3 papers
cs.LG2024
Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
Dacian Goina, Eduard Hogea, George Maties
This paper presents a novel anomaly detection methodology termed Statistical Aggregated Anomaly Detection (SAAD). The SAAD approach integrates advanced statistical techniques with…
cs.CV2024
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing
Eduard Hogea, Adrian Popescu, Darian Onchis +1
Exemplar-free class-incremental learning (EFCIL) poses significant challenges, primarily due to catastrophic forgetting, necessitating a delicate balance between stability and plas…
cs.LG2023
Neuro-symbolic model for cantilever beams damage detection
Darian Onchis, Gilbert-Rainer Gillich, Eduard Hogea +1
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 n…