagnosis. CoRR (2023)
Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao
Towards Better Explanations for Object Detection. CoRR (2023)
Quoc Hung Cao, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Xuan Phong Nguyen
A Novel Explainable Artificial Intelligence Model in Image Classification problem. CoRR (2023)
Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao
Towards Better Explanations for Object Detection. ACML (2023)
Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja
Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. AI (2) (2023)
Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Quoc Hung Cao
G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors. CoRR (2023)