Gaëtan Frusque

According to our database, Gaëtan Frusque authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation.

Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Classifier-free diffusion-based weakly-supervised approach for health indicator derivation in rotating machines: Advancing early fault detection and condition monitoring.

Wenyang Hu, Gaëtan Frusque, Tianyang Wang, Fulei Chu, Olga Fink

Reliab. Eng. Syst. Saf., 2025

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers.

Chi-Ching Hsu, Gaëtan Frusque, Florent Forest, Felipe Macedo, Christian M. Franck, Olga Fink

Reliab. Eng. Syst. Saf., 2025

Continuous Health State Monitoring of High-Voltage Circuit Breakers.

Chi-Ching Hsu, Gaëtan Frusque, Olga Fink, Christian M. Franck

IEEE Access, 2025

2024

Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression.

Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink

CoRR, 2024

Robust time series denoising with learnable wavelet packet transform.

Gaëtan Frusque, Olga Fink

Adv. Eng. Informatics, 2024

Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation.

Keivan Faghih Niresi, Lucas Kuhn, Gaëtan Frusque, Olga Fink

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios.

Baorui Dai, Gaëtan Frusque, Tianfu Li, Qi Li, Olga Fink

Eng. Appl. Artif. Intell., November, 2023

Semi-Supervised Health Index Monitoring with Feature Generation and Fusion.

Gaëtan Frusque, Ismail Nejjar, Majid Nabavi, Olga Fink

CoRR, 2023

A Comparison of Residual-based Methods on Fault Detection.

Chi-Ching Hsu, Gaëtan Frusque, Olga Fink

CoRR, 2023

Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios.

Baorui Dai, Gaëtan Frusque, Tianfu Li, Qi Li, Olga Fink

CoRR, 2023

Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach.

Gaëtan Frusque, Daniel Mitchell, Jamie Blanche, David Flynn, Olga Fink

CoRR, 2023

2022

Vacuum Circuit Breaker Closing Time Key Moments Detection via Vibration Monitoring: A Run-to-Failure Study.

Chi-Ching Hsu, Gaëtan Frusque, Mahir Muratovic, Christian M. Franck, Olga Fink

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Learnable Wavelet Packet Transform for Data-Adapted Spectrograms.

Gaëtan Frusque, Olga Fink

Proceedings of the IEEE International Conference on Acoustics, 2022

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning.

Ismail Nejjar, Jean Meunier-Pion, Gaëtan Frusque, Olga Fink

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection.

Gaëtan Frusque, Gabriel Michau, Olga Fink

CoRR, 2021

2020

Inférence et décomposition modale de réseaux dynamiques en neurosciences. (Inference and Modal Decomposition of Dynamic Networks in Neuroscience).

Gaëtan Frusque

PhD thesis, 2020

Multiplex Network Inference With Sparse Tensor Decomposition for Functional Connectivity.

Gaëtan Frusque, Julien Jung, Pierre Borgnat, Paulo Gonçalves

IEEE Trans. Signal Inf. Process. over Networks, 2020

Regularized Partial Phase Synchrony Index Applied to Dynamical Functional Connectivity Estimation.

Gaëtan Frusque, Julien Jung, Pierre Borgnat, Paulo Gonçalves

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020