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Totalförsvarets forskningsinstitut

Vetenskapliga publikationer beslutsstödssystem

 

2018

Fernquist, J., Kaati, L. and Schroeder, R.
Political Bots and the Swedish General ElectionPDF, in Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics (ISI 2018), Miami, USA, 9−11 November 2018. IEEE, Piscataway, NJ, 2018, pp. 124−129. (FOI-S--5937--SE, Swedish Defence Research Agency, 2018)

Schubert, J., Brynielsson, J., Nilsson, M. and Svenmarck, P.
Artificial intelligence for decision support in command and control systemsPDF, in Proceedings of the 23rd International Command and Control Research & Technology Symposium, Pensacola, USA, 6−9 November 2018. IC2I, Washington, DC, 2018, Paper 30. (FOI-S--5904--SE, Swedish Defence Research Agency, 2018)

Younas, I., Kamrani, F., Bashir, M. and Schubert, J. 
Efficient genetic algorithms for optimal assignment of tasks to teams of agentsPDF
Neurocomputing 314 (2018) 409−428. (FOI-S--5868--SE, Swedish Defence Research Agency, 2018)

Svenmarck, P., Luotsinen, L., Nilsson, M. and Schubert, J.
Possibilities and challenges for artificial intelligence in military applicationsPDF, in Proceedings of the NATO Big Data and Artificial Intelligence for Military Decision Making Specialists' Meeting (IST-160), Bordeaux, France, 30 May−1 June 2018. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2018, Paper 1-5, pp. 1−16. (FOI-S--5864--SE, Swedish Defence Research Agency, 2018)

2017

Schubert, J. 
Counter-deception in information fusionPDF, International Journal of Approximate Reasoning 91 (2017) 152−159. (FOI-S--5735--SE, Swedish Defence Research Agency)

Hammar, P., Lindquist, S. and Lindskog, P. J.
Leverage the training effect in staff training by automated reportingPDF, in Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2017),
Orlando, USA, 27 november−1 december 2017, paper 17133, pp. 1−12.
(FOI-S--5820--SE, Swedish Defence Research Agency, 2017)

Johansson, R., Hammar, P. and Thorén, P.
On simulation-based adaptive UAS behavior during jammingPDF, in Proceedings of the 4th International Workshop on Research, Education and Development on Unmanned Aerial Systems (RED-UAS 2017), Linköping, Sweden, 3−5 October 2017, pp. 78−83.
(FOI-S--5739--SE, Swedish Defence Research Agency, 2017)

Schubert, J., Seichter, S., Zimmermann, A., Huber, D., Kallfass, D. and Svendsen, G. K.
Data farming decision support for operation planningPDF, in Proceedings of the Eleventh Operations Research and Analysis Conference, London, UK, 2−3 October 2017. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2017, Paper 7.2, pp. 1−18.
(FOI-S--5865--SE, Swedish Defence Research Agency, 2017)

2016

Lilja, H., Brynielsson, J. and Lindquist, S.
Identifying radio communication inefficiency to improve air combat training debriefingsPDF, in Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2016), Orlando, USA, 28 November−2 December 2016, paper 16287, pp. 1−12. (FOI-S--5617--SE, Swedish Defence Research Agency, 2016)

Brynielsson, J., Lindquist, S. and Luotsinen, L.
Efficient implementation of simulation support for tactical-level military trainingPDF, in Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2016), Orlando, USA, 28 November−2 December 2016, paper 16292, pp. 1−12. (FOI-S--5618--SE, Swedish Defence Research Agency, 2016)

Brynielsson, J., Franke, U., Tariq, M. A. and Varga, S.
Using cyber defense exercises to obtain additional data for attacker profiling PDF, in Proceedings of the 14th IEEE International Conference on Intelligence and Security Informatics (ISI 2016), Tucson, USA, 28−30 September 2016. IEEE, Piscataway, NJ, 2016, pp. 37−42. (FOI-S--5621--SE, Swedish Defence Research Agency, 2016)

Figea, L., Kaati, L. and Scrivens, R.
Measuring online affects in a white supremacy forumPDF, in Proceedings of the 14th IEEE International Conference on Intelligence and Security Informatics (ISI 2016), Tucson, USA, 28−30 September 2016. IEEE, Piscataway, NJ, 2016, pp. 85−90. (FOI-S--5654--SE, Swedish Defence Research Agency, 2017)

Kaati, L., Shrestha , A., Cohen, K. and Lindquist, S.
Automatic detection of xenophopic narratives: a case study on Swedish alternative mediaPDF, in Proceedings of the 14th IEEE International Conference on Intelligence and Security Informatics (ISI 2016), Tucson, USA, 28−30 September 2016. IEEE, Piscataway, NJ, 2016, pp. 121−126. (FOI-S--5655--SE, Swedish Defence Research Agency, 2017)

Schubert, J.
Entropy-based counter-deception in information fusionPDF, in Belief Functions: Theory and Applications, J. Vejnarová, V. Kratochvíl (Eds.), Proceedings of the Fourth International Conference on Belief Functions (BELIEF 2016), Prague, Czech Republic, 21−23 September 2016. Springer (LNAI 9861), Cham, 2016, pp. 174−181. (FOI-S--5508--SE, Swedish Defence Research Agency, 2016)
 Winner of IJAR Best Paper Award

Granåsen, M. and Karasalo, M.
Methodology and tool to facilitate structured analysis of multiple hypothesesPDF, in Proceedings of the 2016 European Intelligence and Security Informatics Conference (EISIC 2016), Uppsala, Sweden, 17−19 August 2016. IEEE, Piscataway, NJ, 2016, pp. 52−59. (FOI-S--5529--SE, Swedish Defence Research Agency, 2016)

Andersson, M., Johansson, R., Stenborg, K.-G., Forsgren, R., Cane, T., Taberski, G., Patino, L. and Ferryman, J.
The IPATCH system for maritime surveillance and piracy threat classificationPDF, in Proceedings of the 2016 European Intelligence and Security Informatics Conference (EISIC 2016), Uppsala, Sweden, 17−19 August 2016. IEEE, Piscataway, NJ, 2016, p. 200. (FOI-S--5534--SE, Swedish Defence Research Agency, 2016)

Gisslén, L. and Horndahl, A.
A quantitative approach to risk and cost assessment in supply chain managementPDF, in Proceedings of the 2016 European Intelligence and Security Informatics Conference (EISIC 2016), Uppsala, Sweden, 17−19 August 2016. IEEE, Piscataway, NJ, 2016, pp. 180−183. (FOI-S--5494--SE, Swedish Defence Research Agency, 2016)

Brynielsson, J. and Johansson, F.
Proceedings of the 2016 European Intelligence and Security Informatics Conferencelänk till annan webbplats, öppnas i nytt fönster (EISIC 2016), Uppsala, Sweden, 17−19 August 2016. IEEE, Piscataway, NJ, 2016. (FOI-S--5620--SE, Swedish Defence Research Agency, 2016)

Kaati, L., Shrestha, A. and Cohen, K.
Linguistic analysis of lone offender manifestosPDF, in Proceedings of the 2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF), Vancouver, Canada, 12−14 June 2016. IEEE, Piscataway, NJ, 2016, pp. 1−8. (FOI-S--5650--SE, Swedish Defence Research Agency, 2017)

Kaati, L., Johansson, F. and Forsman, E.
Semantic technologies for detecting names of new drugs on darknetsPDF, in Proceedings of the 2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF), Vancouver, Canada, 12−14 June 2016. IEEE, Piscataway, NJ, 2016, pp. 1−7. (FOI-S--5652--SE, Swedish Defence Research Agency, 2017)

Brynielsson, J., Franke, U. and Varga, S.
Cyber situational awareness testingPDF, in Combatting Cybercrime and Cyberterrorism: Challenges, Trends and Priorities, B. Akhgar, B. Brewster (Eds.). Springer, Cham, 2016, pp. 209−233. (FOI-S--5619--SE, Swedish Defence Research Agency, 2016)

Schubert, J. and Hörling, P.
Decision support for simulation-based operation planningPDF, in Modeling and Simulation for Defense and Commercial Systems and Applications XI, S. Harkrider, A. L. Paolini (Eds.), Proceedings of SPIE Vol 9848, Baltimore, USA, 18 April 2016. SPIE, Billingham, WA, 2016, paper 984805. (FOI-S--5439--SE, Swedish Defence Research Agency, 2016)

Johansson, F., Kaati, L. and Sahlgren, M.
Detecting linguistic markers of violent extremism in online environmentsPDF, in Combating Violent Extremism and Radicalization in the Digital Era, M. Khader, L.S. Neo, G. Ong, E.T. Mingyi, J. Chin (Eds.). Information Science Reference (ARCS), Hershey, PA, 2016, pp. 374−390. (FOI-S--5452--SE, Swedish Defence Research Agency, 2016)

Kaati, L. and Johansson, F.
Countering lone actor terrorism: weak signals and online activitiesPDF, in Understanding Lone Actor Terrorism: Past experience, future outlook, and response strategies, M. Fredholm (Ed.). Routledge, Oxon, UK, 2016, pp. 266−279. (FOI-S--5372--SE, Swedish Defence Research Agency, 2016)

2015

Kaati, L., Omer, E., Prucha , N. and Shrestha, A.
Detecting multipliers of jihadism on TwitterPDF, in Proceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW), Atlantic City, USA, 14−17 November 2015. IEEE, Piscataway, NJ, 2015, pp. 954−960. (FOI-S--5656--SE, Swedish Defence Research Agency, 2017)

Horndahl, A. and Gisslén, L.
Dynamic and context aware reporting of observations from the field for situation assessment in crisis situation: an integrated system for information-gathering and sense-makingPDF, in Information Systems for Crisis Response and Management in Mediterranean Countries, N. Bellamine Ben Saoud, C. Adam, C. Hanachi (Eds.), Proceedings of the Second International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries (ISCRAM-med 2015), Tunis, Tunisia, 28−30 October 2015. Springer (LNBIP 233), Cham, 2015, pp. 132−139. (FOI-S--5244--SE, Swedish Defence Research Agency, 2015)

Schubert, J., Johansson, R. and Hörling, P.
Skewed distribution analysis in simulation-based operation planningPDF, in Proceedings of the Ninth Operations Research and Analysis Conference, Ottobrunn, Germany, 22−23 October 2015. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2015, Paper 5, pp. 1−13. (FOI-S--5241--SE, Swedish Defence Research Agency, 2015)

Johansson, F., Kaati, L. and Shrestha, A.
Timeprints for identifying social media users with multiple aliasesPDF, Security Informatics 2015 4:7. (FOI-S--5171--SE, Swedish Defence Research Agency, 2015)

Trång, D., Johansson, F. and Rosell, M.
Evaluating algorithms for detection of compromised social media user accountsPDF, in Proceedings of the Second European Network Intelligence Conference (ENIC 2015), Karlskrona, Sweden, 21−22 September 2015. IEEE, Piscataway, NJ, 2015, pp. 75−82. (FOI-S--5169--SE, Swedish Defence Research Agency, 2015)

Brynielsson, J. and Sharma, R.
Detectability of low-rate HTTP server DoS attacks using spectral analysisPDF, in Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015), Paris, France, 25−28 August 2015. ACM, New York, NY, 2015, pp. 954−961. (FOI-S--5252--SE, Swedish Defence Research Agency, 2015)

Cohen, M., Minock, M., Oskarsson, D., and Pelzer, B.
Enterprise architecture with executable modelling rules: a case study at the Swedish Defence Materiel AdministrationPDF, in Advanced Information Systems Engineering Workshops, A. Persson, J. Stirna (Eds.), Proceedings of the CAiSE 2015 International Workshops, Stockholm, Sweden, 8–9 June 2015. Springer (LNBIP 215), Cham, 2015, pp. 339–350. (FOI-S--5084--SE, Swedish Defence Research Agency, 2015)

