Towards Better Explanations for Object Detection. - Van Binh Truong; Truong Thanh Hung Nguyen; Vo Thanh Khang Nguyen; Quoc Khanh Nguyen; Quoc Hung Cao (ACML, 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 001; Davor Stjelja (AI (2), 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)

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)

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)

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 (Canadian AI, 2024)

XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection. - Tobias Clement; Truong Thanh Hung Nguyen; Mohamed Abdelaal 001; Hung Cao (ICCE, 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 (ICCE, 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 001; Hung Cao (IJCAI, 2024)

Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction. - Tobias Clement; Truong Thanh Hung Nguyen; Nils Kemmerzell; Mohamed Abdelaal 001; Davor Stjelja (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)

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)

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)

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 (Canadian AI, 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 (Canadian AI, 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 (PAKDD (2), 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)

ODExAI: A Comprehensive Object Detection Explainable AI Evaluation. - Phuc Truong Loc Nguyen; Truong Thanh Hung Nguyen; Hung Cao (CoRR, 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, 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, 2025)