A database for publications published by researchers and students at SimulaMet.
Research area
Publication type
- All (804)
- Journal articles (228)
- Books (8)
- Edited books (2)
- Proceedings, refereed (251)
- Book chapters (9) Remove Book chapters <span class="counter">(9)</span> filter
- Talks, keynote (17)
- PhD theses (4)
- Proceedings, non-refereed (19)
- Posters (11)
- Technical reports (11)
- Manuals (1)
- Talks, invited (161)
- Talks, contributed (18)
- Public outreach (49)
- Miscellaneous (15)
Book chapters
5G-sikkerhet: Norge mellom stormaktene
In Digitalisering og internasjonal politikk. Universitetsforlaget, 2022.Status: Published
5G-sikkerhet: Norge mellom stormaktene
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Book Chapter |
Year of Publication | 2022 |
Book Title | Digitalisering og internasjonal politikk |
Chapter | 7 |
Date Published | 01/2022 |
Publisher | Universitetsforlaget |
ISBN Number | 9788215052557 |
Stakeholder Perceptions on Requirements for Accessible Technical Condition Information in Residential Real Estate Transactions
In Lecture Notes in Computer Science. 16th International Conference on Universal Access in Human-Computer Interaction (UAHCI) ed. Vol. 7. Springer International Publishing, 2022.Status: Accepted
Stakeholder Perceptions on Requirements for Accessible Technical Condition Information in Residential Real Estate Transactions
Buyers of residential real estate frequently experience dissatisfaction with the property they have purchased. Recent findings suggest that insufficient knowledge about the property is a key trigger to ensuing disappointment and claims for compensation. Further, a good technical condition report reduces the probability of dissatisfaction and insurance claims. For the purpose of designing services for improving technical condition information and its flow, we elicited stakeholder perceptions on the suitability of residential real estate technical condition reports. Specifically, we conducted multiple surveys which we content analyzed and used as the basis for a conceptual model of information products and dependencies needed to deliver better information to stakeholders in a real estate transaction process. The conceptual model, in turn, forms the basis for specific service design in future work.
Afilliation | Software Engineering |
Project(s) | EDOS: Effective Digitalization of Public Sector |
Publication Type | Book Chapter |
Year of Publication | 2022 |
Book Title | Lecture Notes in Computer Science |
Volume | 7 |
Edition | 16th International Conference on Universal Access in Human-Computer Interaction (UAHCI) |
Chapter | 16 |
Series Volume | 13308 |
Publisher | Springer International Publishing |
ISBN Number | 978-3-031-05027-5 |
Keywords | Conflict Reduction, Information Services, Residential Real Estate Transactions, Technical Condition Information |
Scenario Design for Healthcare Collaboration Training under Suboptimal Conditions
In Lecture Notes in Computer Science. 13th International Conference on Digital Human Modeling & Applications in Health, Safety, Ergonomics & Risk Management (DHM) ed. Vol. 19. Springer International Publishing, 2022.Status: Accepted
Scenario Design for Healthcare Collaboration Training under Suboptimal Conditions
Health care today
usually consists of various services covering various parts of the
total health care of a region or country. These services are
required to coordinate and collaborate, often using procedures and IT collaboration
tools that may not be designed for interoperating across the
evolving wider landscape of health care services. We posit that it
is necessary to train personnel in collaboration skills using
whatever infrastructure is in place. To this end, we present design
principles for simulation-based collaboration training scenarios that emphasizes the inclusion of suboptimal infrastructure elements. We
applied the principles in a co-creational workshop with healthcare stakeholders
from a hospital and surrounding municipalities in Norway where we
discussed cases where collaboration training is perceived as
critical. We elicited five training vignettes concerning the general case of
detecting, and following up on, clinical deterioration in a patient at home or in a nursing home. We found that the design principles spurred highly relevant discussions among participants and that novel ideas for collaboration training were brought forth on the basis of these principles. We conclude
that there is a potential in using these principles for eliciting training vignettes that address the actual situation more accurately.
