A database for publications published by researchers and students at SimulaMet.
Research area
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- All (990)
- Journal articles (282)
- Books (9)
- Edited books (3)
- Proceedings, refereed (309) Remove Proceedings, refereed <span class="counter">(309)</span> filter
- Book chapters (13)
- Talks, keynote (21)
- PhD theses (9)
- Proceedings, non-refereed (19)
- Posters (15)
- Technical reports (14)
- Manuals (1)
- Talks, invited (182)
- Talks, contributed (30)
- Public outreach (62)
- Miscellaneous (21)
Proceedings, refereed
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 |
Detecting human embryo cleavage stages using YOLO v5 object detection algorithm
In Nordic Artificial Intelligence Research and Development. Springer, 2023.Status: Published
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 | 2023 |
| Conference Name | Nordic Artificial Intelligence Research and Development |
| Pagination | 81-93 |
| Publisher | Springer |
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 |
PARAFAC2-based coupled Matrix and Tensor Factorizations
In ICASSP , 2023.Status: Accepted
PARAFAC2-based coupled Matrix and Tensor Factorizations
| Afilliation | Machine Learning |
| Project(s) | Department of Data Science and Knowledge Discovery , TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2023 |
| Conference Name | ICASSP |
Projects VS Continuous Product Development - Does it Affect Benefits Realization?
In The Ninth International Conference on Advances and Trends in Software Engineering (SOFTENG), 2023.Status: Accepted
Projects VS Continuous Product Development - Does it Affect Benefits Realization?
| Afilliation | Software Engineering |
| Project(s) | Department of IT Management, EDOS: Effective Digitalization of Public Sector |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2023 |
| Conference Name | The Ninth International Conference on Advances and Trends in Software Engineering (SOFTENG) |
On the realization of Cloud-RAN on Mobile Edge Computing
In International Conference on Advanced Information Networking and Applications (AINA-2023). 655th ed. Vol. 3. Lecture Notes in Networks and Systems: Springer, 2023.Status: Published
On the realization of Cloud-RAN on Mobile Edge Computing
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2023 |
| Conference Name | International Conference on Advanced Information Networking and Applications (AINA-2023) |
| Volume | 3 |
| Edition | 655 |
| Date Published | 03/2023 |
| Publisher | Springer |
| Place Published | Lecture Notes in Networks and Systems |
| ISBN Number | 978-3-031-28693-3 |
PRINCIPIA: Opportunistic CPU and CPU-shares Allocation for Containerized Virtualization in Mobile Edge Computing
In IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023.Status: Accepted
PRINCIPIA: Opportunistic CPU and CPU-shares Allocation for Containerized Virtualization in Mobile Edge Computing
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2023 |
| Conference Name | IEEE/IFIP Network Operations and Management Symposium |
| Publisher | IEEE |
Proceedings, refereed
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/ |
Find Out: How Do Your Data Packets Travel?
In Proceedings of the 18th IEEE International Conference on Network and Service Management (CNSM). Thessaloniki, Greece: IEEE, 2022.Status: Published
Find Out: How Do Your Data Packets Travel?
In today's communication-centric world, users generate and exchange a huge amount of data. The Internet helps user data to travel from one part of the world to another via a complex setting of network systems. These systems are intelligent, heterogeneous, and non-transparent to users. In this paper, we present an extensive trace-driven study of user data traffic covering five years of observations, six large ISPs, 21 different autonomous systems, and a total of 13 countries. The aim of this work is to make users aware about how their data travels in the Internet, as the data traffic path is majorly influenced by the interests of ISPs. We showed that shortest land distance between the two countries does not impact data path selection, while data traffic prefers to travel even though country do not share land borders.
| Afilliation | Communication Systems |
| Project(s) | NorNet, GAIA, 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 18th IEEE International Conference on Network and Service Management (CNSM) |
| Date Published | 11/2022 |
| Publisher | IEEE |
| Place Published | Thessaloniki, Greece |
| ISBN Number | 978-3-903176-51-5 |
| Keywords | connectivity, Data, Internet, Packets, Routing, Traffic Paths |
Towards a Blockchain and Fog-Based Proactive Data Distribution Framework for ICN
In Proceedings of the International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT). Sendai/Japan, 2022.Status: Published
Towards a Blockchain and Fog-Based Proactive Data Distribution Framework for ICN
Most of today's IP traffic is cloud traffic. Due to a vast, complex and non-transparent Internet infrastructure, securely accessing and delegating data is not a trivial task. Existing technologies of Information-Centric Networking (ICN) make content distribution and access easy while primarily relying on the existing cloud-based security features. The primary aim of ICN is to make data independent of its storage location and application. ICN builds upon traditional distributed computing, which means ICN platforms also can suffer from similar data security issues as distributed computing platforms. We present our ongoing work to develop a secure, proactive data distribution framework. The framework answers the research question, i.e., How to extend online data protection with a secure data distribution model for the ICN platform? Our framework adds a data protection layer over the content distribution network, using blockchain and relying on the fog to distribute the contents with low latency. Our framework is different from the existing works in multiple aspects, such as i) data are primarily distributed from the fog nodes, ii) blockchain is used to protect data and iii) blockchain allows statistical and other information sharing among stakeholders (such as content creators) following access rights. Sharing statistics about content distribution activity can bring transparency and trustworthiness among the stakeholders, including the subscribers, into the ICN platforms. We showed such a framework is possible by presenting initial performance results and our reflections while implementing it on a cloud/fog research testbed.
| Afilliation | Communication Systems |
| Project(s) | NorNet, The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, GAIA |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2022 |
| Conference Name | Proceedings of the International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) |
| Place Published | Sendai/Japan |
| Keywords | blockchain, Data, Distribution, Fog, ICN, Protection |