126 citations · 552 across the 35 of their papers we have counts for
5 papers · 1 filter
In Search of Quantum Advantage: Estimating the Number of Shots in Quantum Kernel Methods
Artur Miroszewski, Marco Fellous Asiani, Jakub Mielczarek +2
Quantum Machine Learning (QML) has gathered significant attention through approaches like Quantum Kernel Machines. While these methods hold considerable promise, their quantum natu…
The OPS-SAT benchmark for detecting anomalies in satellite telemetry
Bogdan Ruszczak, Krzysztof Kotowski, David Evans +1
Detecting anomalous events in satellite telemetry is a critical task in space operations. This task, however, is extremely time-consuming, error-prone and human dependent, thus aut…
European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry
Krzysztof Kotowski, Christoph Haskamp, Jacek Andrzejewski +8
Machine learning has vast potential to improve anomaly detection in satellite telemetry which is a crucial task for spacecraft operations. This potential is currently hampered by a…
Red Teaming Models for Hyperspectral Image Analysis Using Explainable AI
Vladimir Zaigrajew, Hubert Baniecki, Lukasz Tulczyjew +4
Remote sensing (RS) applications in the space domain demand machine learning (ML) models that are reliable, robust, and quality-assured, making red teaming a vital approach for ide…
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning
Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa +4
Precise localization of coronary arteries in Computed Tomography (CT) scans is critical from the perspective of medical assessment of coronary artery disease. Although various meth…