Search Results for author: Mario Bergés

Found 3 papers, 1 papers with code

HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis

1 code implementation23 Jul 2021 Jingxiao Liu, Susu Xu, Mario Bergés, Hae Young Noh

Monitoring bridge health using vibrations of drive-by vehicles has various benefits, such as no need for directly installing and maintaining sensors on the bridge.

Unsupervised Domain Adaptation

Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning

no code implementations5 Jun 2020 Jingxiao Liu, Mario Bergés, Jacobo Bielak, Hae Young Noh

Specifically, we train a deep network in an adversarial way to learn features that are 1) sensitive to damage and 2) invariant to different bridges.

Multi-Task Learning

Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization

no code implementations25 May 2020 Alan Mazankiewicz, Klemens Böhm, Mario Bergés

Previous work has addressed this challenge by personalizing general recognition models to the unique motion pattern of a new user in a static batch setting.

Domain Adaptation Human Activity Recognition

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