A database for publications published by researchers and students at SimulaMet.
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- All (917)
- Journal articles (257)
- Books (9)
- Edited books (2)
- Proceedings, refereed (294)
- Book chapters (13)
- Talks, keynote (18)
- PhD theses (6)
- Proceedings, non-refereed (21) Remove Proceedings, non-refereed <span class="counter">(21)</span> filter
- Posters (15)
- Technical reports (13)
- Manuals (1)
- Talks, invited (169)
- Talks, contributed (26)
- Public outreach (55)
- Miscellaneous (18)
Proceedings, non-refereed
Towards an AI-driven talking avatar in virtual reality for investigative interviews of children
In MMSys '22: 13th ACM Multimedia Systems ConferenceProceedings of the 2nd Workshop on Games Systems. Athlone IrelandNew York, NY, USA: ACM, 2022.Status: Published
Towards an AI-driven talking avatar in virtual reality for investigative interviews of children
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2022 |
| Conference Name | MMSys '22: 13th ACM Multimedia Systems ConferenceProceedings of the 2nd Workshop on Games Systems |
| Publisher | ACM |
| Place Published | Athlone IrelandNew York, NY, USA |
LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching
In IEEE WiMoB. Greece: IEEE, 2022.Status: Accepted
LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2022 |
| Conference Name | IEEE WiMoB |
| Date Published | 10/2022 |
| Publisher | IEEE |
| Place Published | Greece |
Proceedings, non-refereed
Improving generalizibilty in polyp segmentation using ensemble convolutional neural network
In 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV2021). Vol. 2886. CEUR Workshop Proceedings, 2021.Status: Published
Improving generalizibilty in polyp segmentation using ensemble convolutional neural network
Medical image segmentation is a crucial task in medical image analysis. Despite near expert-label performance with the application of the deep learning method in medical image segmentation, the generalization of such models in the clinical environment remains a significant challenge. Transfer learning from a large medical dataset from the same domain is a common technique to address generalizability. However, it is difficult to find a similar large medical dataset. To address generalizability in polyp segmentation, we have used an ensemble of four MultiResUNet architectures, each trained on the combination of the different centered datasets provided by the challenge organizers. Our method achieved a decent performance of 0.6172 ± 0.0778 for the multi-centered dataset. Our study shows that significant work needs to be done to develop a computer-aided diagnosis system to detect and localize polyp of the multi-center datasets, which is essential for improving the quality of the colonoscopy.
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2021 |
| Conference Name | 3rd International Workshop and Challenge on Computer Vision in Endoscopy (EndoCV2021) |
| Volume | 2886 |
| Publisher | CEUR Workshop Proceedings |
| Keywords | colonoscopy, Convolutional neural network, health informatics, Polyp segmentation |
Automated Polyp Segmentation in Colonoscopy using MSRFNet
In MediaEval medico . CEUR Workshop Proceedings, 2021.Status: Published
Automated Polyp Segmentation in Colonoscopy using MSRFNet
Colorectal cancer is one of the major cause of cancer-related death around the world. High-quality colonoscopy is considered mandatory for resecting and preventing colorectal cancers. In the recent past, various technological advances have been made towards improving the quality of colonoscopy. Despite the technical advancement, some polyps are frequently missed during colonoscopy examinations. Polyp detection ( for example, adenomas) rates are largely influenced by inter-endoscopist variability. Therefore, it is very challenging to standardize a high-quality colonoscopy. A computer-aided detection system could solve the problem with miss-detection. The ``MediaEval 2021'' challenge entails the chance to study and develop accurate automated polyp segmentation algorithms \cite{Hicks2021Medico}. In this paper, we propose our approach based on MSRFNet. Our experimental findings show that the model trained on the Kvasir-SEG dataset and evaluated on a competition test dataset obtains a dice coefficient of 0.7055, Jaccard of 0.6176, a recall of 0.7293, and a precision of 0.7769. In addition to the MediaEval 2021 challenge, we evaluated our approach on the Endotect Challenge Dataset and ``2020 Medico Automatic Polyp Segmentation Challenge Dataset". The results further demonstrate the efficiency of our approach.
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2021 |
| Conference Name | MediaEval medico |
| Publisher | CEUR Workshop Proceedings |
Proceedings, non-refereed
Deep Matrix Tri-Factorization:Mining Vertex-wise Interactions in Multi-Space Attributed Graphs
In SIAM International Conference on Data Mining, 2020.Status: Published
Deep Matrix Tri-Factorization:Mining Vertex-wise Interactions in Multi-Space Attributed Graphs
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2020 |
| Conference Name | SIAM International Conference on Data Mining |
Proceedings, non-refereed
Predicting software development skill from effort predictions (Un)skilled and unware of it?
In International symposium on forecasting (ISF), 2019.Status: Published
Predicting software development skill from effort predictions (Un)skilled and unware of it?
If software developers’ estimates of how much effort they would need to complete tasks were strongly correlated with their actual use of efforts, we could safely select among the developers with the lowest effort estimates and predict that they will be among the most skilled ones. Unfortunately, this is not necessarily the case. As documented in studies in many domains, those with lower skill tend to know less about how little they know and, for this reason, give over-optimistic estimates of their own performance.
This effect is termed the Dunning-Kruger effect. Does this mean that effort estimates are useless as predictors of software development skill?
To find out more on this we requested 104 software developers to estimate four larger and five smaller software development tasks and measured their programming skills. We assessed the connection between lower estimates and higher skill through rank correlations and hit rates, where the hit rate measures the frequency of selecting the most skilled out of two developers when selecting the one with the lower effort estimate on the same task.
