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Stefan 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) - [i3]Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner:
Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. CoRR abs/2405.10995 (2024) - [i2]Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner:
Expected Grad-CAM: Towards gradient faithfulness. CoRR abs/2406.01274 (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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last updated on 2024-08-05 20:22 CEST by the dblp team
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