A database for publications published by researchers and students at SimulaMet.
Status
Research area
Publication type
- All (510) Remove All <span class="counter">(510)</span> filter
- Journal articles (93)
- Books (5)
- Proceedings, refereed (168)
- Book chapters (4)
- Talks, keynote (14)
- PhD theses (2)
- Proceedings, non-refereed (16)
- Posters (6)
- Technical reports (11)
- Talks, invited (133)
- Talks, contributed (9)
- Public outreach (42)
- Miscellaneous (7)
Journal articles
An empirically evaluated checklist for surveys in software engineering
Information and Software Technology 119 (2020): 106240.Status: Published
An empirically evaluated checklist for surveys in software engineering
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Journal | Information and Software Technology |
| Volume | 119 |
| Pagination | 106240 |
| Date Published | Jan-03-2020 |
| Publisher | Elsevier |
| ISSN | 09505849 |
| URL | https://doi.org/10.1016/j.infsof.2019.106240 |
| DOI | 10.1016/j.infsof.2019.106240 |
Proceedings, refereed
Kvasir-SEG: A Segmented Polyp Dataset
In MMM2020. Daejeon, Korea: MMM 2020 26TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING, 2020.Status: Published
Kvasir-SEG: A Segmented Polyp Dataset
Pixel-wise image segmentation is a highly demanding task in medical image analysis. In practice, it is difficult to find annotated medical images with corresponding segmentation masks. In this paper, we present Kvasir-SEG: an open-access dataset of gastrointestinal polyp images and corresponding segmentation masks, manually annotated and verified by an experienced gastroenterologist. We demonstrate the use of our dataset with a traditional segmentation approach and a modern deep learning based CNN approach. This work will be valuable for researchers to reproduce results and compare their methods in the future. By adding segmentation masks to the Kvasir dataset, which until today only consisted of framewise annotations, we enable multimedia and computer vision researchers to contribute in the field of polyp segmentation and automatic analysis of colonoscopy videos.
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2020 |
| Conference Name | MMM2020 |
| Publisher | MMM 2020 26TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING |
| Place Published | Daejeon, Korea |
| Keywords | Kvasir-SEG dataset, Medical images, Polyp segmentation, ResUNet Fuzzy c-mean clustering, Semantic segmentation |
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
In Savegame, 197-206. Springer VS, Wiesbaden, 2019.Status: Published
Challenges for Multimedia Research in E-Sports Using Counter-Strike
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Book Chapter |
| Year of Publication | 2019 |
| Book Title | Savegame |
| Pagination | 197–206 |
| Publisher | Springer VS, Wiesbaden |
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 |
Journal articles
Agile Uncertainty Assessment for Benefit Points and Story Points
IEEE Software 36, no. 4 (2019): 50-62.Status: Published
Agile Uncertainty Assessment for Benefit Points and Story Points
Estimates are inherently uncertain, and it’s fair to expect that business value estimates are even more so. By making this uncertainty explicit, you can manage and monitor your agile project according to upper and lower margins of uncertainty. The trick is to instantiate benefit points and story points with values reflecting various scenarios.
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Journal | IEEE Software |
| Volume | 36 |
| Issue | 4 |
| Pagination | 50--62 |
| Date Published | 10/2018 |
| Publisher | IEEE Computer Society |
Results from Running an Experiment as a Service Platform for Mobile Broadband Networks in Europe
Elsevier Computer Communications 133 (2019).Status: Published
Results from Running an Experiment as a Service Platform for Mobile Broadband Networks in Europe
| Afilliation | Communication Systems |
| Project(s) | MONROE: Measuring Mobile Broadband Networks in Europe , Department of Mobile Systems and Analytics |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Journal | Elsevier Computer Communications |
| Volume | 133 |
| Date Published | 01/2019 |
| Publisher | Elsevier |
Biomarkers of individual foods, and separation of diets using untargeted LC-MS based plasma metabolomics in a randomized controlled trial
Molecular Nutrition & Food Research 63 (2019): 1-10.Status: Published
Biomarkers of individual foods, and separation of diets using untargeted LC-MS based plasma metabolomics in a randomized controlled trial
| Afilliation | Machine Learning |
| Project(s) | Department of Machine Intelligence |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Journal | Molecular Nutrition & Food Research |
| Volume | 63 |
| Number | 1800215 |
| Pagination | 1-10 |
| Publisher | Wiley |
| DOI | 10.1002/mnfr.201800215 |
Relations between Project Size, Agile Practices and Successful Software Development
IEEE Software 36, no. 2 (2019): 39-43.Status: Published
Relations between Project Size, Agile Practices and Successful Software Development
The use of agile methods in the execution of large-scale software development is increasing. To find out more about the effect of this on project performance, information was collected about 196 Norwegian IT-projects. Increased project size was associated with decreased project performance for both agile and non-agile projects, but the projects using agile methods had better performance than the non-agile projects for all examined project size categories. Flexible scope, frequent deliveries to production, a high degree of requirement changes and more competent providers are candidates to explain the better performance of agile projects.
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Journal | IEEE Software |
| Volume | 36 |
| Issue | 2 |
| Pagination | 39-43 |
| Publisher | IEEE |
Low-Latency Scheduling in MPTCP
IEEE Transactions on Networking 27, no. 1 (2019).Status: Published
Low-Latency Scheduling in MPTCP
| Afilliation | Communication Systems |
| Project(s) | MONROE: Measuring Mobile Broadband Networks in Europe , Department of Mobile Systems and Analytics |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Journal | IEEE Transactions on Networking |
| Volume | 27 |
| Issue | 1 |
| Date Published | 02/2019 |
| Publisher | ACM IEEE |