Uncertainty-weighted spectral similarity for hyperspectral imaging spectroscopy
K Jabłońska, MP Jakubowicz, D Tanajewski
IEEE 2026
PhD Student
Katarzyna Jabłońska is doing an implementation Ph.D. at Wrocław University of Science and Technology (WUST). She is also working as a Machine Learning Engineer in Remote Sensing Business Solutions, where she uses spectral data and Artificial Intelligence to reduce the impact of opencast mines. She holds a master’s degree in Data Science from the Department of Computer Science and Management at WUST. She has been working at project Emognition, where she has analyzed psychological signals to detect emotions. Her recent interests revolved around detecting critical minerals using hyperspectral data and machine learning methods.
Eng. in Computer Science, Faculty of Fundamental Problems of Technology
Wrocław University of Science and Technology
M.Sc in Computer Science, specialization Data Science, Faculty of Computer Science and Management
Wrocław University of Science and Technology
K Jabłońska, MP Jakubowicz, D Tanajewski
IEEE 2026
DA Kopeć, K Jabłońska, WM Kozłowski, MM Zięba
Conference paper
K Jabłońska, MM Zięba
Conference paper
K Jabłońska, MM Zięba, D Tanajewski
Expert Systems with Applications · Cited by 2
K Jabłońska, MM Zięba, MP Jakubowicz
Conference paper
K Jabłońska, W Kaczan, MM Zięba, M Maksymowicz, D Tanajewski, M Wilgucki
Remote Sensing 16(6), 1–23 · Cited by 12
AM Buczyńska, W Kaczan, K Jabłońska, M Maksymowicz
Interdisciplinary topics in mining, geology and geomatics 10–11
M Dzieżyc, J Komoszyńska, S Saganowski, M Boruch, J Dziwiński, K Jabłońska, D Kunc, P Kazienko
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events · Cited by 13