Regularized Partial Phase Synchrony Index Applied to Dynamical Functional Connectivity Estimation. - Gaëtan Frusque; Julien Jung; Pierre Borgnat; Paulo Gonçalves 001 (ICASSP, 2020)

Multiplex Network Inference With Sparse Tensor Decomposition for Functional Connectivity. - Gaëtan Frusque; Julien Jung; Pierre Borgnat; Paulo Gonçalves 001 (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Inférence et décomposition modale de réseaux dynamiques en neurosciences. (Inference and Modal Decomposition of Dynamic Networks in Neuroscience). - Gaëtan Frusque (2020)

Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection. - Gaëtan Frusque; Gabriel Michau; Olga Fink (CoRR, 2021)

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning. - Ismail Nejjar; Jean Meunier-Pion; Gaëtan Frusque; Olga Fink (DCASE, 2022)

Learnable Wavelet Packet Transform for Data-Adapted Spectrograms. - Gaëtan Frusque; Olga Fink (ICASSP, 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 (SMC, 2022)

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)

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)

A Comparison of Residual-based Methods on Fault Detection. - Chi-Ching Hsu; Gaëtan Frusque; Olga Fink (CoRR, 2023)

Semi-Supervised Health Index Monitoring with Feature Generation and Fusion. - Gaëtan Frusque; Ismail Nejjar; Majid Nabavi; Olga Fink (CoRR, 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., 2023)

Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation. - Keivan Faghih Niresi; Lucas Kuhn; Gaëtan Frusque; Olga Fink (EUSIPCO, 2024)

Robust time series denoising with learnable wavelet packet transform. - Gaëtan Frusque; Olga Fink (Adv. Eng. Informatics, 2024)

Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression. - Ismail Nejjar; Gaëtan Frusque; Florent Forest; Olga Fink (CoRR, 2024)

Continuous Health State Monitoring of High-Voltage Circuit Breakers. - Chi-Ching Hsu; Gaëtan Frusque; Olga Fink; Christian M. Franck (IEEE Access, 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)

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)

NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation. - Hao Dong 011; Gaëtan Frusque; Yue Zhao 016; Eleni N. Chatzi; Olga Fink (IEEE Trans. Neural Networks Learn. Syst., 2025)