Magnus Boman

Publikationer
Forskningsbidrag
Populärvetenskap och samverkan

Artiklar

Journal article: DIGITAL SOCIETY. 2023;2(3):46

Human-Curated Validation of Machine Learning Algorithms for Health Data

Boman M
Article: BMJ OPEN. 2023;13(10):e069427

Swedish multimodal cohort of patients with anxiety or depression treated with internet-delivered psychotherapy (MULTI-PSYCH).

Boberg J; Kaldo V; Mataix-Cols D; Crowley JJ; Roelstraete B; Halvorsen M; Forsell E; Isacsson NH; Sullivan PF; Svanborg C; Andersson EH; Lindefors N; Kravchenko O; Mattheisen M; Danielsdottir HB; Ivanova E; Boman M; Fernández de la Cruz L; Wallert J; Rück C
Journal article: BRAIN AND SPINE. 2023;3:101963

Evaluation and external validation of machine learning models predicting full spectrum GOSE outcome following traumatic brain injury

Bark D; Boman M; Depreitere B; Wright DW; Lewén A; Enblad P; Hånell A; Rostami E
Article: IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT. 2022;19(4):4779-4793

Machine Learning at the Mobile Edge: The Case of Dynamic Adaptive Streaming Over HTTP (DASH)

Behravesh R; Rao A; Perez-Ramirez DF; Harutyunyan D; Riggio R; Boman M
Article: TRANSLATIONAL PSYCHIATRY. 2022;12(1):488

A genetically informed prediction model for suicidal and aggressive behaviour in teens.

Tate AE; Akingbuwa WA; Karlsson R; Hottenga J-J; Pool R; Boman M; Larsson H; Lundström S; Lichtenstein P; Middeldorp CM; Bartels M; Kuja-Halkola R
Journal article: EUROPEAN NEUROPSYCHOPHARMACOLOGY. 2022;63:e138-e139

MULTI-PSYCH - A MULTIMODAL DATA PROJECT FOR DEPRESSION AND ANXIETY DISORDERS IN SWEDISH ROUTINE CLINICAL CARE

Wallert J; Boberg J; Kaldo V; Roelstraete B; Crowley J; Halvorsen M; Isacsson NH; Sullivan P; Kravchenko O; Mattheisen M; Ivanova E; Boman M; Fernandez de la Cruz L; Mataix-Cols D; Ruck C
Article: BMJ OPEN. 2022;12(9):e060679

Stockholm score of lesion detection on computed tomography following mild traumatic brain injury (SELECT-TBI): study protocol for a multicentre, retrospective, observational cohort study.

Fletcher-Sandersjöö A; Tatter C; Yang L; Pontén E; Boman M; Lassarén P; Forsberg S; Grönlund I; Tidehag V; Rubenson-Wahlin R; Strömmer L; Westberg K; Ängeby K; Djärv T; Lundblad O; Bartek J; Thelin EP
Article: TRANSLATIONAL PSYCHIATRY. 2022;12(1):357

Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data.

Wallert J; Boberg J; Kaldo V; Mataix-Cols D; Flygare O; Crowley JJ; Halvorsen M; Ben Abdesslem F; Boman M; Andersson E; Hentati Isacsson N; Ivanova E; Rück C
Article: FRONTIERS IN ONCOLOGY. 2022;12:984021

Data-driven support to decision-making in molecular tumour boards for lymphoma: A design science approach.

Rodríguez Ruiz N; Abd Own S; Ekström Smedby K; Eloranta S; Koch S; Wästerlid T; Krstic A; Boman M
Article: BMC MEDICINE. 2021;19(1):99

Prediction of individuals at high risk of chronic kidney disease during treatment with lithium for bipolar disorder.

Hayes JF; Osborn DPJ; Francis E; Ambler G; Tomlinson LA; Boman M; Wong ICK; Geddes JR; Dalman C; Lewis G
Article: PEERJ COMPUTER SCIENCE. 2021;7:e804

Comparing supervised and unsupervised approaches to multimodal emotion recognition.

Fernández Carbonell M; Boman M; Laukka P
Article: JOURNAL OF CONSULTING AND CLINICAL PSYCHOLOGY. 2020;88(4):311-321

Predicting treatment failure in regular care Internet-Delivered Cognitive Behavior Therapy for depression and anxiety using only weekly symptom measures.

Forsell E; Isacsson N; Blom K; Jernelöv S; Ben Abdesslem F; Lindefors N; Boman M; Kaldo V
Article: FRONTIERS IN PSYCHOLOGY. 2020;11:567310

Toward Learning Machines at a Mother and Baby Unit.

