no code implementations • 12 Mar 2024 • Eduard Hogea, Adrian Popescu, Darian Onchis, Grégoire Petit
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.
no code implementations • 4 May 2023 • Darian Onchis, Gilbert-Rainer Gillich, Eduard Hogea, Cristian Tufisi
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.
1 code implementation • 16 Oct 2021 • Habib Slim, Eden Belouadah, Adrian Popescu, Darian Onchis
We introduce a two-step learning process which allows the transfer of bias correction parameters between reference and target datasets.