A database for publications published by researchers and students at SimulaMet.
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Research area
Publication type
- All (1011)
- Journal articles (281)
- Books (9)
- Edited books (3)
- Proceedings, refereed (321)
- Book chapters (13)
- Talks, keynote (23)
- PhD theses (10)
- Proceedings, non-refereed (19)
- Posters (15) Remove Posters <span class="counter">(15)</span> filter
- Technical reports (14)
- Manuals (1)
- Talks, invited (186)
- Talks, contributed (31)
- Public outreach (62)
- Master's theses (1)
- Miscellaneous (22)
Posters
PARAFAC2-based coupled matrix and tensor factorizations with constraints
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023.Status: Published
PARAFAC2-based coupled matrix and tensor factorizations with constraints
| Afilliation | Machine Learning |
| Project(s) | Department of Data Science and Knowledge Discovery |
| Publication Type | Poster |
| Year of Publication | 2023 |
| Place Published | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE |
Posters
Predicting drug exposure in kidney transplanted patients using machine learning
NORA Annual Conference, Stavanger, Norway, 2022.Status: Published
Predicting drug exposure in kidney transplanted patients using machine learning
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Poster |
| Year of Publication | 2022 |
| Place Published | NORA Annual Conference, Stavanger, Norway |
| Type of Work | Poster presentation |
Revealing dynamic changes in metabolism through the analysis of postprandial metabolomics data: A simulation study
Metabolomics 2022, Valencia, Spain, 2022.Status: Published
Revealing dynamic changes in metabolism through the analysis of postprandial metabolomics data: A simulation study
| Afilliation | Machine Learning |
| Project(s) | TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion, Department of Data Science and Knowledge Discovery |
| Publication Type | Poster |
| Year of Publication | 2022 |
| Place Published | Metabolomics 2022, Valencia, Spain |
Characterizing postprandial metabolic response using multi-way data analysis
Norwegian Bioinformatics Days, 2022.Status: Published
Characterizing postprandial metabolic response using multi-way data analysis
Analysis of time-resolved postprandial metabolomics data can enhance our knowledge about the human metabolism by providing a better understanding of regulation of subgroups of metabolites (e.g., lipids) and variations in postprandial responses of subgroups of people, with the potential to ultimately advance precision medicine. However, characterizing postprandial metabolomics response and understanding group differences is a challenging task since it requires the analysis of large-scale metabolomics data from a large set of individuals containing measurements of a wide set of metabolites at multiple time points. Such data is in the form of a three-way array: subjects by metabolites by time points. The state-of-the-art analysis methods mainly focus on clustering temporal profiles relying on summaries of the data across subjects or univariate analysis techniques studying one metabolite at a time, and fail to associate subgroups of subjects and subsets of metabolites with the dynamic time profile simultaneously.
In this study, we use NMR (nuclear magnetic resonance) spectroscopy measurements of plasma samples (of over three hundred individuals from the COPSAC2000 cohort) collected at multiple time points during a challenge test. We use a multi-way analysis technique called the CANDECOMP/PARAFAC (CP) model to extract interpretable patterns from the time-resolved data. We compare the analysis of postprandial data, fasting state-corrected data and only fasting state data, and demonstrate the differences between different analysis approaches.
Our results show that the CP model reveals biologically meaningful patterns capturing how certain metabolite groups and their temporal profiles relate to various meta variables, in particular, BMI (body mass index), confirming already known biological knowledge as well as revealing new biological insights.
