Francesco Baiocchi
francescobaio
Artificial Intelligence Student @ Unibo
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23
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Open-set semantic segmentation on StreetHazards (anomaly / OOD detection for urban driving scenes)
Benchmarking Multiple GNNs for Predicting Whether a Soccer Action Ends in a Shot
Personal portfolio & blog built with React, Vite, TypeScript.
Image classification system for grocery store shelves using CNNs.
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
Project for TinyML hackathon in Turin
Repositories
23Personal portfolio & blog built with React, Vite, TypeScript.
Open-set semantic segmentation on StreetHazards (anomaly / OOD detection for urban driving scenes)
Image classification system for grocery store shelves using CNNs.
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
Project for TinyML hackathon in Turin
This repository contains the code and documentation for the Artificial Intelligence exam project. The project focuses on the topic of "Inference with Junction Trees on Belief Networks."
Benchmarking Multiple GNNs for Predicting Whether a Soccer Action Ends in a Shot
Resume Parsing Bias Detection Pipeline
No description provided.
The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.
Combinatorial optimization project for the Multiple Couriers Problem (MCP).
Assignments in the realm of Natural Language Processing for Sexism Detection, developed as part of the NLP course at the University of Bologna.
A computer vision-based system for detecting and identifying food products on store shelves in OpenCV.
This repository contains comprehensive solutions and analyses for four key homework assignments in the realm of Statistical and Machine Learning. The repository is structured to include both the original PDFs of the homework assignments and Jupyter notebooks that provide detailed code solutions.
This project was undertaken as part of the Deep Learning course final exam. The primary objective of this project is to develop and implement a deep learning model for sentence reordering. Sentence reordering is a challenging Natural Language Processing (NLP) task that involves rearranging the words in an ordered sentence.
Config files for my GitHub profile.
SearchArt is an innovative web application developed from scratch, utilizing foundational web technologies such as HTML, CSS, PHP, and JavaScript without relying on any frameworks.
This repository contains the LaTeX source code for my professional Curriculum Vitae (CV), built using the Awesome-CV template. The CV includes my academic background, technical skills, professional experience, and personal achievements.
This project was undertaken as part of our Data Structures course. The primary objective of this project is to implement and analyze Red-Black Trees (RBT) and Binary Search Trees (BST). The project focuses on the comparative performance, efficiency, and use cases of these two fundamental data structures.
ChessApp is a Java-based chess application that allows users to organize chess tournaments. The project includes a detailed documentation file, "Relazione_SWE.pdf," which provides insights into the development process, requirements analysis, class diagrams, and use cases.
This project was undertaken as part of our Algorithms course. The primary objective of this project is to implement and analyze Kruskal's algorithm for finding the Minimum Spanning Tree (MST) in a graph. The project also explores connected components within a graph, providing a comprehensive toolkit for graph analysis.
Welcome to the TimerClock repository! This project is a programming laboratory focused on creating a timer and clock functionality using C++ and QMake.
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