Johan Schubert

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	All	Since 2018
Citations	1585	385
h-index	22	8
i10-index	45	7

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Hedvig Kjellström (Sidenbladh)Professor at KTH Royal Institute of Technology, SwedenVerified email at kth.se
Christian MårtensonFOIVerified email at foi.se
Linus LuotsinenScientist at the Swedish Defence Research Agency (FOI)Verified email at foi.se
Irfan YounasNational University of Computer and Emerging Sciences, Lahore, PakistanVerified email at nu.edu.pk
Farzad KamraniKTH Royal Institute of TechnologyVerified email at kth.se
Kathryn B. LaskeyProfessor of Systems Engineering and Operations Research, George Mason UniversityVerified email at gmu.edu
Rakesh NagiHead of ESD, SUTD; Willett Professor of ISE, UIUCVerified email at illinois.edu
John CantwellProfessor of Philosophy Royal Institute of Technology, SwedenVerified email at kth.se
Robert SuzicOwner of Enterprise Relational Soluitions (ERS) - SwedenVerified email at bearingpoint.com
Joel BrynielssonResearch Director @ FOI; Associate Professor @ KTHVerified email at foi.se
Erik BlaschAir Force Research LaboratoryVerified email at wpafb.af.mil
Paulo CostaAssociate Professor, George Mason UniversityVerified email at gmu.edu
Ronnie JohanssonSenior researcher, Swedish defense research agency (FOI)Verified email at foi.se
Didier Duboischercheur au CNRSVerified email at irit.fr
Daniel HuberSenior Systems Scientist, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Maja KarasaloResearch scientist, Goldman SachsVerified email at gs.com
Petter ÖgrenProfessor in Computer Science and Mobile Systems, KTH (division of Robotics, Perception and LearningVerified email at kth.se
Anne HåkanssonDocent in Computer Science, KTH, SwedenVerified email at kth.se
Henri PradeCNRS, France and University of New South WalesVerified email at TheMagicLab.org
Thierry DenoeuxProfessor, Université de technologie de Compiègne, Institut Universitaire de FranceVerified email at utc.fr

Johan Schubert

Research Director, Swedish Defence Research Agency (FOI); Associate Professor, KTH

Verified email at foi.se - Homepage

Artificial Intelligence Information Fusion Computer Science


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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	158	2011
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	106	2018
On nonspecific evidence J Schubert International Journal of Intelligent Systems 8 (6), 711-725, 1993	82	1993
Clustering decomposed belief functions using generalized weights of conflict J Schubert International journal of approximate reasoning 48 (2), 466-480, 2008	51	2008
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	51	2007
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	47*	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	47*	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	47*	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	47*	1994
Evidential force aggregation J Schubert Proceedings of the Sixth International Conference on Information Fusion …, 2003	46	2003
Dempster–Shafer clustering using Potts spin mean field theory M Bengtsson, J Schubert Soft Computing 5 (3), 215-228, 2001	46	2001
Specifying nonspecific evidence J Schubert International Journal of Intelligent Systems 11 (8), 525−563, 1996	44	1996
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	43	2004
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	37	1995
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	36	2018
Clustering belief functions based on attracting and conflicting metalevel evidence J Schubert Intelligent Systems for Information Processing: From Representation to …, 2003	36	2003
Clustering belief functions based on attracting and conflicting metalevel evidence J Schubert Proceedings of the Ninth International Conference on Information Processing …, 2002	36	2002
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	34	1993
The internal conflict of a belief function J Schubert Belief Functions: Theory and Applications, 169-177, 2012	32	2012

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