6 citations · 6 across the 3 of their papers we have counts for
3 papers
Let Me DeCode You: Decoder Conditioning with Tabular Data
Tomasz Szczepański, Michal K. Grzeszczyk, Szymon Płotka +5
Training deep neural networks for 3D segmentation tasks can be challenging, often requiring efficient and effective strategies to improve model performance. In this study, we intro…
MISS: Multiclass Interpretable Scoring Systems
Michal K. Grzeszczyk, Tomasz Trzciński, Arkadiusz Sitek
In this work, we present a novel, machine-learning approach for constructing Multiclass Interpretable Scoring Systems (MISS) - a fully data-driven methodology for generating single…
TabAttention: Learning Attention Conditionally on Tabular Data
Michal K. Grzeszczyk, Szymon Płotka, Beata Rebizant +6
Medical data analysis often combines both imaging and tabular data processing using machine learning algorithms. While previous studies have investigated the impact of attention me…