Ford, R., Jervell Hansen, B., Hanz, D., Kuehne, S., Last, M., Mojtahed, V., Nogalski, D., Santos, L., Tuncer, F. and Wunder, M.
Bridging semantic interoperability gaps with SILFPDF, in Proceedings of the 2015 International Conference on Military Communications and Information Systems (ICMCIS 2015), Cracow, Poland, 18–19 May 2015. IEEE, Piscataway, NJ, 2015, pp. 1–11. (FOI-S--5082--SE, Swedish Defence Research Agency, 2015)

Curatella, F., Vinetti, P., Rizzo, G., Vladimirova, T., De Vendictis, L., Emter, T., Petereit, J., Fray, C., Usher., D., Stanciugelu, I., Schaefer, J., den Breejen, E., Gisslén, L. and Letalick, D. 
Toward a multifaceted platform for humanitarian deminingPDF, in Proceedings of the 13th IARP Workshop on Humanitarian Demining and Risky Interventions (HUDEM 2015), Biograd, Croatia, 27–28 April 2015. HCR-CTRO, Zagreb, Croatia, 2015, pp. 133–144. (FOI-S--5243--SE, Swedish Defence Research Agency, 2015)

Cohen, M., Minock, M., Oskarsson, D. and Pelzer, B.
Natural language specification and violation reporting of business rules over ER-modeled databasesPDF, in Advances in Database Technology (EDBT 2015), Proceedings of the 18th International Conference on Extending Database Technology, Brussels, Belgium, 23–27 March 2015. Open Proceedings.org, 2015, pp. 541–544. (FOI-S--5086--SE, Swedish Defence Research Agency, 2015)

Schubert, J., Moradi, F., Asadi, H., Luotsinen, L., Sjöberg, E., Hörling, P., Linderhed, A. and Oskarsson, D.
Simulation-based decision support for evaluating operational plansPDF, Operations Research Perspectives 2 (2015) 36–56. (FOI-S--5026--SE, Swedish Defence Research Agency, 2015)

2014

Kamrani, F., Hörling, P., Jansson, T. and Svenson, P.
Multivariate data generation for customs risk evaluation tool PDF, in Proceedings of the Winter Simulation Conference 2014 (WSC 2014), Savannah, USA, 7−10 December 2014. IEEE, Piscataway, NJ, 2014, pp. 4101−4102. (FOI-S--4861--SE, Swedish Defence Research Agency, 2014)

Franke, U., Holm, H. and König, J.
The distribution of time to recovery of enterprise IT servicesPDF, IEEE Transactions on Reliability 63(4) (2014) 858−867. (FOI-S--4738--SE, Swedish Defence Research Agency, 2014)

Wikberg, P., Thorstensson, M., Hammar, P. and Tolt, G.
Mission integrated simulation − a case studyPDF, in Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2014), Orlando, USA, 1−5 December 2014, pp.1−11. (FOI-S--4910--SE, Swedish Defence Research Agency, 2014)

Forsgren, R., Hammar, P. and Jändel, M.
Computational creativity for intelligence analysisPDF, in Proceedings of the 9th International Conference on Knowledge, Information and Creativity Support Systems (KICSS 2014), Limassol, Cypern, 6−8 November 2014, pp.72−85. (FOI-S--4868--SE, Swedish Defence Research Agency, 2014)

Johnson, P., Ullberg, J., Buschle, M., Franke, U. and Shahzad, K.
An architecture modeling framework for probabilistic predictionPDF, Information Systems and E-Business Management 12(4) (2014) 595−622. (FOI-S--4873--SE, Swedish Defence Research Agency, 2014)

Moradi, F. and Schubert, J.
Simulation-based defense planningPDF, in Proceedings of the NATO Symposium on Integrating Modelling & Simulation in the Defence Acquisition Lifecycle and Military Training Curriculum (MSG-126), Washington, DC, USA, 23−24 October 2014. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2014, Paper 6, pp. 1−16. (FOI-S--4829--SE, Swedish Defence Research Agency, 2014)

Schubert, J. and Hörling, P.
A comparative study between using A*-search, latin hypercube and genetic algorithms in design of experiment for simulation of military operational plansPDF, in Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014), San Diego, USA, 5−8 October 2014. IEEE, Piscataway, NJ, 2014, pp. 372−379. (FOI-S--4828--SE, Swedish Defence Research Agency, 2014)

Franke, U. and Brynielsson, J.
Cyber situational awareness – a systematic review of the literature
PDF
Computers & Security 46 (2014) 18−31. (FOI-S--4736--SE, Swedish Defence Research Agency, 2014)

Jändel, M.
Decision support for releasing anoymised dataPDF, Computers & Security 46 (2014) 48−61. (FOI-S--4844--SE, Swedish Defence Research Agency, 2014)

Westling, A., Brynielsson, J. and Gustavi, T.
Mining the web for sympathy: the Pussy Riot casePDF, in Proceedings of the 2014 IEEE Joint Intelligence and Security Informatics Conference (JISIC 2014), Haag, The Netherlands, 24−26 September 2014. IEEE, Piscataway, NJ, 2014, pp.123−128. (FOI-S--4789--SE, Swedish Defence Research Agency, 2014)

Franke, U.
Enterprise architecture analysis with production functionsPDF, in Proceedings of the 2014 IEEE 18th International Enterprise Distributed Object Computing Conference (EDOC 2014), Ulm, Tyskland, 1−5 September 2014. IEEE, Piscataway, NJ, 2014, pp. 52−60. (FOI-S--4707--SE, Swedish Defence Research Agency, 2014)

Brynielsson, J., Johansson, F., Jonsson, C. and Westling, A.
Emotion classification of social media posts for estimating people’s reactions to communicated alert messages during crisesPDF, Security Informatics 2014 3:7. (FOI-S--4785--SE, Swedish Defence Research Agency, 2014)

Schubert, J.
Partial ranking by incomplete pairwise comparisons using preference subsetsPDF, in Belief Functions: Theory and Applications, F. Cuzzolin (Ed.), Proceedings of the Third International Conference on Belief Functions (BELIEF 2014), Oxford, UK, 26−28 September 2014. Springer (LNAI 8764), Cham, 2014, pp. 190−198. (FOI-S--4796--SE, Swedish Defence Research Agency, 2014)

Franke, F. and Rosell, M.
Prospects for detecting deception on TwitterPDF, in Proceedings of the 2014 International Conference on Future Internet of Things and Cloud (FiCloud 2014), Barcelona, Spain, 27−29 August 2014. IEEE, Piscataway, NJ, 2014, pp. 528−533. (FOI-S--4908--SE, Swedish Defence Research Agency, 2014)

Tariq, M. A., Brynielsson, J. and Artman, H.
The security awareness paradox: a case studyPDF, in Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), Beijing, China, 17−20 August 2014. IEEE, Piscataway, NJ, 2014, pp. 704−711. (FOI-S--4806--SE, Swedish Defence Research Agency, 2014)

Schubert, J. and Hörling, P.
Preference-based Monte Carlo weight assignment for multiple-criteria decision making in defense planningPDF, in Proceedings of the 17th International Conference on Information Fusion (FUSION 2014), Salamanca, Spain, 7−10 July 2014. IEEE, Piscataway, NJ, 2014, Paper 189, pp. 1−8. (FOI-S--4727--SE, Swedish Defence Research Agency, 2014)

Jändel, M., Svenson, P. and Johansson, R.
Fusing restricted informationPDF, in Proceedings of the 17th International Conference on Information Fusion (FUSION 2014), Salamanca, Spain, 7−10 July 2014. IEEE, Piscataway, NJ, 2014, Paper 321, pp. 1−9. (FOI-S--4832--SE, Swedish Defence Research Agency, 2014)

Schubert, J. and Hörling, P.
Preference-based Monte Carlo weight assignment for multiple-criteria decision making in defense planning, in Proceedings of the 28th annual workshop of the Swedish Artificial Intelligence Society (SAIS 2014), Stockholm, Sweden, 22−23 May 2014. Linköping University Electronic Press, Linköping, 2014, pp. 51−58. (FOI-S--4700--SE, Swedish Defence Research Agency, 2014)

Cohen, M.
Simulation preorder semantics for traceability relations in enterprise architecture, in Proceedings of the 28th annual workshop of the Swedish Artificial Intelligence Society (SAIS 2014), Stockholm, Sweden, 22−23 May 2014. Linköping University Electronic Press, Linköping, 2014, pp. 77−80. (FOI-S--4709--SE, Swedish Defence Research Agency, 2014)

Gustavi, T.
Temporal sequence mining for improved situation understanding in robotics applicationsPDF, in Proceedings of the 28th annual workshop of the Swedish Artificial Intelligence Society (SAIS 2014), Stockholm, Sweden, 22−23 May 2014. Linköping University Electronic Press, Linköping, 2014, pp. 143−154. (FOI-S--4703--SE, Swedish Defence Research Agency, 2014)

Karami, A. and Johansson, R.
Utilization of multi attribute decision making techniques to integrate automatic and manual ranking of optionsPDF, Journal of Information Science and Engineering 30(2) (2014) 519–534. (FOI-S--4665--SE, Swedish Defence Research Agency, 2014)

Cohen, K., Johansson, F., Kaati, L. and Mork, J. C.
Detecting linguistic markers for radical violence in social mediaPDF, Terrorism and Political Violence 26(1) (2014) 246–256. (FOI-S--4619--SE, Swedish Defence Research Agency, 2014)

Jändel, M.
Biologically relevant neural network architectures for support vector machinesPDF, Neural Networks 49 (2014) 39–50. (FOI-S--4682--SE, Swedish Defence Research Agency, 2014)

Cohen, M. and Franke, U.
An experiment in ontology use for command and control operabilityPDF, Automated Software Engineering 22(2) (2015) 145−157. (FOI-S--4708--SE, Swedish Defence Research Agency, 2014)

Gingnell, L., Franke, U., Lagerström, R., Ericsson, E. and Lilliesköld, J.
Quantifying success factors for IT projects – an expert-based Bayesian modelPDF, Information Systems Management 31(1) (2014) 21–36. (FOI-S--4599--SE, Swedish Defence Research Agency, 2014)

2013

Asadi, H. and Schubert, J.
A stochastic discrete event simulator for effects-based planningPDF, in Proceedings of the 2013 Winter Simulation Conference (WSC 2013), R. Pasupathy, S.-H. Kim, A. Tolk, R. Hill, M. E. Kuhl (Eds.), Washington, DC, USA, 8–11 December 2013. IEEE, Piscataway, NJ, 2013, pp. 2842–2853. (FOI-S--4487--SE, Swedish Defence Research Agency, 2013)

Biermann, J., Hörling, P. and Snidaro, L.
Experiences and challenges in automated support for intelligence in assymetric operationsPDF, Journal of Advances in Information Fusion 8(2) (2013) 101–118. (FOI-S--4504--SE, Swedish Defence Research Agency, 2013)

Younas, I., Kamrani, F., Moradi, F., Ayani, R., Schubert, J. and Håkansson, A.
Solving battalion rescheduling problem using multi-objective genetic algorithmsPDF, in Proceedings of the 13th International Conference on Systems Simulation (AsiaSim 2013), G. Tan, G. K. Yeo, S. J. Turner, Y. M. Teo (Eds.), Singapore, 6–8 November 2013. Springer-Verlag (CCIS 402), Berlin, 2013, pp. 93–104. (FOI-S--4508--SE, Swedish Defence Research Agency, 2013)

Younas, I., Ayani, R., Schubert, J. and Asadi, H.
Using genetic algorithms in effects-based planningPDF, in Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013), Manchester, UK, 13−16 October 2013. IEEE, Piscataway, NJ, 2013, pp. 438−443. (FOI-S--4425--SE, Swedish Defence Research Agency, 2013)

