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ORCIDTruong Thanh Hung Nguyen
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2020 – today
- 2024
[c5]Tobias Clement, Truong Thanh Hung Nguyen
, Mohamed Abdelaal, Hung Cao:
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection. ICCE 2024: 1-4- [c4]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: 1-4 - [c3]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. IJCAI 2024: 8754-8758 - [i12]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 abs/2401.09852 (2024) - [i11]Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal, Hung Cao:
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection. CoRR abs/2401.09900 (2024) - [i10]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 abs/2402.04982 (2024) - [i9]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 abs/2402.12179 (2024) - [i8]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 abs/2402.12525 (2024) - [i7]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 abs/2404.13417 (2024) - [i6]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 abs/2407.11771 (2024) - [i5]Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Monica Wachowicz, Hung Cao:
MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities. CoRR abs/2409.15243 (2024) - 2023
- [c2]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: 1385-1400 - [c1]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: 147-159 - [i4]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 abs/2303.04731 (2023) - [i3]Van Binh Truong, Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Quoc Khanh Nguyen, Quoc Hung Cao:
Towards Better Explanations for Object Detection. CoRR abs/2306.02744 (2023) - [i2]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 abs/2306.03400 (2023) - [i1]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 abs/2307.04137 (2023)
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