Stefan Byttner
Orcid: 0000-0002-0293-040X
According to our database1,
Stefan Byttner
authored at least 26 papers
between 2008 and 2024.
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Bibliography
2024
Graph neural networks for clinical risk prediction based on electronic health records: A survey.
J. Biomed. Informatics, 2024
Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph.
CoRR, 2024
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation.
CoRR, 2024
CoRR, 2024
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting.
CoRR, 2023
2022
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model.
BMC Medical Informatics Decis. Mak., November, 2022
A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating.
Expert Syst. Appl., 2022
Promoting Life-Long Learning Through Flexible Educational Format for Professionals Within AI, Design and Innovation Management.
Proceedings of the Design, Learning, and Innovation - 7th EAI International Conference, 2022
2021
Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets.
Neurocomputing, 2021
2020
Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach.
Eng. Appl. Artif. Intell., 2020
2018
2016
Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016
Proceedings of the Human Interface and the Management of Information: Applications and Services, 2016
2015
Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data.
Eng. Appl. Artif. Intell., 2015
2014
Detection of Deviation in Performance of Battery Cells by Data Compression and Similarity Analysis.
Int. J. Intell. Syst., 2014
Proceedings of the Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2014
2013
Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data.
Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013
2012
Proceedings of the 27th Annual Workshop of the Swedish Artificial Intelligence Society, 2012
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012
2011
Eng. Appl. Artif. Intell., 2011
Incremental classification of process data for anomaly detection based on similarity analysis.
Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011
2010
Finding the Odd-One-Out in Fleets of Mechatronic Systems using Embedded Intelligent Agents.
Proceedings of the Embedded Reasoning, 2010
2009
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009
2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008