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Johan Schubert
Johan Schubert
Research Director, Swedish Defence Research Agency (FOI); Associate Professor, KTH
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Conflict management in Dempster–Shafer theory using the degree of falsity
J Schubert
International Journal of Approximate Reasoning 52 (3), 449-460, 2011
1602011
Possibilities and challenges for artificial intelligence in military applications
P Svenmarck, L Luotsinen, M Nilsson, J Schubert
Proceedings of the NATO Big Data and Artificial Intelligence for Military …, 2018
1212018
On nonspecific evidence
J Schubert
International Journal of Intelligent Systems 8 (6), 711-725, 1993
821993
Clustering decomposed belief functions using generalized weights of conflict
J Schubert
International journal of approximate reasoning 48 (2), 466-480, 2008
532008
An information fusion demonstrator for tactical intelligence processing in network-based defense
S Ahlberg, P Hörling, K Johansson, K Jöred, H Kjellström, C Mårtenson, ...
Information Fusion 8 (1), 84-107, 2007
522007
Evidential force aggregation
J Schubert
Proceedings of the Sixth International Conference on Information Fusion …, 2003
462003
Dempster–Shafer clustering using Potts spin mean field theory
M Bengtsson, J Schubert
Soft Computing 5 (3), 215-228, 2001
462001
Cluster-based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of MultipleTarget Tracks (Thesis Abstract)
J Schubert
AI Communications 8 (2), 107−110, 1995
46*1995
Cluster-based specification techniques in Dempster-Shafer theory for an evidential intelligence analysis of multiple target tracks (thesis abstract)
J Schubert
Australian Journal of Intelligent Information Processing Systems 2 (1), 70, 1995
46*1995
Cluster-Based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of Multiple Target Tracks
J Schubert
Royal Institute of Technology, Sweden., 1994
46*1994
Cluster-Based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of Multiple Target Tracks
J Schubert
Royal Institute of Technology (KTH), Stockholm, Sweden., 1994
46*1994
Clustering belief functions based on attracting and conflicting metalevel evidence using Potts spin mean field theory
J Schubert
Information Fusion 5 (4), 309-318, 2004
442004
Specifying nonspecific evidence
J Schubert
International Journal of Intelligent Systems 11 (8), 525−563, 1996
441996
Artificial intelligence for decision support in command and control systems
J Schubert, J Brynielsson, M Nilsson, P Svenmarck
Proceedings of the 23rd International Command and Control Research …, 2018
432018
Issues of Uncertainty Analysis in High-Level Information Fusion
E Blasch, PCG Costa, KB Laskey, D Stampouli, GW Ng, J Schubert, ...
Proceedings of the 15th International Conference on Information Fusion …, 2012
39*2012
On ϱ in a decision-theoretic apparatus of Dempster-Shafer theory
J Schubert
International Journal of Approximate Reasoning 13 (3), 185-200, 1995
381995
Clustering belief functions based on attracting and conflicting metalevel evidence
J Schubert
Intelligent Systems for Information Processing: From Representation to …, 2003
362003
Clustering belief functions based on attracting and conflicting metalevel evidence
J Schubert
Proceedings of the Ninth International Conference on Information Processing …, 2002
362002
The internal conflict of a belief function
J Schubert
Belief Functions: Theory and Applications, 169-177, 2012
322012
Dempster's rule for evidence ordered in a complete directed acyclic graph
U Bergsten, J Schubert
International Journal of Approximate Reasoning 9 (1), 37-73, 1993
321993
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Artículos 1–20