Skip to main content

Publications by Magnus Boman



A. E. Tate et al., "A genetically informed prediction model for suicidal and aggressive behaviour in teens," Translational Psychiatry, vol. 12, no. 1, 2022.
R. Behravesh et al., "Machine Learning at the Mobile Edge : The Case of Dynamic Adaptive Streaming Over HTTP (DASH)," IEEE Transactions on Network and Service Management, vol. 19, no. 4, pp. 4779-4793, 2022.
S. Eloranta and M. Boman, "Predictive models for clinical decision making : Deep dives in practical machine learning," Journal of Internal Medicine, vol. 292, no. 2, pp. 278-295, 2022.
M. F. Carbonell, M. Boman and P. Laukka, "Comparing supervised and unsupervised approaches to multimodal emotion recognition," PeerJ Computer Science, vol. 7, 2021.
N. Vesselinova et al., "Learning Combinatorial Optimization on Graphs : A Survey With Applications to Networking," IEEE Access, vol. 8, pp. 120388-120416, 2020.
M. Boman et al., "Toward Learning Machines at a Mother and Baby Unit," Frontiers in Psychology, vol. 11, 2020.
M. Boman et al., "Learning machines in Internet-delivered psychological treatment," Progress in artificial intelligence, vol. 8, no. 4, pp. 475-485, 2019.
S. Borlenghi, M. Boman and A. Delin, "Modeling reservoir computing with the discrete nonlinear Schrodinger equation," Physical review. E, vol. 98, no. 5, 2018.
M. Boman and E. Kruse, "Supporting global health goals with information and communications technology," Global Health Action, vol. 10, 2017.
T. Heger and M. Boman, "Networked foresight : The case of EIT ICT Labs," Technological forecasting & social change, vol. 101, pp. 147-164, 2015.
M. Boman and P. Sanches, "Sensemaking in Intelligent Data Analytics," Künstliche Intelligenz, vol. 29, no. 2, pp. 143-152, 2015.
P. Sanches et al., "Knowing Your Population : Privacy-Sensitive Mining of Massive Data," Network and Communication Technologies, vol. 2, no. 1, pp. 34-51, 2013.
B. Cakici and M. Boman, "A workflow for software development within computational epidemiology," Journal of Computational Science, vol. 2, no. 3, pp. 216-222, 2011.
L. Brouwers et al., "Micro-simulation of a smallpox outbreak using official register data," Eurosurveillance, vol. 15, no. 35, pp. 17-24, 2010.
M. Boman, "Commentary : The joy of mesh," BMJ. British Medical Journal, vol. 337, pp. a2500, 2009.
L. Brouwers et al., "Economic consequences to society of pandemic H1N1 influenza 2009 : preliminary results for Sweden," Eurosurveillance, vol. 14, no. 37, pp. 19333, 2009.
M. Boman and A. Sandin, "Implementing an agent trade server," Decision Support Systems, vol. 42, no. 1, pp. 318-327, 2006.
P. Davidsson and M. Boman, "Distributed monitoring and control of office buildings by embedded agents," Information Sciences, vol. 171, no. 4, pp. 293-307, 2005.
D. Lybäck and M. Boman, "Agent trade servers in financial exchange systems," ACM Transactions on Internet Technology, vol. 4, no. 3, pp. 329-339, 2004.
J. Odelstad and M. Boman, "Algebras for Agent Norm-Regulation," Annals of Mathematics and Artificial Intelligence, vol. 42, no. 1-3, pp. 141-166, 2004.
S. Nylander, M. Bylund and M. Boman, "Mobile access to real-time information-the case of autonomous stock brokering," Personal and Ubiquitous Computing, vol. 8, no. 1, pp. 42-46, 2004.
L. Rasmusson and M. Boman, "Analytical expressions for Parrondo games," Fluctuation and Noise Letters, vol. 2, no. 4, pp. L343-L348, 2002.