The results were as predicted by the Dunning-Kruger effect for the larger tasks. The developers in the lowest skill quartile had on average lower estimates than those in the highest skill quartile. To predict relative programming skill based on these estimates would be very inaccurate. The correlations between task estimates and skill were between -0.15 and 0.01 and the hit rates between 44% and 50%.
The developers’ effort estimates on the smaller tasks were, however, much better connected with their measured programming skills. The rank correlations were between 0.29 and 0.50 and the hit rates between 62% and 68%. Clustering the estimates of all the smaller tasks into the same factor gave a rank correlation of 0.45 between this factor and the measured skill and a hit rate of 70%. While not very strong, we show that the estimates on these tasks is better connected with measured skill than those in use in software development contexts, i.e., company-assesses skill category, length of experience, self-assessed skill and confidence in knowing how to solve the tasks. These indicators had rank correlations between 0.14 and 0.29, and hit rates between 57% and 65%.
A possible explanation of why lower skill was connected with higher effort estimates for the smaller, but not for the larger tasks, is that lower skill in solving a task can both lead to lower skill in identifying the complexity and the simplicity of a task. In the situation with the simpler tasks, we propose, those with better skill were also better in identifying how easily the tasks could be solved at the time of estimation. This explanation suggests that we may be able to design estimation tasks even better at separating those with high and low task completion skill than in our study, when focusing on hidden simplicity, i.e., simplicity that the more skilled are more likely to identify than the less skilled ones.
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2019 |
| Conference Name | International symposium on forecasting (ISF) |
Proceedings, non-refereed
NorNet – The Internet Testbed for Multi-Homed Systems
In Proceedings of the Multi-Service Networks Conference (MSN, Coseners). Abingdon, Oxfordshire/United Kingdom, 2016.Status: Published
NorNet – The Internet Testbed for Multi-Homed Systems
Multi-homing denotes the simultaneous connection of endpoints (e.g. cloud servers, smartphones, etc.) to multiple Internet Service Providers (ISP). That is, the endpoints remain reachable even when some of the ISPs have problems (e.g. malfunction of hardware or break of cables). Besides the redundancy aspect, multi-homing can also make load sharing by multi-path transport possible, i.e. increasing the application throughput by utilising multiple paths simultaneously. Multi-path transport can e.g. be realised by Concurrent Multi-Path Transfer for SCTP (CMT-SCTP) and Multi-Path TCP (MPTCP), two protocols that are currently under standardisation in the IETF. The growing need for and deployment of multi-homed applications makes large-scale testing and evaluation in realistic Internet setups necessary. For instance, different paths can have very different characteristics with regard to bandwidth, packet loss rate, congestion, delay and jitter. Therefore, the NorNet project of the Simula Research Laboratory is building up an open platform for such experiments: the NorNet testbed. It provides programmable nodes with multiple ISP connections -- wired as well as wireless -- that are distributed all over Norway as well as some international locations. This talk will give an overview over NorNet.
| Afilliation | , Communication Systems, Communication Systems |
| Project(s) | NorNet, The Center for Resilient Networks and Applications |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2016 |
| Conference Name | Proceedings of the Multi-Service Networks Conference (MSN, Coseners) |
| Date Published | 07/2016 |
| Place Published | Abingdon, Oxfordshire/United Kingdom |
| Keywords | Introduction, Multi-Homing, NorNet, NorNet Core, NorNet Edge, Overview, Testbed |
Proceedings, non-refereed
Reducing Transport Latency using Multi-path Protocols
In European Conference on Networks and Communications (EuCNC), 2015.Status: Published
Reducing Transport Latency using Multi-path Protocols
| Afilliation | , Communication Systems, Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2015 |
| Conference Name | European Conference on Networks and Communications (EuCNC) |
NorNet Edge Platform to Measure Mobile Broadband
In Proceedings of the 3rd International NorNet Users Workshop (NNUW-3). Fornebu, Akershus/Norway: Simula Research Laboratory, 2015.Status: Published
NorNet Edge Platform to Measure Mobile Broadband
This talk provides an introduction to the NorNet Edge testbed as well as a status overview on the development and deployment in August 2015.
| Afilliation | Communication Systems, , Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2015 |
| Conference Name | Proceedings of the 3rd International NorNet Users Workshop (NNUW-3) |
| Date Published | 08/2015 |
| Publisher | Simula Research Laboratory |
| Place Published | Fornebu, Akershus/Norway |
| Keywords | Introduction, Multi-Homing, Multi-Path Transport, NorNet, NorNet Edge, Testbed |
The NorNet Core Testbed: A Status Update for the NNUW-3
In Proceedings of the 3rd International NorNet Users Workshop (NNUW-3). Fornebu, Akershus/Norway: Simula Research Laboratory, 2015.Status: Published
The NorNet Core Testbed: A Status Update for the NNUW-3
This talk provides an update on the NorNet Core testbed development and research for the 3rd NorNet Users Workshop (NNUW-3) in August 2015.
| Afilliation | Communication Systems, , Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Proceedings, non-refereed |
| Year of Publication | 2015 |
| Conference Name | Proceedings of the 3rd International NorNet Users Workshop (NNUW-3) |
| Date Published | 08/2015 |
| Publisher | Simula Research Laboratory |
| Place Published | Fornebu, Akershus/Norway |
| Keywords | Multi-Homing, Multi-Path Transport, NorNet, NorNet Core, Status, Testbed |