Software

In this section you may find the list of software that the MUDI Laboratory has worked / is currently working on.

Human-AI
Interaction
Assessment Tool

Online tool for the assessment of Human-AI Interaction in classification 
decision tasks via benefit and reliance diagrams and scores.

Details

MUDI

GitHub

Public repository to share open source software developed by the MUDI Lab.

Details

Decision Support Quality Assessment Tool

Online calculator for the assessment of the quality of AI-based decision support systems, along different and complementary dimensions, such as robustness, calibration, utility and impact on human decision making.

Details

Weakly Supervised Machine Learning tools

A package featuring utilities and algorithms for weakly supervised ML. Should be (more-or-less) compatible with scikit-learn! It collects original algorithms and methods developed by the contributors, as well as some algorithms available in the literature.

Details

Calibration Framework (Calframe)

Calibration is a multidimensional concept essential for assessing machine learning models. It helps understand a model’s global calibration performance, identify miscalibrated regions of the probability space, and determine the level of overconfidence or underconfidence of a model.

Details

Metrics for machine learning evaluation

This a repository collecting all metrics, algorithms and pieces of code related to data quality for Machine Learning, developed by me and others at the MUDI lab of the DISCo dept. @ University of Milano-Bicocca

Details

Spazio

CONTACTS

+39 02 6448 7861
Building U14 – Room T032 Viale Sarca 336 20126 – MILANO
federico.cabitza@unimib.it
davide.ciucci@unimib.it

Unimib

Disco Department

Disco Department

Disco Department

mudilab