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PIPELINE PER TIROCINIO, Theory, XAI, ==> experiments and results,…
PIPELINE PER TIROCINIO
Pb: classify fruit on maturation level
Take photos
Set of images
Computer Vision Techniques
(surface analysis only, doesn't consider what's inside the fruit)
Can extract colors
Spectral data
Other techniques for analysis
Use sensors
Structured data
physico-chemical characteristics
Machine Learning prediction model
XAI to explain the model
Theory
The most popular is Random Forest
What is RF?
What is ML?
Supervised vs unsupervised
Different models
XAI
Classification
Model agnostic vs dependent
Global vs local
Post-hoc
Extraction vs reduction
Selected techniques
SHAP
DPG
Feature Importance
What is XAI?
Why XAI?
==> experiments and results
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colors could be compared
we are here
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What is DPG?