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

IEEE access, 2020, Vol.8, p.120388-120416

2020

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Toward Learning Machines at a Mother and Baby Unit

Frontiers in psychology, 2020-11, Vol.11, p.567310-567310

2020

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Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT

Internet interventions : the application of information technology in mental and behavioural health, 2024-12, Vol.38, p.100773, Article 100773

2024

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

BMC medicine, 2021-04, Vol.19 (1), p.99-16, Article 99

2021

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Supporting global health goals with information and communications technology

Global health action, 2017-01, Vol.10 (sup3), p.1321904-13

2017

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

Frontiers in oncology, 2022-11, Vol.12, p.984021

2022

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Comparing supervised and unsupervised approaches to multimodal emotion recognition

PeerJ. Computer science, 2021-12, Vol.7, p.e804-e804, Article e804

2021

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

Translational psychiatry, 2022-09, Vol.12 (1), p.357-357, Article 357

2022

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Multi-Agent System Engineering: 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'99 Valencia, Spain, June 30 - July 2, 1999 Proceedings

1, 1999

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

Translational psychiatry, 2022-11, Vol.12 (1), p.488-9, Article 488

2022

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Human-Curated Validation of Machine Learning Algorithms for Health Data

Digital society : ethics, socio-legal and governance of digital technology, 2023-12, Vol.2 (3), Article 46

Boman, Magnus

2023

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Multi-Agent Rationality: 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'97 Ronneby, Sweden, May 13–16, 1997 Proceedings

1997

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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, 2022-09, Vol.12 (9), p.e060679-e060679

2022

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Networked foresight—The case of EIT ICT Labs

Technological forecasting & social change, 2015-12, Vol.101, p.147-164

2015

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

Brain & spine, 2023, Vol.3, p.101963, Article 101963

2023

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

BMJ open, 2023, Vol.13 (10), p.e069427-e069427

2023

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

Journal of internal medicine, 2022-08, Vol.292 (2), p.278-295

2022

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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, 2020-04, Vol.88 (4), p.311-321

2020

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Commentary: the joy of mesh

BMJ. British medical journal (International ed.), 2009-01, Vol.338 (7685), p.22

Boman, Magnus

International edition, 2009

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Modeling reservoir computing with the discrete nonlinear Schrödinger equation

Physical review. E, 2018-11, Vol.98 (5), Article 052101

2018

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Density-matrix renormalization group for a gapless system of free fermions

Physical review. B, Condensed matter, 1999-04, Vol.59 (16), p.10493-10503

1999

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The Scalability of Trustless Trust

22nd International Conference on Financial Cryptography and Data Security, FC 2018, 2019, p.279-293

2019

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Distributed monitoring and control of office buildings by embedded agents

Information sciences, 2005, Vol.171 (4), p.293-307

2005

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AI-driven adaptive treatment strategies in internet-delivered CBT

EUROPEAN PSYCHIATRY, 2021-04, Vol.64 (S1), p.S20-S20

2021

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

IEEE eTransactions on network and service management, 2022-12, Vol.19 (4), p.4779-4793

2022

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

Toward Learning Machines at a Mother and Baby Unit

Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT

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

Supporting global health goals with information and communications technology

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

Comparing supervised and unsupervised approaches to multimodal emotion recognition

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

Multi-Agent System Engineering: 9th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'99 Valencia, Spain, June 30 - July 2, 1999 Proceedings

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

Human-Curated Validation of Machine Learning Algorithms for Health Data

Multi-Agent Rationality: 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'97 Ronneby, Sweden, May 13–16, 1997 Proceedings

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

Networked foresight—The case of EIT ICT Labs

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

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

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

Predicting Treatment Failure in Regular Care Internet-Delivered Cognitive Behavior Therapy for Depression and Anxiety Using Only Weekly Symptom Measures

Commentary: the joy of mesh

Modeling reservoir computing with the discrete nonlinear Schrödinger equation

Density-matrix renormalization group for a gapless system of free fermions

The Scalability of Trustless Trust

Distributed monitoring and control of office buildings by embedded agents

AI-driven adaptive treatment strategies in internet-delivered CBT

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

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