Franke, U., Buschle, M. and Österlind, M.
An experiment in SLA decision-makingPDF, in Economics of Grids, Clouds, Systems, and Services, J. Altmann, K. Vanmechelen, O. F. Rana (Eds.), Proceedings of the 10th Internationbal Conference Economics of Grids, Clouds, Systems and Services (GECON 2013), Zaragoza, Spain, 18–20 September 2013. Springer (LNCS 8193), Berlin, 2013, pp. 256–267. (FOI-S--4397--SE, Swedish Defence Research Agency, 2013)

Gustavi, T. and Svenson, P.
Taxonomy for port security systemsPDF, in Proceedings of the 2013 Eighth International Conference on Availability, Reliability and Security (ARES 2013), Regensburg, Germany, 2–6 September 2013. IEEE, Piscataway, NJ, 2013, pp. 592–598. (FOI-S--4589--SE, Swedish Defence Research Agency, 2013)

Johansson, F., Kaati, L. and Shrestha, A.
Detecting multiple aliases in social mediaPDF, in Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), Niagara Falls, Canada, 25–28 August 2013. ACM, New York, NY, 2013, pp. 1004–1011. (FOI-S--4608--SE, Swedish Defence Research Agency, 2014)

Gustavi, T., Karasalo, M. and Mårtenson, C.
A tool for generating, structuring, and analyzing multiple hypotheses in intelligence workPDF, in Proceedings of the 2013 European Intelligence and Security Informatics Conference (EISIC 2013), Uppsala, Sweden, 12–14 August 2012. IEEE, Piscataway, NJ, 2013, pp. 23–30. (FOI-S--4390--SE, Swedish Defence Research Agency, 2013)

Fensel, A., Rogger, M., Gustavi, T., Horndahl, A. and Mårtenson, C.
Semantic data management: sensor-based port security use casePDF, in Proceedings of the 2013 European Intelligence and Security Informatics Conference (EISIC 2013), Uppsala, Sweden, 12–14 August 2012. IEEE, Piscataway, NJ, 2013, pp. 155–158. (FOI-S--4389--SE, Swedish Defence Research Agency, 2013)

García Lozano, M.
Trusting open source informationPDF, in Proceedings of the 2013 European Intelligence and Security Informatics Conference (EISIC 2013), Uppsala, Sweden, 12–14 August 2012. IEEE, Piscataway, NJ, 2013, p. 228. (FOI-S--4455--SE, Swedish Defence Research Agency, 2013)

Brynielsson, J. and Johansson, F. (Eds.)
Proceedings of the 2013 European Intelligence and Security Informatics Conferencelänk till annan webbplats, öppnas i nytt fönster (EISIC 2013), Uppsala, Sweden, 12–14 August 2013. IEEE Computer Society, Piscataway, NJ, 2013. ISBN 978-0-7695-5062-6. (FOI-S--4610--SE, Swedish Defence Research Agency, 2014)

Brynielsson, J., Johansson, F. and Lindquist, S.
Using video prototyping as a means to involve crisis communication personnel in the design process: innovating crisis management by creating a social media awareness toolPDF, in Human Interface and the Management of Information, S. Yamamoto (Ed.), Proceedings of the 15th International Conference on Human-Computer Interaction (HCI 2013), Las Vegas, USA, 21–26 July 2013. Springer (LNCS 8018), Berlin, 2013, pp. 559–568. (FOI-S--4382--SE, Swedish Defence Research Agency, 2013)

Brynielsson, J., Horndahl, A., Johansson, F., Kaati, L., Mårtenson, C. and Svenson, P.
Harvesting and analysis of weak signals for detecting lone wolf terroristsPDF, Security Informatics 2013 2:11. (FOI-S--4594--SE, Swedish Defence Research Agency, 2013)

Jändel, M.
Computational creativity for counterdeception in information fusionPDF, in Proceedings of the 16th International Conference on Information Fusion (FUSION 2013), Istanbul, Turkey, 9−12 July 2013. IEEE, Piscataway, NJ, 2013, Paper 044, pp. 1−8. (FOI-S--4446--SE, Swedish Defence Research Agency, 2013)

Schubert, J. and Linderhed, A.
Decision support from learning multiple boundaries on military operational plans from simulation dataPDF, in Proceedings of the 16th International Conference on Information Fusion (FUSION 2013), Istanbul, Turkey, 9−12 July 2013. IEEE, Piscataway, NJ, 2013, Paper 205, pp. 1−10. (FOI-S--4368--SE, Swedish Defence Research Agency, 2013)

Franke, U.
On the cyber-reputation of governmentsPDF, International Review of Information Ethics 19(7) (2013) 66–71. (FOI-S--4396--SE, Swedish Defence Research Agency, 2013)

Jändel, M.
Computational creativity in naturalistic decision-makingPDF, in Proceedings of the Fourth International Conference on Computational Creativity (ICCC 2013), M. L. Maher, T. Veale, R. Saunders, O. Bown (Eds.), The University of Sydney, Australia, 12−14 June 2013, pp. 118−122. (FOI-S--4356--SE, Swedish Defence Research Agency, 2013)

Brynielsson, J., Johansson, F. and Westling, A.
Learning to classify emotional content in crisis-related tweetsPDF, in Proceedings of the2013 IEEE Intelligence and Security Informatics Conference (ISI 2013), Seattle, USA, 4−7 June 2013. IEEE, Piscataway, NJ, 2013, pp. 33−38. (FOI-S--4333--SE, Swedish Defence Research Agency, 2013)

Jändel, M., Lindquist, S. and Luotsinen, L.
Social coverage mapsPDF, in Proceedings of the Tenth International Conference on Information Systems for Crisis Response and Management (ISCRAM 2013), T. Comes, F. Fiedrich, S. Fortier, J. Geldermann, T. Müller (Eds.), Baden-Baden, Germany, 9−12 May 2013, pp. 241−250. (FOI-S--4327--SE, Swedish Defence Research Agency, 2013)

Johnson, P., Ullberg, J., Buschle, M., Franke, U. and Shahzad, K.
P2AMF: predictive, probabilistic architecture modeling frameworkPDF, in Proceedings of the Fifth International IFIP Working Conference on Enterprise Interoperability (IWEI 2013), Enschede, The Netherlands, 27−28 March 2013, pp.104−117.(FOI-S--4291--SE, Swedish Defence Research Agency, 2013)

2012

Franke, U.
Disconnecting digital networks: a moral appraisalPDF, International Review of Information Ethics 18(12) (2012) 23−29. (FOI-S--4275--SE, Swedish Defence Research Agency, 2012)

Luotsinen, L. J. and Sjöberg, E.
The modeling and analysis of computer generated forces representing groups and organizations in military conflict zonesPDF, in Proceedings of the NATO Symposium on Transforming Defence through Modelling and Simulation – Opportunities and Challenges (MSG-094), Stockholm, Sweden, 18−19 October 2009. NATO Science and Technology Organisation, Neuilly-sur-Seine, France, 2012, Paper 12, pp. 1−13. (FOI-S--4126--SE, Swedish Defence Research Agency, 2012)

Harling, S. and Pelo, J.
SWERISK – fast calculation of risk in EOD operationsPDF, in Proceedings of the NATO Symposium on Transforming Defence through Modelling and Simulation – Opportunities and Challenges (MSG-094), Stockholm, Sweden, 18−19 October 2009. NATO Science and Technology Organisation, Neuilly-sur-Seine, France, 2012, Paper 23, pp. 1−9. (FOI-S--4141--SE, Swedish Defence Research Agency, 2012)

Tariq, M. A., Brynielsson, J. and Artman, H.
Storytelling for tackling organized cybercrimePDF, in Proceedings of the 26th Annual BCS Conference on Human Computer Interaction (HCI 2012), Birmingham, United Kingdom, 12−14 September 2012. British Informatics Society Limited, London, 2012, pp. 1−4. (FOI-S--4152--SE, Swedish Defence Research Agency, 2012)

Fazlollahi, A., Franke, U. and Ullberg, J.
Benefits of enterprise integration: review, classification, and suggestions for future researchPDF, in Enterprise Interoperability, M. van Sinderen, P. Johnson, X. Xu, G. Doumeingts (Eds.), Proceedings of the Fourth International IFIP Working Conference (IWEI 2012), Harbin, China, 6−7 September 2012. Springer (LNBIP 212), Heidelberg, 2012, pp. 34–45. (FOI-S--4107--SE, Swedish Defence Research Agency, 2012)

Cohen, M., Horndahl, A. and Mårtenson, C.
First steps towards a context aware ontology-driven reporting systemPDF, in Proceedings of the 8th International Conference on Semantic Systems (I-SEMANTICS 2012), Graz, Austria, 5−7 September 2012. ACM, New Yok, NY, 2012, pp. 103−108. (FOI-S--4094--SE, Swedish Defence Research Agency, 2012)

Dahlin, J., Johansson, F., Kaati, L., Mårtensson, C. and Svenson, P.
Combining entity matching techniques for detecting extremist behavior on discussion boardsPDF, in Proceedings of the International Symposium on Foundation of Open Source Intelligence and Security Informatics 2012 (FOSINT-SI 2012), Istanbul, Turkey, 27−28 August 2012, pp. 1−8. (FOI-S--4092--SE, Swedish Defence Research Agency, 2012)

Tariq, M. A., Brynielsson, J. and Artman, H.
Framing the attacker in organized cybercrimePDF, in Proceedings of the 2012 European Intelligence and Security Informatics Conference (EISIC 2012), Odense, Denmark, 22−24 August 2012. IEEE, Piscataway, NJ, 2012, pp. 30−37. (FOI-S--4151--SE, Swedish Defence Research Agency, 2012)

Johansson, F., Brynielsson, J. and Narganes Quijano, M.
Estimating citizen alertness in crises using social media monitoring and analysisPDF, in Proceedings of the 2012 European Intelligence and Security Informatics Conference (EISIC 2012), Odense, Denmark, 22−24 August 2012. IEEE, Piscataway, NJ, 2012, pp. 189−196. (FOI-S--4091--SE, Swedish Defence Research Agency, 2012)

Brynielsson, J., Horndahl, A., Johansson, F., Kaati, L., Mårtenson, C. and Svenson, P.
Analysis of weak signals for detecting lone wolf terroristsPDF, in Proceedings of the 2012 European Intelligence and Security Informatics Conference (EISIC 2012), Odense, Denmark, 22−24 August 2012. IEEE, Piscataway, NJ, 2012, pp. 197−204. (FOI-S--4093--SE, Swedish Defence Research Agency, 2012)

Gustavi, T. and Svenson, P.
Pattern theory in intelligence analysisPDF, in Proceedings of the 2012 European Intelligence and Security Informatics Conference (EISIC 2012), Odense, Denmark, 22−24 August 2012. IEEE, Piscataway, NJ, 2012, p. 290.
(FOI-S--4145--SE, Swedish Defence Research Agency, 2012)

Asadi, H., Mårtenson, C., Svenson, P. and Sköld, M.
The HiTS/ISAC social network analysis toolPDF
In Proceedings of the 2012 European Intelligence and Security Informatics Conference (EISIC 2012), Odense, Denmark, 22−24 August 2012. IEEE, Piscataway, NJ, 2012, pp. 291−296.
FOI-S--4090--SE, Swedish Defence Research Agency, 2012)

Berzinji, A., Kaati, L. and Rezine,A.
Detecting key players in terrorist networksPDF, in Proceedings of the 2012 European Intelligence and Security Informatics Conference (EISIC 2012), Odense, Denmark, 22−24 August 2012. IEEE, Piscataway, NJ, 2012, pp. 297−302. (FOI-S--4144--SE, Swedish Defence Research Agency, 2012)

