Name: Samuele Bortolotti
Type: User
Company: University of Trento
Bio: I am a student currently attending University of Trento for a Ph.D. in Computer Science.
Twitter: samubortolotti
Location: Trento, Trentino-South Tyrol
Blog: https://samuelebortolotti.github.io
Samuele Bortolotti's Projects
Codebase for BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts.
Code for paper: "Coherent Hierarchical Multi-Label Classification Networks". Later modified in order to handle multiple explainations
Repository concerning the Education in Trentino Knowledge Graph developed for the Knowledge Graph Engineering course of the master's degree in Computer Science at University of Trento
Repository concerning a feature detector and tracker developed for the Computer Vision course of the master's degree in Computer Science at University of Trento
This program aims to count occurences of chars in multiple files using parellelism.
Brief literature review about Knuckle Finger Print biometric identification written for the Computer Vision course of the master's degree in Computer Science at University of Trento
Repository concerning data scraping and data integration for the Knowledge Graph Engineering course of the master's degree in Computer Science at University of Trento
Laplace approximations for Deep Learning.
Repository concerning a multi-level distributed cache implementation developed for the Distributed Systems 1 course of the master's degree in Computer Science at University of Trento
This repository provides a PyTorch implementation of FFDNet image denoising https://arxiv.org/abs/1710.04026. First implemented by Matias Tassano https://doi.org/10.5201/ipol.2019.231, the FFDNet source code has been adapted so as to extract cameras PRNU.
Materials of the Nordic Probabilistic AI School 2024.
Repository concerning the training of Deep Q-Learning Reinforcement Learning agents embedding Pareto optimal moves thanks to NSGA-II. It has been developed for the Bio-Inspired Artificial Intelligence course of the master's degree in Computer Science at University of Trento
High Performance Computing course project 2022
Python implementation of PRNU extractor
Relational Neural Machines, first implemented https://doi.org/10.48550/arXiv.2002.02193
Repository concerning a school registry following the RESTful API model. It has been developed for the Software Engineering 2 course of the bachelor's degree in Computer Science at University of Trento
This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers
TCAV Implementation in PyTorch
Repository containing the Unsupervised Domain Adaptation project developed for the Deep Learning course of the master's degree in Computer Science at University of Trento
Framework for the extraction of features from Wikipedia XML dumps.