activity
20182026
most citedHyperspectral Data Augmentation

4 citations · 12 across the 13 of their papers we have counts for

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Showing cs.LGShow all

5 papers · 1 filter

cs.LG2026

Trojan horse hunt in deep forecasting models: Insights from the European Space Agency competition

Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa +10

Forecasting plays a crucial role in modern safety-critical applications, such as space operations. However, the increasing use of deep forecasting models introduces a new security…

cs.LG2025

Fake or Real: The Impostor Hunt in Texts for Space Operations

Agata Kaczmarek, Dawid Płudowski, Piotr Wilczyński +6

The "Fake or Real" competition hosted on Kaggle (https://www.kaggle.com/competitions/fake-or-real-the-impostor-hunt ) is the second part of a series of follow-up competitions and h…

cs.LG2025

Trojan Horse Hunt in Time Series Forecasting for Space Operations

Krzysztof Kotowski, Ramez Shendy, Jakub Nalepa +6

This competition hosted on Kaggle (https://www.kaggle.com/competitions/trojan-horse-hunt-in-space) is the first part of a series of follow-up competitions and hackathons related to…

cs.LG20251 cited

On Revealing the Hidden Problem Structure in Real-World and Theoretical Problems Using Walsh Coefficient Influence

M. W. Przewozniczek, F. Chicano, R. Tinós +3

Gray-box optimization employs Walsh decomposition to obtain non-linear variable dependencies and utilize them to propose masks of variables that have a joint non-linear influence o…

cs.LG2024

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…