Blasch, E., Costa, P. C. G., Laskey, K. B., Stampouli, D., Ng, G. W., Schubert, J., Nagi, R. and Valin, P.
Issues of uncertainty analysis in high-level information fusionPDF, in Proceedings of the 15th International Conference on Information Fusion (FUSION 2012), Singapore, 9−12 July 2012. IEEE, Piscataway, NJ, 2012, Panel 3, 13 pp.
(FOI-S--4082--SE, Swedish Defence Research Agency, 2012)

Schubert, J. and Hörling, P.
Explaining the impact of actionsPDF, in Proceedings of the 15th International Conference on Information Fusion (FUSION 2012), Singapore, 9−12 July 2012. IEEE, Piscataway, NJ, 2012, pp. 354−360. (FOI-S--4081--SE, Swedish Defence Research Agency, 2012)

Jändel, M., Svenson, P. and Wadströmer, N.
Online learnability of statistical relational learning in anomaly detectionPDF, in Proceedings of the 15th International Conference on Information Fusion (FUSION 2012), Singapore, 9−12 July 2012. IEEE, Piscataway, NJ, 2012, pp. 1150−1157. (FOI-S--4125--SE, Swedish Defence Research Agency, 2012)

Björklund, J., Jönsson, E. and Kaati, L.
Aspects of plan operators in a tree automata frameworkPDF, in Proceedings of the 15th International Conference on Information Fusion (FUSION 2012), Singapore, 9−12 July 2012. IEEE, Piscataway, NJ, 2012, pp. 1462−1467. (FOI-S--4143--SE, Swedish Defence Research Agency, 2012)

Kamrani, F., Ayani, R. and Moradi, F.
A framework for simulation-based optimization of business process modelsPDF, Simulation 88(7) (2012) 852−869. (FOI-S--4181--SE, Swedish Defence Research Agency, 2012)

Hinshaw, F., Moradi, F. and Schubert, J.
Simulating the interrelationships of military plan activitiesPDF, in Proceedings of the 17th International Command and Control Research and Technology Symposium (ICCRTS), Fairfax, USA, 19−21 June 2012. US Department of Defense CCRP, Washington, DC, 2011, Paper 077, pp. 1−13. (FOI-S--4062--SE, Swedish Defence Research Agency, 2012)

Schubert, J.
The internal conflict of a belief functionPDF, in Belief Functions: Theory and Applications, T. Denoeux, M.-H. Masson (Eds.), Proceedings of the Second International Conference on Belief Functions (BELIEF 2012), Compiègne, France, 9−11 May 2012. Springer (AISC 164), Berlin, 2012, pp. 169−177. (FOI-S--4034--SE, Swedish Defence Research Agency, 2012)

Nilsson, S., Brynielsson, J., Granåsen, M., Hellgren, C., Lindquist, S., Lundin, M., Narganes Quijano, M. and Trnka, J.
Making use of new media for pan-european crisis communicationPDF, in Proceedings of the Ninth International Conference on Information Systems for Crisis Response and Management (ISCRAM 2012), Vancouver, Canada, 22−25 April 2012.
(FOI-S--4039--SE, Swedish Defence Research Agency, 2012)

Brynielsson, J., Kaati, L. and Svenson, P.
Social positions and simulation relationsPDF, Social Network Analysis and Mining 2(1) (2012) 39−52. (FOI-S--4048--SE, Swedish Defence Research Agency, 2012)

Schubert, J.
Constructing and evaluating alternative frames of discernmentPDF, International Journal of Approximate Reasoning 53(2) (2012) 176−189. (FOI-S--3991--SE, Swedish Defence Research Agency, 2012)
An iterative workflow model of constructing frames of discernment from belief functions (Dempster-Shafer theory) that interact in an interesting way without exhibit too much internal conflict (journal version)

2011

Johansson, F. and Falkman, G.
Real-time allocation of firing units to hostile targetsPDF, Journal of Advances in Information Fusion 6(2) (2011) 187−199. (FOI-S--3982--SE, Swedish Defence Research Agency, 2011)

Mårtenson, C., Horndahl, A. and Kabir, Z.
An ontology-based adaptive reporting toolPDF, In Proceedings of the Sixth International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS 2011), Fairfax, USA, 15−17 November 2011. (FOI-S--3866--SE, Swedish Defence Research Agency, 2011)

Mojtahed, V., Cohen, M., Jansson, T., Eklöf, M., Mårtenson, C. and Zdravkovic, J.
Realising the first prototype of the semantic interoperability logical frameworkPDF, in Proceedings of the NATO Workshop on Semantic Operability Workframe (IST-079/RWS-016), Oslo, Norway, 8−9 November 2011. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2011, Paper 3, pp. 1−9. (FOI-S--3829--SE, Swedish Defence Research Agency, 2011)

Schubert, J. and Linderhed, A.
Learning boundaries on military operational plans from simulation dataPDF, in Proceedings of the 2011 IEEE International Conference on Systems, Man and Cybernetics (SMC 2011), Anchorage, USA, 9−12 October 2011. IEEE, Piscataway, NJ, 2011, pp. 1325−1332. (FOI-S--3826--SE, Swedish Defence Research Agency, 2011)

Kamrani, F., Ayani, R. and Moradi, F.
A model for estimating the performance of a team of agentsPDF, in Proceedings of the 2011 IEEE International Conference on Systems, Man and Cybernetics (SMC 2011), Anchorage, USA, 9−12 Octobert 2011. IEEE, Piscataway, NJ, 2011, pp. 2393−2400. (FOI-S--3865--SE, Swedish Defence Research Agency, 2011)

Younas, I., Ayani, R. and Schubert, J.
Using genetic algorithms for investigating specific regions of the solution spacePDF, in Proceedings of the 2011 African Conference on Software Engineering and Applied Computing (ACSEAC 2011), Cape Town, South Africa, 19−21 September 2011. IEEE, Piscataway, NJ, 2011, Paper 34, pp. 1−8. (FOI-S--3814--SE, Swedish Defence Research Agency, 2011)

Asadi, H., Eklöf, M. and Mojtahed, V.
BOM matching and semantic validationPDF, in Proceedings of the 2011 Fall Simulation Interoperability Workshop (SIW), Orlando, USA, 19–23 September 2011. SISO, Orlando, FL, 2011, Paper 11F-SIW-006, pp. 15−21. (FOI-S--3828--SE, Swedish Defence Research Agency, 2011)

Dahlin, J. and Svenson, P.
A method for community detection in uncertain networksPDF, in 2011 Proceedings of the European Intelligence and Security Informatics Conference (EISIC 2011), Athens, Greece, 12−14 September 2011. IEEE, Piscataway, NJ, 2011, pp. 155−162. (FOI-S--3799--SE, Swedish Defence Research Agency, 2011)
Presents a method for handling uncertain data in social network analysis and applies it to the community detection problem

Forsgren, R., Horndahl, A., Svenson, P. and Tjörnhammar, E.
Information fusion for port security decision supportPDF, in 2011 Proceedings of the European Intelligence and Security Informatics Conference (EISIC 2011), Athens, Greece, 12−14 September 2011. IEEE, Piscataway, NJ, 2011, p. 292. (FOI-S--3802--SE, Swedish Defence Research Agency, 2011)
Describes how the Impactorium system could be adapted to port security

Kaati, L. and Svenson, P.
Analysis of competing hypothesis for investigating lone wolf terroristPDF, in 2011 Proceedings of the European Intelligence and Security Informatics Conference (EISIC 2011), Athens, Greece, 12−14 September 2011. IEEE, Piscataway, NJ, 2011, pp. 295−299.
(FOI-S--3800--SE, Swedish Defence Research Agency, 2011)
Presents a concept a computer-support tool for analysis of lone-wolf terrorists

Johansson, F., Brynielsson, J., Hörling, P., Malm, M., Mårtenson, C., Truvé, S. and Rosell, M.
Detecting emergent conflicts through web mining and visualizationPDF, in 2011 Proceedings of the European Intelligence and Security Informatics Conference (EISIC 2011), Athens, Greece, 12−14 September 2011. IEEE, Piscataway, NJ, 2011, pp. 346−353. (FOI-S--3801--SE, Swedish Defence Research Agency, 2011)
Describes how web crawlers and web analysis could be used to detects trends in conflicts

Johansson, F., Mårtenson, C. and Svenson, P.
A social network analysis of the information fusion communityPDF, in Proceedings of the 14th International Conference on Information Fusion (FUSION 2011), Chicago, USA, 5−8 July 2011. IEEE, Piscataway, NJ, 2011, pp. 1763−1770. (FOI-S--3760--SE, Swedish Defence Research Agency, 2011)

Holmberg, M. and Svenson, P.
Information fusion for collaborating commanders at different levelsPDF, in Proceedings of the 16th International Command and Control Research Technology Symposium (ICCRTS), Québec City, Canada, 21−23 June 2011. US Department of Defense CCRP, Washington, DC, 2011, Paper 089, pp. 1−11. (FOI-S--3798--SE, Swedish Defence Research Agency, 2011)

Mojtahed, V., Eklöf, M. and Zdravkovic, J.
Towards semantic interoperability between C2 systems following the principles of distributed simulationPDF, in Proceedings of the 16th International Command and Control Research Technology Symposium (ICCRTS), Québec City, Canada, 21−23 June 2011. US Department of Defense CCRP, Washington, DC, 2011, Paper 093, pp. 1−11. (FOI-S--3827--SE, Swedish Defence Research Agency, 2011)

Mahmood, I., Ayani, R., Vlassov, V. and Moradi, F.
Fairness verification of BOM-based composed models using petri netsPDF, in Proceedings of the 25th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation (PADS 2011), Nice, France, 14−17 June 2011, Paper 38, pp. 1−8. (FOI-S--3743--SE, Swedish Defence Research Agency, 2011)

Jändel, M.
Plug-and-play roboticsPDF, in Proceedings of NATO Symposium on Emerged/Emerging "Disruptive" Technologies (IST-099), Madrid, Spanien, 9-10 May 2011. NATO Science and Technology Organisation, Neuilly-sur-Seine, France, 2011, Paper 12, pp. 1−8. (FOI-S--3702--SE, Swedish Defence Research Agency, 2011)

Artman, H., Brynielsson, J., Johansson, B. J. E. and Trnka, J.
Dialogical emergency management and strategic awareness in emergency communicationPDF, in Proceedings of the Eighth International Conference on Information Systems for Crisis Response and Management (ISCRAM 2011), Lisbon, Portugal, 8−11 May 2011, pp. 1−9. (FOI-S--3711--SE, Swedish Defence Research Agency, 2011)

Younas, I., Kamrani, F., Schulte, C. and Ayani, R.
Optimization of task assignment to collaborating agentsPDF, in Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Scheduling (SCIS 2011), Paris, France, 11−15 April 2011, pp. 17−24. (FOI-S--3864--SE, Swedish Defence Research Agency, 2011)

Schubert, J.
Conflict management in Dempster–Shafer theory using the degree of falsityPDF, International Journal of Approximate Reasoning 52(3) (2011) 449−460. (FOI-S--3641--SE, Swedish Defence Research Agency, 2011)
Conflict management by discounting belief functions (Dempster-Shafer theory) to the degree they contribute to the conflict (journal version)

2010

Johansson, R. and Mårtenson, C.
Information acquisition for general Bayesian networks with uncertain observationsPDF, in Proceedings of the First International Workshop on Advanced Methodologies for Bayesian Networks (AMBN 2010), Tokyo, Japan, 18−19 November 2010, p. 14. (FOI-S--3576--SE, Swedish Defence Research Agency, 2010)

Mahmood, I., Ayani, R., Vlassov V. and Moradi, F.
Composability test of BOM based models using petri netsPDF, in Proceedings of the 22nd IFIP International Conference on Testing Software and Systems (ICTSS'10), Natal, Brazil, 8−12 November 2010, pp 7−12. (FOI-S--3648--SE, Swedish Defence Research Agency, 2010)

