Scientific Publications Decision Support Systems

2021

2020

N/A

2019

Aronsson, S., Artman, H., Brynielsson, J., Lindquist, S. and Ramberg, R.
Design of simulator training: a comparative study of Swedish dynamic decision-making training facilities, Cognition, Technology & Work (2019). (FOI-S--6288--SE, Swedish Defence Research Agency, 2020)

Gill, R., van de Kuijt, J., Rosell, M. and Johansson, R.
Disinformation in the cyber domain: Detection, impact, and counter-strategies, in Proceedings of the 24th International Command and Control Research and Technology Symposium (ICCRTS), Laurel, MD, USA, 29−31 October 2019. IC2I, Washington, DC, 2019, Paper 65, pp. 1−18. (FOI-S--6124--SE, Swedish Defence Research Agency, 2019)

Karasalo, M. and Schubert, J.
Developing horizon scanning methods for the discovery of scientific trends, in Proceedings of the 15th International Conference on Document Analysis and Recognition (ICDAR 2019), Sydney, Australia, 20−25 September 2019. IEEE, Piscataway, NJ, 2019, pp. 1055−1062. (FOI-S--6080--SE, Swedish Defence Research Agency, 2019)

Johansson, F.
Supervised classification of twitter accounts based on textual content of tweets, in Proceedings of the 10th Conference and Labs of the Evaluation Forum (CLEF 2019), Lugano, Switzerland, 9−12 September 2019, Paper 154, pp. 1−8. (FOI-S--6118--SE, Swedish Defence Research Agency, 2019)

Johansson, F. and Isbister, T.
FOI cross-domain authorship attribution for criminal investigations, in Proceedings of the 10th Conference and Labs of the Evaluation Forum (CLEF 2019), Lugano, Switzerland, 9−12 September 2019, Paper 198, pp. 1−9. (FOI-S--6117--SE, Swedish Defence Research Agency, 2019)

Berglind, T., Pelzer, B. and Kaati, L.
Levels of hate in online environments, in Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), Vancouver, Canada, 27−30 August 2019. ACM, New York, NY, pp. 842−847. (FOI-S--6230--SE, Swedish Defence Research Agency, 2020)

Isbister, T. and Johansson, F.
Dick-Preston and Morbo at SemEval-2019 task 4: Transfer learning for hyperpartisan news detection, in Proceedings of the 13th International Workshop on Semantic Evaluation (SemEval-2019), Minneapolis, MN, USA, 6−7 June 2019, pp. 939−949. (FOI-S--6049--SE, Swedish Defence Research Agency, 2019)

2018

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

Pelzer, B., Kaati, L. and Akrami, N.
Directed digital hate, in Proceedings of the 2018 IEEE International Conference on Intelligence and Security Informatics (ISI 2018), Miami, FL, USA, 8−10 November 2018. IEEE, Piscataway, NJ, 2018, pp. 205−210. (FOI-S--6229--SE, Swedish Defence Research Agency, 2020)

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

Fernquist, F. and Kaati, L.
Online monitoring of large events, in Proceedings of the 2018 European Intelligence and Security Informatics Conference (EISIC 2018), Karlskrona, Sweden, 24−25 October 2018. IEEE, Piscataway, NJ, pp. 47−53. (FOI-S--5939--SE, Swedish Defence Research Agency, 2018)

Hammar, P.
Simulation-driven automatic textual report generation for staff training, in Proceedings of the NATO Symposium on Multinational Interoperability: Agility for Military Training and Operational Applications, Innovation in Enterprise Level Consortiums and M&S Technology Development (MSG-159), Ottawa, Canada, 11−-12 October 2018. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2018, Paper YSA, pp. 1−5. (FOI-S--6228--SE, Swedish Defence Research Agency, 2020)

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

Karasalo, M., Nilsson, M., Rosell, M. and Wickenberg Bolin, U.
FOI DSS at SemEval-2018 task 1: Combining LSTM states, embeddings, and lexical features for affect analysis, in Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018), New Orleans, LA, USA, 5–6 June 2018, pp. 109–115. (FOI-S--6044--SE, Swedish Defence Research Agency, 2019)

Svenmarck, P., Luotsinen, L., Nilsson, M. and Schubert, J.
Possibilities and challenges for artificial intelligence in military applications, 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 fusion, 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 reporting, in Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2017), Orlando, FL, USA, 27 november−1 december 2017, paper 17133, pp. 1−12. (FOI-S--5820--SE, Swedish Defence Research Agency, 2017)

