Search Results - "LEBACHER, Michael" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Regression‐based network‐flow and inner‐matrix reconstruction

Regression‐based network‐flow and inner‐matrix reconstruction

by Lebacher, Michael, Kauermann, Göran
Published in Scandinavian journal of statistics (23.07.2024)

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Journal Article

Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning

Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning

by Decker, Thomas, Lebacher, Michael, Tresp, Volker
Published in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (04.06.2023)

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Conference Proceeding

Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time

Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time

by Fritz, Cornelius, Lebacher, Michael, Kauermann, Göran
Published in Statistica Neerlandica (01.08.2020)

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Journal Article

Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts

Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts

by Decker, Thomas, Lebacher, Michael, Tresp, Volker
Published in 2023 IEEE 21st International Conference on Industrial Informatics (INDIN) (18.07.2023)

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Conference Proceeding

Explaining destinations and volumes of international arms transfers: A novel network Heckman selection model

Explaining destinations and volumes of international arms transfers: A novel network Heckman selection model

by Pamp, Oliver, Lebacher, Michael, Thurner, Paul W., Ziegler, Eva
Published in European Journal of Political Economy (01.09.2021)

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Journal Article

A dynamic separable network model with actor heterogeneity: An application to global weapons transfers

A dynamic separable network model with actor heterogeneity: An application to global weapons transfers

by Lebacher, Michael, Thurner, Paul W, Kauermann, Göran
Published in Journal of the Royal Statistical Society. Series A, Statistics in society (01.01.2021)

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Journal Article

Censored regression for modelling small arms trade volumes and its ‘Forensic’ use for exploring unreported trades

Censored regression for modelling small arms trade volumes and its ‘Forensic’ use for exploring unreported trades

by Lebacher, Michael, Thurner, Paul W., Kauermann, Göran
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.08.2021)

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Journal Article

Exploring dependence structures in the international arms trade network: A network autocorrelation approach

Exploring dependence structures in the international arms trade network: A network autocorrelation approach

by Lebacher, Michael, Thurner, Paul W, Kauermann, Göran
Published in Statistical modelling (01.04.2020)

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Journal Article

COMPUTER-IMPLEMENTED METHOD FOR PROVIDING EXPLANATIONS CONCERNING A GLOBAL BEHAVIOUR OF A MACHINE LEARNING MODEL

COMPUTER-IMPLEMENTED METHOD FOR PROVIDING EXPLANATIONS CONCERNING A GLOBAL BEHAVIOUR OF A MACHINE LEARNING MODEL

by LEBACHER, Michael
Year of Publication 17.04.2024

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Patent

DETECTING ANOMALIES IN SENSOR OUTPUT

DETECTING ANOMALIES IN SENSOR OUTPUT

by LEBACHER, Michael
Year of Publication 29.02.2024

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Patent

DETECTING ANOMALIES IN SENSOR OUTPUT

DETECTING ANOMALIES IN SENSOR OUTPUT

by Lebacher, Michael
Year of Publication 28.02.2024

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Patent

COMPUTER-IMPLEMENTED METHOD FOR PROVIDING EXPLANATIONS CONCERNING A GLOBAL BEHAVIOUR OF A MACHINE LEARNING MODEL

COMPUTER-IMPLEMENTED METHOD FOR PROVIDING EXPLANATIONS CONCERNING A GLOBAL BEHAVIOUR OF A MACHINE LEARNING MODEL

by LEBACHER, Michael
Year of Publication 02.02.2023

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Patent

Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning

Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning

by Decker, Thomas, Lebacher, Michael, Tresp, Volker
Published in arXiv.org (19.10.2023)

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Paper Journal Article

Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts

Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts

by Decker, Thomas, Lebacher, Michael, Tresp, Volker
Published in arXiv.org (17.10.2023)

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Paper Journal Article

Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models

Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Models

by Decker, Thomas, Bhattarai, Ananta R, Lebacher, Michael
Published in arXiv.org (16.10.2023)

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Paper Journal Article

Generative AI: Reshaping the Industrial Value Chain with the Industrial Copilot

Generative AI: Reshaping the Industrial Value Chain with the Industrial Copilot

by Lebacher, Michael "Michi"
Published in NASA Tech Briefs (01.08.2024)

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Trade Publication Article

LOCAL AND GLOBAL INTERPRETABLE EXPLANATION MACHINE LEARNING MODEL FOR EXPLAINING AN OUTPUT OF AN ANALYSIS MODEL ANALYZING A MACHINE

LOCAL AND GLOBAL INTERPRETABLE EXPLANATION MACHINE LEARNING MODEL FOR EXPLAINING AN OUTPUT OF AN ANALYSIS MODEL ANALYZING A MACHINE

by LEBACHER, Michael, FRITZ, Cornelius
Year of Publication 13.06.2024

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Patent

LOCAL AND GLOBAL INTERPRETABLE EXPLANATION MACHINE LEARNING MODEL FOR EXPLAINING AN OUTPUT OF AN ANALYSIS MODEL ANALYZING A MACHINE

LOCAL AND GLOBAL INTERPRETABLE EXPLANATION MACHINE LEARNING MODEL FOR EXPLAINING AN OUTPUT OF AN ANALYSIS MODEL ANALYZING A MACHINE

by LEBACHER, Michael, FRITZ, Cornelius
Year of Publication 12.06.2024

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Patent

AUTOMATICALLY DETERMINING A ROOT-CAUSE INDICATOR OF A TECHNICAL SYSTEM CONCERNING AN OUTPUT OF A MACHINE LEARNING MODEL

AUTOMATICALLY DETERMINING A ROOT-CAUSE INDICATOR OF A TECHNICAL SYSTEM CONCERNING AN OUTPUT OF A MACHINE LEARNING MODEL

by LEBACHER, Michael, BRONNER, Johanna
Year of Publication 24.04.2024

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Patent

MACHINE LEARNING MODEL FOR AUTOMATICALLY DETECTING FAULTS USING OPTICAL INSPECTION

MACHINE LEARNING MODEL FOR AUTOMATICALLY DETECTING FAULTS USING OPTICAL INSPECTION

by Decker, Thomas, Lebacher, Michael
Year of Publication 18.04.2024

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Patent