Materiały z seminariów prowadzonych w MI^2 DataLabie.

This repository contains code and resources that can be used to reproduce the results presented in the article "SeFNet: Linking tabular datasets with semantic feature nets"

Aggregated attributions for explanatory analysis of 3D segmentation models (WACV 2025 Oral)

This repository consists of collected data and code used to conduct studies described in the "Resistance Against Manipulative AI: Key Factors and Possible Actions" article, which was presented at 27th European Conference on Artificial Intelligence (2024).

Interpretable machine learning for time-to-event prediction in medicine and healthcare (Artificial Intelligence in Medicine, 2025)

[MICCAI 2024] Swin SMT: Global Sequential Modeling for Enhancing 3D Medical Image Segmentation

Rashomon-detect algorithm

Performance is not enough: the story of Rashomon's quartet

Find out more at: http://mi2.mini.pw.edu.pl/

SurvSHAP(t): Time-dependent explanations of machine learning survival models