Toghiani-Rizi, B., Kamrani, F., Luotsinen, L. and Gisslén, L.
Evaluating deep reinforcement learning for computer generated forces in ground combat simulation, in Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), Banff, Canada, 5−8 October 2017. IEEE, Piscataway, NJ, 2017, pp. 3433−3438. (FOI-S--6100--SE, Swedish Defence Research Agency, 2019)

Roessingh, J. J., Toubman, A., van Oijen, J., Poppinga, G., Løvlid, R. A., Hou, M. and Luotsinen, L.
Machine learning techniques for autonomous agents in military simulations − Multum in parvo, in Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), Banff, Canada, 5−8 October 2017. IEEE, Piscataway, NJ, 2017, pp. 3445−3450. (FOI-S--6101--SE, Swedish Defence Research Agency, 2019)

Johansson, R., Hammar, P. and Thorén, P.
On simulation-based adaptive UAS behavior during jamming, 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 planning, 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)

García Lozano, M., Lilja, H., Tjörnhammar, E. and Karasalo, M.
Mama Edha at SemEval-2017 task 8: Stance classification with CNN and rules, in Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), Vancouver, Canada, 3−4 August 2017, pp. 481−485. (FOI-S--6045--SE, Swedish Defence Research Agency, 2017)

2016

Lilja, H., Brynielsson, J. and Lindquist, S.
Identifying radio communication inefficiency to improve air combat training debriefings, in Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2016), Orlando, FL, 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 training, in Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2016), Orlando, FL, USA, 28 November−2 December 2016, paper 16292, pp. 1−12. (FOI-S--5618--SE, Swedish Defence Research Agency, 2016)

Kamrani, F., Luotsinen, L. J. and Løvlid, R. A.
Learning objective agent behavior using a data-driven modeling approach, in Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), Budapest, Hungary, 9−12 October 2016. IEEE, Piscataway, NJ, 2016, pp. 2175−2181. (FOI-S--6103--SE, Swedish Defence Research Agency, 2019)

Luotsinen, L., Kamrani, F., Hammar, P., Jändel, M. and Løvlid, R. A.
Evolved creative intelligence for computer generated forces, in Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), Budapest, Hungary, 9−12 October 2016. IEEE, Piscataway, NJ, 2016, pp. 3063−3070. (FOI-S--6102--SE, Swedish Defence Research Agency, 2019)

Brynielsson, J., Franke, U., Tariq, M. A. and Varga, S.
Using cyber defense exercises to obtain additional data for attacker profiling , in Proceedings of the 14th IEEE International Conference on Intelligence and Security Informatics (ISI 2016), Tucson, AZ, 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 forum, in Proceedings of the 14th IEEE International Conference on Intelligence and Security Informatics (ISI 2016), Tucson, AZ, 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 media, in Proceedings of the 14th IEEE International Conference on Intelligence and Security Informatics (ISI 2016), Tucson, AZ, 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 fusion, 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 hypotheses, 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 classification, 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 management, 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 Conference (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 manifestos, 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 darknets, 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)

Luotsinen, L.
POPSIM: A platform targeting the modeling and simulation of human populations in urban environments, in Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques (SIMUTools'14), Lisbon, Portugal, 17−19 March 2014. ICST, Brussels, Belgium, 2014, pp. 160−165.
(FOI-S--6106--SE, Swedish Defence Research Agency, 2019)

Brynielsson, J., Franke, U. and Varga, S.
Cyber situational awareness testing, 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 planning, in Modeling and Simulation for Defense and Commercial Systems and Applications XI, S. Harkrider, A. L. Paolini (Eds.), Proceedings of SPIE Vol 9848, Baltimore, MD, 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 environments, 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 activities, 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 Twitter, in Proceedings of the 2015 IEEE International Conference on Data Mining Workshop (ICDMW), Atlantic City, NJ, 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-making, 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 planning, 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)

Luotsinen, L. J. and Løvlid, R. A.
Data-driven behavior modeling for computer generated forces, in Proceedings of the Modelling and Simulation Support to Operational Tasks Including War Gaming, Logistics, Cyber Defence (MSG-133), Munich, Germany, 15−16 October 2015. NATO Research and Technology Organisation, Neuilly-sur-Seine, France, 2015, Paper 2, pp. 1−13. (FOI-S--6104--SE, Swedish Defence Research Agency, 2019)

