A Qualitative Model for Natural Language Communication about Vehicle Traffic. - H. Joe Steinhauer (AAAI Spring Symposium: Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance, 2005)

Object Configuration Reconstruction from Descriptions using Relative and Intrinsic Reference Frames. - H. Joe Steinhauer (ECAI, 2008)

Object Configuration Reconstruction from Incomplete Binary Object Relation Descriptions. - H. Joe Steinhauer (KI, 2008)

Utilising Temporal Information in Behaviour Recognition. - H. Joe Steinhauer; Sook-Ling Chua; Hans Werner Guesgen; Stephen Marsland (AAAI Spring Symposium: It's All in the Timing, 2010)

Exploring the responsibilities of single-inhabitant Smart Homes with Use Cases. - Paul Lyons; An Cong Tran; H. Joe Steinhauer; Stephen Marsland; Jens Dietrich 001; Hans W. Guesgen (J. Ambient Intell. Smart Environ., 2010)

Context Awareness for a Smart Environment Utilizing Context Maps and Dempster-Shafer Theory. - H. Joe Steinhauer; Stephen Marsland; Hans W. Guesgen (ICOST, 2012)

Traceable uncertainty. - H. Joe Steinhauer; Alexander Karlsson; Sten F. Andler (FUSION, 2013)

Traceable Uncertainty for Threat Evaluation in Air to Ground Scenarios. - H. Joe Steinhauer; Alexander Karlsson (SCAI, 2013)

Automatic Early Risk Detection of Possible Medical Conditions for Usage Within an AMI-System. - H. Joe Steinhauer; Jonas Mellin (ISAmI, 2015)

Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach. - Alexander Karlsson; Björn Hammarfelt; H. Joe Steinhauer; Göran Falkman; Nasrine Olson; Gustaf Nelhans; Jan Michael Nolin (Scientometrics, 2015)

Root-cause localization using Restricted Boltzmann Machines. - H. Joe Steinhauer; Alexander Karlsson; Gunnar Mathiason; Tove Helldin (FUSION, 2016)

Topic modeling for situation understanding in telecommunication networks. - H. Joe Steinhauer; Tove Helldin; Alexander Karlsson; Gunnar Mathiason (ITNAC, 2017)

Situation Awareness in Telecommunication Networks Using Topic Modeling. - Tove Helldin; H. Joe Steinhauer; Alexander Karlsson; Gunnar Mathiason (FUSION, 2018)

On the behavior of the infinite restricted boltzmann machine for clustering. - Nikolas A. Huhnstock; Alexander Karlsson; Maria Riveiro 001; H. Joe Steinhauer (SAC, 2018)

Information Fusion. - H. Joe Steinhauer; Alexander Karlsson (Data Science in Practice, 2019)

Artificial Intelligence. - Vicenç Torra; Alexander Karlsson; H. Joe Steinhauer; Stefan Berglund (Data Science in Practice, 2019)

An Infinite Replicated Softmax Model for Topic Modeling. - Nikolas Alexander Huhnstock; Alexander Karlsson; Maria Riveiro 001; H. Joe Steinhauer (MDAI, 2019)

Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach. - Omar Hamed; H. Joe Steinhauer (AAAI, 2021)

Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition. - Koen Vellenga; Alexander Karlsson; H. Joe Steinhauer; Göran Falkman; Anders Sjögren (ICMLC, 2023)

Topic modeling for anomaly detection in telecommunication networks. - H. Joe Steinhauer; Tove Helldin; Gunnar Mathiason; Alexander Karlsson (J. Ambient Intell. Humaniz. Comput., 2023)

Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition. - Koen Vellenga; H. Joe Steinhauer; Göran Falkman; Tomas Björklund (WACV, 2024)

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 (ANT/EDI40, 2025)

Designing deep neural networks for driver intention recognition. - Koen Vellenga; H. Joe Steinhauer; Alexander Karlsson; Göran Falkman; Asli Rhodin; Ashok Koppisetty (Eng. Appl. Artif. Intell., 2025)

Last Layer Hamiltonian Monte Carlo. - Koen Vellenga; H. Joe Steinhauer; Göran Falkman; Jonas Andersson 007; Anders Sjögren (CoRR, 2025)