Gunnar Mathiason

University of Skövde — Sweden

Computer Science · Physical Sciences

9h-index536citations42works0.02yr avg
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Research Topics

Distributed systems and fault tolerance(7), Computational Drug Discovery Methods(6), Distributed and Parallel Computing Systems(6), Complex Network Analysis Techniques(5), Energy Efficient Wireless Sensor Networks(4)

Publications42 total

Utilising Data from Multiple Production Lines for Predictive Deep Learning Models
Lecture notes in networks and systems·2021
Using Reinforcement Learning for Generating Polynomial Models to Explain Complex Data
SN Computer Science·2021· 2 citedOpen Access
Understanding Robust Target Prediction in Basic Oxygen Furnace
2021
Increased Network Monitoring Support through Topic Modelling
International Journal of Information Communication Technology and Applications·2020Open Access
Using Machine Learning for Robust Target Prediction in a Basic Oxygen Furnace System
Metallurgical and Materials Transactions B·2020· 47 citedOpen Access
Evaluation of Uncertainty Quantification in Deep Learning
Communications in computer and information science·2020· 40 citedOpen Access
Topic modeling for anomaly detection in telecommunication networks
Journal of Ambient Intelligence and Humanized Computing·2019· 6 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in <i>de novo</i> Drug Design
Journal of Chemical Information and Modeling·2019· 204 cited
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 4 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 45 citedOpen Access
Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design
2019· 1 citedOpen Access
Using recurrent neural networks with attention for detecting problematic slab shapes in steel rolling
Applied Mathematical Modelling·2019· 37 cited
Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data
Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics·2018· 19 citedOpen Access
Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties
Advances in intelligent systems and computing·2018
Evaluation of the Dirichlet Process Multinomial Mixture Model for Short-Text Topic Modeling
2018· 3 cited
Short Text Topic Modeling to Identify Trends on Wearable Bio-Sensors in Different Media Type
2018
Situation Awareness in Telecommunication Networks Using Topic Modeling
2018· 5 cited
The advanced analytics Jumpstart: definition, process model, best practices
Journal of Information Systems and Technology Management·2018· 9 citedOpen Access
Anomaly Detection in Telecommunication Networks using Topic Models
Modeling Decisions for Artificial Intelligence·2018
A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes
Communications in computer and information science·2018· 1 cited
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Frequent Co-authors

Alexander Karlsson(17), Niclas Ståhl(13), Sten F. Andler(10), Göran Falkman(9), Tove Helldin(7), Jonas Boström(6), H. Joe Steinhauer(6), Juhee Bae(5), Sang H. Son(3), Yurong Li(2), Niklas Kojola(2), Marcus Brohede(2), Sanny Gustavsson(2), Jeremy Rose(2), Mikael Berndtsson(2), Peter Larsson(2), Leo Selavo(2), Daniel Jagszent(1), Yacine Atif(1), Stylianos Sergis(1)