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Maria Riveiro
Maria Riveiro
Professor of Computer Science, Jönköping University
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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
3152013
Maritime anomaly detection: A review
M Riveiro, G Pallotta, M Vespe
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (5 …, 2018
1372018
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
1242008
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
1192017
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
1082017
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
802017
Evaluation of uncertainty visualization techniques for information fusion
M Riveiro
2007 10th International Conference on Information Fusion, 1-8, 2007
772007
Visual analytics for maritime anomaly detection
MJ Riveiro
Örebro universitet, 2011
602011
Visual analytics for the detection of anomalous maritime behavior
M Riveiro, G Falkman, T Ziemke
2008 12th International Conference Information Visualisation, 273-279, 2008
522008
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
512020
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
472014
“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
442021
Understanding Indirect Causal Relationships in Node‐Link Graphs
J Bae, T Helldin, M Riveiro
Computer graphics forum 36 (3), 411-421, 2017
422017
Utilization and comparison of multi attribute decision making techniques to rank bayesian network options
A Karami
372011
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
352009
The role of visualization and interaction in maritime anomaly detection
M Riveiro, G Falkman
Visualization and Data Analysis 2011 7868, 228-239, 2011
322011
VISAD: an interactive and visual analytical tool for the detection of behavioral anomalies in maritime traffic data
M Riveiro, G Falkman, T Ziemke, H Warston
Visual Analytics for Homeland Defense and Security 7346, 60-70, 2009
302009
Supporting maritime situation awareness using self organizing maps and gaussian mixture models
M Riveiro, F Johansson, G Falkman, T Ziemke
Frontiers in Artificial Intelligence and Applications 173, 84, 2008
292008
Mining trackman golf data
U Johansson, R König, P Brattberg, A Dahlbom, M Riveiro
2015 International Conference on Computational Science and Computational …, 2015
282015
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
282009
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Artiklar 1–20