Truong Thanh Hung Nguyen

According to our database, Truong Thanh Hung Nguyen authored at least 20 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation.

Seyed Alireza Rahimi Azghadi, Truong Thanh Hung Nguyen, Hélène Fournier, Monica Wachowicz, Rene Richard, Francis Palma, Hung Cao

CoRR, July, 2025

Multimedia Verification Through Multi-Agent Deep Research Multimodal Large Language Models.

Huy Hoan Le, Van Sy Thinh Nguyen, Thi Le Chi Dang, Vo Thanh Khang Nguyen, Truong Thanh Hung Nguyen, Hung Cao

CoRR, July, 2025

ODExAI: A Comprehensive Object Detection Explainable AI Evaluation.

Phuc Truong Loc Nguyen, Truong Thanh Hung Nguyen, Hung Cao

CoRR, April, 2025

XEdgeAI: A human-centered industrial inspection framework with data-centric Explainable Edge AI approach.

Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Hung Cao

Inf. Fusion, 2025

Human-Centered Explainable Psychiatric Disorder Diagnosis System Using Wearable ECG Monitors.

Truong Thanh Hung Nguyen, Alireza Rahimi, Veronica Whitford, Hélène Fournier, Irina Kondratova, René Richard, Hung Cao

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

XGD: Explainable AI-Guided Knowledge Distillation with Feature Refinement for Semantic Segmentation.

Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Quoc Khanh Nguyen, Phuc Truong Loc Nguyen, Francis Palma, Quoc Hung Cao

Proceedings of the 38th Canadian Conference on Artificial Intelligence, 2025

SF2D: Semi-supervised Federated Learning for Fall Detection using (Un)labelled Data in Edge-Cloud.

Seyed Alireza Rahimi Azghadi, Truong Thanh Hung Nguyen, Irina Kondratova, Hélène Fournier, Monica Wachowicz, Francis Palma, René Richard, Hung Cao

Proceedings of the 38th Canadian Conference on Artificial Intelligence, 2025

2024

MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities.

Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Monica Wachowicz, Hung Cao

CoRR, 2024

Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer.

Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Tuong Phan, Hung Cao

CoRR, 2024

Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations.

Dinh An Ngo, Thanh Dat Nguyen, Thi Le Chi Dang, Huy Hoan Le, Ton Bao Ho, Vo Thanh Khang Nguyen, Truong Thanh Hung Nguyen

CoRR, 2024

Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction.

Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja

CoRR, 2024

LangXAI: Integrating Large Vision Models for Generating Textual Explanations to Enhance Explainability in Visual Perception Tasks.

Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Enhancing the Fairness and Performance of Edge Cameras with Explainable AI.

Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Hung Cao, Van Binh Truong, Quoc Khanh Nguyen, Hung Cao

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection.

Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal, Hung Cao

Proceedings of the IEEE International Conference on Consumer Electronics, 2024

Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer.

Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Tuong Phan, Quoc Hung Cao

Proceedings of the 37th Canadian Conference on Artificial Intelligence, 2024

2023

A Novel Explainable Artificial Intelligence Model in Image Classification problem.

Quoc Hung Cao, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Xuan Phong Nguyen

CoRR, 2023

G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors.

Quoc Khanh Nguyen, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Van Binh Truong, Quoc Hung Cao

CoRR, 2023

Towards Trust of Explainable AI in Thyroid Nodule Diagnosis.

Truong Thanh Hung Nguyen, Van Binh Truong, Vo Thanh Khang Nguyen, Quoc Hung Cao, Quoc Khanh Nguyen

CoRR, 2023

Coping with Data Distribution Shifts: XAI-Based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction.

Tobias Clement, Truong Thanh Hung Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Towards Better Explanations for Object Detection.

Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao

Proceedings of the Asian Conference on Machine Learning, 2023