Om forskningsgruppen
Områder vi forsker på
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Vitenskapelig ansatte
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Prosjekter
- Battery Cell Assembly Twin (BatCAT)
- Advancing Controlled Environment Agriculture Using Artificial Intelligence
- DigiPass
- Industrial AI for Safety-Critical Systems
Publikasjoner: Transfer Learning
“An Integral Projection-Based Semantic Autoencoder for Zero-Shot Learning”
“SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning”
Proceedings of the Winter Conference on Applications of Computer Vision (WACV), pp. 30–41, 2025.
“RevCD – Reversed Conditional Diffusion for Generalized Zero-Shot Learning”
International Conference on Deep Learning Theory and Applications (DeLTA), 2024.
“HADL: A Haar-DCT and Low-Rank Framework for Noise-Resilient Long-Term Time Series Forecasting”
International Conference on Time Series and Forecasting (ITISE), 2025.
Publikasjoner: Trustworthy AI, Explainable AI, and Knowledge-Infused Learning
“Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach”
DCLXVI International Workshop, Kaiserslautern, Germany, 2024.
“Building Trustworthy AI: Transparent AI Systems via Large Language Models, Ontologies, and Logical Reasoning (TRANSPNET)”
DCLXVI International Workshop, Kaiserslautern, Germany, 2024.
“Towards Explainable Ensemble Learning: Adaptive Feature Space Pruning and Optimized Classifier Selection”
DCLXVI International Workshop, Kaiserslautern, Germany, 2024.
Publikasjoner: Robust and Generalizable Neural Architectures for Knowledge Extraction
“A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy”
Sensors, 2023.
“A Graph Attention Network Based System for Robust Analog Circuits’ Structure Recognition Involving a Novel Data Augmentation Technique”
IEEE Access, 2024.