Thorsteinn S. Rögnvaldsson

According to our database, Thorsteinn S. Rögnvaldsson authored at least 54 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multimodal meta-learning through meta-learned task representations.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Neural Comput. Appl., May, 2024

Meta-learning for efficient unsupervised domain adaptation.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Neurocomputing, March, 2024

Advances and Challenges in Meta-Learning: A Technical Review.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren, Thorsteinn S. Rögnvaldsson, KC Santosh

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Evaluation of synthetic electronic health records: A systematic review and experimental assessment.

Emmanuella Budu, Kobra Etminani, Amira Soliman, Thorsteinn S. Rögnvaldsson

Neurocomputing, 2024

Volvo Discovery Challenge at ECML-PKDD 2024.

Mahmoud Rahat, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Shamik Choudhury, Leo Petrin, Thorsteinn S. Rögnvaldsson, Andreas Voskou, Carlo Metta, Claudio Savelli

CoRR, 2024

Learning to Learn without Forgetting using Attention.

Anna Vettoruzzo, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

CoRR, 2024

CoxSE: Exploring the Potential of Self-Explaining Neural Networks with Cox Proportional Hazards Model for Survival Analysis.

Abdallah Alabdallah, Omar Hamed, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Sepideh Pashami

CoRR, 2024

The Concordance Index decomposition: A measure for a deeper understanding of survival prediction models.

Abdallah Alabdallah, Mattias Ohlsson, Sepideh Pashami, Thorsteinn S. Rögnvaldsson

Artif. Intell. Medicine, 2024

Personalized Federated Learning with Contextual Modulation and Meta-Learning.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Understanding Survival Models Through Counterfactual Explanations.

Abdallah Alabdallah, Jakub Jakubowski, Sepideh Pashami, Szymon Bobek, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson, Grzegorz J. Nalepa

Proceedings of the Computational Science - ICCS 2024, 2024

Improving Concordance Index in Regression-based Survival Analysis: Evolutionary Discovery of Loss Function for Neural Networks.

Mohammed Ghaith Altarabichi, Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Mattias Ohlsson

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Material handling machine activity recognition by context ensemble with gated recurrent units.

Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv

Eng. Appl. Artif. Intell., November, 2023

Predicting Vehicle Behavior Using Multi-task Ensemble Learning.

Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Daniel Tegnered, Jens Lundström, Thorsteinn S. Rögnvaldsson

Expert Syst. Appl., 2023

Practical joint human-machine exploration of industrial time series using the matrix profile.

Felix Nilsson, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Data Min. Knowl. Discov., 2023

A Framework for Evaluating Synthetic Electronic Health Records.

Emmanuella Budu, Amira Soliman, Kobra Etminani, Thorsteinn S. Rögnvaldsson

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters.

Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Thorsteinn S. Rögnvaldsson

Proceedings of the International Joint Conference on Neural Networks, 2023

Optimal Task Grouping Approach in Multitask Learning.

Reza Khoshkangini, Mohsen Tajgardan, Peyman Sheikholharam Mashhadi, Thorsteinn S. Rögnvaldsson, Daniel Tegnered

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Toward Solving Domain Adaptation with Limited Source Labeled Data.

Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Jonas Klang, Gustav Sternelöv

Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Explaining Satellite Based Poverty Predictions with Convolutional Neural Networks.

Hamid Sarmadi, Thorsteinn S. Rögnvaldsson, Nils Roger Carlsson, Mattias Ohlsson, Ibrahim Wahab, Ola Hall

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals.

Kunru Chen, Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Sepideh Pashami, Emilia Johansson, Gustav Sternelöv

Sensors, 2022

A review of explainable AI in the satellite data, deep machine learning, and human poverty domain.

Ola Hall, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson

Patterns, 2022

Deterministic annealing with Potts neurons for multi-robot routing.

Jennifer David, Thorsteinn S. Rögnvaldsson, Bo Söderberg, Mattias Ohlsson

Intell. Serv. Robotics, 2022

Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain.

Ola Hall, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson

CoRR, 2022

SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP.

Abdallah Alabdallah, Sepideh Pashami, Thorsteinn S. Rögnvaldsson, Mattias Ohlsson

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Multi-Robot Routing Problem with Min-Max Objective.

Jennifer David, Thorsteinn S. Rögnvaldsson

Robotics, 2021

2020

Transfer learning for remaining useful life prediction based on consensus self-organizing models.

Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson

Reliab. Eng. Syst. Saf., 2020

Forklift Truck Activity Recognition from CAN Data.

Kunru Chen, Sepideh Pashami, Slawomir Nowaczyk, Emilia Johansson, Gustav Sternelöv, Thorsteinn S. Rögnvaldsson

Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020

2018

Self-monitoring for maintenance of vehicle fleets.

