Publikasjoner
- Comparative analysis and trends in performance of identical PV panels under different climatic conditions Les publikasjonen
- LLMDapCat: An LLM-based Data Catalogue System for Data Sharing and Exploration Les publikasjonen
- Building a Canonical Register of Public Sector Entities: Semantic Linking of Procurement Data at Scale Les publikasjonen
- DataPACT: Compliance by Design of Data/AI Operations and Pipelines Les publikasjonen
- Automated Compliance for Data and AI Pipelines: the DataPACT Project Les publikasjonen
- ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction
- Digital Twin Framework to Enable Green Ship Operations Towards Zero Emission Vessels—TwinShip Approach Les publikasjonen
- Positioning LLM-Enabled Agents as Legal Compliance Aides for Data Pipelines
- Weighted sequence neural processes based uncertainty-aware machinery failure prognostic for mineral manufacturing equipment Les publikasjonen
- Core Services for Compliant and Trustworthy Data Marketplaces: the EU UPCAST Project Les publikasjonen
Annen formidling
- Rules and Reasoning: 9th International Joint Conference, RuleML+RR 2025, Istanbul, Turkey, September 22–24, 2025, Proceedings
- Leveraging Large Language Models and Knowledge Graphs for Disease Theory Exploration and Causal Analysis
- Knowledge Graph-Driven Policy Enforcement in Urban Dataspace
- LLMDap: LLM-based Data Profiling and Sharing
- Human-in-the-Loop Entity Linking Visualization and Refinement with KOALA-UI and the Crocodile Framework
- A Data Space-Driven Approach for Interoperability in Federated Digital Twins
- Synthetic Data Generation for Electric Vehicle Charging
- Towards a Toolkit for Semantic Interoperability in Data Spaces
- enRichMyData: Enabling Data Enrichment Pipelines for AI-driven Business Products and Services
- Predicting milling overload based on sensor data: a graph-based approach