| On the definition of information fusion as a field of research H Boström, SF Andler, M Brohede, R Johansson, A Karlsson, J Van Laere, ... Institutionen för kommunikation och information, 2007 | 206 | 2007 |
| Deep Reinforcement Learning for Multiparameter Optimization in de novo Drug Design N Ståhl, G Falkman, A Karlsson, G Mathiason, J Bostrom Journal of chemical information and modeling 59 (7), 3166-3176, 2019 | 193 | 2019 |
| Evaluation of uncertainty quantification in deep learning N Ståhl, G Falkman, A Karlsson, G Mathiason International Conference on Information Processing and Management of …, 2020 | 47 | 2020 |
| Using recurrent neural networks with attention for detecting problematic slab shapes in steel rolling N Ståhl, G Mathiason, G Falkman, A Karlsson Applied Mathematical Modelling 70, 365-377, 2019 | 35 | 2019 |
| Driver intention recognition: State-of-the-art review K Vellenga, HJ Steinhauer, A Karlsson, G Falkman, A Rhodin, ... IEEE Open Journal of Intelligent Transportation Systems 3, 602-616, 2022 | 30 | 2022 |
| Characterization and Empirical Evaluation of Bayesian and Credal Combination Operators A Karlsson, R Johansson, SF Andler Journal of Advances in Information Fusion 6 (2), 150-166, 2011 | 26 | 2011 |
| Modeling uncertainty in bibliometrics and information retrieval: an information fusion approach A Karlsson, B Hammarfelt, HJ Steinhauer, G Falkman, N Olson, ... Scientometrics 102, 2255-2274, 2015 | 25 | 2015 |
| Evaluating precise and imprecise state-based anomaly detectors for maritime surveillance C Brax, A Karlsson, SF Andler, R Johansson, L Niklasson 2010 13th International Conference on Information Fusion, 1-8, 2010 | 20 | 2010 |
| Dependable and generic high-level information fusion: methods and algorithms for uncertainty management A Karlsson Institutionen för kommunikation och information, 2007 | 20 | 2007 |
| On evidential combination rules for ensemble classifiers H Bostrom, R Johansson, A Karlsson 2008 11th international conference on information fusion, 1-8, 2008 | 19 | 2008 |
| Mode tracking using multiple data streams MR Bouguelia, A Karlsson, S Pashami, S Nowaczyk, A Holst Information Fusion 43, 33-46, 2018 | 18 | 2018 |
| Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making A Karlsson Örebro universitet, 2010 | 18 | 2010 |
| Deep convolutional neural networks for the prediction of molecular properties: challenges and opportunities connected to the data N Ståhl, G Falkman, A Karlsson, G Mathiason, J Boström Journal of Integrative Bioinformatics 16 (1), 20180065, 2019 | 16 | 2019 |
| Uncertainty levels of second-order probability D Sundgren, A Karlsson Polibits, 5-11, 2013 | 16 | 2013 |
| A data analysis framework for biomedical big data: Application on mesoderm differentiation of human pluripotent stem cells B Ulfenborg, A Karlsson, M Riveiro, C Améen, K Åkesson, CX Andersson, ... Plos one 12 (6), e0179613, 2017 | 11 | 2017 |
| On the behavior of the robust Bayesian combination operator and the significance of discounting A Karlsson, R Johansson, SF Andler 6th International Symposium on Imprecise Probability: Theories and …, 2009 | 11 | 2009 |
| Root-cause localization using restricted boltzmann machines HJ Steinhauer, A Karlsson, G Mathiason, T Helldin 2016 19th international conference on information fusion (FUSION), 248-255, 2016 | 10 | 2016 |
| An empirical comparison of Bayesian and credal networks for dependable high-level information fusion A Karlsson, R Johansson, SF Andler 2008 11th International Conference on Information Fusion, 1-8, 2008 | 10 | 2008 |
| Topic modeling for anomaly detection in telecommunication networks HJ Steinhauer, T Helldin, G Mathiason, A Karlsson Journal of Ambient Intelligence and Humanized Computing, 1-12, 2023 | 9 | 2023 |
| Multi-assignment clustering: Machine learning from a biological perspective B Ulfenborg, A Karlsson, M Riveiro, CX Andersson, P Sartipy, ... Journal of biotechnology 326, 1-10, 2021 | 9 | 2021 |
