Stefan Byttner

Orcid: 0000-0002-0293-040X

According to our database1, Stefan Byttner authored at least 20 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

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
Self-monitoring for maintenance of vehicle fleets.
Data Min. Knowl. Discov., 2018

2016
Center for Applied Intelligent Systems Research (Position paper).
Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016

Supporting Analytical Reasoning - A Study from the Automotive Industry.
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

Estimating p-Values for Deviation Detection.
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
Ideas for Fault Detection Using Relation Discovery.
Proceedings of the 27th Annual Workshop of the Swedish Artificial Intelligence Society, 2012

Battery aging detection based on sequential clustering and similarity analysis.
Proceedings of the 6th IEEE International Conference on Intelligent Systems, 2012

2011
Consensus self-organized models for fault detection (COSMO).
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
Networked Vehicles for Automated Fault Detection.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008
A self-organized approach for unsupervised fault detection in multiple systems.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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