Publikationer av Magnus Boman
Refereegranskade
Artiklar
[1]
J. Boberg et al., "Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH)," BMJ Open, vol. 13, no. 10, s. e069427, 2023.
[2]
A. E. Tate et al., "A genetically informed prediction model for suicidal and aggressive behaviour in teens," Translational Psychiatry, vol. 12, no. 1, 2022.
[3]
N. R. Ruiz et al., "Data-driven support to decision-making in molecular tumour boards for lymphoma : A design science approach," Frontiers in Oncology, vol. 12, 2022.
[4]
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, s. 4779-4793, 2022.
[5]
J. Wallert et al., "Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data," Translational Psychiatry, vol. 12, no. 1, 2022.
[6]
S. Eloranta och M. Boman, "Predictive models for clinical decision making : Deep dives in practical machine learning," Journal of Internal Medicine, vol. 292, no. 2, s. 278-295, 2022.
[7]
A. Fletcher-Sandersjoo et al., "Stockholm score of lesion detection on computed tomography following mild traumatic brain injury (SELECT-TBI) : study protocol for a multicentre, retrospective, observational cohort study," BMJ Open, vol. 12, no. 9, 2022.
[8]
M. F. Carbonell, M. Boman och P. Laukka, "Comparing supervised and unsupervised approaches to multimodal emotion recognition," PeerJ Computer Science, vol. 7, 2021.
[9]
J. F. Hayes et al., "Prediction of individuals at high risk of chronic kidney disease during treatment with lithium for bipolar disorder," BMC Medicine, vol. 19, no. 1, 2021.
[10]
N. Vesselinova et al., "Learning Combinatorial Optimization on Graphs : A Survey With Applications to Networking," IEEE Access, vol. 8, s. 120388-120416, 2020.
[11]
E. Forsell et al., "Predicting Treatment Failure in Regular Care Internet-Delivered Cognitive Behavior Therapy for Depression and Anxiety Using Only Weekly Symptom Measures," Journal of Consulting and Clinical Psychology, vol. 88, no. 4, s. 311-321, 2020.
[12]
M. Boman et al., "Toward Learning Machines at a Mother and Baby Unit," Frontiers in Psychology, vol. 11, 2020.
[13]
M. Boman et al., "Learning machines in Internet-delivered psychological treatment," Progress in artificial intelligence, vol. 8, no. 4, s. 475-485, 2019.
[14]
S. Borlenghi, M. Boman och A. Delin, "Modeling reservoir computing with the discrete nonlinear Schrodinger equation," Physical review. E, vol. 98, no. 5, 2018.
[15]
M. Boman och E. Kruse, "Supporting global health goals with information and communications technology," Global Health Action, vol. 10, 2017.
[16]
T. Heger och M. Boman, "Networked foresight : The case of EIT ICT Labs," Technological forecasting & social change, vol. 101, s. 147-164, 2015.
[17]
M. Boman och P. Sanches, "Sensemaking in Intelligent Data Analytics," Künstliche Intelligenz, vol. 29, no. 2, s. 143-152, 2015.
[18]
P. Sanches et al., "Knowing Your Population : Privacy-Sensitive Mining of Massive Data," Network and Communication Technologies, vol. 2, no. 1, s. 34-51, 2013.
[19]
B. Cakici och M. Boman, "A workflow for software development within computational epidemiology," Journal of Computational Science, vol. 2, no. 3, s. 216-222, 2011.
[20]
L. Brouwers et al., "Micro-simulation of a smallpox outbreak using official register data," Eurosurveillance, vol. 15, no. 35, s. 17-24, 2010.
[21]
[22]
L. Brouwers et al., "Economic consequences to society of pandemic H1N1 influenza 2009 : preliminary results for Sweden," Eurosurveillance, vol. 14, no. 37, s. 19333, 2009.
[23]
M. Boman och A. Sandin, "Implementing an agent trade server," Decision Support Systems, vol. 42, no. 1, s. 318-327, 2006.
[24]
P. Davidsson och M. Boman, "Distributed monitoring and control of office buildings by embedded agents," Information Sciences, vol. 171, no. 4, s. 293-307, 2005.
[25]
D. Lybäck och M. Boman, "Agent trade servers in financial exchange systems," ACM Transactions on Internet Technology, vol. 4, no. 3, s. 329-339, 2004.
[26]
J. Odelstad och M. Boman, "Algebras for Agent Norm-Regulation," Annals of Mathematics and Artificial Intelligence, vol. 42, no. 1-3, s. 141-166, 2004.
[27]
S. Nylander, M. Bylund och M. Boman, "Mobile access to real-time information-the case of autonomous stock brokering," Personal and Ubiquitous Computing, vol. 8, no. 1, s. 42-46, 2004.
[28]
L. Rasmusson och M. Boman, "Analytical expressions for Parrondo games," Fluctuation and Noise Letters, vol. 2, no. 4, s. L343-L348, 2002.