D. F. Perez Ramirez et al., "DeepGANTT : A Scalable Deep Learning Scheduler for Backscatter Networks," in IPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks, 2023, pp. 163-176.
D. Corcoran, P. Kreuger and M. Boman, "A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning," in 2022 18Th International Conference On Network And Service Management (CNSM 2022) : INTELLIGENT MANAGEMENT OF DISRUPTIVE NETWORK TECHNOLOGIES AND SERVICES, 2022, pp. 338-344.
E. Gogoulou et al., "Predicting treatment outcome from patient texts : The case of internet-based cognitive behavioural therapy," in EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, 2021, pp. 575-580.
D. Corcoran, P. Kreuger and M. Boman, "Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning," in Proceedings of the 2021 17th International Conference on Network and Service Management : Smart Management for Future Networks and Services, CNSM 2021, 2021, pp. 216-224.
D. Harz and M. Boman, "The scalability of trustless trust," in 22nd International Conference on Financial Cryptography and Data Security, FC 2018, 2019, pp. 279-293.
M. Boman et al., "Learning Machines," in Learning, Inference and Control of Multi-Agent Systems, 2018, pp. 610-613.
H. Moore, P. Sanches and M. Boman, "Ethnographies of Practice, Visioning and Foresight in Future-Oriented Technology Analysis," in Future-Oriented Technology Analysis Conference: Engage today to shape tomorrow, Brussels, 2014.
M. Boman and D. Gillblad, "Learning Machines for Computational Epidemiology," in Proceedings - 2014 IEEE International Conference on Big Data, 2014, pp. 1-5.
M. Boman, "Speedwriting in Networked Foresight," in Innovation for Sustainable Economy & Society : The Proceedings of The XXV ISPIM Conference 2014, 2014.
T. Heger and M. Boman, "Value Creation from Networked Foresighting in the EIT ICT Labs," in Innovating in Global Markets : Challenges for Sustainable Growth, 2013.
M. Boman et al., "Syndromic Surveillance in the United Arab Emirates," in International Conference on Innovations in Information Technology (IIT), 2012, 2012, pp. 31-35.
K. B. Gyllenbäck and M. Boman, "Narrative bridging," in Proceedings Design Computing and Cognition ’10, 2011, pp. 525-544.
M. Boman and S. J. Johansson, "Modeling epidemic spread in synthetic populations - Virtual plagues in Massively Multiplayer Online Games," in 3rd Digital Games Research Association International Conference: "Situated Play", DiGRA 2007, 2007, pp. 357-361.

Kapitel i böcker

M. Boman and T. Heger, "Circles of Impression : External Foresight in Global Enterprises," in Futures Thinking and Organizational Policy, D. A. Schreiber and Z. L. Berge Ed., : Palgrave Macmillan, 2019, pp. 179-199.
M. Boman, "Who Were Where When? : On the Use of Social Collective Intelligence in Computational Epidemiology," in Social Collective Intelligence, Daniele Miorandi, Vincenzo Maltese, Michael Rovatsos, Anton Nijholt and James Stewart Ed., Switzerland : Springer, 2014, pp. 203-225.

Icke refereegranskade


V. Kaldo et al., "AI-driven adaptive treatment strategies in internet-delivered CBT," European psychiatry, vol. 64, pp. S20-S20, 2021.

Kapitel i böcker

L. Brouwers and M. Boman, "A computational agent model of flood management strategies," in Computational Methods for Agricultural Research: Advances and Applications, : IGI Global, 2010, pp. 296-307.


M. Boman, "Artificial Intelligence in Cities of the Future : Viable Cities Report 2019:1," Stockholm, Viable Cities Report 2019: 1, Foresight Technical Report, 2019.
M. Boman, "Digital Cities : Strategic White Paper," EIT European Institute of Innovation & Technology ICT Labs, 2013.
M. Boman, "Technical Foresight Report : Future Media Distribution," EIT European Institute of Innovation & Technology ICT Labs, 2013.


K. Ghoorchian, M. Sahlgren and M. Boman, "An Efficient Graph-Based Model for Learning Representations," (Manuscript).
Senaste synkning med DiVA:
2023-12-08 01:14:51