On evidential combination rules for ensemble classifiers. - Henrik Boström; Ronnie Johansson; Alexander Karlsson 001 (FUSION, 2008)

An empirical comparison of Bayesian and credal networks for dependable high-level information fusion. - Alexander Karlsson 001; Ronnie Johansson; Sten F. Andler (FUSION, 2008)

A study on class-specifically discounted belief for ensemble classifiers. - Ronnie Johansson; Henrik Boström; Alexander Karlsson 001 (MFI, 2008)

Imprecise Probability as an Approach to Improved Dependability in High-Level Information Fusion. - Alexander Karlsson 001; Ronnie Johansson; Sten F. Andler (Interval / Probabilistic Uncertainty and Non-Classical Logics, 2008)

Evaluating precise and imprecise State-Based Anomaly detectors for maritime surveillance. - Christoffer Brax; Alexander Karlsson 001; Sten F. Andler; Ronnie Johansson; Lars Niklasson (FUSION, 2010)

An empirical comparison of Bayesian and credal combination operators. - Alexander Karlsson 001; Ronnie Johansson; Sten F. Andler (FUSION, 2010)

An Empirical Comparison of Bayesian and Credal Set Theory for Discrete State Estimation. - Alexander Karlsson 001; Ronnie Johansson; Sten F. Andler (IPMU (1), 2010)

Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making. - Alexander Karlsson 001 (2010)

Characterization and Empirical Evaluation of Bayesian and Credal Combination Operators. - Alexander Karlsson 001; Ronnie Johansson; Sten F. Andler (J. Adv. Inf. Fusion, 2011)

On Dependence in Second-Order Probability. - David Sundgren; Alexander Karlsson 001 (SUM, 2012)

Traceable uncertainty. - H. Joe Steinhauer; Alexander Karlsson 001; Sten F. Andler (FUSION, 2013)

Traceable Uncertainty for Threat Evaluation in Air to Ground Scenarios. - H. Joe Steinhauer; Alexander Karlsson 001 (SCAI, 2013)

Uncertainty Levels of Second-Order Probability. - David Sundgren; Alexander Karlsson 001 (Polibits, 2013)

Decision Making with Hierarchical Credal Sets. - Alessandro Antonucci 001; Alexander Karlsson 001; David Sundgren (IPMU (3), 2014)

Evidential Combination Operators for Entrapment Prediction in Advanced Driver Assistance Systems. - Alexander Karlsson 001; Anders Dahlbom; Hui Zhong (ISMIS, 2014)

Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach. - Alexander Karlsson 001; 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 001; Gunnar Mathiason; Tove Helldin (FUSION, 2016)

A framework for identifying and evaluating technologies of interest for effective business strategy: Using text analytics to augment technology forecasting. - Rakesh Rana; Alexander Karlsson 001; Göran Falkman (ISCBI, 2017)

Topic modeling for situation understanding in telecommunication networks. - H. Joe Steinhauer; Tove Helldin; Alexander Karlsson 001; Gunnar Mathiason (ITNAC, 2017)

Situation Awareness in Telecommunication Networks Using Topic Modeling. - Tove Helldin; H. Joe Steinhauer; Alexander Karlsson 001; Gunnar Mathiason (FUSION, 2018)

A Self-Organizing Ensemble of Deep Neural Networks for the Classification of Data from Complex Processes. - Niclas Ståhl; Göran Falkman; Gunnar Mathiason; Alexander Karlsson 001 (IPMU (3), 2018)

Short Text Topic Modeling to Identify Trends on Wearable Bio-Sensors in Different Media Type. - Juhee Bae; Jesper Havsol; Martin Karpefors; Alexander Karlsson 001; Gunnar Mathiason (ISCBI, 2018)

Evaluation of the Dirichlet Process Multinomial Mixture Model for Short-Text Topic Modeling. - Alexander Karlsson 001; Denio Duarte; Gunnar Mathiason; Juhee Bae (ISCBI, 2018)

Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. - Niclas Ståhl; Göran Falkman; Alexander Karlsson 001; Gunnar Mathiason; Jonas Boström (PACBB, 2018)

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

Mode tracking using multiple data streams. - Mohamed-Rafik Bouguelia; Alexander Karlsson 001; Sepideh Pashami; Slawomir Nowaczyk; Anders Holst (Inf. Fusion, 2018)

Complex Data Analysis. - Juhee Bae; Alexander Karlsson 001; Jonas Mellin; Niclas Ståhl; Vicenç Torra (Data Science in Practice, 2019)

Information Fusion. - H. Joe Steinhauer; Alexander Karlsson 001 (Data Science in Practice, 2019)

Artificial Intelligence. - Vicenç Torra; Alexander Karlsson 001; H. Joe Steinhauer; Stefan Berglund (Data Science in Practice, 2019)

Eliciting Structures in Data. - Ahmad Al-Shishtawy; Juhee Bae; Mohamed-Rafik Bouguelia; Göran Falkman; Sarunas Girdzijauskas; Olof Gönerup; Anders Holst; Alexander Karlsson 001; Slawomir Nowaczyk; Sepideh Pashami; Alan Said; Amira A. Soliman El Hosary (IUI Workshops, 2019)

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

Interactive Clustering for Exploring Multiple Data Streams at Different Time Scales and Granularity. - Anders Holst; Juhee Bae; Alexander Karlsson 001; Mohamed-Rafik Bouguelia (IDM@WSDM, 2019)

Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design. - Niclas Ståhl; Göran Falkman; Alexander Karlsson 001; Gunnar Mathiason; Jonas Boström (J. Chem. Inf. Model., 2019)

Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data. - Niclas Ståhl; Göran Falkman; Alexander Karlsson 001; Gunnar Mathiason; Jonas Boström (J. Integr. Bioinform., 2019)

Evaluation of Uncertainty Quantification in Deep Learning. - Niclas Ståhl; Göran Falkman; Alexander Karlsson 001; Gunnar Mathiason (IPMU (1), 2020)

Multi-Machine Gaussian Topic Modeling for Predictive Maintenance. - Alexander Karlsson 001; Ebru Turanoglu Bekar; Anders Skoogh (IEEE Access, 2021)

Surrogate Deep Learning to Estimate Uncertainties for Driver Intention Recognition. - Koen Vellenga; Alexander Karlsson 001; 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 001 (J. Ambient Intell. Humaniz. Comput., 2023)

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 001; Paul Hemeren (ANT/EDI40, 2025)

Designing deep neural networks for driver intention recognition. - Koen Vellenga; H. Joe Steinhauer; Alexander Karlsson 001; Göran Falkman; Asli Rhodin; Ashok Koppisetty (Eng. Appl. Artif. Intell., 2025)