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Gabriel Michau
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2020 – today
- 2023
- [j7]Katharina Rombach, Gabriel Michau, Olga Fink:
Controlled generation of unseen faults for Partial and Open-Partial domain adaptation. Reliab. Eng. Syst. Saf. 230: 108857 (2023) - 2022
- [i16]Katharina Rombach, Gabriel Michau, Olga Fink:
Controlled Generation of Unseen Faults for Partial and OpenSet&Partial Domain Adaptation. CoRR abs/2204.14068 (2022) - [i15]Katharina Rombach, Gabriel Michau, Kajan Ratnasabapathy, Lucian-Stefan Ancu, Wilfried Bürzle, Stefan Koller, Olga Fink:
Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications. CoRR abs/2208.13288 (2022) - 2021
- [j6]Gabriel Michau, Olga Fink:
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer. Knowl. Based Syst. 216: 106816 (2021) - [j5]Gabriel Michau, Chi-Ching Hsu, Olga Fink:
Interpretable Detection of Partial Discharge in Power Lines with Deep Learning. Sensors 21(6): 2154 (2021) - [j4]Katharina Rombach, Gabriel Michau, Olga Fink:
Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types. Sensors 21(10): 3550 (2021) - [j3]Qin Wang, Gabriel Michau, Olga Fink:
Missing-Class-Robust Domain Adaptation by Unilateral Alignment. IEEE Trans. Ind. Electron. 68(1): 663-671 (2021) - [i14]Gabriel Rodriguez Garcia, Gabriel Michau, Herbert H. Einstein, Olga Fink:
Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines. CoRR abs/2101.02463 (2021) - [i13]Gabriel Michau, Olga Fink:
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series. CoRR abs/2105.00899 (2021) - [i12]Gaëtan Frusque, Gabriel Michau, Olga Fink:
Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection. CoRR abs/2107.09519 (2021) - 2020
- [c3]Katharina Rombach, Gabriel Michau, Olga Fink:
Improving generalization of deep fault detection models in the presence of mislabeled data. SMC 2020: 3103-3110 - [i11]Qin Wang, Gabriel Michau, Olga Fink:
Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis. CoRR abs/2001.02015 (2020) - [i10]Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe, Jayant Sen Gupta, Olga Fink:
Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms. CoRR abs/2005.07031 (2020) - [i9]Oliver Ammann, Gabriel Michau, Olga Fink:
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks. CoRR abs/2005.07078 (2020) - [i8]Chi-Ching Hsu, Gabriel Michau, Olga Fink:
Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines. CoRR abs/2008.05838 (2020) - [i7]Gabriel Michau, Olga Fink:
Transferring Complementary Operating Conditions for Anomaly Detection. CoRR abs/2008.07815 (2020) - [i6]Katharina Rombach, Gabriel Michau, Olga Fink:
Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data. CoRR abs/2009.14606 (2020)
2010 – 2019
- 2019
- [c2]Gabriel Michau, Olga Fink:
Unsupervised Fault Detection in Varying Operating Conditions. ICPHM 2019: 1-10 - [i5]Qin Wang, Gabriel Michau, Olga Fink:
Domain Adaptive Transfer Learning for Fault Diagnosis. CoRR abs/1905.06004 (2019) - [i4]Gabriel Michau, Olga Fink:
Unsupervised Fault Detection in Varying Operating Conditions. CoRR abs/1907.06481 (2019) - [i3]Gabriel Michau, Olga Fink:
Fully Unsupervised Feature Alignment for Critical System Health Monitoring with Varied Operating Conditions. CoRR abs/1907.09204 (2019) - 2018
- [i2]Gabriel Michau, Yang Hu, Thomas Palmé, Olga Fink:
Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals. CoRR abs/1810.05550 (2018) - 2017
- [j2]Gabriel Michau, Alfredo Nantes, Ashish Bhaskar, Edward Chung, Patrice Abry, Pierre Borgnat:
Bluetooth Data in an Urban Context: Retrieving Vehicle Trajectories. IEEE Trans. Intell. Transp. Syst. 18(9): 2377-2386 (2017) - [j1]Gabriel Michau, Nelly Pustelnik, Pierre Borgnat, Patrice Abry, Alfredo Nantes, Ashish Bhaskar, Edward Chung:
A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. IEEE Trans. Signal Inf. Process. over Networks 3(1): 104-113 (2017) - 2016
- [i1]Gabriel Michau, Nelly Pustelnik, Pierre Borgnat, Patrice Abry, Alfredo Nantes, Ashish Bhaskar, Edward Chung:
A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. CoRR abs/1604.00391 (2016) - 2015
- [c1]Gabriel Michau, Pierre Borgnat, Nelly Pustelnik, Patrice Abry, Alfredo Nantes, Edward Chung:
Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts. ICASSP 2015: 5480-5484
Coauthor Index
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