| Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series G Michau, G Frusque, O Fink Proceedings of the National Academy of Sciences 119 (8), e2106598119, 2022 | 76 | 2022 |
| Robust time series denoising with learnable wavelet packet transform G Frusque, O Fink Advanced Engineering Informatics 62, 102669, 2024 | 25 | 2024 |
| Acceleration-guided acoustic signal denoising framework based on learnable wavelet transform applied to slab track condition monitoring B Dai, G Frusque, Q Li, O Fink IEEE Sensors Journal 22 (24), 24140-24149, 2022 | 14 | 2022 |
| Learnable wavelet packet transform for data-adapted spectrograms G Frusque, O Fink ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 14 | 2022 |
| Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios B Dai, G Frusque, T Li, Q Li, O Fink Engineering Applications of Artificial Intelligence 126, 107202, 2023 | 11 | 2023 |
| Canonical polyadic decomposition and deep learning for machine fault detection G Frusque, G Michau, O Fink arXiv preprint arXiv:2107.09519, 2021 | 10 | 2021 |
| Vacuum circuit breaker closing time key moments detection via vibration monitoring: A run-to-failure study CC Hsu, G Frusque, M Muratovic, CM Franck, O Fink 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 9 | 2022 |
| Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach G Frusque, D Mitchell, J Blanche, D Flynn, O Fink Mechanical Systems and Signal Processing 208, 111022, 2024 | 8 | 2024 |
| A comparison of residual-based methods on fault detection CC Hsu, G Frusque, O Fink arXiv preprint arXiv:2309.02274, 2023 | 8 | 2023 |
| Multiplex network inference with sparse tensor decomposition for functional connectivity G Frusque, J Jung, P Borgnat, P Gonçalves IEEE transactions on Signal and Information Processing over Networks 6, 316-328, 2020 | 8 | 2020 |
| Transmission and distribution equipment: providing intelligent maintenance CM Franck, CC Hsu, Y Xiao, P Bleuler, G Frusque, M Muratovic, ... IEEE Power and Energy Magazine 21 (2), 18-29, 2023 | 5 | 2023 |
| DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning. I Nejjar, J Meunier-Pion, G Frusque, O Fink DCASE, 2022 | 5 | 2022 |
| Nng-mix: Improving semi-supervised anomaly detection with pseudo-anomaly generation H Dong, G Frusque, Y Zhao, E Chatzi, O Fink IEEE Transactions on Neural Networks and Learning Systems, 2024 | 4 | 2024 |
| Semisupervised Health Index Monitoring With Feature Generation and Fusion G Frusque, I Nejjar, M Nabavi, O Fink IEEE Transactions on Reliability, 2024 | 3 | 2024 |
| Uncertainty-guided alignment for unsupervised domain adaptation in regression I Nejjar, G Frusque, F Forest, O Fink arXiv preprint arXiv:2401.13721, 2024 | 3 | 2024 |
| Dcase challenge 2022: Self-supervised learning pre-training, training for unsupervised anomalous sound detection I Nejjar, J Meunier-Pion, G Frusque, O Fink, GY CentraleSupélec DCASE2022 Challenge, Tech. Rep, 2022 | 2 | 2022 |
| Semi-automatic extraction of functional dynamic networks describing patient's epileptic seizures G Frusque, P Borgnat, P Gonçalves, J Jung Frontiers in Neurology 11, 579725, 2020 | 2 | 2020 |
| Regularized partial phase synchrony index applied to dynamical functional connectivity estimation G Frusque, J Jung, P Borgnat, P Gonçalves ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| Sparse tensor dimensionality reduction with application to clustering of functional connectivity G Frusque, J Jung, P Borgnat, P Gonçalves Wavelets and Sparsity XVIII 11138, 201-217, 2019 | 2 | 2019 |
| Informed graph learning by domain knowledge injection and smooth graph signal representation KF Niresi, L Kuhn, G Frusque, O Fink 2024 32nd European Signal Processing Conference (EUSIPCO), 2467-2471, 2024 | 1 | 2024 |
