HA-Growing Tree-CNN

The objective of this work is to improve the Tree-CNN approach and this will be done by the HA-Growing algorithm (Human Adaptive-Growing), that enhances the growing process and integrates the data-driven approach with human knowledge, allowing user interaction during the training process. A detailed description of what the code does and an analysis of the results can be found in the Report file.

Authors:

      Pietro Barbiero,
      Chiara Sopegno,
      Antonio Tavera

How it works

You can run the code with a Python environment (like Spyder) or directly from the terminal (inside the root folder of the project) like this:

> python /src/main.py