| 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 | 289 | 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 | 228 | 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 | 188 | 2013 |
| 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 | 130 | 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 | 116 | 2008 |
| 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 | 113 | 2019 |
| Detection of vessel anomalies-a bayesian network approach F Johansson, G Falkman 2007 3rd International Conference on Intelligent Sensors, Sensor Networks …, 2007 | 97 | 2007 |
| Sequential conformal anomaly detection in trajectories based on hausdorff distance R Laxhammar, G Falkman 14th International Conference on Information Fusion, 1-8, 2011 | 78 | 2011 |
| Information visualisation in clinical Odontology: multidimensional analysis and interactive data exploration G Falkman Artificial Intelligence in Medicine 22 (2), 133-158, 2001 | 70 | 2001 |
| 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 | 67 | 2008 |
| 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 | 54 | 2010 |
| Visual analytics for the detection of anomalous maritime behavior M Riveiro, G Falkman, T Ziemke 2008 12th International Conference Information Visualisation, 273-279, 2008 | 50 | 2008 |
| Inductive conformal anomaly detection for sequential detection of anomalous sub-trajectories R Laxhammar, G Falkman Annals of Mathematics and Artificial Intelligence 74, 67-94, 2015 | 48 | 2015 |
| 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 | 45 | 2014 |
| A comparison between two approaches to threat evaluation in an air defense scenario F Johansson, G Falkman Modeling Decisions for Artificial Intelligence: 5th International Conference …, 2008 | 44 | 2008 |
| 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 | 40 | 2020 |
| 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 | 33 | 2009 |
| Data mining in oral medicine using decision trees FS Khan, RM Anwer, O Torgersson, G Falkman International Journal of Biological and Medical Sciences 4 (3), 2009 | 33 | 2009 |
| Real-time Allocation of Firing Units To Hostile Targets. F Johansson, G Falkman J. Adv. Inf. Fusion 6 (2), 187-199, 2011 | 32 | 2011 |
| The role of visualization and interaction in maritime anomaly detection M Riveiro, G Falkman Visualization and Data Analysis 2011 7868, 228-239, 2011 | 30 | 2011 |
Maria RiveiroProfessor of Computer Science, Jönköping UniversityVerifierad e-postadress på ju.se
