Gabriel Michau

27 papers B 1Misc 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning Informative Health Indicators Through Unsupervised Contrastive Learning. IEEE Trans. Reliab. Katharina Rombach, Gabriel Michau, Wilfried Bürzle, Stefan Koller, Olga Fink
2023	J	`jnl`	Controlled generation of unseen faults for Reliab. Eng. Syst. Saf. Katharina Rombach, Gabriel Michau, Olga Fink
2022	J	`jnl`	Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications. CoRR Katharina Rombach, Gabriel Michau, Kajan Ratnasabapathy, Lucian-Stefan Ancu, Wilfried Bürzle, Stefan Koller, Olga Fink
2022	J	`jnl`	Controlled Generation of Unseen Faults for Partial and OpenSet&Partial Domain Adaptation. CoRR Katharina Rombach, Gabriel Michau, Olga Fink
2021	J	`jnl`	Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection. CoRR Gaëtan Frusque, Gabriel Michau, Olga Fink
2021	J	`jnl`	Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types. Sensors Katharina Rombach, Gabriel Michau, Olga Fink
2021	J	`jnl`	Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines. CoRR Gabriel Rodriguez Garcia, Gabriel Michau, Herbert H. Einstein, Olga Fink
2021	J	`jnl`	Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series. CoRR Gabriel Michau, Olga Fink
2021	J	`jnl`	Interpretable Detection of Partial Discharge in Power Lines with Deep Learning. Sensors Gabriel Michau, Chi-Ching Hsu, Olga Fink
2021	J	`jnl`	Missing-Class-Robust Domain Adaptation by Unilateral Alignment. IEEE Trans. Ind. Electron. Qin Wang, Gabriel Michau, Olga Fink
2021	J	`jnl`	Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer. Knowl. Based Syst. Gabriel Michau, Olga Fink
2020	J	`jnl`	Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks. CoRR Oliver Ammann, Gabriel Michau, Olga Fink
2020	J	`jnl`	Improving Generalization of Deep Fault Detection Models in the Presence of Mislabeled Data. CoRR Katharina Rombach, Gabriel Michau, Olga Fink
2020	B	`conf`	Improving generalization of deep fault detection models in the presence of mislabeled data. SMC Katharina Rombach, Gabriel Michau, Olga Fink
2020	J	`jnl`	Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines. CoRR Chi-Ching Hsu, Gabriel Michau, Olga Fink
2020	J	`jnl`	Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis. CoRR Qin Wang, Gabriel Michau, Olga Fink
2020	J	`jnl`	Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms. CoRR Gabriel Rodriguez Garcia, Gabriel Michau, Mélanie Ducoffe, Jayant Sen Gupta, Olga Fink
2020	J	`jnl`	Transferring Complementary Operating Conditions for Anomaly Detection. CoRR Gabriel Michau, Olga Fink
2019	J	`jnl`	Domain Adaptive Transfer Learning for Fault Diagnosis. CoRR Qin Wang, Gabriel Michau, Olga Fink
2019	J	`jnl`	Fully Unsupervised Feature Alignment for Critical System Health Monitoring with Varied Operating Conditions. CoRR Gabriel Michau, Olga Fink
2019	—	`conf`	Unsupervised Fault Detection in Varying Operating Conditions. ICPHM Gabriel Michau, Olga Fink
2019	J	`jnl`	Unsupervised Fault Detection in Varying Operating Conditions. CoRR Gabriel Michau, Olga Fink
2018	J	`jnl`	Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals. CoRR Gabriel Michau, Yang Hu, Thomas Palmé, Olga Fink
2017	J	`jnl`	A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. IEEE Trans. Signal Inf. Process. over Networks Gabriel Michau, Nelly Pustelnik, Pierre Borgnat, Patrice Abry, Alfredo Nantes, Ashish Bhaskar, Edward Chung
2017	J	`jnl`	Bluetooth Data in an Urban Context: Retrieving Vehicle Trajectories. IEEE Trans. Intell. Transp. Syst. Gabriel Michau, Alfredo Nantes, Ashish Bhaskar, Edward Chung, Patrice Abry, Pierre Borgnat
2016	J	`jnl`	A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. CoRR Gabriel Michau, Nelly Pustelnik, Pierre Borgnat, Patrice Abry, Alfredo Nantes, Ashish Bhaskar, Edward Chung
2015	Misc	`conf`	Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts. ICASSP Gabriel Michau, Pierre Borgnat, Nelly Pustelnik, Patrice Abry, Alfredo Nantes, Edward Chung