activity
20142026
most citedDeep Learning for Multiple-Image Super-Resolution

126 citations · 552 across the 35 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

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.LG2025★ 1 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…

quant-ph2025

Light-cone feature selection in methane hyperspectral images

Artur Miroszewski, Jakub Nalepa, Agata M. Wijata

Hyperspectral images (HSIs) capture detailed spectral information across numerous contiguous bands, enabling the extraction of intrinsic characteristics of scanned objects and area…

quant-ph2025

To center or not to center? Hyperspectral data vs. quantum covariance matrices

Artur Miroszewski, Jakub Nalepa, Agata M. Wijata

We highlight how the normalization required for embedding data in quantum states affects data centering, which can significantly influence quantum amplitude-encoded covarianc…

cs.CV2025

Enhancing Coronary Artery Calcium Scoring via Multi-Organ Segmentation on Non-Contrast Cardiac Computed Tomography

Jakub Nalepa, Tomasz Bartczak, Mariusz Bujny +7

Despite coronary artery calcium scoring being considered a largely solved problem within the realm of medical artificial intelligence, this paper argues that significant improvemen…