| 2025 | ANT | Data-Driven Prediction of Vehicle-Vulnerable Road User Collisions at Road Intersections Using Machine Learning Models. | Yacine Atif, Yuri Tarakanov, Mikael Lebram, H. Joe Steinhauer, Alexander Karlsson, Paul Hemeren |
| 2024 | WACV | Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition. | Koen Vellenga, H. Joe Steinhauer, Gran Falkman, Tomas Bjrklund |
| 2021 | AAAI | Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach. | Omar Hamed, H. Joe Steinhauer |
| 2019 | MDAI | An Infinite Replicated Softmax Model for Topic Modeling. | Nikolas Alexander Huhnstock, Alexander Karlsson, Maria Riveiro, H. Joe Steinhauer |
| 2018 | FUSION | Situation Awareness in Telecommunication Networks Using Topic Modeling. | Tove Helldin, H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason |
| 2018 | SAC | On the behavior of the infinite restricted boltzmann machine for clustering. | Nikolas A. Huhnstock, Alexander Karlsson, Maria Riveiro, H. Joe Steinhauer |
| 2017 | ITNAC | Topic modeling for situation understanding in telecommunication networks. | H. Joe Steinhauer, Tove Helldin, Alexander Karlsson, Gunnar Mathiason |
| 2016 | FUSION | Root-cause localization using Restricted Boltzmann Machines. | H. Joe Steinhauer, Alexander Karlsson, Gunnar Mathiason, Tove Helldin |
| 2013 | FUSION | Traceable uncertainty. | H. Joe Steinhauer, Alexander Karlsson, Sten F. Andler |
| 2012 | ICOST | Context Awareness for a Smart Environment Utilizing Context Maps and Dempster-Shafer Theory. | H. Joe Steinhauer, Stephen Marsland, Hans W. Guesgen |
| 2008 | ECAI | Object Configuration Reconstruction from Descriptions using Relative and Intrinsic Reference Frames. | H. Joe Steinhauer |
| 2008 | KI | Object Configuration Reconstruction from Incomplete Binary Object Relation Descriptions. | H. Joe Steinhauer |