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Mihai C. Florea  - - - 
Top co-authors See all
Branko Ristic

60 shared publications

ISR Division, Defence Science and Technology Organisation, Melbourne, Australia

Basel Solaiman

39 shared publications

ITI Laboratoire, IMT Atlantique, Brest, France

Anne-Laure Jousselme

19 shared publications

Defence R&D Canada–Valcartier

Mihai C. Florea

7 shared publications

Thales Canada Inc., Land & Joint Systems Division, Québec, Canada

Éloi Bossé

7 shared publications

Thales Canada Systems Division

Publication Record
Distribution of Articles published per year 
(2006 - 2015)
Total number of journals
published in
Article 4 Reads 3 Citations A conceptual definition of a holonic processing framework to support the design of information fusion systems B. Solaiman, É. Bossé, L. Pigeon, D. Guériot, M.C. Florea Published: 01 January 2015
Information Fusion, doi: 10.1016/j.inffus.2013.08.004
DOI See at publisher website
Article 0 Reads 0 Citations Addendum for “The TBM global distance measure for the association of uncertain combat ID declarations” Branko Ristić, Mihai Cristian Florea, Éloi Bossé Published: 01 July 2014
Information Fusion, doi: 10.1016/j.inffus.2013.10.009
DOI See at publisher website
PROCEEDINGS-ARTICLE 0 Reads 6 Citations Context-based information quality for sequential decision making G. Rogova, M. Hadzagic, M. St-Hilaire, M. C. Florea, P. Vali... Published: 01 February 2013
2013 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), doi: 10.1109/cogsima.2013.6523818
DOI See at publisher website
Article 0 Reads 1 Citation Dynamic estimation of evidence discounting rates based on information credibility M. C. Florea, A.-L. Jousselme, E. Bosse Published: 01 October 2010
RAIRO - Operations Research, doi: 10.1051/ro/2010022
DOI See at publisher website
BOOK-CHAPTER 6 Reads 0 Citations A Web–Service Approach for Multi–Sensor Data Fusion and Geographic Information Systems Mihai Cristian Florea, Nicolas Duclos-Hindie, Éloi Bossé, Pi... Published: 07 April 2009
Advances in Cartography and GIScience, doi: 10.1007/978-3-642-00304-2_14
DOI See at publisher website
PREPRINT 1 Read 0 Citations Adaptative combination rule and proportional conflict redistribution rule for information fusion M. C. Florea, J. Dezert, P. Valin, F. Smarandache, Anne-Laur... Published: 11 April 2006
ABS Show/hide abstract
This paper presents two new promising rules of combination for the fusion of uncertain and potentially highly conflicting sources of evidences in the framework of the theory of belief functions in order to palliate the well-know limitations of Dempster's rule and to work beyond the limits of applicability of the Dempster-Shafer theory. We present both a new class of adaptive combination rules (ACR) and a new efficient Proportional Conflict Redistribution (PCR) rule allowing to deal with highly conflicting sources for static and dynamic fusion applications.