Gunnar Mathiason

According to our database, Gunnar Mathiason authored at least 17 papers between 2007 and 2023.

Collaborative distances:

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

2023

Topic modeling for anomaly detection in telecommunication networks.

H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason, Alexander Karlsson

J. Ambient Intell. Humaniz. Comput., 2023

2021

Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data.

Niclas Ståhl, Gunnar Mathiason, Dellainey Alcacoas

SN Comput. Sci., 2021

Utilising Data from Multiple Production Lines for Predictive Deep Learning Models.

Niclas Ståhl, Gunnar Mathiason, Juhee Bae

Proceedings of the Distributed Computing and Artificial Intelligence, 2021

2020

Evaluation of Uncertainty Quantification in Deep Learning.

Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data.

Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström

J. Integr. Bioinform., 2019

Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design.

Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström

J. Chem. Inf. Model., 2019

2018

Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties.

Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström

Proceedings of the Practical Applications of Computational Biology and Bioinformatics, 2018

Evaluation of the Dirichlet Process Multinomial Mixture Model for Short-Text Topic Modeling.

Alexander Karlsson, Denio Duarte, Gunnar Mathiason, Juhee Bae

Proceedings of the 6th International Symposium on Computational and Business Intelligence, 2018

Short Text Topic Modeling to Identify Trends on Wearable Bio-Sensors in Different Media Type.

Juhee Bae, Jesper Havsol, Martin Karpefors, Alexander Karlsson, Gunnar Mathiason

Proceedings of the 6th International Symposium on Computational and Business Intelligence, 2018

A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes.

Niclas Ståhl, Göran Falkman, Gunnar Mathiason, Alexander Karlsson

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Situation Awareness in Telecommunication Networks Using Topic Modeling.

Tove Helldin, H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

A Cyberphysical Learning Approach for Digital Smart Citizenship Competence Development.

Yacine Atif, Stylianos Sergis, Demetrios G. Sampson, Gunnar Mathiason

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Topic modeling for situation understanding in telecommunication networks.

H. Joe Steinhauer, Tove Helldin, Alexander Karlsson, Gunnar Mathiason

Proceedings of the 27th International Telecommunication Networks and Applications Conference, 2017

2016

Root-cause localization using Restricted Boltzmann Machines.

H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason, Tove Helldin

Proceedings of the 19th International Conference on Information Fusion, 2016

2009

Virtual Full Replication for Scalable Distributed Real-Time Databases.

Gunnar Mathiason

PhD thesis, 2009

2007

DeeDS NG.

Marcus Brohede, Sten F. Andler, Sanny Gustavsson, Gunnar Mathiason

Proceedings of the Handbook of Real-Time and Embedded Systems., 2007

Virtual Full Replication by Adaptive Segmentation.

Gunnar Mathiason, Sten F. Andler, Sang Hyuk Son

Proceedings of the 13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2007), 2007