Gunnar Mathiason

Using Machine Learning for Robust Target Prediction in a Basic Oxygen Furnace System

Juhee Bae, Yurong Li, Niclas Ståhl, Gunnar Mathiason, Niklas Kojola

Metallurgical and materials transactions. B, process metallurgy and materials processing science

2020. Article. https://doi.org/10.1007/s11663-020-01853-5 Open Access

Evaluation of Uncertainty Quantification in Deep Learning

Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason

Information Processing and Management of Uncertainty in Knowledge-Based Systems: 18th International Conference, IPMU 2020, Lisbon, Portugal, June 15–19, 2020, Proceedings, Part I

2020. Conference paper. https://doi.org/10.1007/978-3-030-50146-4_41

Short Text Topic Modeling to Identify Trends on Wearable Bio-sensors in Different Media Types

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

Proceedings - 6th International Symposium on Computational and Business Intelligence, ISCBI 2018

2019. Conference paper. https://doi.org/10.1109/ISCBI.2018.00027

Topic modeling for anomaly detection in telecommunication networks

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

Journal of Ambient Intelligence and Humanized Computing

2019. Article. https://doi.org/10.1007/s12652-019-01372-5 Open Access

Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design

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

Journal of Chemical Information and Modeling

2019. Article. https://doi.org/10.1021/acs.jcim.9b00325

Improving the use of deep convolutional neural networks for the prediction of molecular properties

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

Practical Applications of Computational Biology and Bioinformatics, 12th International Conference

2019. Conference paper. https://doi.org/10.1007/978-3-319-98702-6_9

Using recurrent neural networks with attention for detecting problematic slab shapes in steel rolling

Niclas Ståhl, Gunnar Mathiason, Göran Falkman, Alexander Karlsson

Applied Mathematical Modelling

2019. Article. https://doi.org/10.1016/j.apm.2019.01.027

Situation Awareness in Telecommunication Networks Using Topic Modeling

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

2018 21st International Conference on Information Fusion, FUSION 2018

2018. Conference paper. https://doi.org/10.23919/ICIF.2018.8455529

Evaluation of the dirichlet process multinomial mixture model for short-text topic modeling

Alexander Karlsson, Denio Duarte, Gunnar Mathiason, Juhee Bae

Proceedings - 6th International Symposium on Computational and Business Intelligence, ISCBI 2018

2018. Conference paper. https://doi.org/10.1109/ISCBI.2018.00025

Spatio-Temporal Awareness for Wireless Telecommunication Networks

H. Joe Steinhauer, Tove Helldin, Gunnar Mathiason

Working Papers and Documents of the IJCAI-ECAI-2018 Workshop on Learning and Reasoning: Principles & Applications to Everyday Spatial and Temporal Knowledge

2018. Conference paper. Open Access

Anomaly Detection in Telecommunication Networks using Topic Models

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

Modeling Decisions for Artificial Intelligence, 15th International Conference, MDAI 2018, Mallorca, Spain, October 15–18, 2018

2018. Conference paper.

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

Journal of Integrative Bioinformatics

2018. Article. https://doi.org/10.1515/jib-2018-0065 Open Access

A self-organizing ensemble of deep neural networks for the classification of data from complex processes

Niclas Ståhl, Göran Falkman, Gunnar Mathiason, Alexander Karlsson

INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS: APPLICATIONS, IPMU 2018, PT III

2018. Conference paper. https://doi.org/10.1007/978-3-319-91479-4_21

A Cyberphysical Learning Approach for Digital Smart Citizenship Competence Development

Yacine Atif, Sergis Stylianos, Sampson Demetrios, Gunnar Mathiason

WWW '17: Proceedings of the 26th International Conference on World Wide Web Companion

2017. Conference paper. https://doi.org/10.1145/3041021.3054167

The advanced analytics Jumpstart: definition, process model, best practices

Jeremy Rose, Mikael Berndtsson, Gunnar Mathiason, Peter Larsson

Journal of Information Systems and Technology Management

2017. Article. https://doi.org/10.4301/S1807-17752017000300003 Open Access

Topic Modeling for Situation Understanding in Telecommunication Networks

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

2017 27th International Telecommunication Networks and Applications Conference (ITNAC)

2017. Conference paper. https://doi.org/10.1109/ATNAC.2017.8215362

Root-Cause Localization using Restricted Boltzmann Machines

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

2016 19th International Conference on Information Fusion Proceedings

2016. Conference paper.

Towards Threat Modeling for CPS-based Critical Infrastructure Protection

Jianguo Ding, Birgitta Lindström, Gunnar Mathiason, Sten F. Andler

Proceedings of the International Emergency Management Society (TIEMS), 22nd TIEMS Annual Conference: Evolving threats and vulnerability landscape: new challenges for the emergency management

2015. Conference paper.

Virtual Full Replication for Scalable Distributed Real-Time Databases

Gunnar Mathiason

2009. Doctoral thesis.

Exploring a Multi-Tiered Whiteboard Infrastructure for Information Fusion in Wireless Sensor Networks

Gunnar Mathiason, Sten F. Andler, Woochul Kang

Proceedings of the second Skövde Workshop on Information Fusion Topics (SWIFT 2008)

2008. Conference paper.

Virtual Full Replication for Scalable and Adaptive Real-Time Communication in Wireless Sensor Networks

Gunnar Mathiason, Sten F Andler, Sang H Son

Proceedings of the Second International Conference on Sensor Technologies and Applications (SENSORCOMM 2008)

2008. Conference paper. https://doi.org/10.1109/SENSORCOMM.2008.74