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Gunnar Mathiason
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2020 – today
- 2023
- [j4]H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason, Alexander Karlsson:
Topic modeling for anomaly detection in telecommunication networks. J. Ambient Intell. Humaniz. Comput. 14(11): 15085-15096 (2023) - 2021
- [j3]Niclas Ståhl, Gunnar Mathiason, Dellainey Alcacoas:
Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data. SN Comput. Sci. 2(2): 103 (2021) - [c11]Niclas Ståhl, Gunnar Mathiason, Juhee Bae:
Utilising Data from Multiple Production Lines for Predictive Deep Learning Models. DCAI (1) 2021: 67-76 - 2020
- [c10]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason:
Evaluation of Uncertainty Quantification in Deep Learning. IPMU (1) 2020: 556-568
2010 – 2019
- 2019
- [j2]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design. J. Chem. Inf. Model. 59(7): 3166-3176 (2019) - [j1]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data. J. Integr. Bioinform. 16(1) (2019) - 2018
- [c9]Tove Helldin, H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason:
Situation Awareness in Telecommunication Networks Using Topic Modeling. FUSION 2018: 549-556 - [c8]Niclas Ståhl, Göran Falkman, Gunnar Mathiason, Alexander Karlsson:
A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes. IPMU (3) 2018: 248-259 - [c7]Alexander Karlsson, Denio Duarte, Gunnar Mathiason, Juhee Bae:
Evaluation of the Dirichlet Process Multinomial Mixture Model for Short-Text Topic Modeling. ISCBI 2018: 79-83 - [c6]Juhee Bae, Jesper Havsol, Martin Karpefors, Alexander Karlsson, Gunnar Mathiason:
Short Text Topic Modeling to Identify Trends on Wearable Bio-Sensors in Different Media Type. ISCBI 2018: 89-93 - [c5]Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. PACBB 2018: 71-79 - 2017
- [c4]H. Joe Steinhauer, Tove Helldin, Alexander Karlsson, Gunnar Mathiason:
Topic modeling for situation understanding in telecommunication networks. ITNAC 2017: 1-6 - [c3]Yacine Atif, Stylianos Sergis, Demetrios G. Sampson, Gunnar Mathiason:
A Cyberphysical Learning Approach for Digital Smart Citizenship Competence Development. WWW (Companion Volume) 2017: 397-405 - 2016
- [c2]H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason, Tove Helldin:
Root-cause localization using Restricted Boltzmann Machines. FUSION 2016: 248-255
2000 – 2009
- 2009
- [b1]Gunnar Mathiason:
Virtual Full Replication for Scalable Distributed Real-Time Databases. Linköping University, Sweden, 2009 - 2007
- [c1]Gunnar Mathiason, Sten F. Andler, Sang Hyuk Son:
Virtual Full Replication by Adaptive Segmentation. RTCSA 2007: 327-336 - [r1]Marcus Brohede, Sten F. Andler, Sanny Gustavsson, Gunnar Mathiason:
DeeDS NG. Handbook of Real-Time and Embedded Systems 2007
Coauthor Index
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