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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Published in ICASSP'20, 2020
This conference paper demonstrates that PARAFAC2 can successfully trace network evolution from fMRI images.
Roald M, Bhinge S, Jia C, Calhoun V, Adalı T, Acar E. Tracing network evolution using the parafac2 model. ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020 May 4 (pp. 1100-1104). IEEE. https://arxiv.org/abs/1911.02926
Published in EUSIPCO'21, 2021
Initial publication of the AO-ADMM algorithm for fitting regularized PARAFAC2 models.
Roald M, Schenker C, Cohen JE, Acar E. PARAFAC2 AO-ADMM: constraints in all modes. 2021 29th European Signal Processing Conference (EUSIPCO) 2021 Aug 23 (pp. 1040-1044). EURASIP. https://arxiv.org/abs/2102.02087
Published in Frontiers in neuroscience, 2022
In this paper, we compare the PARAFAC2 method and joint ICA and IVA for tracing evolving networks from fMRI data. It is a continuation of the work published at ICASSP'20
Acar E, Roald M, Hossain KM, Calhoun VD, Adali T. Tracing Evolving Networks Using Tensor Factorizations vs. ICA-Based Approaches. Frontiers in neuroscience. 2022;16. https://www.frontiersin.org/articles/10.3389/fnins.2022.861402/full
Published in SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Journal paper of the AO-ADMM algorithm for fitting regularized PARAFAC2 models. Also includes some general theory on the PARAFAC2 constraints.
Roald M, Schenker C, Calhoun VD, Adali T, Bro R, Cohen JE, Acar E. An AO-ADMM approach to constraining PARAFAC2 on all modes. SIAM Journal on Mathematics of Data Science. 2022;4(3):1191-222. https://arxiv.org/abs/2110.01278
Published in Journal of Open Source Software (JOSS), 2022
Software paper for TensorLy-Viz – a Python package for analysing and visualising tensor decomposition models.
Roald M, Moe YM. TLViz: Visualising and analysing tensor decomposition models with Python. Journal of Open Source Software. 2022;7(79):4754. https://joss.theoj.org/papers/10.21105/joss.04754
Published in IEEE Transactions on Mobile Computing, 2022
Paper using the CANDECOMP/PARAFAC model to analyse variation in mobile network speed in real data with missing values.
Fida MR, Roald M, Acar E, Elmokashfi A. Modeling Variation in Mobile Download Speed in Presence of Missing Samples. IEEE Transactions on Mobile Computing. 2022. https://ieeexplore.ieee.org/document/9999262
Published in SoftwareX, 2023
Software paper for MatCoupLy – a Python package for fitting constrained coupled matrix factorisations and PARAFAC2 models.
Roald M, MatCoupLy: Learning coupled matrix factorizations with Python. SoftwareX. 2023;21:101292. https://www.sciencedirect.com/science/article/pii/S2352711022002102
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Video of talk: https://vimeo.com/565882924
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Download slides here
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Award: SDM’21 Doctoral Forum Best Poster Award
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Download slides here
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Download slides here
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Video of talk: https://www.youtube.com/watch?v=Zca6iKS5ZnY&t=5530s
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Video of talk: https://www.youtube.com/watch?v=OcuhrDIrblo (the sound quality can be weird on some devices)
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Video of talk: https://www.youtube.com/watch?v=_QymVpgpOk4
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Lecture materials: https://github.com/MarieRoald/phd-defence-trial-lecture
Two-day course, Inspiria Science Center/Simula Learning,
Two-day crash course in Python for employees at Inspiria Science Center. Read more
6-hour course, Tekna Realfagslærerne/Simula Learning,
Two-day intermediate course in Python for high school science teachers with a focus on solving scientific problems with Python. Read more
6-hour course, Tekna Agder/Simula Learning,
Two-day crash course in Python for Tekna members. Read more
6-hour course, Tekna Realfagslærerne/Simula Learning,
Two-day introductory course in Python for high school science teachers. Read more
Three-day course, Folkeuniversitetet/Simula Learning,
Three-day introductory course in Python with extra example sessions. Read more
Five-day intensive course, Simula Learning/Akershus Fylkeskommune/Viken Fylkeskommune,
Five-day intensive course teaching Python and how to use it in science education at the high school level. Read more
Five-day intensive course, Simula Learning/Bærum kommune/Asker kommune,
Five-day intensive course teaching Python and how to use it in science education at the primary school level (grade 5-10). Read more
5 ECTS course, Simula Research Laboratories,
Intensive course in communicating scientific research. Read more