Olga Fink

CoRR, July, 2025

NNG-Mix: Improving Semi-Supervised Anomaly Detection With Pseudo-Anomaly Generation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2025

To Trust Or Not To Trust Your Vision-Language Model's Prediction.

[BibT_eX]

[DOI]

CoRR, May, 2025

Extremely Simple Multimodal Outlier Synthesis for Out-of-Distribution Detection and Segmentation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems.

[BibT_eX]

[DOI]

CoRR, April, 2025

Thermoxels: a voxel-based method to generate simulation-ready 3D thermal models.

[BibT_eX]

[DOI]

CoRR, April, 2025

Learning Informative Health Indicators Through Unsupervised Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., March, 2025

Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models.

[BibT_eX]

[DOI]

CoRR, January, 2025

NOMTO: Neural Operator-based symbolic Model approximaTion and discOvery.

[BibT_eX]

[DOI]

Sergei Garmaev

Siddhartha Mishra

CoRR, January, 2025

Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems.

[BibT_eX]

[DOI]

Vinay Sharma

CoRR, January, 2025

Recall and Refine: A Simple but Effective Source-free Open- set Domain Adaptation Framework.

[BibT_eX]

[DOI]

Hao Dong

Trans. Mach. Learn. Res., 2025

Prescribing optimal health-aware operation for urban air mobility with deep reinforcement learning.

[BibT_eX]

[DOI]

Mina Montazeri

Chetan S. Kulkarni

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.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2025

Explainable AI guided unsupervised fault diagnostics for high-voltage circuit breakers.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2025

Corrigendum to "Deep Koopman Operator-based degradation modelling" [Reliability Engineering and System Safety volume 251 (2024) 110351].

[BibT_eX]

[DOI]

Sergei Garmaev

Reliab. Eng. Syst. Saf., 2025

Interpretable prognostics with concept bottleneck models.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

Automated processing of eXplainable Artificial Intelligence outputs in deep learning models for fault diagnostics of large infrastructures.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

ThermoNeRF: A multimodal Neural Radiance Field for joint RGB-thermal novel view synthesis of building facades.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2025

Continuous Health State Monitoring of High-Voltage Circuit Breakers.

[BibT_eX]

[DOI]

IEEE Access, 2025

DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization.

[BibT_eX]

[DOI]

Hao Dong

Eleni N. Chatzi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unseen Visual Anomaly Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Domain Adaptive Unfolded Graph Neural Networks.

[BibT_eX]

[DOI]

Zepeng Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Physics-Enhanced Graph Neural Networks for Soft Sensing in Industrial Internet of Things.

[BibT_eX]

[DOI]

IEEE Internet Things J., November, 2024

DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems.

[BibT_eX]

[DOI]

Mengjie Zhao

IEEE Internet Things J., July, 2024

Incentive Mechanism in the Sponsored Content Market With Network Effects.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., February, 2024

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., February, 2024

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., January, 2024

IM-Context: In-Context Learning for Imbalanced Regression Tasks.

[BibT_eX]

[DOI]

Faez Ahmed

Trans. Mach. Learn. Res., 2024

Deep Koopman Operator-based degradation modelling.

[BibT_eX]

[DOI]

Sergei Garmaev

Reliab. Eng. Syst. Saf., 2024

Physics meets Topology: Physics-informed topological neural networks for learning rigid body dynamics.

[BibT_eX]

[DOI]

Amaury Wei

CoRR, 2024

Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Air Quality Sensor Fusion.

[BibT_eX]

[DOI]

Keivan Faghih Niresi

Leandro Von Krannichfeldt

CoRR, 2024

Combining Physics-based and Data-driven Modeling for Building Energy Systems.

[BibT_eX]

[DOI]

Kristina Orehounig

CoRR, 2024

Exploiting Semantic Scene Reconstruction for Estimating Building Envelope Characteristics.

[BibT_eX]

[DOI]

CoRR, 2024

Integrating the Expected Future: Schedule Based Energy Forecasting.

[BibT_eX]

[DOI]

Raffael Theiler

CoRR, 2024

Learning Physics-Consistent Material Behavior Without Prior Knowledge.

[BibT_eX]

[DOI]

CoRR, 2024

Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

Cut-and-Paste with Precision: a Content and Perspective-aware Data Augmentation for Road Damage Detection.

[BibT_eX]

[DOI]

Punnawat Siripathitti

CoRR, 2024

Continuous Test-time Domain Adaptation for Efficient Fault Detection under Evolving Operating Conditions.

[BibT_eX]

[DOI]

Han Sun

Kevin Ammann

Stylianos Giannoulakis

CoRR, 2024

CUT: A Controllable, Universal, and Training-Free Visual Anomaly Generation Framework.

