About
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.
Research Interests
Education
M.Sc in Computer Science, specialization Data Science, Faculty of Computer Science and Management
Wrocław University of Science and Technology · 2021
Eng. in Computer Science, Faculty of Fundamental Problems of Technology
Wrocław University of Science and Technology · 2020
Publications
Metric learning networks for accurate mineral detection with different augmentation techniques
2026 · Expert Systems with Applications 304
A Comparative Analysis of Siamese Networks and SAM for Mineral Detection
2024 · IGARSS 2024
MineCam: Application of Combined Remote Sensing and ML for Mining Areas
2024 · Remote Sensing 16(6)
How to catch them all? Enhanced data collection for emotion recognition in the field
2021 · *2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) : 22-26 March 2021, Kassel, Germany.*
