| Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving T Helldin, G Falkman, M Riveiro, S Davidsson Proceedings of the 5th international conference on automotive user …, 2013 | 407 | 2013 |
| Anomaly detection in sea traffic-a comparison of the gaussian mixture model and the kernel density estimator R Laxhammar, G Falkman, E Sviestins 2009 12th international conference on information fusion, 756-763, 2009 | 288 | 2009 |
| Online learning and sequential anomaly detection in trajectories R Laxhammar, G Falkman IEEE transactions on pattern analysis and machine intelligence 36 (6), 1158-1173, 2013 | 254 | 2013 |
| 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 | 245 | 2019 |
| A Bayesian network approach to threat evaluation with application to an air defense scenario F Johansson, G Falkman 2008 11th International conference on information fusion, 1-7, 2008 | 160 | 2008 |
| Improving maritime anomaly detection and situation awareness through interactive visualization M Riveiro, G Falkman, T Ziemke 2008 11th International Conference on Information Fusion, 1-8, 2008 | 127 | 2008 |
| Sequential conformal anomaly detection in trajectories based on hausdorff distance R Laxhammar, G Falkman 14th international conference on information fusion, 1-8, 2011 | 106 | 2011 |
| Detection of vessel anomalies-a Bayesian network approach F Johansson, G Falkman 2007 3rd International Conference on Intelligent Sensors, Sensor Networks …, 2007 | 106 | 2007 |
| Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories R Laxhammar, G Falkman Annals of Mathematics and Artificial Intelligence 74 (1), 67-94, 2015 | 95 | 2015 |
| Interactive clustering: A comprehensive review J Bae, T Helldin, M Riveiro, S Nowaczyk, MR Bouguelia, G Falkman ACM Computing Surveys (CSUR) 53 (1), 1-39, 2020 | 88 | 2020 |
| Information visualisation in clinical Odontology: multidimensional analysis and interactive data exploration G Falkman Artificial Intelligence in Medicine 22 (2), 133-158, 2001 | 75 | 2001 |
| Conformal prediction for distribution-independent anomaly detection in streaming vessel data R Laxhammar, G Falkman Proceedings of the first international workshop on novel data stream pattern …, 2010 | 72 | 2010 |
| SOMWeb: a semantic web-based system for supporting collaboration of distributed medical communities of practice G Falkman, M Gustafsson, M Jontell, O Torgersson Journal of medical Internet research 10 (3), e1059, 2008 | 72 | 2008 |
| Evaluation of uncertainty quantification in deep learning N Ståhl, G Falkman, A Karlsson, G Mathiason International Conference on Information Processing and Management of …, 2020 | 68 | 2020 |
| A comparison between two approaches to threat evaluation in an air defense scenario F Johansson, G Falkman International Conference on Modeling Decisions for Artificial Intelligence …, 2008 | 60 | 2008 |
| Effects of visualizing uncertainty on decision-making in a target identification scenario M Riveiro, T Helldin, G Falkman, M Lebram Computers & graphics 41, 84-98, 2014 | 56 | 2014 |
| Visual analytics for the detection of anomalous maritime behavior M Riveiro, G Falkman, T Ziemke 2008 12th International Conference Information Visualisation, 273-279, 2008 | 56 | 2008 |
| 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 | 53 | 2022 |
| 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 | 41 | 2019 |
| Interactive visualization of normal behavioral models and expert rules for maritime anomaly detection M Riveiro, G Falkman 2009 Sixth international conference on computer graphics, imaging and …, 2009 | 39 | 2009 |
Maria RiveiroProfessor of Computer Science, Jönköping UniversityVerified email at ju.se
