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ORCIDStefan Byttner
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2020 – today
- 2024
[j9]Heloísa Oss Boll
, Ali Amirahmadi, Mirfarid Musavian Ghazani, Wagner Ourique de Morais, Edison Pignaton de Freitas, Amira Soliman, Farzaneh Etminani, Stefan Byttner, Mariana Recamonde Mendoza:
Graph neural networks for clinical risk prediction based on electronic health records: A survey. J. Biomed. Informatics 151: 104616 (2024)- [c12]Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner:
Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. CIKM 2024: 1356-1366 - [i4]Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner:
Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. CoRR abs/2405.10995 (2024) - [i3]Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner:
Expected Grad-CAM: Towards gradient faithfulness. CoRR abs/2406.01274 (2024) - [i2]Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi, Jens Lundström, Stefan Byttner, Prayag Tiwari:
Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. CoRR abs/2409.08917 (2024) - 2023
- [i1]Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner, Fernando Alonso-Fernandez:
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting. CoRR abs/2305.09703 (2023) - 2022
- [j8]Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd:
A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating. Expert Syst. Appl. 201: 116864 (2022) - [j7]Amira Soliman, 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, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Bart N. M. van Berckel, Andrea Pilotto, Alessandro Padovani, Silvia Morbelli, Dag Aarsland, Flavio Nobili, Valentina Garibotto, Miguel Ochoa Figueroa:
Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. BMC Medical Informatics Decis. Mak. 22-S(6): 318 (2022) - [c11]Jeanette Sjöberg, Stefan Byttner, Pontus Wärnestål, Jonathan Burgos, Magnus Holmén:
Promoting Life-Long Learning Through Flexible Educational Format for Professionals Within AI, Design and Innovation Management. DLI 2022: 38-47 - 2021
- [j6]Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd:
Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets. Neurocomputing 462: 591-606 (2021) - 2020
- [j5]Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Natasa Nord, Henrik Gadd:
Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach. Eng. Appl. Artif. Intell. 90: 103492 (2020)
2010 – 2019
- 2018
- [j4]Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Stefan Byttner, Rune Prytz, Magnus Svensson:
Self-monitoring for maintenance of vehicle fleets. Data Min. Knowl. Discov. 32(2): 344-384 (2018) - 2016
- [c10]Tove Helldin, Maria Riveiro, Sepideh Pashami, Göran Falkman, Stefan Byttner, Slawomir Nowaczyk:
Supporting Analytical Reasoning - A Study from the Automotive Industry. HCI (5) 2016: 20-31 - [c9]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:
Center for Applied Intelligent Systems Research (Position paper). SAIS 2016: 129:005 - 2015
- [j3]Rune Prytz, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson, Stefan Byttner:
Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. Eng. Appl. Artif. Intell. 41: 139-150 (2015) - 2014
- [j2]Gancho Vachkov, Stefan Byttner, Magnus Svensson:
Detection of Deviation in Performance of Battery Cells by Data Compression and Similarity Analysis. Int. J. Intell. Syst. 29(3): 207-222 (2014) - [c8]Thorsteinn S. Rögnvaldsson, Henrik Norrman, Stefan Byttner, Eric Järpe:
Estimating p-Values for Deviation Detection. SASO 2014: 100-109 - 2013
- [c7]Slawomir Nowaczyk, Rune Prytz, Thorsteinn S. Rögnvaldsson, Stefan Byttner:
Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data. SCAI 2013: 205-214 - 2012
- [c6]Gancho Vachkov, Stefan Byttner, Magnus Svensson:
Battery aging detection based on sequential clustering and similarity analysis. IEEE Conf. of Intelligent Systems 2012: 42-47 - [c5]Slawomir Nowaczyk, Rune Prytz, Stefan Byttner:
Ideas for Fault Detection Using Relation Discovery. SAIS 2012: 1-6 - 2011
- [j1]Stefan Byttner, Thorsteinn S. Rögnvaldsson, Magnus Svensson:
Consensus self-organized models for fault detection (COSMO). Eng. Appl. Artif. Intell. 24(5): 833-839 (2011) - [c4]Stefan Byttner, Magnus Svensson, Gancho Vachkov:
Incremental classification of process data for anomaly detection based on similarity analysis. EAIS 2011: 108-115 - 2010
- [c3]Stefan Byttner, Magnus Svensson, Thorsteinn S. Rögnvaldsson:
Finding the Odd-One-Out in Fleets of Mechatronic Systems using Embedded Intelligent Agents. AAAI Spring Symposium: Embedded Reasoning 2010
2000 – 2009
- 2009
- [c2]Stefan Byttner, Thorsteinn S. Rögnvaldsson, Magnus Svensson, George Bitar, Wesley Chominsky:
Networked Vehicles for Automated Fault Detection. ISCAS 2009: 1213-1216 - 2008
- [c1]Thorsteinn S. Rögnvaldsson, Georg Panholzer, Stefan Byttner, Magnus Svensson:
A self-organized approach for unsupervised fault detection in multiple systems. ICPR 2008: 1-4
Coauthor Index
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