6 citations · 15 across the 13 of their papers we have counts for
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AI in Manufacturing: Market Analysis and Opportunities
Mohamed Abdelaal
In this paper, we explore the transformative impact of Artificial Intelligence (AI) in the manufacturing sector, highlighting its potential to revolutionize industry practices and…
Open-Source Drift Detection Tools in Action: Insights from Two Use Cases
Rieke Müller, Mohamed Abdelaal, Davor Stjelja
Data drifts pose a critical challenge in the lifecycle of machine learning (ML) models, affecting their performance and reliability. In response to this challenge, we present a mic…
LLMClean: Context-Aware Tabular Data Cleaning via LLM-Generated OFDs
Fabian Biester, Mohamed Abdelaal, Daniel Del Gaudio
Machine learning's influence is expanding rapidly, now integral to decision-making processes from corporate strategy to the advancements in Industry 4.0. The efficacy of Artificial…
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…
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…
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…