| 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 | 355 | 2013 |
| Maritime anomaly detection: A review M Riveiro, G Pallotta, M Vespe Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (5 …, 2018 | 178 | 2018 |
| A novel analytic framework of real-time multi-vessel collision risk assessment for maritime traffic surveillance R Zhen, M Riveiro, Y Jin Ocean Engineering 145, 492-501, 2017 | 147 | 2017 |
| 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 | 125 | 2008 |
| Evaluating the effect of visually represented geodata uncertainty on decision-making: systematic review, lessons learned, and recommendations C Kinkeldey, AM MacEachren, M Riveiro, J Schiewe Cartography and Geographic Information Science 44 (1), 1-21, 2017 | 117 | 2017 |
| Anomaly detection for road traffic: A visual analytics framework M Riveiro, M Lebram, M Elmer IEEE Transactions on intelligent transportation systems 18 (8), 2260-2270, 2017 | 95 | 2017 |
| “That's (not) the output I expected!” On the role of end user expectations in creating explanations of AI systems M Riveiro, S Thill Artificial Intelligence 298, 103507, 2021 | 76 | 2021 |
| Evaluation of uncertainty visualization techniques for information fusion M Riveiro 2007 10th International Conference on Information Fusion, 1-8, 2007 | 74 | 2007 |
| 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 | 69 | 2020 |
| Visual analytics for maritime anomaly detection MJ Riveiro Örebro universitet, 2011 | 62 | 2011 |
| Visual analytics for the detection of anomalous maritime behavior M Riveiro, G Falkman, T Ziemke 2008 12th International Conference Information Visualisation, 273-279, 2008 | 55 | 2008 |
| Understanding Indirect Causal Relationships in Node‐Link Graphs J Bae, T Helldin, M Riveiro Computer graphics forum 36 (3), 411-421, 2017 | 53 | 2017 |
| Transparency for Future Semi-Automated Systems: Effects of transparency on operator performance, workload and trust T Helldin Örebro Universitet, 2014 | 53 | 2014 |
| 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 | 51 | 2014 |
| Utilization and comparison of multi attribute decision making techniques to rank Bayesian network options A Karami | 43 | 2011 |
| 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 | 38 | 2009 |
| The role of interactive visualization in fostering trust in AI E Beauxis-Aussalet, M Behrisch, R Borgo, DH Chau, C Collins, D Ebert, ... IEEE Computer Graphics and Applications 41 (6), 7-12, 2021 | 33 | 2021 |
| Mining trackman golf data U Johansson, R König, P Brattberg, A Dahlbom, M Riveiro 2015 International Conference on Computational Science and Computational …, 2015 | 32 | 2015 |
| Explanation Methods for Bayesian Networks: review and application to a maritime scenario T Helldin, M Riveiro Proceedings of the 3rd Annual Skövde Workshop on Information Fusion Topics …, 2009 | 32 | 2009 |
| Data science in practice A Said, V Torra Springer, 2019 | 30 | 2019 |
Göran FalkmanUniversity of Skövde, SwedenVerified email at his.se