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20242026
most citedBeyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction

2 citations · 5 across the 18 of their papers we have counts for

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6 papers · 1 filter

cs.AI2024★ 1 cited

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

Truong Thanh Hung Nguyen, Phuc Truong Loc Nguyen, Monica Wachowicz +1

This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen e…

cs.CV2024

XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach

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

Recent advancements in deep learning have significantly improved visual quality inspection and predictive maintenance within industrial settings. However, deploying these technolog…

cs.CV2024★ 1 cited

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 +5

LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks. Despite…

cs.CV2024

Examining Monitoring System: Detecting Abnormal Behavior In Online Examinations

Dinh An Ngo, Thanh Dat Nguyen, Thi Le Chi Dang +4

Cheating in online exams has become a prevalent issue over the past decade, especially during the COVID-19 pandemic. To address this issue of academic dishonesty, our "Exam Monitor…

cs.LG2024★ 2 cited

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

Tobias Clement, Hung Truong Thanh Nguyen, Nils Kemmerzell +2

This paper presents an approach integrating explainable artificial intelligence (XAI) techniques with adaptive learning to enhance energy consumption prediction models, with a focu…

cs.CV2024

XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection

Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal +1

Visual quality inspection systems, crucial in sectors like manufacturing and logistics, employ computer vision and machine learning for precise, rapid defect detection. However, th…