Associate professor Kristoffer Wickstrøm
Image:
Petter Bjørklund/SFI Visual Intelligence

Associate professor Kristoffer Wickstrøm

Best Paper Award to associate professor Kristoffer Wickstrøm

Congratulations to Kristoffer Wickstrøm for receiving the Best Paper Award 2024 from the journal Pattern Recognition Letters!

Best Paper Award 2024 to associate professor Kristoffer Wickstrøm

Congratulations to Kristoffer Wickstrøm for receiving the Best Paper Award 2024 from the journal Pattern Recognition Letters!

By Petter Bjørklund, Communication Advisor at SFI Visual Intelligence

- Such a recognition is very exciting and a clear sign that the work we do is of high quality, says Wickstrøm.

He is an associate professor at SFI Visual Intelligence and UiT Machine Learning Group. He published a research article in 2022 in the academic journal Pattern Recognition Letters.

Since then, it has been cited more than a hundred times. This milestone has earned him a prestigious award for best research paper of 2024.

Pattern Recognition Letters is a renowned academic journal within AI and image analysis. The journal is reputed for its high quality publications.

- The fact that this article is now in this excellent company is fantastic, especially considering the tough competition from so many other strong contributions, says Wickstrøm.

Makes it easier to "train" AI

The data used to train AI often contain labels which describe the data's contents. Wickstrøm's research involved training AI to analyze so-called "time series" without using labeled data.

A time series is a form of data which describes how something develops over time. How many steps you walk each day, how many times your heart beats each minute, and how long you sleep each night are examples of such data.

Such data contain a lot of valuable information. For instance, analyzing number of heartbeats per minute can reveal potential symptoms of heart diseases.

But there are a lot different forms of time series. These variations make it challenging to develop AI systems that perform well on different time series.

- This means that the program has to be tailored to a particular type of time series. This makes developing more general AI systems difficult and time-consuming, Wickstrøm explains.

In the article, Wickstrøm developed a software that performs well, regardless of which time series it is analyzing.

- We tested this technology on 100 different time series, with excellent results. Our method has the potential to considerably improve analysis of such data, says Wickstrøm.

The researchers also conducted an experiment on time series data within health and medicine, such as patients' heart rhythm and blood values. The results show that the method can make analyzing such data much simpler.

- The experiment showed that our method can reduce the amount of training data needed to learn AI how to analyze health-related data, such as patients' heart rhythm, says Wickstrøm

Wickstrøm's award and research was mentioned in the newspaper Khrono.

Reference:

Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen: Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognition Letters, Volume 155, 2022.

Latest news

Visual Intelligence evaluated by international experts: "The centre operates at an excellent level"

April 29, 2025

After four years of operation, an international AI expert panel was appointed to assess Visual Intelligence's progress and results. The evaluation was characterized by its excellent remarks on the centre's scientific quality and innovation output.

Visual Intelligence at Norsk Radiografforbund's mammography symposium

April 24, 2025

Senior Researcher Fredrik Dahl recently gave a talk about Norsk Regnesentral's work on developing AI algorithms for automatic analysis of image quality and cancer detection at Norsk Radiografforbund's mammography symposium in Oslo.

Michael Kampffmeyer receives UiT's Young Researcher Award

April 4, 2025

Michael Kampffmeyer is one of UiT's youngest professors and has already distinguished himself through his contributions to AI research. He has now won UiT's award for young researchers at the university's annual celebration.

Visual Intelligence Annual Report 2024

April 2, 2025

The fifth Visual Intelligence annual report, showcasing the centre's activities, results, staff, funding and publications for 2024, is now available on our web pages.

uit.no: UiT er vertskap for landsdekkende KI-konferanse

April 1, 2025

I juni møtes det norske KI-miljøet i Tromsø for å presentere ny forskning og diskutere nye retninger innen feltet. KI-forskere inviteres til å delta og vise fram forskningen sin under konferansen.

Successful Industry Pitch Day at UiT

March 20, 2025

Visual Intelligence and the Digital Innovation Lab invited industry professionals to present ideas for master's projects to computer science and machine learning students at UiT The Arctic University of Norway.

Dagens Næringsliv: Norges eldste fagmiljø innen KI

March 18, 2025

Kunstig intelligens (KI) endrer måten vi løser komplekse problemer på. Ved UiT Norges arktiske universitet leder professor Robert Jenssen Visual Intelligence, et senter for forskningsdrevet innovasjon som utvikler neste generasjons KI-metoder.

Visual Intelligence at the UiT Open Day in Tromsø

March 13, 2025

Visual Intelligence researchers had the great pleasure of talking to high school students about the AI study programme at UiT The Arctic University of Norway during the UiT Open Day‍‍.

Visual Intelligence represented at CuttingEdgeAI seminar

March 11, 2025

Director Robert Jenssen represented Visual Intelligence at the CuttingEdgeAI seminar "KI anno 2023: I offentlighetens interesse?" at the University of Bergen on March 7th.

forskning.no: Derfor fungerer KI dårligere på kvinner

March 8, 2025

Det hender at kunstig intelligens behandler menn og kvinner ulikt. Hvordan skjer dette? KI-forsker Elisabeth Wetzer forklarer hva som ligger bak skjevhetene i teknologien (Popular science story in forskning.no and sciencenorway.no)

Visual Intelligence at TEKdagen 2025

February 11, 2025

We had the pleasure of talking to students about the exciting career opportunities at Visual Intelligence and UiT The Arctic University of Norway during TEKdagen 2025

School visit from Breivang upper secondary school

February 5, 2025

Last week, we welcomed students from Breivang upper secondary school to a full-day practical session on AI and programming at UiT The Arctic University of Norway