Afilliation | Software Engineering |
Project(s) | EDOS: Effective Digitalization of Public Sector |
Publication Type | Book Chapter |
Year of Publication | 2022 |
Book Title | Lecture Notes in Computer Science |
Volume | 19 |
Edition | 13th International Conference on Digital Human Modeling & Applications in Health, Safety, Ergonomics & Risk Management (DHM) |
Series Volume | 13320 |
Publisher | Springer International Publishing |
Keywords | Healthcare Collaboration, IT Services, Procedures, Scenario Design, Simulation-based training, Stakeholder Journey Analysis |
Book chapters
Artificial Intelligence in Gastroenterology
In Artificial Intelligence in Medicine, 1-20. Cham: Springer International Publishing, 2021.Status: Published
Artificial Intelligence in Gastroenterology
The holy grail in endoscopy examinations has for a long time been assisted diagnosis using Artificial Intelligence (AI). Recent developments in computer hardware are now enabling technology to equip clinicians with promising tools for computer-assisted diagnosis (CAD) systems. However, creating viable models or architectures, training them, and assessing their ability to diagnose at a human level, are complicated tasks. This is currently an active area of research, and many promising methods have been proposed. In this chapter, we give an overview of the topic. This includes a description of current medical challenges followed by a description of the most commonly used methods in the field. We also present example results from research targeting some of these challenges, and a discussion on open issues and ongoing work is provided. Hopefully, this will inspire and enable readers to future develop CAD systems for gastroenterology.
Afilliation | Communication Systems, Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Book Chapter |
Year of Publication | 2021 |
Book Title | Artificial Intelligence in Medicine |
Pagination | 1 - 20 |
Date Published | 09/2021 |
Publisher | Springer International Publishing |
Place Published | Cham |
ISBN Number | 978-3-030-58080-3 |
Keywords | Anomaly detection, artificial intelligence, Gastrointestinal endoscopy, Hand-crafted features, Neural Networks, Performance, Semantic segmentation |
URL | https://link.springer.com/referenceworkentry/10.1007%2F978-3-030-58080-3... |
DOI | 10.1007/978-3-030-58080-3_163-2 |
Toward AI-Based Scenario Management for Cyber Range Training
In Lecture Notes in Computer Science, 423-436. HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence ed. Cham: Springer International Publishing, 2021.Status: Published
Toward AI-Based Scenario Management for Cyber Range Training
There is an immediate need for a greater number of highly skilled cybersecurity personnel to meet intensified cyber attacks. We propose a cyber range exercise management architecture that employs machine reasoning to structure the design, execution and analysis of cyber range training scenarios. The scenarios are then used in simulation-based training in an emulated IT infrastructure environment. The machine reasoning is obtained by combining four AI methods: attack-defence trees, formal argumentation theory, answer set programming and multiagent systems. We argue that this type of advanced functionality that supports exercise managers in their design and analysis of scenarios is strictly necessary to improve current exercise management systems and build the required cybersecurity expertise.
Afilliation | Software Engineering |
Project(s) | EDOS: Effective Digitalization of Public Sector |
Publication Type | Book Chapter |
Year of Publication | 2021 |
Book Title | Lecture Notes in Computer Science |
Edition | HCI International 2021 - Late Breaking Papers: Multimodality, eXtended Reality, and Artificial Intelligence |
Series Volume | 13095 |
Pagination | 423–436 |
Date Published | 11/2021 |
Publisher | Springer International Publishing |
Place Published | Cham |
ISBN Number | 978-3-030-90963-5 |
Book chapters
Multilinear Models, Iterative Methods
In Comprehensive Chemometrics (Second Edition), 267-304. Chemical and Biochemical Data Analysis. Elsevier, 2020.Status: Published
Multilinear Models, Iterative Methods
In this section, multilinear models for multi-way arrays requiring iterative fitting algorithms are outlined. Among them: the PARAFAC (PARAllel FACtor analysis) model and one of its variants (the PARAFAC2 model); Tucker models in which one or more modes are reduced (viz., the N-way Tucker-N and Tucker-m models); hybrid models having intermediate properties between PARAFAC and Tucker ones; and coupled matrix and tensor decompositions (CMTF) which simultaneously decomposes multiple tensors. Five examples are included as to illustrate some practical aspects concerning the use of these models on analytical data.
