The (un)official repository for my master thesis

Applying CNNs, Decoders, and Transfer Learning to distinguish the MRIs of heavy cannabis users vs. controls

Classification on gene chips

Using this model we can detect whether the extension is malicious or not

Python project for the Bioinformatics course at Unimi

SVM and Feature Selection course.

This project intends on creating one SVM and one unsupervised Learning neural network to predict the maturity stages of bananas based on pictures.

Classify traffic signs using traditional machine learning method and deep learning methods. [course project of "Media and Recognition"]

A project to compare the performance of Random Forests against Support Vector Machine using a wine dataset from Kaggle. Metrics such as precision, recall, f1-score, loss and the 95% confidence interval of the true risk were compared.

Decoding and Classification of Category‐Specific Visual Stimuli in the Fusiform Gyrus Using fMRI Data and Machine Learning

An essay on comparing 2 ML applications on connectomes