R package for automated analysis of serological data

Package for Explanations of Remote Sensing Imaginery

SHAP Plots in R

Different SHAP algorithms

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

💡 Adversarial attacks on explanations and how to defend them

A Python package with explanation methods for extraction of feature interactions from predictive models

A powerful tool for comparing similarly structured documents

Explainable Machine Learning in Survival Analysis

The Hitchhiker’s Guide to Responsible Machine Learning

Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2021/2022

moDel Agnostic Language for Exploration and eXplanation

Network-guided greedy decision forest for feature subset selection

Trees are all you need

Monitor of SARS-CoV-2 variants and mutations

Checklist for an analysis of various aspects of responsibility of models and data resources

A curated list of resources for Document Understanding (DU) topic

Notes for the tutorial "Introduction to Machine Learning with R" given at "Biometrisches Kolloquium 2021"

Seminarium Magisterskie Machine Learning

Explanatory Model Analysis. Explore, Explain and Examine Predictive Models

Responsible Prediction Making of COVID-19 Mortality (AAAI 2021)

Create Shiny application with model exploration from explainers

R package for Multisource Embeddings for Medical Records

Materiały z seminariów prowadzonych w MI^2 DataLabie.

XAI Stories. Case studies for eXplainable Artificial Intelligence

Interactive XAI dashboard