Afilliation | Machine Learning |
Project(s) | Department of Data Science and Knowledge Discovery |
Publication Type | Book Chapter |
Year of Publication | 2020 |
Book Title | Comprehensive Chemometrics (Second Edition) |
Secondary Title | Chemical and Biochemical Data Analysis |
Pagination | 267-304 |
Publisher | Elsevier |
ISBN Number | 978-0-12-409547-2 |
Keywords | -way Tucker models, CANDECOMP, Curve resolution, Exploratory analysis, Least squares, Linked mode PARAFAC, Multi-way analysis, Multi-way array, Multilinear model, PARAFAC, PARAFAC2, PARALIND, Restricted Tucker models, Tensor decomposition, Tensor-matrix factorization |
URL | http://www.sciencedirect.com/science/article/pii/B9780124095472146098 |
DOI | 10.1016/B978-0-12-409547-2.14609-8 |
Book chapters
Image Retrieval Evaluation in Specific Domains
In Information Retrieval Evaluation in a Changing World - Lessons Learned from 20 Years of CLEF, 275-305. Vol. INRE, volume 41. Springer, 2019.Status: Published
Image Retrieval Evaluation in Specific Domains
Image retrieval was, and still is, a hot topic in research. It comes with many challenges that changed over the years with the emergence of more advanced methods for analysis and enormous growth of images created, shared and consumed. This chapter gives an overview of domain-specific image retrieval evaluation approaches, which were part of the ImageCLEF evaluation campaign . Specifically, the robot vision, photo retrieval, scalable image annotation and lifelogging tasks are presented. The ImageCLEF medical activity is described in a separate chapter in this volume. Some of the presented tasks have been available for several years, whereas others are quite new (like lifelogging). This mix of new and old topics has been chosen to give the reader an idea about the development and trends within image retrieval. For each of the tasks, the datasets, participants, techniques used and lessons learned are presented and discussed leading to a comprehensive summary.
Afilliation | Machine Learning |
Project(s) | Simula Metropolitan Center for Digital Engineering, Department of Holistic Systems |
Publication Type | Book Chapter |
Year of Publication | 2019 |
Book Title | Information Retrieval Evaluation in a Changing World - Lessons Learned from 20 Years of CLEF |
Volume | INRE, volume 41 |
Pagination | 275-305 |
Publisher | Springer |
DOI | 10.1007/978-3-030-22948-1_12 |
Challenges for Multimedia Research in E-Sports Using Counter-Strike Global Offensive as an Example
In Savegame, 197-206. Vol. 4. Wiesbaden: Springer Fachmedien Wiesbaden, 2019.Status: Published
Challenges for Multimedia Research in E-Sports Using Counter-Strike Global Offensive as an Example
That video and computer games have reached the masses is a well-known fact. However, game streaming and, therefore, watching other people play videogames has also outgrown its humble beginnings by far. Game streams, be it live or recorded, are viewed by millions. Many of the streams are broadcasting competitive multiplayer games. This is called e-sports and it is very similar to sports broadcasting. E-sports is organized in leagues and tournaments in which players can compete in controlled environments and viewers can experience the matches, discuss and criticize just like in physical sports. In this paper, we look into the challenges for computer science in general and multimedia research in particular. The multimedia research community has done a lot of work on video streaming, broadcasting and analyzing the audience, but has missed the opportunity to investigate e-sports in detail. We focus on one particular game we deem representative for e-sports, Counter-Strike: Global Offensive, and investigate how the audience consumes game streams from competitive tournaments.
Afilliation | Communication Systems, Machine Learning |
Project(s) | Department of Holistic Systems |
Publication Type | Book Chapter |
Year of Publication | 2019 |
Book Title | Savegame |
Volume | 4 |
Pagination | 197 - 206 |
Publisher | Springer Fachmedien Wiesbaden |
Place Published | Wiesbaden |
ISBN Number | 978-3-658-27394-1 |
ISBN | 2524-3241 |
URL | http://link.springer.com/10.1007/978-3-658-27395-8_13 |
DOI | 10.1007/978-3-658-27395-8_13 |
Book chapters
Camera Synchronization for Panoramic Videos
In MediaSync, 565-592. Springer, 2018.Status: Published
Camera Synchronization for Panoramic Videos
Afilliation | Communication Systems |
Project(s) | Efficient EONS: Execution of Large Workloads on Elastic Heterogeneous Resources, Department of Holistic Systems |
Publication Type | Book Chapter |
Year of Publication | 2018 |
Book Title | MediaSync |
Pagination | 565-592 |
Date Published | 03/2018 |
Publisher | Springer |
URL | https://doi.org/10.1007/978-3-319-65840-7_20 |
DOI | 10.1007/978-3-319-65840-7_20 |