A self-organized approach for unsupervised fault detection in multiple systems. - Thorsteinn S. Rögnvaldsson; Georg Panholzer; Stefan Byttner; Magnus Svensson (ICPR, 2008)

Networked Vehicles for Automated Fault Detection. - Stefan Byttner; Thorsteinn S. Rögnvaldsson; Magnus Svensson; George Bitar; Wesley Chominsky (ISCAS, 2009)

Finding the Odd-One-Out in Fleets of Mechatronic Systems using Embedded Intelligent Agents. - Stefan Byttner; Magnus Svensson; Thorsteinn S. Rögnvaldsson (AAAI Spring Symposium: Embedded Reasoning, 2010)

Incremental classification of process data for anomaly detection based on similarity analysis. - Stefan Byttner; Magnus Svensson; Gancho Vachkov (EAIS, 2011)

Consensus self-organized models for fault detection (COSMO). - Stefan Byttner; Thorsteinn S. Rögnvaldsson; Magnus Svensson (Eng. Appl. Artif. Intell., 2011)

Battery aging detection based on sequential clustering and similarity analysis. - Gancho Vachkov; Stefan Byttner; Magnus Svensson (IEEE Conf. of Intelligent Systems, 2012)

Ideas for Fault Detection Using Relation Discovery. - Slawomir Nowaczyk; Rune Prytz; Stefan Byttner (SAIS, 2012)

Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data. - Slawomir Nowaczyk; Rune Prytz; Thorsteinn S. Rögnvaldsson; Stefan Byttner (SCAI, 2013)

Estimating p-Values for Deviation Detection. - Thorsteinn S. Rögnvaldsson; Henrik Norrman; Stefan Byttner; Eric Järpe (SASO, 2014)

Detection of Deviation in Performance of Battery Cells by Data Compression and Similarity Analysis. - Gancho Vachkov; Stefan Byttner; Magnus Svensson (Int. J. Intell. Syst., 2014)

Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. - Rune Prytz; Slawomir Nowaczyk; Thorsteinn S. Rögnvaldsson; Stefan Byttner (Eng. Appl. Artif. Intell., 2015)

Supporting Analytical Reasoning - A Study from the Automotive Industry. - Tove Helldin; Maria Riveiro 001; Sepideh Pashami; Göran Falkman; Stefan Byttner; Slawomir Nowaczyk (HCI (5), 2016)

Center for Applied Intelligent Systems Research (Position paper). - Thorsteinn S. Rögnvaldsson; Antanas Verikas; Josef Bigün; Slawomir Nowaczyk; Anita Pinheiro Sant'Anna; Björn Åstrand; Jens Lundström; Stefan Byttner; Roland Thörner; Fernando Alonso-Fernandez; Martin Cooney; Rafael Valencia (SAIS, 2016)

Self-monitoring for maintenance of vehicle fleets. - Thorsteinn S. Rögnvaldsson; Slawomir Nowaczyk; Stefan Byttner; Rune Prytz; Magnus Svensson (Data Min. Knowl. Discov., 2018)

Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach. - Shiraz Farouq; Stefan Byttner; Mohamed-Rafik Bouguelia; Natasa Nord; Henrik Gadd (Eng. Appl. Artif. Intell., 2020)

Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets. - Shiraz Farouq; Stefan Byttner; Mohamed-Rafik Bouguelia; Henrik Gadd (Neurocomputing, 2021)

Promoting Life-Long Learning Through Flexible Educational Format for Professionals Within AI, Design and Innovation Management. - Jeanette Sjöberg; Stefan Byttner; Pontus Wärnestål; Jonathan Burgos; Magnus Holmén (DLI, 2022)

A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating. - Shiraz Farouq; Stefan Byttner; Mohamed-Rafik Bouguelia; Henrik Gadd (Expert Syst. Appl., 2022)

Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. - Amira Soliman 002; Jose Ramon Chang; Kobra Etminani; Stefan Byttner; Anette Davidsson; Begoña Martínez-Sanchis; Valle Camacho; Matteo Bauckneht; Roxana Stegeran; Marcus Ressner; Marc Agudelo-Cifuentes; Andrea Chincarini; et al. (BMC Medical Informatics Decis. Mak., 2022)

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner; Fernando Alonso-Fernandez (CoRR, 2023)

Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner (CIKM, 2024)

Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner (CoRR, 2024)

Expected Grad-CAM: Towards gradient faithfulness. - Vincenzo Buono; Peyman Sheikholharam Mashhadi; Mahmoud Rahat; Prayag Tiwari; Stefan Byttner (CoRR, 2024)

Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph. - Heloísa Oss Boll; Ali Amirahmadi; Amira Soliman 002; Stefan Byttner; Mariana Recamonde Mendoza (CoRR, 2024)

Graph neural networks for clinical risk prediction based on electronic health records: A survey. - Heloísa Oss Boll; Ali Amirahmadi; Mirfarid Musavian Ghazani; Wagner Ourique de Morais; Edison Pignaton de Freitas; Amira Soliman 002; Farzaneh Etminani; Stefan Byttner; Mariana Recamonde Mendoza (J. Biomed. Informatics, 2024)

Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. - Guojun Liang; Najmeh Abiri; Atiye Sadat Hashemi; Jens Lundström; Stefan Byttner; Prayag Tiwari (ICASSP, 2025)

Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines. - Rikard Vinge; Stefan Byttner; Jens Lundström (IDA, 2025)

Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting. - Guojun Liang; Prayag Tiwari; Slawomir Nowaczyk; Stefan Byttner; Fernando Alonso-Fernandez (IEEE Trans. Neural Networks Learn. Syst., 2025)