| Afilliation | Machine Learning |
| Project(s) | TrACEr: Time-Aware ConstrainEd Multimodal Data Fusion, Department of Data Science and Knowledge Discovery |
| Publication Type | Poster |
| Year of Publication | 2022 |
| Place Published | Norwegian Bioinformatics Days |
| Keywords | CANDECOMP/PARAFAC, Dynamic metabolomics data, large-scale dataset, Tensor factorization |
On Unifying Diverse DNS Data Sources
22nd ACM Internet Measurement Conference (IMC ’22),, 2022.Status: Published
On Unifying Diverse DNS Data Sources
The DNS maps human-readable identifiers to computer-friendly identifiers and relies on a reverse tree architecture to achieve this mapping. Backed by economic incentives, the DNS has become increasingly complex with data being shared among multiple au- tonomous stakeholders. The diversity of autonomous stakeholders limits data collection, access and sharing to researchers. For in- stance, each of stakeholder controls limited parts of the DNS space, thereby limiting analysis of real-world DNS behaviour. We aim to design and develop a software framework to unify diverse and large-scale public DNS data sources. The platform will facilitate the access to public DNS data by providing an efficient way of processing and analyzing large amounts of distributed data regard- less of the DNS data format. Thus, the framework will help enable reproducibility in DNS studies.
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Poster |
| Year of Publication | 2022 |
| Place Published | 22nd ACM Internet Measurement Conference (IMC ’22), |
| ISBN Number | 978-1-4503-9259-4/22/10 |
| DOI | 10.1145/3517745.3563022 |
Posters
An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization
2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2021.Status: Published
An Optimization Framework for Regularized Linearly Coupled Matrix-Tensor Factorization
| Afilliation | Machine Learning |
| Project(s) | Department of Data Science and Knowledge Discovery |
| Publication Type | Poster |
| Year of Publication | 2021 |
| Place Published | 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands |
Anomaly Detection in Optical Links Using State of Polarization Monitoring
2021 Joint European Conference on Networks and Communications & 6G Summit, Porto, Portugal, 2021.Status: Published
Anomaly Detection in Optical Links Using State of Polarization Monitoring
| Afilliation | Communication Systems |
| Project(s) | GAIA, The Center for Resilient Networks and Applications |
| Publication Type | Poster |
| Year of Publication | 2021 |
| Place Published | 2021 Joint European Conference on Networks and Communications & 6G Summit, Porto, Portugal |
| Keywords | Anomaly detection, Machine learning, Optical Fibre, State of Polarization |
| URL | https://www.eucnc.eu/poster-a/ |
A decade of evolution in telecommunications infrastructure
In Poster: A decade of evolution in telecommunications infrastructure. IMC 21: IMC , 2021.Status: Published
A decade of evolution in telecommunications infrastructure
Characterizing countries’ standing in terms of the maturity of their telecommunications infrastructure is paramount to inform policy and investments. Here, we use a broad set of features to group countries according to the state of their infrastructures and track how this has changed between 2010 and 2020. While a few nations continue to dominate, the membership of this club has changed with several European countries leaving
| Afilliation | Communication Systems |
| Project(s) | GAIA, The Center for Resilient Networks and Applications |
| Publication Type | Poster |
| Year of Publication | 2021 |
| Secondary Title | Poster: A decade of evolution in telecommunications infrastructure |
| Date Published | 10/2021 |
| Publisher | IMC |
| Place Published | IMC 21 |
| Type of Work | Internet measurements |
Understanding the Dynamics of Complex Systems through Time-Evolving Data Mining
SIAM International Conference on Data Mining, 2021.Status: Published
Understanding the Dynamics of Complex Systems through Time-Evolving Data Mining
| Afilliation | Machine Learning |
| Project(s) | Department of Data Science and Knowledge Discovery |
| Publication Type | Poster |
| Year of Publication | 2021 |
| Place Published | SIAM International Conference on Data Mining |
| Type of Work | Poster at SDM’21 Doctoral Forum |
Posters
A Framework for Interaction-based Propagation Analysis in Online Social Networks
Complex Networks, 2020.Status: Published
A Framework for Interaction-based Propagation Analysis in Online Social Networks
| Afilliation | Scientific Computing |
| Project(s) | Department of High Performance Computing , Department of Holistic Systems, UMOD: Understanding and Monitoring Digital Wildfires |
| Publication Type | Poster |
| Year of Publication | 2020 |
| Place Published | Complex Networks |