Andersson, M. and Johansson, R.
Multiple sensor fusion for effective abnormal behaviour detection in counter-piracy operationsPDF, in Proceedings of the Second International Conference on WaterSide Security (WSS 2010), Marina di Carrara, Italy, 3−5 November 2010. IEEE, Piscataway, NJ, 2010. (FOI-S--3559--SE, Swedish Defence Research Agency, 2010)

Svenmarck, P., Huibregtse, J. N., van Vliet, A. J., van Hemert, D. A., Lundin, M., Sjöberg, E. and van Amerongen, P. J. M.
Message dissemination in social networks for support of information operations planningPDF,
In Proceedings of the NATO Symposium on Human Modelling for Military Application (HFM-202), Amsterdam, Netherlands, 18−20 October 2010. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2010, Paper 8, pp. 1−23. (FOI-S--3510--SE, Swedish Defence Research Agency, 2010)

Lotens, W., Allender, L., Armstrong, J., Belyavin, A., Cain, B., Castor, M., Gluck, K. and Lundin, M.
FM 128/143: moderators as a method to link HF to operational behaviourPDF, in Proceedings of the NATO Symposium on Human Modelling for Military Application (HFM-202), Amsterdam, Netherlands, 18−20 October 2010. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2010, Paper 20, pp. 1−19. (FOI-S--3609--SE, Swedish Defence Research Agency, 2010)

Mahmood, I., Ayani, R., Vlassov, V. and Moradi, F.
Behavioral verification of BOM based composed modelsPDF, in Proceedings of the 22nd European Modeling and Simulation Symposium (EMSS 2010), Fes, Marocco, 13−15 October 2010. pp. 1−10. (FOI-S--3649--SE, Swedish Defence Research Agency, 2010)

Schubert, J., Moradi, F., Asadi, H., Hörling, P. and Sjöberg, E.
Simulation-based decision support for effects-based planningPDF, in Proceedings of the 2010 IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), Istanbul, Turkey, 10−13 October 2010. IEEE, Piscataway, NJ, 2010, pp. 636−645. (FOI-S--3494--SE, Swedish Defence Research Agency, 2010)
A decision support system with an embedded simulator for testing operational plans within an effects-based approach to operations (EBAO)

Jändel, M.
Pattern recognition as an internalized motor programmePDF, in Proceedings of the International Conference on Neural Networks, Amsterdam, Netherlands, 28−30 September 2010, pp. 828−836.
(FOI-S--3492--SE, Swedish Defence Research Agency, 2010)

Brynielsson, J., Högberg, J., Kaati, L., Mârtenson, C. and Svenson, P.
Detecting social positions using simulationPDF, in Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010), University of Southern Denmark, Odense, Denmark, 9−11 August 2010, pp. 48−55. (FOI-S--3468--SE, Swedish Defence Research Agency, 2010)
Describes a method based on simulation equivalence for constructing a smaller version of a large social network where some network measures of interest are conserved

Högberg, J. and Kaati, L.
Weighted unranked tree automata as a framework for plan recognitionPDF, in Proceedings of the 13th International Conference on Information Fusion (FUSION 2010), Edinburgh, UK, 26−29 July 2010. IEEE, Piscataway, NJ, 2010, Paper Tu2.4.4, pp. 1−8. (FOI-S--3465--SE, Swedish Defence Research Agency, 2010)
Reports how the unobstructed keyhole plan recognition problem can be modelled within the framework of weighted unranked tree automata

Johansson, R. and Mårtenson, C.
Information acquisition strategies for Bayesian network-based decision supportPDF, in Proceedings of the 13th International Conference on Information Fusion (FUSION 2010), Edinburgh, UK, 26−29 July 2010. IEEE, Piscataway, NJ, 2010, Paper We1.4.5, pp. 1−8. (FOI-S--3466--SE, Swedish Defence Research Agency, 2010)
The article proposes an information acquisition strategy to support knowledge requests in the Bayesian network-based implementation of the Impactorium intelligence analysis tool

Schubert, J.
Multi-level subjective effects-based assessmentPDF, in Proceedings of the 13th International Conference on Information Fusion (FUSION 2010), Edinburgh, UK, 26−29 July 2010. IEEE, Piscataway, NJ, 2010, Paper We3.4.1, pp. 1−8. (FOI-S--3463--SE, Swedish Defence Research Agency, 2010)
Using a cross-impact matrix and Dempster-Shafer theory (belief functions) to find assessments needed for success of plans (EBA) within an Effects-Based Approach to Operations (EBAO)

Svenson, P., Forsgren, R., Kylesten, B., Berggren, P., Rong Fah, W., Choo, M. S. and Yew Hann, J. K.
Swedish-Singapore studies of Bayesian modelling techniques for tactical intelligence analysisPDF, in Proceedings of the 13th International Conference on Information Fusion (FUSION 2010), Edinburgh, UK, 26−29 July 2010. IEEE, Piscataway, NJ, 2010, Paper Th3.4.1, pp. 1−8. (FOI-S--3467--SE, Swedish Defence Research Agency, 2010)
Reports the results of an experiment combining Impactorium and RAHS for detecting terrorist threats

Jändel, M.
Evolutionary path to biological kernel machinesPDF, in Proceedings Brain-Inspired Cognitive Systems (BICS 2010), Madrid, Spain, 14-16 July 2010, pp. 1−12. (FOI-S--3493--SE, Swedish Defence Research Agency, 2010)

Mojtahed, V., Svee, E.-O. and Zdravkovic, J.
Semantic enhancements when designing a BOM-based conceptual repositoryPDF, in Proceedings of the 2010 SISO European Simulation Interoperability Workshop (Euro SIW), Ottawa, Canada, 11−14 July 2010. SISO, Orlando, FL, Paper 10E-SIW-021, pp. 1−12. (FOI-S--3430--SE, Swedish Defence Research Agency, 2010)

Schubert, J.
Constructing multiple frames of discernment for multiple subproblemsPDF, in Proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2010), E. Hüllermeier, R. Kruse, F. Hoffmann (Eds.), Dortmund, Germany, 28 June−2 July 2010. Springer-Verlag (CCIS 80), Berlin, 2010, pp. 189−198. (FOI-S--3455--SE, Swedish Defence Research Agency, 2010)
An iterative workflow model of constructing frames of discernment from belief functions (Dempster-Shafer theory) for multiple problems using Potts Spin theory

Jändel, M.
A neural support vector machinePDF, Neural Networks 23(5) (2010) 607−613. (FOI-S--3418--SE, Swedish Defence Research Agency, 2010)

Kamrani, F., Ayani, R. and Karimson, A.
Optimizing a business process model by using simulationPDF, in Proceedings of the 24th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation (PADS 2010), Atlanta, USA, 17−19 May 2010, pp. 40−47. (FOI-S--3863--SE, Swedish Defence Research Agency, 2010)

Schubert, J.
Analysis and assessment of effects-based plansPDF, in Proceedings of the NATO Symposium on Analytical Support to Defence Transformation (SAS-081), Sofia, Bulgaria, 26−28 April 2010. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2010, Paper 33, pp. 1−18. (FOI-S--3395--SE, Swedish Defence Research Agency, 2010)
Using a cross impact matrix to find inconsistencies and decisive influences within effects-based planning (EBP) and perform subjective effects-based assessment (EBA) using belief functions (Dempster-Shafer theory)

Schubert, J.
Constructing and reasoning about alternative frames of discernmentPDF, in Proceedings of the Workshop on the Theory of Belief Functions (Belief 2010), Brest, France, 1−2 April 2010. Belief Functions and Applications Society, Brest, 2010, Paper 24, pp. 1−6. (FOI-S--3386--SE, Swedish Defence Research Agency, 2010)
An iterative workflow model of constructing frames of discernment from belief functions (Dempster-Shafer theory) that interact in an interesting way without exhibit too much internal conflict (conference version)

2009

Cooper, S., Nickell, C., Piotrowski, V., Oldfield, B., Abdallah, A., Bishop, M., Caelli, B., Dark, M., Hawthorne, E. K., Hoffman, L., Pérez, L. C., Pfleeger, C., Raines, R., Schou, C. and Brynielsson, J.
An exploration of the current state of information assurance educationPDF, SIGCSE Bulletin 41(4) (2009) 109−125. (FOI-S--3358--SE, Swedish Defence Research Agency, 2010)

Kamrani, F., Ayani, R., Moradi, F. and Holm, G.
Estimating performance of a business process modelPDF, in Proceeding of the Winter Simulation Conference 2009 (WSC'09), Austin, USA, 13−16 December 2009, pp. 1−12. (FOI-S--3267--SE, Swedish Defence Research Agency, 2009)

Mahmood, I., Ayani, R., Vlassov, V. and Moradi, F.
Statemachine matching in BOM based model compositionPDF, in Proceedings of the 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2009), Singapore, 25−28 October 2009, pp. 1−8. (FOI-S--3271--SE, Swedish Defence Research Agency, 2009)

Moradi, F. and Schubert, J.
Modelling a simulation-based decision support system for effects-based planningPDF, in Proceedings of the NATO Symposium on Use of M&S in: Support to Operations, Irregular Warfare, Defence Against Terrorism and Coalition Tactical Force Integration (MSG-069), Brussels, Belgium, 15−16 October 2009, Paper 11, pp. 1−14. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2009. (FOI-S--3176--SE, Swedish Defence Research Agency, 2009)
Evaluating operational plans within an effects-based approach to operations (EBAO)

García Lozano, M., Moradi, F., Ibarzabal, E. and Tjörnhammar, E.
A semantic approach to simulation component identification and discoveryPDF, in Proceedings of the 22nd European Modeling and Simulation Symposium, Tenerife, Spain, 23−25 September 2009, Paper 93, pp. 1−6. (FOI-S--3257--SE, Swedish Defence Research Agency, 2009)

Moradi, F., Ayani, R. Mokarizadeh, S. and Tan, G.
A rule-based semantic matching of base object modelsPDF, International Journal of Simulation and Process Modelling 5(2) (2009) 132−145. (FOI-S--3270--SE, Swedish Defence Research Agency, 2009)

Abdulla, P. A., Holík, L, Kaati, L. and Vojnar, T.
A uniform (bi-)simulation-based framework for reducing tree automataPDF, Electronic Notes in Theoretical Computer Science 251 (2009) 27−48. (FOI-S--3173--SE, Swedish Defence Research Agency, 2009)

Schubert, J., Svenson, P. and Mårtenson, C.
System prediction combining state estimation with an evidential influence diagramPDF, in Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, USA, 6−9 July 2009. IEEE, Piscataway, NJ, 2009, pp. 428−435. (FOI-S--3158--SE, Swedish Defence Research Agency, 2009)
Using system state estimation and a priori knowledge of system relations for one step system state prediction within knowledge support (KS) using belief functions (Dempster-Shafer theory)

Biermann, J., Hörling, P. and Snidaro, L.
Automated support for intelligence in asymmetric operations: requirements and experimental resultsPDF, in Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, USA, 6−9 July 2009. IEEE, Piscataway, NJ, 2009, pp. 1592−1599. (FOI-S--3165--SE, Swedish Defence Research Agency, 2009)

Andersson, M., Dalberg, E., Grahn, P., Gundmark, T., Hansson, A., Lantz, F., Kylesten, B., Linder, S., Lindgren, D., Pihl, J., Sjöberg, E. and Svenson, P.
The FOI C4ISR demonstration 2008PDF, in Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, USA, 6−9 July 2009. IEEE, Piscataway, NJ, 2009, pp. 1604−1612. (FOI-S--3166--SE, Swedish Defence Research Agency, 2009)

