• Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing 

      Uteng, Stig; Quevedo, Eduardo; Callico, Gustavo M.; Castaño, Irene; Carretero, Gregorio; Almeida, Pablo; Garcia, Aday; Hernandez, Javier A.; Godtliebsen, Fred (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-01-20)
      This paper shows new contributions in the detection of skin cancer, where we present the use of a customized hyperspectral system that captures images in the spectral range from 450 to 950 nm. By choosing a 7 × 7 sub-image of each channel in the hyperspectral image (HSI) and then taking the mean and standard deviation of these sub-images, we were able to make fits of the resulting curves. These ...
    • Early Detection of Change by Applying Scale-Space Methodology to Hyperspectral Images 

      Uteng, Stig; Johansen, Thomas Haugland; Zaballos, Jose Ignacio; Ortega, Samuel; Holmström, Lasse; Callico, Gustavo M.; Fabelo, Himar; Godtliebsen, Fred (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-27)
      Given an object of interest that evolves in time, one often wants to detect possible changes in its properties. The first changes may be small and occur in different scales and it may be crucial to detect them as early as possible. Examples include identification of potentially malignant changes in skin moles or the gradual onset of food quality deterioration. Statistical scale-space methodologies ...
    • Investigation of STEM Subject and Career Aspirations of Lower Secondary School Students in the North Calotte Region of Finland, Norway, and Russia 

      Tomperi, Päivi; Kvivesen, Mona; Manshadi, Saeed Dehghan; Uteng, Stig; Shestova, Yulia; Lyash, Oleg; Lazareva, Irina; Lyash, Asya (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-09)
      This study investigates the suitability of the STEM Career Interest Survey (STEM-CIS) to measure secondary school students’ aspirations towards STEM subjects and careers. A confirmatory factor analysis (CFA) was conducted to assess the initial structural validity of the adapted STEM-CIS survey, where the science subscale was extended to four science disciplines, to align with the way science is ...
    • The three-factor model: A study of common features in students' attitudes towards studying and learning science and mathematics in the three countries of the North Calotte region 

      Tomperi, Päivi; Kvivesen, Mona; Manshadi, Saeed; Uteng, Stig; Ryzhkova, Inna; Shestova, Yulia; Lyash, Oleg; Lazareva, Irina; Lyash, Asya (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-01)
      This study investigated common features of students' attitudes towards studying science and mathematics in comprehensive and secondary schools in three countries. Data were obtained by conducting a survey (N = 581) in Norway, Finland and Russia. A Confirmatory factor analysis (CFA) provided a model with a three-factor solution consisting of factors: the perception of the teacher, anxiety towards ...