Johansson, F., Kaati, L. and Shrestha, A.
Timeprints for identifying social media users with multiple aliases, 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 accounts, 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 analysis, 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 Administration, 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 SILF, 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 demining, 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 databases, 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 plans, 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 , in Proceedings of the Winter Simulation Conference 2014 (WSC 2014), Savannah, GA, 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 services, 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 study, in Proceedings of the Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC 2014), Orlando, FL, 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 analysis, 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 prediction, 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 planning, 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)

Luotsinen, L., Moradi, F. and Walldén, M.
An agent-based serious gaming application targeting the training of military staffs in urban operations, in Proceedings of the 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 17, pp. 1−12. (FOI-S--6105--SE, Swedish Defence Research Agency, 2019)

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 plans, in Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2014), San Diego, CA, 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
Computers & Security 46 (2014) 18−31. (FOI-S--4736--SE, Swedish Defence Research Agency, 2014)

Jändel, M.
Decision support for releasing anoymised data, 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 case, 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 functions, 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 crises, Security Informatics 2014 3:7. (FOI-S--4785--SE, Swedish Defence Research Agency, 2014)

Schubert, J.
Partial ranking by incomplete pairwise comparisons using preference subsets, 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 Twitter, 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 study, 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 planning, 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 information, 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 applications, 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 options, Journal of Information Science and Engineering 30(2) (2014) 519–534. (FOI-S--4665--SE, Swedish Defence Research Agency, 2014)

Luotsinen, L.
POPSIM: A platform targeting the modeling and simulation of human populations in urban environments, in Proceedings of the 7th International ICST Conference on Simulation Tools and Techniques (SIMUTools'14), Lisbon, Portugal, 17−19 March 2014. ICST, Brussels, Belgium, 2014, pp. 160−165.
(FOI-S--6106--SE, Swedish Defence Research Agency, 2019)

Cohen, K., Johansson, F., Kaati, L. and Mork, J. C.
Detecting linguistic markers for radical violence in social media, 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 machines, 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 operability, 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 model, 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 planning, 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 operations, 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 algorithms, 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 planning, 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-making, 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 systems, 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 media, 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 work, 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 case, 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 information, 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 Conference (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 tool, 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, NV, 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 terrorists, Security Informatics 2013 2:11. (FOI-S--4594--SE, Swedish Defence Research Agency, 2013)

