Posts by Collection

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Tracing network evolution using the PARAFAC2 model

Published in ICASSP'20, 2020

This conference paper demonstrates that PARAFAC2 can successfully trace network evolution from fMRI images.

PARAFAC2 AO-ADMM: constraints in all modes

Published in EUSIPCO'21, 2021

Initial publication of the AO-ADMM algorithm for fitting regularized PARAFAC2 models.

Tracing Evolving Networks Using Tensor Factorizations vs. ICA-Based Approaches

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

An AO-ADMM approach to constraining PARAFAC2 on all modes

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.

TLViz: Visualising and analysing tensor decomposition models with Python

Published in Journal of Open Source Software (JOSS), 2022

Software paper for TensorLy-Viz – a Python package for analysing and visualising tensor decomposition models.

Modeling Variation in Mobile Download Speed in Presence of Missing Samples

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.

MatCoupLy: Learning coupled matrix factorizations with Python

Published in SoftwareX, 2023

Software paper for MatCoupLy – a Python package for fitting constrained coupled matrix factorisations and PARAFAC2 models.

Face detection in Snapchat

Published: December 03, 2018

Tracing network evolution using the PARAFAC2 model

Published: May 04, 2020

Video of talk: https://vimeo.com/565882924

Teaching programming (Norwegian)

Published: April 20, 2021

Download slides here

Understanding the Dynamics of Complex Systems through Time-Evolving Data Mining

Published: May 01, 2021

Award: SDM’21 Doctoral Forum Best Poster Award

Tracing Dynamic Networks through Constrained Parafac2 Decomposition

Published: May 20, 2021

PARAFAC2 AO-ADMM: constraints in all modes

Published: August 23, 2021

Tensor decomposition for multiway data mining

Published: October 20, 2021

Download slides here

Fully Constrained PARAFAC2 with AO-ADMM

Published: February 25, 2022

Download slides here

The mathematical tools of brain imaging analysis (Norwegian)

Published: March 09, 2022

The mathematical tools of brain imaging analysis

Published: March 28, 2022

Video of talk: https://www.youtube.com/watch?v=Zca6iKS5ZnY&t=5530s

Unsupervised spectral unmixing of hyperspectral videos with the PARAFAC2 model

Published: May 04, 2022

An AO-ADMM approach to constrained PARAFAC2

Published: November 14, 2022

The creative art of algorithmic embroidery

Published: April 22, 2023

Video of talk: https://www.youtube.com/watch?v=OcuhrDIrblo (the sound quality can be weird on some devices)

Teaching teachers to teach Python: what have I learned

Published: May 26, 2023

Video of talk: https://www.youtube.com/watch?v=_QymVpgpOk4

Understanding the Dynamics of Complex Systems Through Time-Evolving Data Mining

Published: September 04, 2023

Recommendation Systems - An Overview

Published: September 04, 2023

Lecture materials: https://github.com/MarieRoald/phd-defence-trial-lecture

Introduction to creative coding with Python

Two-day course, Inspiria Science Center/Simula Learning,

Two-day crash course in Python for employees at Inspiria Science Center. Read more

Python for science education: intermediate

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

Python Crash Course

6-hour course, Tekna Agder/Simula Learning,

Two-day crash course in Python for Tekna members. Read more

Python for science education: introduction

6-hour course, Tekna Realfagslærerne/Simula Learning,

Two-day introductory course in Python for high school science teachers. Read more

Introduction to Python

Three-day course, Folkeuniversitetet/Simula Learning,

Three-day introductory course in Python with extra example sessions. Read more

Python for high school teachers

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

Python for primary school teachers

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

Communicating scientific research

5 ECTS course, Simula Research Laboratories,

Intensive course in communicating scientific research. Read more