A database for publications published by researchers and students at SimulaMet.
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- All (980)
- Journal articles (279)
- Books (9)
- Edited books (3)
- Proceedings, refereed (303) Remove Proceedings, refereed <span class="counter">(303)</span> filter
- Book chapters (13)
- Talks, keynote (21)
- PhD theses (6)
- Proceedings, non-refereed (21)
- Posters (15)
- Technical reports (14)
- Manuals (1)
- Talks, invited (182)
- Talks, contributed (30)
- Public outreach (62)
- Miscellaneous (21)
Proceedings, refereed
Multimedia datasets: challenges and future possibilities
In International conference on multimedia modeling, 2023.Status: Accepted
Multimedia datasets: challenges and future possibilities
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2023 |
| Conference Name | International conference on multimedia modeling |
Gender Equality in Information Technology Processes: A Systematic Mapping Study
In Future of Information and Communication Conference (FICC 2023), 2023.Status: Accepted
Gender Equality in Information Technology Processes: A Systematic Mapping Study
Information Technology (IT) plays a key role in the world we live in. As such, its relation to the 17 Sustainable Development Goals (SDGs) stated by the United Nations to improve lives and health of the people and the planet is inexorable. In particular, the SDG 5 aims to enforce gender equality and states 9 Targets that drive the actions to achieve such goal. The lack of women within IT has been a concern for several years. In this context, the objective of this study is to get an overview of the state of the art on gender equality in IT processes. To do so, we conducted a Systematic Mapping Study to investigate the addressed Targets, challenges, and potential best practices that have been put forward so far. The results we have obtained demonstrate the novelty of this field, as well as a set of opportunities and challenges that currently exist in this regard, such as the lack of best practices to address gender equality in IT processes and the need to develop proposals that solve this problem. All of this can be used as a starting point to identify open issues that help to promote research on this field and promote and enhance best practices towards a more socially sustainable basis for gender equality in and by IT.
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2023 |
| Conference Name | Future of Information and Communication Conference (FICC 2023) |
| Keywords | Gender Equality, information technology, Processes, sustainability, Systematic Mapping Study |
Proceedings, refereed
Multimedia streaming analytics: quo vadis?
In MHV '22: Mile-High Video Conference. Denver, Colorado, USA: ACM, 2022.Status: Published
Multimedia streaming analytics: quo vadis?
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | MHV '22: Mile-High Video Conference |
| Pagination | 62 - 69 |
| Publisher | ACM |
| Place Published | Denver, Colorado, USA |
| ISBN Number | 9781450392228 |
| URL | https://dl.acm.org/doi/10.1145/3510450.3517321 |
| DOI | 10.1145/3510450.3517321 |
Research Incentives in Academia Leading to Unethical Behavior
In Research Challenges in Information Science. Vol. 44624156469341838. Cham: Springer International Publishing, 2022.Status: Published
Research Incentives in Academia Leading to Unethical Behavior
A current practice in academia is to reward researchers for achieving outstanding performance. Although intended to boost productivity, such a practice also promotes competitiveness and could lead to unethical behavior. This position paper exposes common misconducts that arise when researchers try to game the system. It calls the research community to take preventive actions to reduce misconduct and treat such a pervasive environment with proper acknowledgment of researchers’ efforts and rewards on quality rather than quantity.
