Om forskningsgruppen
Områder vi forsker på
Medlemmer
Vitenskapelig ansatte
Stipendiater og postdoktorer
Prosjekter
- Battery Cell Assembly Twin (BatCAT)
- Advancing Controlled Environment Agriculture Using Artificial Intelligence
Publikasjoner
"Symbolic-AI-Fusion Deep Learning (SAIF-DL): Encoding Knowledge into Training with Answer Set Programming Loss Penalties by a Novel Loss Function Approach."
Designing the Conceptual Landscape for a XAIR Validation Infrastructure: Proceedings of the International Workshop on Designing the Conceptual Landscape for a XAIR Validation Infrastructure, DCLXVI, Springer Nature, 2025.
‘SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning’
In Proceedings of the Winter Conference on Applications of Computer Vision, 2025.
Building trustworthy AI: transparent AI systems via language models, ontologies, and logical reasoning (TranspNet)
Designing the Conceptual Landscape for a XAIR Validation Infrastructure Workshop, 2025.
‘Deep Learning Based Models for Paddy Disease Identification and Classification: A Systematic Survey’
IEEE Access, 2024
Integrating industry 4.0 technologies in defense manufacturing: Challenges, solutions, and potential opportunities
Elsevier Journal of Array, 2024
"Recognizing hand-based micro activities using wrist-worn inertial sensors: a zero-shot learning approach."
The Combined Power of Research, Education, and Dissemination, Springer Nature, 2024
An integral projection-based semantic autoencoder for zero-shot learning
IEEE Access, 2023
Hfm: A hybrid feature model based on conditional auto encoders for zero-shot learning
Journal of Imaging, 2022