SENSE
Semantics-based Explanation of Cyber-physical Systems
Publications
2025
- Majlinda Llugiqi, Fajar J. Ekaputra, Marta Sabou. “Semantic-based Data Augmentation for Machine Learning Prediction Enhancement” Neurosymbolic Artificial Intelligence 2025
- Katrin Schreiberhuber, Paul Maurer, Fajar J. Ekaputra, Marta Sabou. “Exploring LLMs for Causal Discovery in Cyber-Physical Systems” Workshop on Causal Neuro-symbolic Artificial Intelligence 2025
- Wolfgang Prüggler and Alfred Einfalt and Daniel Hauer and Juliana Kainz. “Erklärung von (anormalen) Ereignissen in Energiesystemen — Fallstudien zu möglichen ökonomischen Auswirkungen” IEWT 2025
2024
- Mohammad Bilal, Gernot Steindl, Max Thoma, Wolfgang Kastner. “A Methodology to Convert Tacit Knowledge into Explicit Knowledge – Smart Building Use Case” ICCA 2024
- Majlinda Llugiqi, Fajar J. Ekaputra, Marta Sabou. “Leveraging Knowledge Graphs for Enhancing Machine Learning-based Heart Disease Prediction.” AIRoV 2024.
- Juliana Kainz, Alfred Einfalt, Gerhard Engelbrecht, Albin Frischenschlager, Christian Wolloner. “Application of Operating Envelopes to increase hosting capacity for smart charging facilities in urban distribution grids.” CIRED WS2024.
- Tobias Schwarzinger, Gernot Steindl, Thomas Frühwirth, Konrad Diwold. “Semi-Automated Event Specification for Knowledge-Based Event Detection.” ETFA 2024.
- Felix Pacher, Gernot Steindl. “Enabling Semantically Enriched Data Streams from OPC UA in Industrial Cyber-Physical Systems” ISM 2024.
- Valentin Just, Gernot Steindl, Wolfgang Kastern. “The Independent Event Log Layer (IELL): Semantic Integration of Industrial IoT Event Logs” ISM 2024.
- Marta Sabou, Katrin Schreiberhuber, Fajar Ekaputra, Alfred Einfalt, Thomas Frühwirth, Daniel Hauer, Juliana Kainz, Gernot Steindl, Konrad Diwold. “Semantics-based explanation of (unusual) events in the energy system” ComForEn24
- Katrin Schreiberhuber. “Semantics-enabled System Transparency: Towards User-centered Explanations in Cyber-physical Systems.” ISWC 2024 (DC).
- Katrin Schreiberhuber, Fajar Ekaputra, Marta Sabou, Daniel Hauer, Konrad Diwold, Thomas Frühwirth, Gernot Steindl, Tobias Schwarzinger. “Event Explanations in Cyber-Physical Systems – A Causal Exploration Algorithm.” DACH+ Energy Informatics.
- Matthias Bittner, Daniel Hauer, Matthias Wess, Dominik Dallinger, Daniel Schnoell, Konrad Diwold, Axel Jantsch. “Interpretable Load Forecasting with Structured State Space Neural Networks” ECML PKDD 2024.
- Matthias Bittner, Daniel Hauer, Matthias Wess, Daniel Schnoell, Konrad Diwold, Axel Jantsch. “Forecasting Load Profiles and Critical Overloads with Uncertainty Quantification for Low Voltage Smart Grids” ICSRS 2024.
- Majlinda Llugiqi, Fajar Ekaputra, Marta Sabou. “Enhancing Machine Learning Predictions through Knowledge Graph Embeddings.” NESY 2024.
- Gernot Steindl, Tobias Schwarzinger, Katrin Schreiberhuber, Fajar Ekaputra. “Towards Semantic Event-handling for building Explainable Cyber-physical Systems.” IEEE Open Journal of the Industrial Electronics Society.
- Fajar J. Ekaputra. “Pattern-Based Engineering of Neurosymbolic AI Systems” Journal of Web Semantics.
2023
- Katrin Schreiberhuber, Marta Sabou, Fajar J. Ekaputra, Peter Knees, Peb Ruswono Aryan, Alfred Einfalt, Ralf Mosshammer. “Causality Prediction with Neural-Symbolic Systems: A Case Study in Smart Grids.” NESY 2023.
- Matthias Bittner, Daniel Hauer, Christian Stippel, Katharina Scheucher, Robin Sudhoff, Axel Jantsch. “Forecasting Critical Overloads Based on Heterogeneous Smart Grid Simulation.” ICMLA 2023.