| 2021 | DCAI | Utilising Data from Multiple Production Lines for Predictive Deep Learning Models. | Niclas Sthl, Gunnar Mathiason, Juhee Bae |
| 2020 | IPMU | Evaluation of Uncertainty Quantification in Deep Learning. | Niclas Sthl, Gran Falkman, Alexander Karlsson, Gunnar Mathiason |
| 2018 | FUSION | Situation Awareness in Telecommunication Networks Using Topic Modeling. | Tove Helldin, H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason |
| 2018 | IPMU | A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes. | Niclas Sthl, Gran Falkman, Gunnar Mathiason, Alexander Karlsson |
| 2018 | PACBB | Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. | Niclas Sthl, Gran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Bostrm |
| 2017 | ITNAC | Topic modeling for situation understanding in telecommunication networks. | H. Joe Steinhauer, Tove Helldin, Alexander Karlsson, Gunnar Mathiason |
| 2017 | WWW | A Cyberphysical Learning Approach for Digital Smart Citizenship Competence Development. | Yacine Atif, Stylianos Sergis, Demetrios G. Sampson, Gunnar Mathiason |
| 2016 | FUSION | Root-cause localization using Restricted Boltzmann Machines. | H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason, Tove Helldin |
| 2007 | RTCSA | Virtual Full Replication by Adaptive Segmentation. | Gunnar Mathiason, Sten F. Andler, Sang Hyuk Son |