Boman M; Downs J; Karali A; Pawlby S
Article: IEEE ACCESS. 2020;8:120388-120416

Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking

Vesselinova N; Steinert R; Perez-Ramirez DF; Boman M
Journal article: PROGRESS IN ARTIFICIAL INTELLIGENCE. 2019;8(4):475-485

Learning machines in Internet-delivered psychological treatment

Boman M; Ben Abdesslem F; Forsell E; Gillblad D; Gornerup O; Isacsson N; Sahlgren M; Kaldo V
Article: PHYSICAL REVIEW E. 2018;98(5):052101

Modeling reservoir computing with the discrete nonlinear Schrodinger equation

Borlenghi S; Boman M; Delin A
Article: GLOBAL HEALTH ACTION. 2017;10(sup3):1321904

Supporting global health goals with information and communications technology.

Boman M; Kruse E
Article: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. 2015;101:147-164

Networked foresight-The case of EIT ICT Labs

Heger T; Boman M
Journal article: KI - KUNSTLICHE INTELLIGENZ. 2015;29(2):143-152

Sensemaking in Intelligent Health Data Analytics

Boman M; Sanches P
Journal article: NETWORK AND COMMUNICATION TECHNOLOGIES. 2013;2(1)

Knowing Your Population: Privacy-Sensitive Mining of Massive Data

Sanches P; Svee E-O; Bylund M; Hirsch B; Boman M
Article: JOURNAL OF COMPUTATIONAL SCIENCE. 2011;2(3):216-222

A workflow for software development within computational epidemiology

Cakici B; Boman M
Article: EUROSURVEILLANCE. 2010;15(35):19651-24

Micro-simulation of a smallpox outbreak using official register data.

Brouwers L; Boman M; Camitz M; Mäkilä K; Tegnell A
Article: EUROSURVEILLANCE. 2009;14(37):19333-11

Economic consequences to society of pandemic H1N1 influenza 2009 - preliminary results for Sweden.

Brouwers L; Cakici B; Camitz M; Tegnell A; Boman M
Article: DECISION SUPPORT SYSTEMS. 2006;42(1):318-327

Implementing an agent trade server

Boman M; Sandin A
Article: INFORMATION SCIENCES. 2005;171(4):293-307

Distributed monitoring and control of office buildings by embedded agents

Davidsson P; Boman M
Journal article: ACM TRANSACTIONS ON INTERNET TECHNOLOGY. 2004;4(3):329-339

Agent trade servers in financial exchange systems

Lybäck D; Boman M
Journal article: INFO. 2004;6(3):169-171

Seamless mobility:more than it seems

Thorngren B; Andersson P; Bohlin E; Boman M
Article: PERSONAL AND UBIQUITOUS COMPUTING. 2004;8(1):42-46

Mobile access to real-time information-the case of autonomous stock brokering

Nylander S; Bylund M; Boman M
Article: FLUCTUATION AND NOISE LETTERS. 2002;2(4):L343-L348

Analytical expressions for Parrondo games

Rasmusson L; Boman M
Journal article: ELECTRONIC COMMERCE RESEARCH. 2001;1(1-2):149-158

Agent-Based Social Simulation in Markets

Bertels K; Boman M
Journal article: ELECTRONIC COMMERCE RESEARCH. 2001;1(1-2):159-168

Artificial Agent Action in Markets

Boman M; Brouwers L; Hansson K; Jansson C-G; Kummeneje J; Verhagen H
Journal article: JOURNAL OF RISK RESEARCH. 2001;4(1):31-47

General risk constraints

Ekenberg L; Boman M; Linnerooth-Bayer J
Journal article: ARTIFICIAL INTELLIGENCE AND LAW. 1999;7(1):17-35

Norms in artificial decision making

Boman M
Article: DECISION SUPPORT SYSTEMS. 1997;20(1):3-15

Imposing security constraints on agent-based decision support

Ekenberg L; Danielson M; Boman M
Article: INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS. 1996;5(2-3):315-331

From local assessments to global rationality

Ekenberg L; Danielson M; Boman M
Journal article: APPLIED ARTIFICIAL INTELLIGENCE. 1994;8(4):543-563

FIELDED MACHINE LEARNING SYSTEM FOR VOCATIONAL COUNSELLING

KJELLIN H; BOMAN M
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Conference publication: 2023;:163-176

DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks

Perez-Ramirez DF; Pérez-Penichet C; Tsiftes N; Voigt T; Kostić D; Boman M
Preprint: 2023;Research Square

Machine learning predictions of outcome in Internet-based cognitive behavioral therapy: methodological choices and clinical usefulness

Isacsson NH; Abdesslem FB; Forsell E; Boman M; Kaldo V
Conference publication: 2022;00:338-344

A Sample Efficient Multi-Agent Approach to Continuous Reinforcement Learning

Corcoran D; Kreuger P; Boman M
Review: JOURNAL OF INTERNAL MEDICINE. 2022;292(2):278-295

Predictive models for clinical decision making: Deep dives in practical machine learning.