[BibT_eX]

[DOI]

Han Sun

Yunkang Cao

CoRR, 2024

Graph Neural Networks for Electric and Hydraulic Data Fusion to Enhance Short-term Forecasting of Pumped-storage Hydroelectricity.

[BibT_eX]

[DOI]

Raffael Theiler

CoRR, 2024

Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

ThermoNeRF: Multimodal Neural Radiance Fields for Thermal Novel View Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

Sym-Q: Adaptive Symbolic Regression via Sequential Decision-Making.

[BibT_eX]

[DOI]

CoRR, 2024

Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression.

[BibT_eX]

[DOI]

CoRR, 2024

Robust time series denoising with learnable wavelet packet transform.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2024

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Informed Graph Learning By Domain Knowledge Injection and Smooth Graph Signal Representation.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Signal Processing Conference, 2024

Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-training Strategies and Performance Insights.

[BibT_eX]

[DOI]

Yan Hao

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Multimodal Open-Set Domain Generalization and Adaptation Through Self-supervision.

[BibT_eX]

[DOI]

Hao Dong

Eleni N. Chatzi

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., November, 2023

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets.

[BibT_eX]

[DOI]

Mina Montazeri

Expert Syst. Appl., September, 2023

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units.

[BibT_eX]

[DOI]

Mina Montazeri

Reliab. Eng. Syst. Saf., April, 2023

Controlled generation of unseen faults for <i>Partial</i> and <i>Open-Partial</i> domain adaptation.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2023

Multi-agent actor-critic with time dynamical opponent model.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Semi-Supervised Health Index Monitoring with Feature Generation and Fusion.

[BibT_eX]

[DOI]

CoRR, 2023

Calibrated Adaptive Teacher for Domain Adaptive Intelligent Fault Diagnosis.

[BibT_eX]

[DOI]

CoRR, 2023

From Classification to Segmentation with Explainable AI: A Study on Crack Detection and Growth Monitoring.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Neural Networks for Dynamic Modeling of Roller Bearing.

[BibT_eX]

[DOI]

CoRR, 2023

A Comparison of Residual-based Methods on Fault Detection.

[BibT_eX]

[DOI]

Chi-Ching Hsu

CoRR, 2023

Dynamic Graph Attention for Anomaly Detection in Heterogeneous Sensor Networks.

[BibT_eX]

[DOI]

Mengjie Zhao

Moritz Alexander Kirschmann

CoRR, 2023

Smart filter aided domain adversarial neural network: An unsupervised domain adaptation method for fault diagnosis in noisy industrial scenarios.

[BibT_eX]

[DOI]

CoRR, 2023

Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach.

[BibT_eX]

[DOI]

CoRR, 2023

Gemtelligence: Accelerating Gemstone classification with Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Domain knowledge-informed Synthetic fault sample generation with Health Data Map for cross-domain Planetary Gearbox Fault Diagnosis.

[BibT_eX]

[DOI]

Jong Moon Ha

CoRR, 2023

Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial.

[BibT_eX]

[DOI]

CoRR, 2023

Collective Relational Inference for learning physics-consistent heterogeneous particle interactions.

[BibT_eX]

[DOI]

Zhichao Han

David S. Kammer

CoRR, 2023

Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis.

[BibT_eX]

[DOI]

CoRR, 2023

Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions.

[BibT_eX]

[DOI]

CoRR, 2023

Incentive Mechanism in the Sponsored Content Market with Network Effect.

[BibT_eX]

[DOI]

CoRR, 2023

SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatial-Temporal Graph Attention Fuser for Calibration in IoT Air Pollution Monitoring Systems.

[BibT_eX]

[DOI]

Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Integrating Expert Knowledge With Domain Adaptation for Unsupervised Fault Diagnosis.

[BibT_eX]

[DOI]

Cees Taal

IEEE Trans. Instrum. Meas., 2022

A prescriptive Dirichlet power allocation policy with deep reinforcement learning.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2022

Maintenance scheduling of manufacturing systems based on optimal price of the network.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2022

Fusing physics-based and deep learning models for prognostics.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2022

A Comprehensive Review of Digital Twin - Part 1: Modeling and Twinning Enabling Technologies.

[BibT_eX]

[DOI]

CoRR, 2022

Contrastive Feature Learning for Fault Detection and Diagnostics in Railway Applications.

[BibT_eX]

[DOI]

CoRR, 2022

A Comprehensive Review of Digital Twin - Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets.

[BibT_eX]

[DOI]

CoRR, 2022

Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Controlled Generation of Unseen Faults for Partial and OpenSet&Partial Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Physics-Consistent Particle Interactions.

[BibT_eX]

[DOI]

Zhichao Han

David S. Kammer

CoRR, 2022

Artificial intelligence across company borders.

