Uncertainty-weighted spectral similarity for hyperspectral imaging spectroscopy
K Jabłońska, MP Jakubowicz, D Tanajewski
IEEE 2026
Doktorant
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.
inżynier informatyki, Wydział Podstawowych Problemów Techniki
Politechnika Wrocławska
magister informatyki, specjalność Data Science, Wydział Informatyki i Zarządzania
Politechnika Wrocławska
K Jabłońska, MP Jakubowicz, D Tanajewski
IEEE 2026
DA Kopeć, K Jabłońska, WM Kozłowski, MM Zięba
ICCS 2026 504–518
K Jabłońska, MM Zięba
ICCS 2026 19–32
K Jabłońska, MM Zięba, D Tanajewski
Expert Systems with Applications 304, 1–13 · Cytowane przez 2
K Jabłońska, MM Zięba, MP Jakubowicz
ACIIDS 2025 98–112
K Jabłońska, MM Zięba
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 7-12 July, 2024 Athens, Greece 9320–9323
K Jabłońska, W Kaczan, MM Zięba, M Maksymowicz, D Tanajewski, M Wilgucki
Remote Sensing 16(6), 1–23 · Cytowane przez 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
Materiały konferencyjne · Cytowane przez 13