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | Research Challenges in Information Science |
| Volume | 44624156469341838 |
| Pagination | 744 - 751 |
| Date Published | 05/2022 |
| Publisher | Springer International Publishing |
| Place Published | Cham |
| ISBN Number | 978-3-031-05759-5 |
| ISSN Number | 1865-1348 |
| Keywords | Incentives, Misconduct, Research ethics, Research quality, Researcher performance |
| Notes | Part of the Lecture Notes in Business Information Processing book series (LNBIP,volume 446) |
| URL | https://link.springer.com/chapter/10.1007/978-3-031-05760-1_51 |
| DOI | 10.1007/978-3-031-05760-1_51 |
Detecting human embryo cleavage stages using YOLO v5 object detection algorithm
In NAIS. NAIS: NAIS, 2022.Status: Accepted
Detecting human embryo cleavage stages using YOLO v5 object detection algorithm
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | NAIS |
| Publisher | NAIS |
| Place Published | NAIS |
Phenotyping of cervical cancer risk groups via generalized low-rank models using medical questionnaires
In Norwegian AI Symposium. Springer, 2022.Status: Accepted
Phenotyping of cervical cancer risk groups via generalized low-rank models using medical questionnaires
| Afilliation | Machine Learning |
| Project(s) | DeCipher |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | Norwegian AI Symposium |
| Publisher | Springer |
ICDAR’22: Intelligent Cross-Data Analysis and Retrieval
In 2022 International Conference on Multimedia Retrieval. 2022, Newark, NJ, USA: ACM, 2022.Status: Published
ICDAR’22: Intelligent Cross-Data Analysis and Retrieval
We have witnessed the rise of cross-data against multimodal data
problems recently. The cross-modal retrieval system uses a textual
query to look for images; the air quality index can be predicted
using lifelogging images; the congestion can be predicted using
weather and tweets data; daily exercises and meals can help to
predict the sleeping quality are some examples of this research
direction. Although vast investigations focusing on multimodal data
analytics have been developed, few cross-data (e.g., cross-modal
data, cross-domain, cross-platform) research has been carried on.
In order to promote intelligent cross-data analytics and retrieval
research and to bring a smart, sustainable society to human beings,
the specific article collection on "Intelligent Cross-Data Analysis
and Retrieval" is introduced. This Research Topic welcomes those
who come from diverse research domains and disciplines such as
well-being, disaster prevention and mitigation, mobility, climate
change, tourism, healthcare, and food computing.
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | 2022 International Conference on Multimedia Retrieval |
| Date Published | 06/2022 |
| Publisher | ACM |
| Place Published | 2022, Newark, NJ, USA |
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: Published
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 | http://ceur-ws.org/Vol-3181/ |
A Live Demonstration of In-Band Telemetry in OSM-Orchestrated Core Networks
In Proceedings of the 47th IEEE Conference on Local Computer Networks (LCN). Edmonton, Alberta/Canada: IEEE, 2022.Status: Published
A Live Demonstration of In-Band Telemetry in OSM-Orchestrated Core Networks
Network Function Virtualization is a key enabler to building future mobile networks in a flexible and cost-efficient way. Such a network is expected to manage and maintain itself with least human intervention. With early deployments of the fifth generation of mobile technologies – 5G – around the world, setting up 4G/5G experimental infrastructures is necessary to optimally design Self-Organising Networks (SON). In this demo, we present a custom small-scale 4G/5G testbed. As a step towards self-healing, the testbed integrates four Programming Protocol-independent Packet Processors (P4) virtual switches, that are placed along interfaces between different components of transport and core network. This demo not only shows the administration and monitoring of the Evolved Packet Core (EPC) VNF components, using Open Source MANO, but also as a proof of concept for the potential of P4-based telemetry in detecting anomalous behaviour of the mobile network, such as a congestion in the transport part.
| Afilliation | Communication Systems |
| Project(s) | 5G-VINNI: 5G Verticals INNovation Infrastructure , NorNet, The Center for Resilient Networks and Applications, The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | Proceedings of the 47th IEEE Conference on Local Computer Networks (LCN) |
| Pagination | 245–247 |
| Date Published | 09/2022 |
| Publisher | IEEE |
| Place Published | Edmonton, Alberta/Canada |
| ISBN Number | 978-1-6654-8001-7 |
| Keywords | Anomaly detection, Network Function Virtualisation (NFV), Open Source MANO (OSM), P4, Telemetry |
Unequal covariance awareness for Linear Discriminant Analysis
In International Joint Conference on Neural Networks, 2022.Status: Accepted
Unequal covariance awareness for Linear Discriminant Analysis
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | International Joint Conference on Neural Networks |