Konferensbidrag
[29]
D. F. Perez Ramirez et al., "DeepGANTT : A Scalable Deep Learning Scheduler for Backscatter Networks," i IPSN 2023 - Proceedings of the 2023 22nd International Conference on Information Processing in Sensor Networks, 2023, s. 163-176.
[30]
D. Corcoran, P. Kreuger och M. Boman, "A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning," i 2022 18Th International Conference On Network And Service Management (CNSM 2022) : INTELLIGENT MANAGEMENT OF DISRUPTIVE NETWORK TECHNOLOGIES AND SERVICES, 2022, s. 338-344.
[31]
E. Gogoulou et al., "Predicting treatment outcome from patient texts : The case of internet-based cognitive behavioural therapy," i EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, 2021, s. 575-580.
[32]
D. Corcoran, P. Kreuger och M. Boman, "Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning," i Proceedings of the 2021 17th International Conference on Network and Service Management : Smart Management for Future Networks and Services, CNSM 2021, 2021, s. 216-224.
[33]
D. Harz och M. Boman, "The scalability of trustless trust," i 22nd International Conference on Financial Cryptography and Data Security, FC 2018, 2019, s. 279-293.
[34]
M. Boman et al., "Learning Machines," i Learning, Inference and Control of Multi-Agent Systems, 2018, s. 610-613.
[35]
H. Moore, P. Sanches och M. Boman, "Ethnographies of Practice, Visioning and Foresight in Future-Oriented Technology Analysis," i Future-Oriented Technology Analysis Conference: Engage today to shape tomorrow, Brussels, 2014.
[36]
M. Boman och D. Gillblad, "Learning Machines for Computational Epidemiology," i Proceedings - 2014 IEEE International Conference on Big Data, 2014, s. 1-5.
[37]
M. Boman, "Speedwriting in Networked Foresight," i Innovation for Sustainable Economy & Society : The Proceedings of The XXV ISPIM Conference 2014, 2014.
[38]
T. Heger och M. Boman, "Value Creation from Networked Foresighting in the EIT ICT Labs," i Innovating in Global Markets : Challenges for Sustainable Growth, 2013.
[39]
M. Boman et al., "Syndromic Surveillance in the United Arab Emirates," i International Conference on Innovations in Information Technology (IIT), 2012, 2012, s. 31-35.
[40]
K. B. Gyllenbäck och M. Boman, "Narrative bridging," i Proceedings Design Computing and Cognition ’10, 2011, s. 525-544.
[41]
M. Boman och S. J. Johansson, "Modeling epidemic spread in synthetic populations - Virtual plagues in Massively Multiplayer Online Games," i 3rd Digital Games Research Association International Conference: "Situated Play", DiGRA 2007, 2007, s. 357-361.
Kapitel i böcker
[42]
M. Boman och T. Heger, "Circles of Impression : External Foresight in Global Enterprises," i Futures Thinking and Organizational Policy, D. A. Schreiber and Z. L. Berge red., : Palgrave Macmillan, 2019, s. 179-199.
[43]
M. Boman, "Who Were Where When? : On the Use of Social Collective Intelligence in Computational Epidemiology," i Social Collective Intelligence, Daniele Miorandi, Vincenzo Maltese, Michael Rovatsos, Anton Nijholt and James Stewart red., Switzerland : Springer, 2014, s. 203-225.
Icke refereegranskade
Artiklar
[44]
J. Wallert et al., "MULTI-PSYCH - A MULTIMODAL DATA PROJECT FOR DEPRESSION AND ANXIETY DISORDERS IN SWEDISH ROUTINE CLINICAL CARE," European Neuropsychopharmacology, vol. 63, s. E138-E139, 2022.
[45]
V. Kaldo et al., "AI-driven adaptive treatment strategies in internet-delivered CBT," European psychiatry, vol. 64, s. S20-S20, 2021.
Kapitel i böcker
[46]
L. Brouwers och M. Boman, "A computational agent model of flood management strategies," i Computational Methods for Agricultural Research: Advances and Applications, : IGI Global, 2010, s. 296-307.
Rapporter
[47]
M. Boman, "Artificial Intelligence in Cities of the Future : Viable Cities Report 2019:1," Stockholm, Viable Cities Report 2019: 1, Foresight Technical Report, 2019.
[48]
M. Boman och O. Kordas, "SWOT-analys av hur artificiell intelligens och maskininlärning påverkar Viable Cities : April 2018 – Viable Cities info 2018:1," Stockholm, Viable Cities Report 2018:2, Info, 2018.
[49]
M. Boman, "Digital Cities : Strategic White Paper," EIT European Institute of Innovation & Technology ICT Labs, 2013.
[50]
M. Boman, "Technical Foresight Report : Future Media Distribution," EIT European Institute of Innovation & Technology ICT Labs, 2013.
Övriga
[51]
K. Ghoorchian, M. Sahlgren och M. Boman, "An Efficient Graph-Based Model for Learning Representations," (Manuskript).
Senaste synkning med DiVA:
2023-12-08 01:14:51