MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)

Mixed-curvature Variational Autoencoders (ICLR 2020)

Final project for the M.Sc. in Engineering in Computer Science at Università degli Studi di Roma "La Sapienza" (A.Y. 2016/2017).

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

Data driven fault detection in chemical processes: Application to Tennessee Eastman Plant

Irregular shape nesting software for waste material optimisation in 2D machining.

In this repository I publish the python code, that was part of my master thesis. The thesis can be found here, however its in German though, sry. :/

This repository contains the research papers, white papers, thesis etc that I love.

Code for my master thesis in Deep Learning: "Generating answers to medical questions using recurrent neural networks"

Experiments for my masters thesis

Machine Learning for Trading

Audio fingerprinting and recognition in Python + similarity search on audio files

This repository holds the implementation, for the thesis project: Improving Collaborative Filtering Techniques by the use of Co-Training in Recommender Systems. This project was done under a thesis research for Fernando Benjamín Pérez Maurera, under supervision of Professor Paolo Cremonesi and Engineer Maurizio Ferrari, at Politecnico di Milano.

Evolutionary Based Moving Target Cyber-Defense Master Thesis

Master thesis project - a hybrid Neural Network-Decision Tree system and dataset for classical music form recognition and analysis.

Semi-Supervised Neural Machine Translation - for small bilingual datasets

Thesis: Face Recognizer

Hierarchical Paragraph Vectors

A robot motion planning simulator that can efficiently navigate partially observable environments using deep learning

Master's thesis about sparse approximation and dictionary learning using Cloud K-SVD for image denoising. Results show that the algorithm is able to learn sparse representations of signal vectors from distributed data samples in a heterogeneous network setup.