Lundin, M., Hörling, P. and Svenson, P.
Uncertainty modelling for threat analysisPDF, in Proceedings of the 14th International Command and Control Research Technology Symposium (ICCRTS), Washington, DC, USA, 15−17 June 2009. US Department of Defense CCRP, Washington, DC, 2008, Paper 032, pp. 1−21. (FOI-S--3123--SE, Swedish Defence Research Agency, 2009)

Brynielsson, J., Horndahl, A., Kaati, L., Mårtenson, C. and Svenson, P.
Development of computerized support tools for intelligence workPDF, in Proceedings of the 14th International Command and Control Research Technology Symposium (ICCRTS), Washington, DC, USA, 15−17 June 2009. US Department of Defense CCRP, Washington, DC, 2009, Paper 048, pp. 1−24. (FOI-S--3121--SE, Swedish Defence Research Agency, 2009)

García Lozano, M., Hörling, P., Moradi, F. and Tjörnhammar, E.
Supporting C2 with a service oriented framework for opportunistic sensors and sensor networksPDF, in Proceedings of the 14th International Command and Control Research Technology Symposium (ICCRTS), Washington, DC, USA, 15−17 June 2009. US Department of Defense CCRP, Washington, DC, 2008, Paper 129, pp. 1−11. (FOI-S--3224--SE, Swedish Defence Research Agency, 2009)

Mojtahed, V. and Rasmussen, R.
A framework for semantic interoperability in the military domainPDF, in Proceedings of the 2009 Semantic Technology Conference, San Jose, USA, 14−18 June 2009. Semantic Universe, Culver City, 2009, Session 1741. (FOI-S--3148--SE, Swedish Defence Research Agency, 2009)

Mårtenson, C. and Svenson, P.
Information supply for high-level fusion servicesPDF, in Intelligent Sensing, Situation Management, Impact Assessment, and Cyber-Sensing, S. Mott, J. F. Buford, G. Jakobson, M. J. Mendenhall (Eds.), Proceedings of SPIE Vol 7352, Orlando, USA, 19 May 2009. SPIE, Bellingham, WA, 2009, Paper 73520N. (FOI-S--3124--SE, Swedish Defence Research Agency, 2009)

Jändel, M.
Thalamic bursts mediate pattern recognitionPDF, in Proceedings of the Fourth International IEEE EMBS Conference on Neural Engineering, Antalaya, Turkey, 29 April−2 May 2009. IEEE, Piscataway, NJ, 2019, pp. 562−565. (FOI-S--3160--SE, Swedish Defence Research Agency, 2010)

Andler, S., Fredin, M., van Laere, J., Nilsson, M. and Svenson, P.
SMARTracIn − a concept for spoof resistant tracking of vessels and detection of adverse intentionsPDF, in Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VIII, E.M. Carapezza (Ed.), Proc. of SPIE Vol 7305, Orlando, USA, 15 April 2009. SPIE, Bellingham, WA, 2009, Paper 73050G. (FOI-S--3125--SE, Swedish Defence Research Agency, 2009)

Brynielsson, J.
An information assurance curriculum for commanding officers using hands-on experimentsPDF, in Proceedings of the 40th ACM technical symposium on Computer science education (SIGCSE '09), Chattanooga, USA, 4−7 March 2009. ACM, Chattanooga, TN, USA, 2009, pp. 236−240. (FOI-S--3099--SE, Swedish Defence Research Agency, 2009); SIGCSE Bulletin 41(1) (2009) 236−240. (FOI-S--3296--SE, Swedish Defence Research Agency, 2009)

2008

Schubert, J.
Managing decomposed belief functionsPDF, in Uncertainty and Intelligent Information Systems, B. Bouchon-Meunier, C. Marsala, M. Rifqi, R. R. Yager (Eds.). World Scientific Publishing Company, Singapore, 2008, pp. 91−103. (FOI-S--2941--SE, Swedish Defence Research Agency, 2008)
Extending clustering of belief functions (Dempster-Shafer theory) to nonconsonant belief functions (book chapter version)

Svensson, P.
The evolution of vertical database architectures − a historical surveyPDF (keynote talk), in Scientific and Statistical Database Management, B. Ludaescher, N. Mamoulis (Eds.), Proceedings of the 20th International Conference SSDBM 2008, Hong Kong, China, 9−11 July 2008. Springer-Verlag (LNCS 5069), Berlin, 2008, pp. 3−5. (FOI-S--2882--SE, Swedish Defence Research Agency, 2008)

Schubert, J.
Subjective effects-based assessmentPDF, in Proceedings of the Eleventh International Conference on Information Fusion (FUSION 2008), Cologne, Germany, 30 June−3 July 2008. IEEE, Piscataway, NJ, 2008, pp. 987−994. (FOI-S--2903--SE, Swedish Defence Research Agency, 2008)
Using a cross-impact matrix and Dempster-Shafer theory (belief functions) to assess plans (EBA) within an Effects-Based Approach to Operations (EBAO)

Schubert, J.
Conflict management in Dempster-Shafer theory by sequential discounting using the degree of falsityPDF, in Proceedings of the Twelfth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU'08), L. Magdalena, M. Ojeda-Aciego, J. L. Verdegay (Eds.), Málaga, Spain, 22−27 June 2008, pp. 298−305. (FOI-S--2843--SE, Swedish Defence Research Agency, 2008)
Conflict management by discounting belief functions (Dempster-Shafer theory) to the degree they contribute to the conflict (conference version)

Schubert, J., Ferrara, L., Hörling, P. and Walter, J.
A decision support system for crowd controlPDF, in Proceedings of the 13th International Command and Control Research Technology Symposium, Seattle, USA, 17−19 June 2008. US Department of Defense CCRP, Washington, DC, 2008, Paper 005, pp. 1−19. (FOI-S--2842--SE, Swedish Defence Research Agency, 2008)
Decision support using machine learned strategies for managing riots

Ferrara, L., Mårtenson, C., Svenson, P., Svensson, P., Hidalgo, J., Molano A. and Madsen, A.
Integrating data sources and network analysis tools to support the fight against organized crimePDF, in Intelligence and Security Informatics, C. C. Yang, H. Chen, M. C.-L. Chau, K. Chang, S.-D. Lang, P. Chen, R. Hsieh, D. Zeng, F.-Y. Wang, K. M. Carley, W. Mao, J. Zhan (Eds.), Proceedings of the IEEE ISI 2008 International Workshops: PAISI, PACCF and SOCO 2008, Taipei, Taiwan, 17 June 2008. Springer-Verlag (LNCS 5075), Berlin, 2008, pp. 171−182. (FOI-S--2865--SE, Swedish Defence Research Agency, 2008)

Berg, T., Mårtenson, C. and Svenson, P.
Using text clustering for intelligence classificationPDF, in Stockholm Contributions to Military-Technology 2007, M. Norsell (Ed.). Swedish National Defence College, Stockholm, 2008, pp. 22−34. (FOI-S--2930--SE, Swedish Defence Research Agency, 2008)
Gives several suggestions for how text mining techniques could be useful for C4ISR and knowledge management (book chapter version)

Schubert, J., Wallén, M. and Walter, J.
Morphological refinement of effect-based planningPDF, in Stockholm Contributions to Military-Technology 2007, M. Norsell (Ed.). Swedish National Defence College, Stockholm, 2008, pp. 207−220. (FOI-S--2867--SE, Swedish Defence Research Agency, 2008)
Using a cross-impact matrix and Dempster-Shafer theory (belief functions) to analyze plans (EBP) within an Effects-Based Approach to Operations (EBAO) (book chapter version)

Schubert, J.
Clustering decomposed belief functions using generalized weights of conflictPDF, International Journal of Approximate Reasoning 48(2) (2008) 466−480. (FOI-S--2825--SE, Swedish Defence Research Agency, 2008)
Extending clustering of belief functions (Dempster-Shafer theory) to nonconsonant belief functions (journal version)

Mojtahed, V., Andersson, B., Kabilan, V. and Zdravkovic, J.
BOM++, a semantically enriched BOMPDF, in Proceedings of the 2008 Spring Simulation Interoperability Workshop (SIW), Providence, USA, 14−18 April 2008. SISO, Orlando, FL, 2008, Paper 08S-SIW-050, pp. 1−12. (FOI-S--2834--SE, Swedish Defence Research Agency, 2008)

2007

Xiong, N., Christensen, H. and Svensson, P.
Reactive tuning of target estimate accuracy in multisensor data fusionPDF, Cybernetics and Systems 38(1) (2007) 83−103. (FOI-S--2705--SE, Swedish Defence Research Agency, 2007)

Xiong, N., Christensen, H. and Svensson, P.
Agent negotiation of target distribution enhancing system survivabilityPDF, International Journal of Intelligent Systems 22(12) (2007) 1251−1269. (FOI-S--2704--SE, Swedish Defence Research Agency, 2007)

Schubert, J. and Suzic, R.
Decision support for crowd control: using genetic algoritms with simulation to learn control strategiesPDF, in Proceedings of the Third IEEE Workshop on Situation Management (SIMA 2007), Orlando, USA, 29 October 2007. IEEE, Piscataway, NJ, 2007, Paper SIMA-3.4, pp. 1−7. (FOI-S--2656--SE, Swedish Defence Research Agency, 2007)
Learning strategies for managing riots using agent-based simulations

Svenson, P., Berg, T., Hörling, P., Malm, M. and Mårtenson, C.
Using the impact matrix for predictive situational awarenessPDF, in Proceedings of the Tenth International Conference on Information Fusion (FUSION 2007), Quebec, Canada, 2007. IEEE, Piscataway, NJ, 2007, Paper 1298, pp. 1−7. (FOI-S--2611--SE, Swedish Defence Research Agency, 2007)
An information fusion tool for operations other than war (OOTW)

Berg, T., Mårtenson, C. and Svenson, P.
Using text clustering for intelligence classificationPDF, in Proceedings of the Third International Conference on Military Technology (MilTech3), Stockholm, Sweden, 14−15 June 2007, Paper Or10, pp. 1−8. (FOI-S--2577--SE, Swedish Defence Research Agency, 2007)
Gives several suggestions for how text mining techniques could be useful for C4ISR and knowledge management (conference version)

Schubert, J., Wallén, M. and Walter, J.
Morphological refinement of effect based planningPDF, in Proceedings of the Third International Conference on Military Technology (MilTech3), Stockholm, Sweden, 14−15 June 2007, Paper Or21, pp. 1−8. (FOI-S--2578--SE, Swedish Defence Research Agency, 2007)
Using a cross-impact matrix and Dempster-Shafer theory (belief functions) to analyze plans (EBP) within an Effects-Based Approach to Operations (EBAO) (conference version)

Berg, T., Hörling, P., Malm, M., Mårtenson, C. and Svenson, P.
Using the impact matrix for predictive situational awarenessPDF, in Proceedings of the 24th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2007), University of Borås, Sweden, 22−23 May 2007. (FOI-S--2576--SE, Swedish Defence Research Agency, 2007)

Ahlberg, S., Hörling, P., Johansson, K., Jöred, K., Kjellström, H., Mårtenson, C., Neider, G., Schubert, J., Svenson, P., Svensson, P. and Walter, J.
An information fusion demonstrator for tactical intelligence processing in network-based defensePDF, Information Fusion 8(1) (2007) 84−107. (FOI-S--2504--SE, Swedish Defence Research Agency, 2007)
Building a dynamic common operational picture from intelligence reports (journal version)

Svensson, P. and Schubert, J. (Eds.)
A special issue of the journal information fusion on FUSION 2004: the seventh international conference on information fusion − part IIlänk till annan webbplats, öppnas i nytt fönster, Information Fusion 8(1) (2007) 1−112. (FOI-S--2528--SE, Swedish Defence Research Agency, 2007)
This special issue of the journal Information Fusion consists of a few selected, substantially extended, and thoroughly revised papers from among the many that were originally presented at FUSION 2004, the Seventh International Conference on Information Fusion held 28 June–1 July 2004 in Stockholm, Sweden

