J. Schubert

发表

Solving Battalion Rescheduling Problem Using Multi-objective Genetic Algorithms

Rassul Ayani, Farshad Moradi, Anne Håkansson, 2013, AsiaSim.

Entropy-Based Counter-Deception in Information Fusion

Johan Schubert, J. Schubert, 2016, BELIEF.

Specifying nonspecific evidence

J. Schubert, 1996 .

Sequential clustering withparticle filters - Estimating the numberofclusters fromdata

H. Sidenbladh, J. Schubert, 2005 .

A neural network and iterative optimization hybrid for Dempster-Shafer clustering

Johan Schubert, J. Schubert, 2003, ArXiv.

Decision support for simulation-based operation planning

Johan Schubert, Pontus Hörling, J. Schubert, 2016, SPIE Defense + Security.

Simulation-based Defense Planning

F. Moradi, J. Schubert, 2014 .

Developing Horizon Scanning Methods for the Discovery of Scientific Trends

Johan Schubert, Maja Karasalo, J. Schubert, 2019, 2019 International Conference on Document Analysis and Recognition (ICDAR).

Evidential force aggregation

Johan Schubert, J. Schubert, 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

Simulation-based decision support for evaluating operational plans

Linus J. Luotsinen, Johan Schubert, Farshad Moradi, 2015 .

Managing inconsistent intelligence

Johan Schubert, J. Schubert, 2000, Proceedings of the Third International Conference on Information Fusion.

Constructing Multiple Frames of Discernment for Multiple Subproblems

Johan Schubert, J. Schubert, 2010, IPMU.

Sequential clustering with particle filters-estimating the number of clusters from data

H. Sidenbladh, J. Schubert, Hedvig Sidenbladh, 2005, 2005 7th International Conference on Information Fusion.

Constructing and Reasoning about Alternative Frames of Discernment

J. Schubert, 2010 .

Possibilities and Challenges for Artificial Intelligence in Military Applications

P. Svenmarck, J. Schubert, L. Luotsinen, 2018 .

Managing decomposed belief functions

Johan Schubert, J. Schubert, 2006 .

Cluster-based Specification Techniques in Dempster-Shafer Theory

Johan Schubert, J. Schubert, 1995, ECSQARU.

Artificial Intelligence for Decision Support in Command and Control Systems

P. Svenmarck, J. Schubert, Mattias Nilsson, 2018 .

2007 I D C Information, Decision and Control

F. Allgower, David Kershaw, Branko Ristic, 2007 .

Specifying nonspecific evidence

J. Schubert, 1996, Int. J. Intell. Syst..

The IFD03 Information Fusion Demonstrator -- requirements, methodology, design, and experiences

Simon Ahlberg, Per Svensson, Pontus Svenson, 2004 .

Modelling a Simulation-Based Decision Support System for Effects-Based Planning

Farshad Moradi, Johan Schubert, F. Moradi, 2009 .

econstor Make Your Publications Visible . A Service of zbw

F. Moradi, A. Linderhed, J. Schubert, 1999 .

Conflict management in Dempster-Shafer theory using the degree of falsity

Johan Schubert, J. Schubert, 2011, Int. J. Approx. Reason..

On rho in a Decision-Theoretic Apparatus of Dempster-Shafer Theory

Johan Schubert, J. Schubert, 2003, ArXiv.

On varrho in a decision-theoretic apparatus of Dempster-Shafer theory

Johan Schubert, J. Schubert, 1995, Int. J. Approx. Reason..

Methodology for guaranteed and robust high level fusion performance: a literature study

Per Svensson, Johan Schubert, Swedish Defence, 2005 .

Comparing future situation pictures

P. Svenson, H. Sidenbladh, J. Schubert, 2005, 2005 7th International Conference on Information Fusion.

Fast Dempster-Shafer clustering using a neural network structure

Johan Schubert, J. Schubert, 2003, ArXiv.

Simultaneous Dempster-Shafer clustering and gradual determination of number of clusters using a neural network structure

Johan Schubert, J. Schubert, 2003, 1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).

An information fusion demonstrator for tactical intelligence processing in network-based defense

Hedvig Kjellström, Simon Ahlberg, Per Svensson, 2007, Inf. Fusion.

Partial Ranking by Incomplete Pairwise Comparisons Using Preference Subsets

Johan Schubert, J. Schubert, 2014, Belief Functions.

System prediction combining state estimation with an evidential influence diagram

Pontus Svenson, Christian Mårtenson, Johan Schubert, 2009, 2009 12th International Conference on Information Fusion.

Issues of Uncertainty Analysis in High-Level Information Fusion

Kathryn B. Laskey, Pierre Valin, Gee Wah Ng, 2012 .

The IFD03 Information Fusion Demonstrator

Simon Ahlberg, Per Svensson, Pontus Svenson, 2004 .

The IFD03 Information Fusion Demonstrator -- requirements, methodology, design, and experiences

H. Sidenbladh, P. Svensson, J. Schubert, 2004 .

A comparative study between using A*-search, Latin Hypercube and genetic algorithms in design of experiment for simulation of military operational plans

Johan Schubert, Pontus Hörling, J. Schubert, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A stochastic discrete event simulator for effects-based planning

Johan Schubert, Hirad Asadi, J. Schubert, 2013, 2013 Winter Simulations Conference (WSC).

Learning boundaries on military operational plans from simulation data

Johan Schubert, Anna Linderhed, J. Schubert, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Simulation-based decision support for effects-based planning

Farshad Moradi, Johan Schubert, Pontus Hörling, 2010, 2010 IEEE International Conference on Systems, Man and Cybernetics.

Multi-level subjective effects-based assessment

Johan Schubert, J. Schubert, 2010, 2010 13th International Conference on Information Fusion.

Clustering belief functions based on attracting and conflicting metalevel evidence using Potts spin mean field theory

Johan Schubert, J. Schubert, 2003, Inf. Fusion.

Dempster–Shafer clustering using Potts spin mean field theory

Mats Bengtsson, Johan Schubert, J. Schubert, 2001, Soft Comput..

Explaining the Impact of Actions

Johan Schubert, Pontus Hörling, J. Schubert, 2012 .

Morphological refinement of effect based planning

Johan Schubert, Johan Walter, Mattias Wallen, 2007 .