Eloranta S; Boman M
Preprint: 2022;PsyArXiv

A Genetically Informed Prediction Model for Suicidal and Aggressive Behaviour in Teens

Tate A; Akingbuwa W; Karlsson R; Hottenga J-J; Pool R; Boman M; Larsson H; Lundstrom S; Lichtenstein P; Middeldorp C; Bartels M; Kuja-Halkola R
Preprint: 2021;arXiv

DeepGANTT: A Scalable Deep Learning Scheduler for Backscatter Networks

Perez-Ramirez DF; Pérez-Penichet C; Tsiftes N; Voigt T; Kostic D; Boman M
Conference publication: 2021;00:216-224

Reinforcement Learning for Automated Energy Efficient Mobile Network Performance Tuning

Corcoran D; Kreuger P; Boman M
Preprint: 2021;medRxiv

Predicting remission after internet-delivered psychotherapy in patients with depression using machine learning and multi-modal data

Wallert J; Boberg J; Kaldo V; Mataix-Cols D; Flygare O; Crowley JJ; Halvorsen M; Abdesslem FB; Boman M; Andersson E; Isacsson NH; Ivanova E; Rück C
Meeting abstract: EUROPEAN PSYCHIATRY. 2021;64:S20

AI-driven adaptive treatment strategies in internet-delivered CBT

Kaldo V; Isacsson N; Forsell E; Bjurner P; Ben Abdesslem F; Boman M
Preprint: 2021;medRxiv

Prediction of individuals at high-risk of chronic kidney disease during treatment with lithium for bipolar disorder

Hayes JF; Osborn DP; Francis E; Ambler G; Tomlinson LA; Boman M; Wong I; Geddes J; Dalman C; Lewis G
Conference publication: 2021;:575-580

Predicting Treatment Outcome from Patient Texts:The Case of Internet-Based Cognitive Behavioural Therapy

Gogoulou E; Boman M; Ben Abdesslem F; Hentati Isacsson N; Kaldo V; Sahlgren M
Preprint: IEEE ACCESS. 2020;arXiv

Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking

Vesselinova N; Steinert R; Perez-Ramirez DF; Boman M
Book chapter: LECTURE NOTES IN COMPUTER SCIENCE. 2019;p. 279-293

The Scalability of Trustless Trust

Harz D; Boman M
Book chapter: 2019;p. 179-199

Circles of Impression: External Foresight in Global Enterprises

Boman M; Heger T
Preprint: 2018;arXiv

Modelling Reservoir Computing with the Discrete Nonlinear Schrödinger Equation

Borlenghi S; Boman M; Delin A
Preprint: 2018;arXiv

The Scalability of Trustless Trust

Harz D; Boman M
Preprint: 2014;arXiv

Knowing Your Population: Privacy-Sensitive Mining of Massive Data

Sanches P; Svee E-O; Bylund M; Hirsch B; Boman M
Conference publication: 2014;:1-5

Learning Machines for Computational Epidemiology

Boman M; Gillblad D
Book chapter: 2014;p. 203-225

Who Were Where When? On the Use of Social Collective Intelligence in Computational Epidemiology

Boman M
Preprint: 2013;arXiv

Artificial Decision Making Under Uncertainty in Intelligent Buildings

Boman M; Davidsson P; Younes HL
Preprint: 2013;SSRN Electronic Journal

Value Creation from Networked Foresighting in the EIT ICT Labs

Heger T; Boman M
Conference publication: 2012;:31-35

Syndromic surveillance in the United Arab Emirates

Boman M; Hosani FA; Cakici B; Guttmann C; Mannaei AA
Preprint: 2009;arXiv

A baseline for content-based blog classification

Gornerup O; Boman M
Editorial comment: BMJ-BRITISH MEDICAL JOURNAL. 2008;337:a2500

Commentary: the joy of mesh.

