A database for publications published by researchers and students at SimulaMet.
Status
Research area
Journal articles
Complexity and Variability Analyses of Motor Activity Distinguish Mood States in Bipolar Disorder
PLOS ONE (2022).Status: Accepted
Complexity and Variability Analyses of Motor Activity Distinguish Mood States in Bipolar Disorder
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Journal Article |
| Year of Publication | 2022 |
| Journal | PLOS ONE |
| Publisher | PLOS ONE |
Proceedings, refereed
Measurement of software development effort estimation bias: Avoiding biased measures of estimation bias
In 11th International Conference on Software Engineering and Applications (SEA 2022), 2022.Status: Accepted
Measurement of software development effort estimation bias: Avoiding biased measures of estimation bias
In this paper, we propose improvements in how estimation bias, e.g., the tendency towards under-estimating the effort, is measured. The proposed approach emphasizes the need to know what the estimates are meant to represent, i.e., the type of estimate we evaluate and the need for a match between the type of estimate given and the bias measure used. We show that even perfect estimates of the mean effort will not lead to an expectation of zero estimation bias when applying the frequently used bias measure: (actual effort – estimated effort)/actual effort. This measure will instead reward under-estimates of the mean effort. We also provide examples of bias measures that match estimates of the mean and the median effort, and argue that there are, in general, no practical bias measures for estimates of the most likely effort. The paper concludes with implications for the evaluation of bias of software development effort estimates.
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | 11th International Conference on Software Engineering and Applications (SEA 2022) |
Investigative Interviews using a Multimodal Virtual Avatar
In American Psychology-Law Society Conference 2022. Denver USA,: American Psychology-Law Society, 2022.Status: Accepted
Investigative Interviews using a Multimodal Virtual Avatar
To meet best-practice standards, we are developing an interactive virtual avatar aiming as a training tool to raise interviewing skills of child-welfare and law-enforcement professionals. Therefore, we present the “Ilma” avatar that recognizes interviewers’ behavior during open-ended, closed and leading questions, and which can automatically respond to the conversation. We conducted a user study in which master students (N=3) and child protective workers (N=8) interviewed “Ilma” and rated their perception of the interaction. The results show that the participants valued the interaction and found the avatar useful. Thus, it has great potential to be an effective training tool.
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | American Psychology-Law Society Conference 2022 |
| Publisher | American Psychology-Law Society |
| Place Published | Denver USA, |
Multimedia Streaming Analytics: Quo Vadis?
In ACM Mile High Video. ACM, 2022.Status: Accepted
Multimedia Streaming Analytics: Quo Vadis?
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | ACM Mile High Video |
| Publisher | ACM |
Unsupervised Image Segmentation via Self-Supervised Learning Image Classification
In MediaEval 2021. Working Notes Proceedings of the MediaEval 2021 Workshop ed. CEUR Workshop Proceedings, 2022.Status: Accepted
Unsupervised Image Segmentation via Self-Supervised Learning Image Classification
This paper presents the submission of team Medical-XAI for the Medico: Transparency in Medical Image Segmentation task held at MediaEval 2021. We propose an unsupervised method that utilizes tools from the field of explainable artificial intelligence to create segmentation masks. We extract heat maps, which are useful in order to explain how the `black box' model predicts the category of a certain image, and the segmentation masks are directly derived from the heat maps. Our results show that the created masks can capture the relevant findings to a certain extent using only a small amount of image-level labeled data for the classification model and no segmentation masks at all for the training. This is promising for addressing different challenges within the intersection of artificial intelligence for medicine such as availability of data, cost of labeling and interpretable and explainable results.
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | MediaEval 2021 |
| Edition | Working Notes Proceedings of the MediaEval 2021 Workshop |
| Publisher | CEUR Workshop Proceedings |
| Keywords | clustering, Explainable artificial intelligence, Global Features, Grad-CAM, Image segmentation, Medical imaging, Polyp Detection, Self-supervised learning |
| URL | https://2021.multimediaeval.com/paper12.pdf |
Journal articles
Measuring Roaming in Europe: Infrastructure and Implications on Users’ QoE
IEEE Transactions on Mobile Computing (2021).Status: Accepted
Measuring Roaming in Europe: Infrastructure and Implications on Users’ QoE
| Afilliation | Communication Systems |
| Project(s) | Department of Mobile Systems and Analytics |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Journal | IEEE Transactions on Mobile Computing |
| Publisher | IEEE |
IoT Traffic Offloading with MultiPath TCP
IEEE Communications Magazine, Special Issue on Transport Layer Innovations for Future Networks (2021).Status: Accepted
IoT Traffic Offloading with MultiPath TCP
| Afilliation | Communication Systems |
| Project(s) | Department of Mobile Systems and Analytics |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Journal | IEEE Communications Magazine, Special Issue on Transport Layer Innovations for Future Networks |
| Publisher | IEEE |
Multipath Scheduling for 5G Networks: Evaluation and Outlook
IEEE Communications Magazine, Special Issue on Transport Layer Innovations for Future Networks (2021).Status: Accepted
Multipath Scheduling for 5G Networks: Evaluation and Outlook
| Afilliation | Communication Systems |
| Project(s) | Department of Mobile Systems and Analytics |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Journal | IEEE Communications Magazine, Special Issue on Transport Layer Innovations for Future Networks |
| Publisher | IEEE |
Nationwide rollout reveals efficacy of epidemic control through digital contact tracing
Nature Communications (2021).Status: Accepted
Nationwide rollout reveals efficacy of epidemic control through digital contact tracing
| Afilliation | Communication Systems, Scientific Computing, Machine Learning |
| Project(s) | The Center for Resilient Networks and Applications, Department of Machine Intelligence, Department of Computational Physiology |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Journal | Nature Communications |
| Publisher | Springer Nature |
Optimal Energy Trading with Demand Responses in Cloud Computing Enabled Virtual Power Plant in Smart Grids
IEEE Transactions on Cloud Computing (2021).Status: Accepted
Optimal Energy Trading with Demand Responses in Cloud Computing Enabled Virtual Power Plant in Smart Grids
The increasing penetration of renewable energy sources and electric vehicles (EVs) poses a significant challenge for the power grid operator in terms of increasing peak load and power quality reduction. Moreover, there is a growing demand for fast charging services in smart grids. Addressing the growing demand from fast charging services is challenging. To overcome this challenge, in this paper, we propose a new computational architecture combining energy trading and demand responses based on cloud computing for managing virtual power plants (VPPs) in smart grids. In the proposed system, EVs can be charged at high charging rates without affecting the operation of the power grid by purchasing energy through the energy trading platform in the cloud. In addition, users with storage devices can sell energy surplus to the market. On the one hand, the energy trading platform can be regarded as an internal market of the VPP that aims to maximize its revenue. The interest of the EV owners, on the other hand, is to minimize the cost for charging. Therefore, we model the interactions between the EV owners and the VPP as a non-cooperative game.
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering |
| Publication Type | Journal Article |
| Year of Publication | 2021 |
| Journal | IEEE Transactions on Cloud Computing |
| Date Published | 10/2021 |
| Publisher | IEEE |
| DOI | 10.1109/TCC.2021.3118563 |