[BibT_eX]

[DOI]

Torbjørn H. Netland

Stefan Feuerriegel

Commun. ACM, 2022

Vacuum Circuit Breaker Closing Time Key Moments Detection via Vibration Monitoring: A Run-to-Failure Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Learnable Wavelet Packet Transform for Data-Adapted Spectrograms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

DG-Mix: Domain Generalization for Anomalous Sound Detection Based on Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

Continual Test-Time Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Missing-Class-Robust Domain Adaptation by Unilateral Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2021

Contrastive Learning for Fault Detection and Diagnostics in the Context of Changing Operating Conditions and Novel Fault Types.

[BibT_eX]

[DOI]

Sensors, 2021

Interpretable Detection of Partial Discharge in Power Lines with Deep Learning.

[BibT_eX]

[DOI]

Chi-Ching Hsu

Sensors, 2021

Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2021

Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Implicit supervision for fault detection and segmentation of emerging fault types with Deep Variational Autoencoders.

[BibT_eX]

[DOI]

Manuel Arias Chao

Bryan T. Adey

Neurocomputing, 2021

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics.

[BibT_eX]

[DOI]

Data, 2021

Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units.

[BibT_eX]

[DOI]

CoRR, 2021

Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series.

[BibT_eX]

[DOI]

CoRR, 2021

Uncertainty-aware Remaining Useful Life predictor.

[BibT_eX]

[DOI]

CoRR, 2021

Decision Support System for an Intelligent Operator of Utility Tunnel Boring Machines.

[BibT_eX]

[DOI]

Gabriel Rodriguez Garcia

Herbert H. Einstein

CoRR, 2021

Hierarchical multi-agent predictive maintenance scheduling for trains using price-based approach.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2021

Uncertainty-Aware Prognosis via Deep Gaussian Process.

[BibT_eX]

[DOI]

IEEE Access, 2021

Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Potential, challenges and future directions for deep learning in prognostics and health management applications.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Battery Model Calibration with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Distributed joint dynamic maintenance and production scheduling in manufacturing systems: Framework based on model predictive control and Benders decomposition.

[BibT_eX]

[DOI]

CoRR, 2020

Transferring Complementary Operating Conditions for Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Interpretable Partial Discharge Detection with Temporal Convolution and Pulse Activation Maps: An application to Power Lines.

[BibT_eX]

[DOI]

Chi-Ching Hsu

CoRR, 2020

Real-Time Model Calibration with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks.

[BibT_eX]

[DOI]

Oliver Ammann

CoRR, 2020

Time Series to Images: Monitoring the Condition of Industrial Assets with Deep Learning Image Processing Algorithms.

[BibT_eX]

[DOI]

Gabriel Rodriguez Garcia

CoRR, 2020

Missing-Class-Robust Domain Adaptation by Unilateral Alignment for Fault Diagnosis.

[BibT_eX]

[DOI]

CoRR, 2020

Improving generalization of deep fault detection models in the presence of mislabeled data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Knowledge-Induced Learning with Adaptive Sampling Variational Autoencoders for Open Set Fault Diagnostics.

[BibT_eX]

[DOI]

Manuel Arias Chao

Bryan T. Adey

CoRR, 2019

Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models.

[BibT_eX]

[DOI]

CoRR, 2019

Fully Unsupervised Feature Alignment for Critical System Health Monitoring with Varied Operating Conditions.

[BibT_eX]

[DOI]

CoRR, 2019

Domain Adaptive Transfer Learning for Fault Diagnosis.

[BibT_eX]

[DOI]

CoRR, 2019

Unsupervised Fault Detection in Varying Operating Conditions.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

2018

Combined Fault Location and Classification for Power Transmission Lines Fault Diagnosis With Integrated Feature Extraction.

[BibT_eX]

[DOI]

Yann Qi Chen

Giovanni Sansavini

IEEE Trans. Ind. Electron., 2018

Feature Learning for Fault Detection in High-Dimensional Condition-Monitoring Signals.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines.

[BibT_eX]

[DOI]

Yang Hu

Thomas Palmé

Eng. Appl. Artif. Intell., 2017

2016

Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction.

[BibT_eX]

[DOI]

Ronay Ak

IEEE Trans. Neural Networks Learn. Syst., 2016

Online sequential extreme learning machines for fault detection.

[BibT_eX]

[DOI]

Yang Hu

Thomas Palmé

Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

2015

A Classification Framework for Predicting Components' Remaining Useful Life Based on Discrete-Event Diagnostic Data.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2015

Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2015

2014

Predicting component reliability and level of degradation with complex-valued neural networks.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2014

Quantifying the reliability of fault classifiers.

[BibT_eX]

[DOI]

Inf. Sci., 2014

2013

Predicting time series of railway speed restrictions with time-dependent machine learning techniques.

[BibT_eX]

[DOI]