Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts. - Gabriel Michau; Pierre Borgnat; Nelly Pustelnik; Patrice Abry; Alfredo Nantes; Edward Chung 001 (ICASSP, 2015)

Bluetooth Data in an Urban Context: Retrieving Vehicle Trajectories. - Gabriel Michau; Alfredo Nantes; Ashish Bhaskar; Edward Chung 001; Patrice Abry; Pierre Borgnat (IEEE Trans. Intell. Transp. Syst., 2017)

A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation. - Gabriel Michau; Nelly Pustelnik; Pierre Borgnat; Patrice Abry; Alfredo Nantes; Ashish Bhaskar; Edward Chung 001 (IEEE Trans. Signal Inf. Process. over Networks, 2017)

Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals. - Gabriel Michau; Yang Hu; Thomas Palmé; Olga Fink (CoRR, 2018)

Unsupervised Fault Detection in Varying Operating Conditions. - Gabriel Michau; Olga Fink (ICPHM, 2019)

Domain Adaptive Transfer Learning for Fault Diagnosis. - Qin Wang 013; Gabriel Michau; Olga Fink (CoRR, 2019)

Fully Unsupervised Feature Alignment for Critical System Health Monitoring with Varied Operating Conditions. - Gabriel Michau; Olga Fink (CoRR, 2019)

Improving generalization of deep fault detection models in the presence of mislabeled data. - Katharina Rombach; Gabriel Michau; Olga Fink (SMC, 2020)

Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis. - Qin Wang 013; Gabriel Michau; Olga Fink (CoRR, 2020)

Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms. - Gabriel Rodriguez Garcia; Gabriel Michau; Mélanie Ducoffe; Jayant Sen Gupta; Olga Fink (CoRR, 2020)

Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks. - Oliver Ammann; Gabriel Michau; Olga Fink (CoRR, 2020)

Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines. - Chi-Ching Hsu; Gabriel Michau; Olga Fink (CoRR, 2020)

Transferring Complementary Operating Conditions for Anomaly Detection. - Gabriel Michau; Olga Fink (CoRR, 2020)

Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines. - Gabriel Rodriguez Garcia; Gabriel Michau; Herbert H. Einstein; Olga Fink (CoRR, 2021)

Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series. - Gabriel Michau; Olga Fink (CoRR, 2021)

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

Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer. - Gabriel Michau; Olga Fink (Knowl. Based Syst., 2021)

Interpretable Detection of Partial Discharge in Power Lines with Deep Learning. - Gabriel Michau; Chi-Ching Hsu; Olga Fink (Sensors, 2021)

Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types. - Katharina Rombach; Gabriel Michau; Olga Fink (Sensors, 2021)

Missing-Class-Robust Domain Adaptation by Unilateral Alignment. - Qin Wang 013; Gabriel Michau; Olga Fink (IEEE Trans. Ind. Electron., 2021)

Controlled Generation of Unseen Faults for Partial and OpenSet&Partial Domain Adaptation. - Katharina Rombach; Gabriel Michau; Olga Fink (CoRR, 2022)

Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications. - Katharina Rombach; Gabriel Michau; Kajan Ratnasabapathy; Lucian-Stefan Ancu; Wilfried Bürzle; Stefan Koller; Olga Fink (CoRR, 2022)

Controlled generation of unseen faults for Partial and Open-Partial domain adaptation. - Katharina Rombach; Gabriel Michau; Olga Fink (Reliab. Eng. Syst. Saf., 2023)

Learning Informative Health Indicators Through Unsupervised Contrastive Learning. - Katharina Rombach; Gabriel Michau; Wilfried Bürzle; Stefan Koller; Olga Fink (IEEE Trans. Reliab., 2025)