A database for publications published by researchers and students at SimulaMet.
Research area
Publication type
- All (390)
- Journal articles (142)
- Books (2)
- Edited books (1)
- Proceedings, refereed (175)
- Book chapters (6) Remove Book chapters <span class="counter">(6)</span> filter
- Talks, keynote (1)
- PhD theses (5)
- Proceedings, non-refereed (2)
- Posters (9)
- Talks, invited (20)
- Talks, contributed (15)
- Public outreach (3)
- Master's theses (1)
- Miscellaneous (8)
Book chapters
Smittestopp Backend
In Smittestopp − A Case Study on Digital Contact Tracing, 29-62. Vol. 11. Cham: Springer International Publishing, 2022.Status: Published
Smittestopp Backend
An efficient backend solution is of great importance for any large-scale system, and Smittestopp is no exception. The Smittestopp backend comprises various components for user and device registration, mobile app data ingestion, database and cloud operations, and web interface support. This chapter describes our journey from a vague idea to a deployed system. We provide an overview of the system internals and design iterations and discuss the challenges that we faced during the development process, along with the lessons learned. The Smittestopp backend handled around 1.5 million registered devices and provided various insights and analyses before being discontinued a few months after its launch.
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Book Chapter |
| Year of Publication | 2022 |
| Book Title | Smittestopp − A Case Study on Digital Contact Tracing |
| Volume | 11 |
| Pagination | 29 - 62 |
| Date Published | 06/2022 |
| Publisher | Springer International Publishing |
| Place Published | Cham |
| ISBN Number | 978-3-031-05465-5 |
| ISBN | 2512-1677 |
| URL | https://link.springer.com/content/pdf/10.1007/978-3-031-05466-2.pdf |
| DOI | 10.1007/978-3-031-05466-2_3 |
Smittestopp analytics: Analysis of position data
In Smittestopp − A Case Study on Digital Contact Tracing, 63-79. Vol. 11. Cham: Springer International Publishing, 2022.Status: Published
Smittestopp analytics: Analysis of position data
Contact tracing applications generally rely on Bluetooth data. This type of data works well to determine whether a contact occurred (smartphones were close to each other) but cannot offer the contextual information GPS data can offer. Did the contact happen on a bus? In a building? And of which type? Are some places recurrent contact locations? By answering such questions, GPS data can help develop more accurate and better-informed contact tracing applications. This chapter describes the ideas and approaches implemented for GPS data within the Smittestopp contact tracing application.We will present the pipeline used and the contribution of GPS data for contextual information, using inferred transport modes and surrounding POIs, showcasing the opportunities in the use of GPS information. Finally,we discuss ethical and privacy considerations, as well as some lessons learned.
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Book Chapter |
| Year of Publication | 2022 |
| Book Title | Smittestopp − A Case Study on Digital Contact Tracing |
| Volume | 11 |
| Pagination | 63 - 79 |
| Date Published | 06/2022 |
| Publisher | Springer International Publishing |
| Place Published | Cham |
| ISBN Number | 978-3-031-05465-5 |
| ISBN | 2512-1677 |
| URL | https://link.springer.com/content/pdf/10.1007/978-3-031-05466-2_4 |
| DOI | 10.1007/978-3-031-05466-2_4 |
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 |
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 |