Boman M
Preprint: 2007;arXiv

Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games

Boman M; Johansson SJ
Book chapter: 2005;p. 305-316

Risk and Crises Management in Complex Systems

Bertels K; Jacques J-M; Boman M
Published paper: ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE. 2004;42(1-3):141-166

Algebras for agent norm-regulation

Odelstad J; Boman M
Book chapter: 2004;p. 95-118

Multi-Agent Systems, Time Geography, and Microsimulations

Boman M; Holm E
Preprint: 2003;arXiv

Algebras for Agent Norm-Regulation

Odelstad J; Boman M
Preprint: 2003;arXiv

Implementing an Agent Trade Server

Boman M; Sandin A
Published paper: LECTURE NOTES IN COMPUTER SCIENCE. 2003;2684:243-261

Anticipatory guidance of plot

Laaksolahti J; Boman M
Preprint: 2002;arXiv

Analytical Expressions for Parrondo Games

Rasmusson L; Boman M
Preprint: 2002;arXiv

Anticipatory Guidance of Plot

Laaksolahti J; Boman M
Preprint: 2002;arXiv

Trading Agents for Roaming Users

Boman M; Bylund M; Espinoza F; Danielson M; Lyback D
Preprint: 2002;arXiv

Parrondo Strategies for Artificial Traders

Boman M; Johansson S; Lyback D
Preprint: 2002;arXiv

Agent trade servers in financial exchange systems

Lyback D; Boman M
Conference publication: 2001;:150-159

PARRONDO STRATEGIES FOR ARTIFICIAL TRADERS

BOMAN M; JOHANSSON SJ; LYBÄCK D
Book chapter: LECTURE NOTES IN COMPUTER SCIENCE. 2001;p. 643-646

Team Sweden

Saffiotti A; Boman M; Buschka P; Davidsson P; Johansson S; Wasik Z
Published paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1856:784-787

Team Sweden

Boman M; LeBlanc K; Guttmann C; Saffiotti A
Published paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1882:166-177

Saving energy and providing value added services in intelligent buildings: A MAS approach

Davidsson P; Boman M
Published paper: LECTURE NOTES IN COMPUTER SCIENCE. 2000;1856:642-645

UBU team

Kummeneje J; Lybäck D; Younes H; Boman M
Conference publication: 2000;:377-378

A multi-agent system for controlling intelligent buildings

Davidsson P; Boman M
Conference publication: PROCEEDINGS - INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA. 2000;:565-569

Risk constraints in agent conflicts

Boman M; Ekenberg L
Published paper: LECTURE NOTES IN COMPUTER SCIENCE. 1999;1604:352-357

UBU:: Utility-based uncertainty handling in synthetic soccer

Boman M; Åberg H; Åhman Å; Andreasen J; Danielson M; Jansson CG; Kummeneje J; Verhagen H; Walter J
Published paper: LECTURE NOTES IN COMPUTER SCIENCE. 1999;1585:285-292

Modeling strategies as generous and greedy in prisoner's dilemma like games

Johansson S; Carlsson B; Boman M
Editorial comment: ROBOTICS AND AUTONOMOUS SYSTEMS. 1998;24(3-4):89-91

Towards artificial decision making

Boman M
Published paper: LECTURE NOTES IN COMPUTER SCIENCE. 1997;1237:36-44

Norms as constraints on real-time autonomous agent action

Boman M
Published paper: MULTI-AGENT RATIONALITY. 1997;1237:156-176

Making a case for multi-agent systems

Ygge F; Akkermans H
Book chapter: LECTURE NOTES IN COMPUTER SCIENCE. 1996;p. 54-62

A tool for handling uncertain information in multi-agent systems

Ekenberg L; Danielson M; Boman M
Book chapter: 1991;p. 255-270

Epistemic Logic as a Framework for Federated Information Systems

Boman M; Johannesson P
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Forskningsbidrag

Improving breast cancer histology image classification by incorporating Spatial Transcriptomics and clinical data into the model

Swedish Research Council

1 January 2024 - 31 December 2026
Facilitating Early Diagnosis of Lung Cancer: Transdisciplinary Efforts Combining Data from Patient-Reports, Biomarkers and Imaging

Swedish Research Council

1 January 2023 - 31 December 2025
Scalable Federated Learning

Swedish Research Council

1 January 2022 - 31 December 2025
AI in sustainable cities of the future

VINNOVA

1 April 2019 - 30 December 2019
Participation in Swedish-Indian AI Symposium

VINNOVA

14 March 2019 - 17 May 2019
PRiMED: Predicting Response to CBT in Mental Disorders using multimodal data and machine learning

Swedish Research Council

1 January 2019 - 31 December 2021
Predicting health outcomes and labor market marginalization after treatment in common mental disorders using Machine Learning

Swedish Research Council for Health Working Life and Welfare

1 January 2019 - 31 December 2021
Using Learning Machines to predict and enhance outcome in Internet-based Cognitive Behavioral Therapy

Swedish Research Council

1 January 2017 - 31 December 2019

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