Age Smilde
Adjunct Chief Research Scientist
- Department
- Data Science and Knowledge Discovery
- Organisation
- Simula Metropolitan
- age@simula.no
Publications
2024
Journal Articles
S. Yan, L. Li, D. Horner, P. Ebrahimi, B. Chawes, L. O. Dragsted, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Characterizing human postprandial metabolic response using multiway data analysis
Metabolomics
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, D. Horner, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Analyzing postprandial metabolomics data using multiway models: A simulation study
BMC Bioinformatics
2023
Journal Articles
L. Li, S. Yan, D. Horner, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations
ResearchSquare
F. Becker, A. K. Smilde and E. A. Ataman
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions
WIREs Data Mining and Knowledge Discovery
Posters
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. Acar
Fusion of static and dynamic metabolomics challenge test data: Capturing metabolic differences between fasting and postprandial states
NuGOweek 2023
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Fusion of static and dynamic metabolomics challenge test data: Capturing metabolic differences between fasting and postprandial states
Nordic AI meet 2023
Talks, contributed
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
From static to dynamic - how to analyze postprandial metabolomics data?
Nordic Metabolomics Conference
2022
Journal Articles
L. Li, H. Hoefsloot, A. A. de Graaf, E. A. Ataman and A. K. Smilde
Exploring Dynamic Metabolomics Data With Multiway Data Analysis: a Simulation Study
BMC Bioinformatics
Books
A. K. Smilde, T. Naes and K. H. Liland
Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences
Proceedings, refereed
F. Becker, M. Nygård, J. Nygård, A. K. Smilde and E. A. Ataman
Phenotyping of cervical cancer risk groups via generalized low-rank models using medical questionnaires
Norwegian AI Symposium: Nordic Artificial Intelligence Research and Development
Posters
S. Yan, L. Li, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Characterizing postprandial metabolic response using multi-way data analysis
Norwegian Bioinformatics Days 2022
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Revealing dynamic changes in metabolism through the analysis of postprandial metabolomics data: A simulation study
Metabolomics 2022
Talks, contributed
S. Yan, L. Li, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Characterizing postprandial metabolomics response using multi-way data analysis
Annual NORBIS Conference
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Analyzing postprandial metabolomics data using multiway models: A simulation study
Nordic Metabolomics 2022, Copenhagen, Denmark
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, D. Horner, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Analyzing postprandial metabolomics data using multiway models: A simulation study
Norwegian Bioinformatics Days, Sundvolden, Norway
L. Li, S. Yan, B. M. Bakker, H. Hoefsloot, B. Chawes, M. A. Rasmussen, A. K. Smilde and E. A. Ataman
Analyzing postprandial metabolomics data using multiway models: A simulation study
NuGOweek 2022 in Spain
2021
Talks, contributed
L. Li, H. Hoefsloot, A. A. de Graaf, E. A. Ataman and A. K. Smilde
Exploring dynamic metabolomics data with multiway data analysis: A simulation study
SIAM Conference on Applications of Dynamical Systems
F. Becker
Generalized Low-Rank Models for Phenotyping Cervical Cancer Risk Groups using Medical Questionnaires
Stavanger, Norway
2017
Journal Articles
A. K. Smilde, I. Måge, T. Naes, T. Hankemeier, M. A. Lips, H. A. L. Kiers, E. A. Ataman and R. Bro
Common and distinct components in data fusion
Journal of Chemometrics