Search Results for author:
Found 2 papers, 0 papers with code
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing
Exemplar-free class-incremental learning (EFCIL) poses significant challenges, primarily due to catastrophic forgetting, necessitating a delicate balance between stability and plasticity to accurately recognize both new and previous classes.
Neuro-symbolic model for cantilever beams damage detection
In the last decade, damage detection approaches swiftly changed from advanced signal processing methods to machine learning and especially deep learning models, to accurately and non-intrusively estimate the state of the beam structures.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
