no code implementations • 29 Jan 2025 • Mohamed Abdelaal, Samuel Lokadjaja, Gilbert Engert
This paper introduces GLLM, an innovative tool that leverages Large Language Models (LLMs) to automatically generate G-code from natural language instructions for Computer Numerical Control (CNC) machining.
no code implementations • 28 Jan 2025 • Kanishk Chaturvedi, Johannes Gasthuber, Mohamed Abdelaal
This paper introduces EdgeMLOps, a framework leveraging Cumulocity IoT and thin-edge. io for deploying and managing machine learning models on resource-constrained edge devices.
no code implementations • 29 Apr 2024 • 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.
1 code implementation • 19 Feb 2024 • Truong Thanh Hung Nguyen, Tobias Clement, Phuc Truong Loc Nguyen, Nils Kemmerzell, Van Binh Truong, Vo Thanh Khang Nguyen, Mohamed Abdelaal, Hung Cao
LangXAI is a framework that integrates Explainable Artificial Intelligence (XAI) with advanced vision models to generate textual explanations for visual recognition tasks.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+3
no code implementations • 7 Feb 2024 • Tobias Clement, Hung Truong Thanh Nguyen, Nils Kemmerzell, Mohamed Abdelaal, Davor Stjelja
Leveraging SHAP clustering, our method provides interpretable explanations for model predictions and uses these insights to adaptively refine the model, balancing model complexity with predictive performance.
no code implementations • 18 Jan 2024 • Tobias Clement, Truong Thanh Hung Nguyen, Mohamed Abdelaal, Hung Cao
Visual quality inspection systems, crucial in sectors like manufacturing and logistics, employ computer vision and machine learning for precise, rapid defect detection.
1 code implementation • 26 Apr 2023 • Mohamed Abdelaal, Rashmi Koparde, Harald Schoening
Machine learning algorithms have become increasingly prevalent in multiple domains, such as autonomous driving, healthcare, and finance.
1 code implementation • 9 Feb 2023 • Mohamed Abdelaal, Christian Hammacher, Harald Schoening
In this work, we introduce a comprehensive benchmark, called REIN1, to thoroughly investigate the impact of data cleaning methods on various ML models.
no code implementations • 4 Jul 2022 • Benjamin Hilprecht, Christian Hammacher, Eduardo Reis, Mohamed Abdelaal, Carsten Binnig
In this paper, we present our vision of differentiable ML pipelines called DiffML to automate the construction of ML pipelines in an end-to-end fashion.