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M. Roald

MatCoupLy: Learning coupled matrix factorizations with Python

SoftwareX 21, no. 101294 (2023).
Journal Article
2023
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M. Roald and Y. M. Moe

TLViz: Visualising and analysing tensor decomposition models with Python

Journal of Open Source Software 7, no. 79 (2022): 4754.
Journal Article
2022
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M. Fida, M. Roald, E. A. Ataman and A. Elmokashfi

Modeling Variation in Mobile Download Speed in Presence of Missing Samples

IEEE Transactions on Mobile Computing (2022): 1-16.
Journal Article
2022
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E. A. Ataman, M. Roald, K. M. Hossain, V. D. Calhoun and T. Adali

Tracing Evolving Networks using Tensor Factorizations vs. ICA-based Approaches

Frontiers in Neuroscience 16 (2022).
Journal Article
2022
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2023

Journal articles

M. Roald

MatCoupLy: Learning coupled matrix factorizations with Python

SoftwareX 21, no. 101294 (2023).
Status: Published
2022

Journal articles

E. A. Ataman, M. Roald, K. M. Hossain, V. D. Calhoun and T. Adali

Tracing Evolving Networks using Tensor Factorizations vs. ICA-based Approaches

Frontiers in Neuroscience 16 (2022).
Status: Published
M. Fida, M. Roald, E. A. Ataman and A. Elmokashfi

Modeling Variation in Mobile Download Speed in Presence of Missing Samples

IEEE Transactions on Mobile Computing (2022): 1-16.
Status: Published
M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen and E. A. Ataman

An AO-ADMM approach to constraining PARAFAC2 on all modes

SIAM Journal on Mathematics of Data Science 4 (2022): 1191-1222.
Status: Published
M. Roald and Y. M. Moe

TLViz: Visualising and analysing tensor decomposition models with Python

Journal of Open Source Software 7, no. 79 (2022): 4754.
Status: Published

Talks, invited

C. Schenker, M. Roald, X. Wang, J. E. Cohen and E. A. Ataman

Constrained Multi-Modal Data Mining Using Coupled Matrix and Tensor Factorizations

In SIAM Conference on Mathematics of Data Science, 2022.
Status: Published

Talks, contributed

M. Roald, C. Schenker, V. D. Calhoun, T. Adali, R. Bro, J. E. Cohen and E. A. Ataman

An AO-ADMM approach to constrained PARAFAC2

In Nordic AI Meet, 2022.
Status: Published
M. Roald, C. Schenker, R. Bro, J. E. Cohen and E. A. Ataman

Fully Constrained PARAFAC2 with AO-ADMM

In SIAM Conference on Parallel Processing for Scientific Computing, 2022.
Status: Published

Public outreach

M. Roald

Hjerneforskningens matematiske verktøy

Realfagsdagene, 2022.
Status: Published
M. Roald

The mathematical tools of brain imaging analysis

Pint of Science , 2022.
Status: Published