Jändel, M.
Computational creativity for counterdeception in information fusion, 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 data, 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 governments, 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-making, in Proceedings of the Fourth International Conference on Computational Creativity (ICCC 2013), M. L. Maher, T. Veale, R. Saunders, O. Bown (Eds.), 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 tweets, in Proceedings of the2013 IEEE Intelligence and Security Informatics Conference (ISI 2013), Seattle, WA, 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 maps, 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 framework, 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 appraisal, 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 zones, 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 operations, 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 cybercrime, 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 research, 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 system, 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 boards, 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 cybercrime, 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 analysis, 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 terrorists, 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 analysis, 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 tool
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 networks, 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 fusion, 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 actions, 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 detection, 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 framework, 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 models, 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 activities, in Proceedings of the 17th International Command and Control Research and Technology Symposium (ICCRTS), Fairfax, VA, 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 function, 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 communication, 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 relations, 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 discernment, 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 targets, 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 tool, In Proceedings of the Sixth International Conference on Semantic Technologies for Intelligence, Defense, and Security (STIDS 2011), Fairfax, VA, 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 framework, 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 data, in Proceedings of the 2011 IEEE International Conference on Systems, Man and Cybernetics (SMC 2011), Anchorage, AK, 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 agents, in Proceedings of the 2011 IEEE International Conference on Systems, Man and Cybernetics (SMC 2011), Anchorage, AK, 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 space, 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 validation, in Proceedings of the 2011 Fall Simulation Interoperability Workshop (SIW), Orlando, FL, 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 networks, 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 support, 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 terrorist, 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 visualization, 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 community, in Proceedings of the 14th International Conference on Information Fusion (FUSION 2011), Chicago, IL, 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 levels, 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 simulation, 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 nets, 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 robotics, 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 communication, 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 agents, 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 falsity, 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 observations, 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 nets, 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 operations, 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 planning,
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 behaviour, 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 models, 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 planning, 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 programme, 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 simulation, in Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2010), 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 recognition, 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 support, 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 assessment, 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 analysis, 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 machines, 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 repository, 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 subproblems, 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 machine, 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 simulation, in Proceedings of the 24th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation (PADS 2010), Atlanta, GA, 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 plans, 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 discernment, 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 education, 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 model, in Proceeding of the Winter Simulation Conference 2009 (WSC'09), Austin, TX, 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 composition, 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 planning, 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 discovery, 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 models, 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 automata, 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 diagram, in Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, WA, 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 results, in Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, WA, 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 2008, in Proceedings of the Twelfth International Conference on Information Fusion (FUSION 2009), Seattle, WA, 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 analysis, 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 work, 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 networks, 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 domain, in Proceedings of the 2009 Semantic Technology Conference, San Jose, CA, 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 services, 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, FL, 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 recognition, 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 intentions, 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, FL, 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 experiments, in Proceedings of the 40th ACM technical symposium on Computer science education (SIGCSE '09), Chattanooga, TN, USA, 4−7 March 2009. ACM, Chattanooga, TN, 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 functions, 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 survey (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 assessment, 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 falsity, 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 control, in Proceedings of the 13th International Command and Control Research Technology Symposium, Seattle, WA, 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 crime, 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 classification, 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 planning, 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 conflict, 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 BOM, in Proceedings of the 2008 Spring Simulation Interoperability Workshop (SIW), Providence, RI, 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 fusion, 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 survivability, 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 strategies, in Proceedings of the Third IEEE Workshop on Situation Management (SIMA 2007), Orlando, FL, 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 awareness, 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 classification, 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 planning, 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 awareness, in Proceedings of the 24th Annual Workshop of the Swedish Artificial Intelligence Society (SAIS 2007), 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 defense, 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 II, 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 fusion (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 I, 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 methodologies, 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 fusion, 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 recognition, 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 reports, 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 functions, 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), Information Fusion 7(2) (2006) 240−244.

2005

Svenson, P.
Equivalence classes of future paths for sensor allocation and threat analysis, in Signal and Data Processing of Small Targets 2005, O.E. Drummond (Ed.), Proceedings of SPIE Vol 5913, San Diego, CA, 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 data, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, PA, 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 paths, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, PA, 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 sets, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, PA, 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 pictures, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, PA, 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 experiment, in Proceedings of the Eighth International Conference on Information Fusion (FUSION 2005), Philadelphia, PA, 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 problems, in Signal Processing, Sensor Fusion, and Target Recognition XIV, I. Kadar (Ed.), Proceedings of SPIE Vol 5809, Orlando, FL, 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 theory, 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 demonstrator, 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 machines, 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 demonstrator, 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 Fusion (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 levels, in Signal Processing, Sensor Fusion, and Target Recognition XIII, I. Kadar (Ed.), Proceedings of SPIE Vol 5429, Orlando, FL, 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-processing, in Signal Processing, Sensor Fusion, and Target Recognition XIII, I. Kadar (Ed.), Proceedings of SPIE Vol 5429, Orlando, FL, 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 evidence, 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 density, 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 ANTS, 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 Video [mp4]

Schubert, J.
Evidential force aggregation, 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 demonstrator, 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 terrain, 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 networks, 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 research, in Proceedings of the Fifth International Conference on Information Fusion (FUSION 2002), Annapolis, MD, 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 fusion, in Proceedings of the Fifth International Conference on Information Fusion (FUSION 2002), Annapolis, MD, 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 evidence, 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 approaches, 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 clustering, 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 aggregation, in Proceedings of the Sixth International Command and Control Research and Technology Symposium, Annapolis, MD, 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 theory, 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 fusion, 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 intelligence, 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 structure, 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 structure, 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 clustering, 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 structure, in Proceedings of the Seventh International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU'98), 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 approaches, in Proceedings of the International Conference on Multisource-Multisensor Information Fusion (FUSION'98), Las Vegas, NV, 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?, 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 rummet, 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 sonobuoys, 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 analysis, 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, CA, 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 clustering, 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 evidence, 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 theory, 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 tracks (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 tracks (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 theory, 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), 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 evidence, 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 Tracks, 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 graph, 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 evidence, 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 översikt, 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)