2006

Svensson, P. and Schubert, J.
FUSION 2004: The seventh international conference on information fusionPDF (Guest editorial), Information Fusion 7(4) (2006) 342−345. (FOI-S--2391--SE, Swedish Defence Research Agency, 2006)
The guest editorial of the special issue of the journal Information Fusion on FUSION 2004: The seventh international conference on information fusion

Svensson, P. and Schubert, J. (Eds.)
A special issue of the journal information fusion on FUSION 2004: the seventh international conference on information fusion − part Ilänk till annan webbplats, öppnas i nytt fönster, Information Fusion 7(4) (2006) 341−452. (FOI-S--2527--SE, Swedish Defence Research Agency, 2007)
This special issue of the journal Information Fusion consists of a few selected, substantially extended, and thoroughly revised papers from among the many that were originally presented at FUSION 2004, the Seventh International Conference on Information Fusion held 28 June–1 July 2004 in Stockholm, Sweden

Svensson, P.
On reliability and trustworthiness of high-level fusion-based decision support systems: basic concepts and possible formal methodologiesPDF, in Proceedings of the Ninth International Conference on Information Fusion (FUSION 2006), Florence, Italy, 10−13 July 2006. IEEE, Piscataway, NJ, 2006, Paper 51, pp. 1−8. (FOI-S--2261--SE, Swedish Defence Research Agency, 2006)

Svenson, P.
Complex networks and social network analysis in information fusionPDF, in Proceedings of the Ninth International Conference on Information Fusion (FUSION 2006), Florence, Italy, 10−13 July 2006. IEEE, Piscataway, NJ, 2006, Paper 80, pp. 1−7. (FOI-S--2262--SE, Swedish Defence Research Agency, 2006)

Suzic, R. and Svenson, P.
Capabilities-based plan recognitionPDF, in Proceedings of the Ninth International Conference on Information Fusion (FUSION 2006), Florence, Italy, 10−13 July 2006. IEEE, Piscataway, NJ, 2006, Paper 242, pp. 1−7. (FOI-S--2263--SE, Swedish Defence Research Agency, 2006)

Schubert, J. and Cantwell, J.
Computationally efficient multiple hypothesis association of intelligence reportsPDF, in Proceedings of the Ninth International Conference on Information Fusion (FUSION 2006), Florence, Italy, 10−13 July 2006. IEEE, Piscataway, NJ, 2006, Paper 276, pp. 1−6. (FOI-S--2256--SE, Swedish Defence Research Agency, 2006)
A multiple hypothesis association algorithm working as an interface between clustering of intelligence reports and automated evidential force aggregation using belief functions (Dempster-Shafer theory)

Schubert, J.
Managing decomposed belief functionsPDF, in Proceedings of the Eleventh International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'06), Paris, France, 2−7 July 2006. Éditions E.D.K., Paris, 2006, pp. 1428−1435. (FOI-S--2164--SE, Swedish Defence Research Agency, 2006)
Extending clustering of belief functions (Dempster-Shafer theory) to nonconsonant belief functions (conference version)

Bersini, H., Denoeux, T., Dubois, D., Prade, H. and Schubert, J.
In memoriam: Philippe Smets (1938–2005)PDF, Information Fusion 7(2) (2006) 240−244.

2005

Svenson, P.
Equivalence classes of future paths for sensor allocation and threat analysisPDF, in Signal and Data Processing of Small Targets 2005, O.E. Drummond (Ed.), Proceedings of SPIE Vol 5913, San Diego, USA, 31 July−4 August 2005. SPIE, Bellingham, WA, 2005, pp. 363−369. (FOI-S--1872--SE, Swedish Defence Research Agency, 2005)

Schubert, J. and Sidenbladh, H.
Sequential clustering with particle filters − estimating the number of clusters from dataPDF, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper A4-3, pp. 1−8. (FOI-S--1814--SE, Swedish Defence Research Agency, 2005)
Simultaneous clustering and determination of number of clusters using particle filtering

Mårtenson, C. and Svenson, P.
Evaluating sensor allocations using equivalence classes of multi-target pathsPDF, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper B9-1, pp. 1−8. (FOI-S--1817--SE, Swedish Defence Research Agency, 2005)
Defines the concept of equivalent classes of futures and shows how it can be used to evaluate sensor allocations

Svenson, P.
Capabilities-based force aggregation using random setsPDF, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper C7-4, pp. 1−7. (FOI-S--1818--SE, Swedish Defence Research Agency, 2005)
Describes an approach to force aggregation using observed capabilities and task-forces instead of standard doctrines

Sidenbladh, H., Svenson, P. and Schubert, J.
Comparing future situation picturesPDF, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper C10-4, pp. 1−6. (FOI-S--1823--SE, Swedish Defence Research Agency, 2005)
A measure of accuracy in threat prediction and a warning bell in threat analysis

Stavfors, F. and Svensson, P.
Recognizing mobile organizations from column formations using hierarchical hidden Markov models: a simulation experimentPDF, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, USA, 25−29 July 2005. IEEE, Piscataway, NJ, 2005, Paper D3-1, pp. 1−7. (FOI-S--1824--SE, Swedish Defence Research Agency, 2005)

Svenson, P.
Exploiting phase transitions for fusion optimization problemsPDF, in Signal Processing, Sensor Fusion, and Target Recognition XIV, I. Kadar (Ed.), Proceedings of SPIE Vol 5809, Orlando, USA, 28−31 March 2005. SPIE, Bellingham, WA, 2005, pp. 44−52. (FOI-S--1816--SE, Swedish Defence Research Agency, 2005)
Reviews the theory of phase transitions in optimization problems and discusses how they can be used in fusion processes

2004

Schubert, J.
Clustering belief functions based on attracting and conflicting metalevel evidence using Potts spin mean field theoryPDF, Information Fusion 5(4) (2004) 309−318. (FOI-S--1414--SE, Swedish Defence Research Agency, 2004)
The computation of including attracting evidence when clustering belief functions (Dempster-Shafer theory)

Schubert, J., Mårtenson, C., Sidenbladh, H., Svenson, P. and Walter, J.
Methods and system design of the IFD03 information fusion demonstratorPDF, in Proceedings of the Ninth International Command and Control Research and Technology Symposium, Copenhagen, Denmark, 14−16 September 2004. US Department of Defence CCRP, Washington, DC, 2004. (FOI-S--1363--SE, Swedish Defence Research Agency, 2004)
The methods of building a dynamic common operational picture from intelligence reports

Sidenbladh, H.
Detecting human motion with support vector machinesPDF, in Proceedings of the 17th IAPR International Conference on Pattern Recognition, Cambridge, UK, 23−26 August 2004, pp. 188−191. (FOI-S--1359--SE, Swedish Defence Research Agency, 2004)

Ahlberg, S., Hörling, P., Jöred, K., Mårtenson, C., Neider, G., Schubert, J., Sidenbladh, H., Svenson, P., Svensson, P., Undén, K. and Walter, J.
The IFD03 information fusion demonstratorPDF, in Proceedings of the Seventh International Conference on Information Fusion (FUSION 2004), P. Svensson, J. Schubert (Eds.), Stockholm, Sweden, 28 June−1 July 2004. International Society of Information Fusion, Mountain View, CA, 2004, pp. 936−943. (FOI-S--1353--SE, Swedish Defence Research Agency, 2004)
Building a dynamic common operational picture from intelligence reports (conference version)

Svensson, P. and Schubert, J. (Eds.)
Proceedings of the Seventh International Conference on Information Fusionlänk till annan webbplats, öppnas i nytt fönster (FUSION 2004), Stockholm, Sweden, 28 June−1 July 2004. International Society of Information Fusion, Mountain View, CA, 2004. (Vol I: ISBN 91-7056-115-X, Vol II: ISBN 91-7056-116-8, CD-ROM: ISBN 91-7056-117-6). (FOI-S--1352--SE, Swedish Defence Research Agency, 2004)

Sidenbladh, H., Svenson, P. and Schubert, J.
Comparing multi-target trackers on different force unit levelsPDF, in Signal Processing, Sensor Fusion, and Target Recognition XIII, I. Kadar (Ed.), Proceedings of SPIE Vol 5429, Orlando, USA, 12−14 April 2004. SPIE, Bellingham, WA, 2004, pp. 306−314. (FOI-S--1358--SE, Swedish Defence Research Agency 2004)
Transforming probability hypothesis densities from different state-spaces and comparing them in order to evaluate the performance of two different trackers

Svenson, P.
Extremal optimization for sensor report pre-processingPDF, in Signal Processing, Sensor Fusion, and Target Recognition XIII, I. Kadar (Ed.), Proceedings of SPIE Vol 5429, Orlando, USA, 12−14 April 2004. SPIE, Bellingham, WA, 2004, pp. 162−171. (FOI-S--1357--SE, Swedish Defence Research Agency 2004)
Exploiting phase transitions in optimization problems and extremal optimization for assigning reports to tracks

2003

Schubert, J. 
Clustering belief functions based on attracting and conflicting metalevel evidencePDF, in Intelligent Systems for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy, R. R. Yager (Eds.). Elsevier Science, Amsterdam, 2003, pp. 349−360. (FOI-S--1049--SE, Swedish Defence Research Agency, 2003)
The mathematics of including attracting evidence when clustering belief functions (Dempster-Shafer theory) (book chaper version)

Sidenbladh, H.
Multi-target particle filtering for the probability hypothesis densityPDF, in Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), Cairns, Australia, 8−11 July 2003. IEEE, Piscataway, NJ, 2003, pp. 800−806. (FOI-S--0937--SE, Swedish Defence Research Agency, 2003)

Svenson, P. and Sidenbladh, H.
Determining possible avenues of approach using ANTSPDF, in Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), Cairns, Australia, July 8−11 2003. IEEE, Piscataway, NJ, 2003, pp. 1110−1117. (FOI-S--0943--SE, Swedish Defence Research Agency, 2003)
Download Demonstration Videoöppnas i nytt fönster [mp4]

Schubert, J.
Evidential force aggregationPDF, in Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), Cairns, Australia, 8−11 July 2003. IEEE, Piscataway, NJ, 2003, pp. 1223−1229. (FOI-S--0960--SE, Swedish Defence Research Agency, 2003)
Automatic recognition of military force structures from intelligence reports based on evidential templates using belief functions (Dempster-Shafer theory)

Svensson, P. and Hörling, P.
Building an information fusion demonstratorPDF, in Proceedings of the Sixth International Conference on Information Fusion (FUSION 2003), Cairns, Australia, 8−11 July 2003. IEEE, Piscataway, NJ, 2003, pp. 1316−1323. (FOI-S--0939--SE, Swedish Defence Research Agency, 2003)

Sidenbladh, H. and Wirkander, S.-L.
Tracking random sets of vehicles in terrainPDF, in Proceedings of the IEEE International Workshop on Multi-Object Tracking, Madison, USA, 21 June 2003. (FOI-S--0936--SE, Swedish Defence Research Agency, 2003)

Carling, C., Svenson, P., Mårtenson, C. and Carlsen, H.
A flock-based model for ad hoc communication networksPDF, in Proceedings of the Eight International Command and Control Research and Technology Symposium, Washington, DC, USA, 17−19 June 2003. US Department of Defence CCRP, Washington, DC, 2003. (FOI-S--0919--SE, Swedish Defence Research Agency, 2003)
Applies graph analysis techniques to study communication networks of swarming military units

2002

Hörling, P., Mojtahed, V., Svensson, P. and Spearing, B.
Adapting a commercial simulation framework to the needs of information fusion researchPDF, in Proceedings of the Fifth International Conference on Information Fusion (FUSION 2002), Annapolis, USA, 8−11 July 2002. IEEE, Piscataway, NJ, 2002, pp. 220−227. (FOI-S--0542--SE, Swedish Defence Research Agency, 2002)