Thorsteinn S. Rögnvaldsson, Slawomir Nowaczyk, Stefan Byttner, Rune Prytz, Magnus Svensson

Data Min. Knowl. Discov., 2018

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

Proceedings of the 29th Annual Workshop of the Swedish Artificial Intelligence Society, 2016

Learning of Aggregate Features for Comparing Drivers Based on Naturalistic Data.

Iulian Carpatorea, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson, Marcus Elmer, Johan Lodin

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

HIV-1 protease cleavage.

Thorsteinn S. Rögnvaldsson

Dataset, April, 2015

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

State of the art prediction of HIV-1 protease cleavage sites.

Thorsteinn S. Rögnvaldsson, Liwen You, Daniel Garwicz

Bioinform., 2015

Incorporating Expert Knowledge into a Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet.

Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson

Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleet.

Yuantao Fan, Slawomir Nowaczyk, Thorsteinn S. Rögnvaldsson

Proceedings of the INNS Conference on Big Data 2015, 2015

2014

Estimating p-Values for Deviation Detection.

Thorsteinn S. Rögnvaldsson, Henrik Norrman, Stefan Byttner, Eric Järpe

Proceedings of the Eighth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2014

2013

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

Slawomir Nowaczyk, Rune Prytz, Thorsteinn S. Rögnvaldsson, Stefan Byttner

Proceedings of the Twelfth Scandinavian Conference on Artificial Intelligence, 2013

2012

A Simple Trick for Estimating the Weight Decay Parameter.

Thorsteinn S. Rögnvaldsson

Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

Gold-Fish SLAM: An Application of SLAM to Localize AGVs.

Henrik Andreasson, Abdelbaki Bouguerra, Björn Åstrand, Thorsteinn S. Rögnvaldsson

Proceedings of the Field and Service Robotics, 2012

2011

Consensus self-organized models for fault detection (COSMO).

Stefan Byttner, Thorsteinn S. Rögnvaldsson, Magnus Svensson

Eng. Appl. Artif. Intell., 2011

2010

Finding the Odd-One-Out in Fleets of Mechatronic Systems using Embedded Intelligent Agents.

Stefan Byttner, Magnus Svensson, Thorsteinn S. Rögnvaldsson

Proceedings of the Embedded Reasoning, 2010

2009

How to find simple and accurate rules for viral protease cleavage specificities.

Thorsteinn S. Rögnvaldsson, Terence A. Etchells, Liwen You, Daniel Garwicz, Ian H. Jarman, Paulo J. G. Lisboa

BMC Bioinform., 2009

Networked Vehicles for Automated Fault Detection.

Stefan Byttner, Thorsteinn S. Rögnvaldsson, Magnus Svensson, George Bitar, Wesley Chominsky

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

An Autonomous Robotic System for Load Transportation.

Abdelbaki Bouguerra, Henrik Andreasson, Achim J. Lilienthal, Björn Åstrand, Thorsteinn S. Rögnvaldsson

Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2009

2008

A self-organized approach for unsupervised fault detection in multiple systems.

Thorsteinn S. Rögnvaldsson, Georg Panholzer, Stefan Byttner, Magnus Svensson

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Almost Linear Biobasis Function Neural Networks.

Liwen You, Thorsteinn S. Rögnvaldsson

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors.

Eric A. Antonelo, Albert-Jan Baerveldt, Thorsteinn S. Rögnvaldsson, Maurício F. Figueiredo

Proceedings of the International Joint Conference on Neural Networks, 2006

Biometric Identification of Mice.

Kenneth Nilsson, Thorsteinn S. Rögnvaldsson, Jens Cameron, Christina Jacobson

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2004

Modular, scriptable and automated analysis tools for high-throughput peptide mass fingerprinting.

Jim Samuelsson, Daniel Dalevi, Fredrik Levander, Thorsteinn S. Rögnvaldsson

Bioinform., 2004

Why neural networks should not be used for HIV-1 protease cleavage site prediction.

Thorsteinn S. Rögnvaldsson, Liwen You

Bioinform., 2004

1996

A Simple Trick for Estimating the Weight Decay Parameter.

Thorsteinn S. Rögnvaldsson

Proceedings of the Neural Networks: Tricks of the Trade, 1996

Smoothing Regularizers for Projective Basis Function Networks.

John E. Moody, Thorsteinn S. Rögnvaldsson

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1994

On Langevin Updating in Multilayer Perceptrons.

Thorsteinn S. Rögnvaldsson

Neural Comput., 1994

1993

Pattern Discrimination Using Feedforward Networks: A Benchmark Study of Scaling Behavior.

Thorsteinn S. Rögnvaldsson

Neural Comput., 1993