Stefan Byttner

31 papers A 1B 2C 1Misc 1Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attribution Upsampling should Redistribute, Not Interpolate. CoRR Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner
2025	J	`jnl`	Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting. IEEE Trans. Neural Networks Learn. Syst. Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner, Fernando Alonso-Fernandez
2025	B	`conf`	Expanding Polynomial Kernels for Global and Local Explanations of Support Vector Machines. IDA Rikard Vinge, Stefan Byttner, Jens Lundström
2025	Misc	`conf`	Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. ICASSP Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi, Jens Lundström, Stefan Byttner, Prayag Tiwari
2025	—	`conf`	Recommendation System of Client-Requested Projects in the Swedish Consultancy Market with LLMs. SAIS Diogo Buarque Franzosi, Kristijan Capovski, Maycel Isaac, Stefan Byttner
2024	J	`jnl`	Expected Grad-CAM: Towards gradient faithfulness. CoRR Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner
2024	J	`jnl`	Graph Neural Networks for Heart Failure Prediction on an EHR-Based Patient Similarity Graph. CoRR Heloísa Oss Boll, Ali Amirahmadi, Amira Soliman, Stefan Byttner, Mariana Recamonde Mendoza
2024	J	`jnl`	Graph neural networks for clinical risk prediction based on electronic health records: A survey. J. Biomed. Informatics 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
2024	A	`conf`	Higher-order Spatio-temporal Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. CIKM Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner
2024	J	`jnl`	Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. CoRR Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi, Jens Lundström, Stefan Byttner, Prayag Tiwari
2024	J	`jnl`	Physics-incorporated Graph Neural Network for Multivariate Time Series Imputation. CoRR Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner
2023	J	`jnl`	Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting. CoRR Guojun Liang, Prayag Tiwari, Slawomir Nowaczyk, Stefan Byttner, Fernando Alonso-Fernandez
2022	J	`jnl`	A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating. Expert Syst. Appl. Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd
2022	J	`jnl`	Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model. BMC Medical Informatics Decis. Mak. 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
2022	—	`conf`	Promoting Life-Long Learning Through Flexible Educational Format for Professionals Within AI, Design and Innovation Management. DLI Jeanette Sjöberg, Stefan Byttner, Pontus Wärnestål, Jonathan Burgos, Magnus Holmén
2021	J	`jnl`	Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets. Neurocomputing Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Henrik Gadd
2020	J	`jnl`	Large-scale monitoring of operationally diverse district heating substations: A reference-group based approach. Eng. Appl. Artif. Intell. Shiraz Farouq, Stefan Byttner, Mohamed-Rafik Bouguelia, Natasa Nord, Henrik Gadd
2018	J	`jnl`	Self-monitoring for maintenance of vehicle fleets. Data Min. Knowl. Discov. Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Stefan Byttner, Rune Prytz, Magnus Svensson
2016	—	`conf`	Center for Applied Intelligent Systems Research (Position paper). SAIS 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
2016	—	`conf`	Supporting Analytical Reasoning - A Study from the Automotive Industry. HCI (5) Tove Helldin, Maria Riveiro, Sepideh Pashami, Göran Falkman, Stefan Byttner, Slawomir Nowaczyk
2015	J	`jnl`	Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. Eng. Appl. Artif. Intell. Rune Prytz, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson, Stefan Byttner
2014	J	`jnl`	Detection of Deviation in Performance of Battery Cells by Data Compression and Similarity Analysis. Int. J. Intell. Syst. Gancho Vachkov, Stefan Byttner, Magnus Svensson
2014	—	`conf`	Estimating p-Values for Deviation Detection. SASO Thorsteinn S. Rögnvaldsson, Henrik Norrman, Stefan Byttner, Eric Järpe
2013	—	`conf`	Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data. SCAI Slawomir Nowaczyk, Rune Prytz, Thorsteinn S. Rögnvaldsson, Stefan Byttner
2012	—	`conf`	Battery aging detection based on sequential clustering and similarity analysis. IEEE Conf. of Intelligent Systems Gancho Vachkov, Stefan Byttner, Magnus Svensson
2012	—	`conf`	Ideas for Fault Detection Using Relation Discovery. SAIS Slawomir Nowaczyk, Rune Prytz, Stefan Byttner
2011	J	`jnl`	Consensus self-organized models for fault detection (COSMO). Eng. Appl. Artif. Intell. Stefan Byttner, Thorsteinn S. Rögnvaldsson, Magnus Svensson
2011	—	`conf`	Incremental classification of process data for anomaly detection based on similarity analysis. EAIS Stefan Byttner, Magnus Svensson, Gancho Vachkov
2010	—	`conf`	Finding the Odd-One-Out in Fleets of Mechatronic Systems using Embedded Intelligent Agents. AAAI Spring Symposium: Embedded Reasoning Stefan Byttner, Magnus Svensson, Thorsteinn S. Rögnvaldsson
2009	C	`conf`	Networked Vehicles for Automated Fault Detection. ISCAS Stefan Byttner, Thorsteinn S. Rögnvaldsson, Magnus Svensson, George Bitar, Wesley Chominsky
2008	B	`conf`	A self-organized approach for unsupervised fault detection in multiple systems. ICPR Thorsteinn S. Rögnvaldsson, Georg Panholzer, Stefan Byttner, Magnus Svensson