Schubert, J.
Robust report level cluster-to-track fusionPDF, in Proceedings of the Fifth International Conference on Information Fusion (FUSION 2002), Annapolis, USA, 8−11 July 2002. IEEE, Piscataway, NJ, 2002, pp. 913−918. (FOI-S--0525--SE, Swedish Defence Research Agency, 2002)
Multi-hypothesis measurement-to-track association using clustering and a sliding time window where measurements may be re-associated based on future incoming measurements

Schubert, J.
Clustering belief functions based on attracting and conflicting metalevel evidencePDF, in Proceedings of the Ninth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'02), Annecy, France, 1−5 July 2002, pp. 571−578. (FOI-S--0524--SE, Swedish Defence Research Agency, 2002)
The mathematics of including attracting evidence when clustering belief functions (Dempster-Shafer theory) (proceedings version)

Xiong, N. and Svensson, P.
Multi-sensor management for information fusion: Issues and approachesPDF, Information Fusion 3(2) (2002) 163−186. (FOI-S--0505--SE, Swedish Defence Research Agency, 2002)

2001

Schubert, J.
Reliable force aggregation using a refined evidence specification from Dempster-Shafer clusteringPDF, in Proceedings of the Fourth International Conference on Information Fusion (FUSION 2001), Montréal, Canada, 7−10 August 2001. International Society of Information Fusion, Sunnyvale, CA, 2001, pp. TuB3/15−22. (FOI-S--0050--SE, Swedish Defence Research Agency, 2001)
Deep integration of clustering and classification into an integrated aggregation method using belief functions (Dempster-Shafer theory)

Cantwell, J., Schubert, J. and Walter, J.
Conflict-based force aggregationPDF, in Proceedings of the Sixth International Command and Control Research and Technology Symposium, Annapolis, USA, 19−21 June 2001. US Department of Defence CCRP, Washington, DC, 2001. (FOI-S--0040--SE, Swedish Defence Research Agency, 2001)
Automatic recognition of military force structures from intelligence reports based on conflicts using belief functions (Dempster-Shafer theory)

Bengtsson, M. and Schubert, J.
Dempster-Shafer clustering using Potts spin mean field theoryPDF, Soft Computing 5(3) (2001) 215−228. (FOI-S--0027--SE, Swedish Defence Research Agency, 2001)
The fastest clustering of belief functions (Dempster-Shafer theory) using Potts spin: The methods

Cantwell, J., Schubert, J. and Walter, J.
Conflict-based force aggregation, in Working Notes of the Swedish Artificial Intelligence Society Annual Workshop 2001 (SAIS 2001), Part 1, Skövde, Sweden, 28−29 March 2001. Swedish Artificial Intelligence Society, Linköping, 2001.

2000

Björnfot, J. and Svensson, P.
Modeling the column recognition problem in tactical information fusionPDF, in Proceedings of the Third International Conference on Information Fusion (FUSION 2000), Paris, France, 10−13 July 2000. IEEE, Piscataway, NJ, 2000, pp. MoD1/24−30. (FOA-B--00-00621-505--SE, Defence Research Establishment, 2000)

Schubert, J.
Managing inconsistent intelligencePDF, in Proceedings of the Third International Conference on Information Fusion (FUSION 2000), Paris, France, 10−13 July 2000. IEEE, Piscataway, NJ, 2000, pp. TuB4/10−16. (FOA-B--00-00619-505--SE, Defence Research Establishment, 2000)
Applying Potts Spin clustering of belief functions (Dempster-Shafer theory) to intelligence analysis: The processes

1999

Schubert, J.
Fast Dempster-Shafer clustering using a neural network structurePDF, in Information, Uncertainty and Fusion, B. Bouchon-Meunier, R. R. Yager, L. A. Zadeh (Eds.). Kluwer Academic Publishers (SECS 516), Boston, MA, 1999, pp. 419−430. (FOA-B--99-00504-505--SE, Defence Research Establishment, 1999)
Clustering belief functions (Dempster-Shafer theory) with neural networks (book chapter version)

Schubert, J.
Simultaneous Dempster-Shafer clustering and gradual determination of number of clusters using a neural network structurePDF, in Proceedings of the 1999 Information, Decision and Control Conference (IDC'99), Adelaide, Australia, 8−10 February 1999. IEEE, Piscataway, NJ, 1999, pp. 401−406. (FOA-B--99-00431-505--SE, Defence Research Establishment, 1999)
Clustering belief functions (Dempster-Shafer theory) with neural networks when the number of sources is unknown

1998

Schubert, J.
A neural network and iterative optimization hybrid for Dempster-Shafer clusteringPDF, in Proceedings of EuroFusion98 International Conference on Data Fusion (EF'98), M. Bedworth, J. O'Brien (Eds.), Great Malvern, UK, 6−7 October 1998, pp. 29−36. (FOA-B--98-00383-505--SE, Defence Research Establishment, 1998)
A hybrid algorithm where a neural clustering result is fed as the initial state to iterative optimization in order to improve performance using belief functions (Dempster-Shafer theory)

Schubert, J.
Fast Dempster-Shafer clustering using a neural network structurePDF, in Proceedings of the Seventh International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'98), Université de La Sorbonne, Paris, France, 6−10 July 1998. Editions EDK, Paris, 1998, pp. 1438−1445. (FOA-B--98-00355-505--SE, Defence Research Establishment, 1998)
Clustering belief functions (Dempster-Shafer theory) with neural networks (proceedings version)

Svensson, P.
Archipelagic ASW − a difficult enterprise in need of holistic approachesPDF, in Proceedings of the International Conference on Multisource-Multisensor Information Fusion (FUSION'98), Las Vegas, USA, 6−9 July 1998. CSREA Press, Athens, GA, 1998, pp. 410−417. (FOA-B--98-00363-505--SE, Defence Research Establishment, 1998)

Jöred, K. and Svensson, P.
Target tracking in archipelagic ASW: A not-so-impossible proposition?PDF, in Proceedings of Undersea Defence Technology Europe 98 (UDT Europe 98), P. Tyrell (Ed.), London, UK, 23−25 June 1998. Nexus Media Ltd., Swanley, 1998, pp. 172−175. (FOA-B--98-00364-505--SE, Defence Research Establishment, 1998)

1997

Schubert, J.
Analys och prediktering med osäkra data ur det geografiska rummetPDF, in Dokumentation av ULIs höstmöte (ULI'97), Session 5:3, Linköping, 22−23 October 1997. (FOA-B--97-00273-505--SE, Defence Research Establishment, 1997)

Johansson, K., Jöred K. and Svensson, P.
Submarine tracking using multi-sensor fusion and reactive planning for the positioning of passive sonobuoysPDF, in Proceedings of Hydroakustik 1997, N. Hörnqvist, E. Norrbrand (Eds.), Stockholm, Sweden, 9−10 September 1997. (FOA-R--97-00552-409--SE, Defence Research Establishment, 1997)

Bergsten, U., Schubert, J. and Svensson, P.
Applying data mining and machine learning techniques to submarine intelligence analysisPDF, in Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD'97), D. Heckerman, H. Mannila, D. Pregibon, R. Uthurusamy (Eds.), Newport Beach, USA, 14−17 August 1997. The AAAI Press, Menlo Park, CA, pp. 127−130. (FOA-B--97-00263-505--SE, Defence Research Establishment, 1997)
Analyzing intelligence reports regarding submarine frontier incidents in Swedish territorial waters

Schubert, J.
Creating prototypes for fast classification in Dempster-Shafer clusteringPDF, in Qualitative and Quantitative Practical Reasoning, D. M. Gabbay, R. Kruse, A. Nonnengart, H. J. Ohlbach (Eds.), Proceedings of the First International Joint Conference on Qualitative and Quantitative Practical Reasoning (ECSQARU-FAPR'97), Bad Honnef, Germany, 9−12 June 1997. Springer-Verlag (LNAI 1244), Berlin, 1997, pp. 525−535. (FOA-B--97-00244-505--SE, Defence Research Establishment, 1997)
Changing a clustering problem into a fast classification problem using belief functions (Dempster-Shafer theory)

1996

Schubert, J.
Specifying nonspecific evidencePDF, International Journal of Intelligent Systems 11(8), 525−563, 1996. (FOA-B--96-00174-3.4--SE, Defence Research Establishment, 1996)
Using incremental results when clustering belief functions (Dempster-Shafer theory) in order to specify propositions

1995

Schubert, J.
On ρ in a decision-theoretic apparatus of Dempster-Shafer theoryPDF, International Journal of Approximate Reasoning 13(3), 185−200, 1995. (FOA-B--95-00097-3.4--SE, Defence Research Establishment, 1995)
Decision making for competing decision makers using belief functions (Dempster-Shafer theory)

Schubert, J.
Cluster-based specification techniques in Dempster-Shafer theory for an evidential intelligence analysis of multiple target tracksPDF (thesis abstract), Australian Journal of Intelligent Information Processing Systems 2(1), 70, 1995. (FOA-B--95-00080-3.4--SE, Defence Research Establishment, 1995)

Schubert, J.
Cluster-based specification techniques in Dempster-Shafer theory for an evidential intelligence analysis of multiple target tracksPDF (thesis abstract), AI Communications 8(2) (1995) 107−110. (FOA-B--95-00079-3.4--SE, Defence Research Establishment, 1995)

Schubert, J.
Cluster-based specification techniques in Dempster-Shafer theoryPDF, in Symbolic and Quantitative Approaches to Reasoning and Uncertainty, C. Froidevaux, J. Kohlas (Eds.), Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'95), Université de Fribourg, Switzerland, 3−5 July 1995. Springer-Verlag (LNAI 946), Berlin, 1995, pp. 395−404. (FOA-B--95-00078-3.4--SE, Defence Research Establishment, 1995)
A summary of three articles on clustering belief functions (Dempster-Shafer theory)

Schubert, J.
Finding a posterior domain probability distribution by specifying nonspecific evidencePDF, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 3(2) (1995) 163−185. (FOA-B--95-00077-3.4--SE, Defence Research Establishment, 1995)
Finding the number of source when clustering belief functions (Dempster-Shafer theory)

1994

Schubert, J.
Cluster-Based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of Multiple Target TracksPDF, Ph.D. Thesis, TRITA-NA-9410, ISRN KTH/NA/R--94/10--SE, ISSN 0348-2952, ISBN 91-7170-801-4. Royal Institute of Technology, Sweden, 1994. (FOA-B--94-00014-3.4--SE, Defence Research Establishment, 1994)
(Advisor: Prof. Stefan Arnborg, Opponent: Prof. Philippe Smets)

1993

Bergsten, U. and Schubert, J.
Dempster's rule for evidence ordered in a complete directed acyclic graphPDF, International Journal of Approximate Reasoning 9(1) (1993) 37−73. (FOA Report B 20114-2.7, Defence Research Establishment, 1993)
A fast algorithm for calculating belief in transitions through states using belief functions (Dempster-Shafer theory)

Schubert, J.
On nonspecific evidencePDF, International Journal of Intelligent Systems 8(6) (1993) 711−725. (FOA Report B 20112-2.7, Defence Research Establishment, 1993)
The first article on clustering belief functions (Dempster-Shafer theory)

1989

Bergsten, U., Schubert, J. and Svensson, P.
Beslutsstödssystemet DEZZY − en översiktPDF, in Dokumentation 7 juni av Seminarium och fackutställning om samband, sensorer och datorer för ledningssystem till försvaret (MILINF'89), Enköping, Sweden, 5−9 June 1989. Telub AB, Växjö, 1989, pp. 07B2:19−31. (FOA Report B 20078-2.7, Defence Research Establishment, 1989) (in Swedish, with appendix in English)

Senast uppdaterad: 2019-02-22