S. Byttner

发表

Center for Applied Intelligent Systems Research

Thorsteinn S. Rögnvaldsson, J. Bigun, A. Verikas, 2016 .

Estimation of combustion variability using in-cylinder ionization measurements

Thorsteinn S. Rögnvaldsson, Nicholas Wickström, S. Byttner, 2001 .

Using Multiple Cylinder Ion Measurements for Improved Estimation of Combustion Variability

Ulf Holmberg, Stefan Byttner, Nicholas Wickström, 2005 .

An ion current algorithm for fast determination of high combustion variability

U. Holmberg, Nicholas Wickström, S. Byttner, 2004 .

Center for Applied Intelligent Systems Research (Position paper)

Antanas Verikas, Fernando Alonso-Fernandez, Josef Bigün, 2016, SAIS.

On monitoring heat-pumps with a group-based conformal anomaly detection approach

S. Byttner, Mohamed-Rafik Bouguelia, Shiraz Farouq, 2018 .

Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model

A. Chincarini, G. Frisoni, D. Aarsland, 2022, BMC Medical Informatics and Decision Making.

A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET

A. Chincarini, G. Frisoni, D. Aarsland, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data

Slawomir Nowaczyk, Stefan Byttner, Thorsteinn S. Rögnvaldsson, 2015, Eng. Appl. Artif. Intell..

Self-monitoring for maintenance of vehicle fleets

Thorsteinn S. Rögnvaldsson, Sławomir Nowaczyk, S. Byttner, 2018, Data Mining and Knowledge Discovery.

Estimating p-Values for Deviation Detection

Stefan Byttner, Thorsteinn S. Rögnvaldsson, Eric Järpe, 2014, 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems.

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting

Sławomir Nowaczyk, S. Byttner, P. Tiwari, 2023, ArXiv.

Closed-loop control of EGR using ion currents

U. Holmberg, S. Byttner, 2008 .

Nonlinear Relation Mining for Maintenance Prediction

Stefan Byttner, Magnus Svensson, Ahmed Mosallam, 2011, 2011 Aerospace Conference.

Data-Driven Methods for Classification of Driving Styles in Buses

Stefan Byttner, Magnus Svensson, Nadezda Karginova, 2012 .

Towards understanding district heating substation behavior using robust first difference regression

Shiraz Farouq, Stefan Byttner, Henrik Gadd, 2018, Energy Procedia.

Consensus self-organized models for fault detection (COSMO)

Stefan Byttner, Magnus Svensson, Thorsteinn S. Rögnvaldsson, 2011, Eng. Appl. Artif. Intell..

Indirect Tire Monitoring System - Machine Learning Approach

Stefan Byttner, Yuantao Fan, Oskar Hagvall Svensson, 2017 .

Ideas for Fault Detection Using Relation Discovery

Slawomir Nowaczyk, Stefan Byttner, Rune Prytz, 2012, SAIS.

Towards relation discovery for diagnostics

Stefan Byttner, Rune Prytz, Sławomir Nowaczyk, 2011, KDD4Service '11.

Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data

Slawomir Nowaczyk, Stefan Byttner, Thorsteinn S. Rögnvaldsson, 2013, SCAI.

Analysis of Truck Compressor Failures Based on Logged Vehicle Data

Slawomir Nowaczyk, Stefan Byttner, Thorsteinn Rögnvaldsson, 2013, ICDM 2013.

Self-organizing maps for automatic fault detection in a vehicle cooling system

M. Svensson, S. Byttner, T. Rognvaldsson, 2008, 2008 4th International IEEE Conference Intelligent Systems.

Incremental classification of process data for anomaly detection based on similarity analysis

Gancho Vachkov, Stefan Byttner, Magnus Svensson, 2011, 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS).

Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation

S. Byttner, Guojun Liang, Prayag Tiwari, 2024, 2405.10995.

A field test with self-organized modeling for knowledge discovery in a fleet of city buses

Slawomir Nowaczyk, Stefan Byttner, Rune Prytz, 2013, 2013 IEEE International Conference on Mechatronics and Automation.