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ORCIDGaëtan Frusque
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2020 – today
- 2024
[j3]Gaëtan Frusque
, Olga Fink:
Robust time series denoising with learnable wavelet packet transform. Adv. Eng. Informatics 62: 102669 (2024)- [c5]Keivan Faghih Niresi, Lucas Kuhn, Gaëtan Frusque, Olga Fink:
Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation. EUSIPCO 2024: 2467-2471 - [i10]Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink:
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression. CoRR abs/2401.13721 (2024) - [i9]Wenyang Hu, Gaëtan Frusque, Tianyang Wang, Fulei Chu, Olga Fink:
Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring. CoRR abs/2409.01676 (2024) - 2023
- [j2]Baorui Dai, Gaëtan Frusque, Tianfu Li, Qi Li, Olga Fink:
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios. Eng. Appl. Artif. Intell. 126(Part D): 107202 (2023) - [i8]Gaëtan Frusque, Daniel Mitchell, Jamie Blanche, David Flynn, Olga Fink:
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach. CoRR abs/2306.10808 (2023) - [i7]Baorui Dai, Gaëtan Frusque, Tianfu Li, Qi Li, Olga Fink:
Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios. CoRR abs/2307.01429 (2023) - [i6]Chi-Ching Hsu, Gaëtan Frusque, Olga Fink:
A Comparison of Residual-based Methods on Fault Detection. CoRR abs/2309.02274 (2023) - [i5]Hao Dong, Gaëtan Frusque, Yue Zhao, Eleni N. Chatzi, Olga Fink:
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation. CoRR abs/2311.11961 (2023) - [i4]Gaëtan Frusque, Ismail Nejjar, Majid Nabavi, Olga Fink:
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion. CoRR abs/2312.02867 (2023) - 2022
- [c4]Ismail Nejjar, Jean Meunier-Pion, Gaëtan Frusque, Olga Fink:
DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning. DCASE 2022 - [c3]Gaëtan Frusque, Olga Fink:
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms. ICASSP 2022: 3119-3123 - [c2]Chi-Ching Hsu, Gaëtan Frusque, Mahir Muratovic, Christian M. Franck, Olga Fink:
Vacuum Circuit Breaker Closing Time Key Moments Detection via Vibration Monitoring: A Run-to-Failure Study. SMC 2022: 254-260 - [i3]Gaëtan Frusque, Olga Fink:
Learnable Wavelet Packet Transform for Data-Adapted Spectrograms. CoRR abs/2201.11069 (2022) - [i2]Gaëtan Frusque, Olga Fink:
Robust Time Series Denoising with Learnable Wavelet Packet Transform. CoRR abs/2206.06126 (2022) - 2021
- [i1]Gaëtan Frusque, Gabriel Michau, Olga Fink:
Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection. CoRR abs/2107.09519 (2021) - 2020
- [b1]Gaëtan Frusque:
Inférence et décomposition modale de réseaux dynamiques en neurosciences. (Inference and Modal Decomposition of Dynamic Networks in Neuroscience). University of Lyon, France, 2020 - [j1]Gaëtan Frusque, Julien Jung, Pierre Borgnat, Paulo Gonçalves:
Multiplex Network Inference With Sparse Tensor Decomposition for Functional Connectivity. IEEE Trans. Signal Inf. Process. over Networks 6: 316-328 (2020) - [c1]Gaëtan Frusque, Julien Jung, Pierre Borgnat, Paulo Gonçalves:
Regularized Partial Phase Synchrony Index Applied to Dynamical Functional Connectivity Estimation. ICASSP 2020: 5955-5959
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