Name: Diletta Goglia
Type: User
Company: Uppsala University
Bio: PhD candidate in Network Science at Department of Information Technology, Division of Computing Science, Uppsala University, Sweden
Twitter: dilettagoglia
Location: Uppsala, Sweden
Blog: http://www.it.uu.se/katalog/dilgo529
Diletta Goglia's Projects
🕹️Among AI's videogame - development of "Karen" artificial player with Deep Models, cellular automata and fuzzy rules
Social and Ethical Issues in Information Technology - material and project
🕊️Use of non-traditional data sources to nowcast migration trends through Artificial Intelligence technologies (academic research project).
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A list of awesome resources for Computational Social Science
Linked Open Data per il Cultural Heritage italiano: conversione e pubblicazione nel Semantic Web del Fondo antico del Comune di Novi Ligure
💬A Gated Recurrent Neural Network for Supervised Text Classification: detecting hate speech from different online textual genres.
A python module for returning data about countries, ISO info and states/provinces within them.
🔎Data Understanding, Visualization , Preparation & Cleaning - Clustering algorithms (unsupervised learning) - Classification algorithms (supervised learning) - Sequential Pattern Mining
👋🏻GitHub Welcome page
Collection of oral questions and exam material
🧠Implementation of a Neural Network from scratch in Python for the Machine Learning Course.
SmartBin - a smart solution for garbage management
🍀Medicinal and Aromatic Plant Procedures for Authentication (MAPPA project)
🎓Collection of useful repositories
Multi-aspect Integrated Migration Indicators (MIMI) dataset
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Some useful scripts of NLP analysis in Python
Natural Language Analysis with Python NLTK
Course of Robotics, University of Pisa, A.Y. 2019/20
Lecture notes and final project
Final project for SICSS-IAS Research School (June 2023)
All materials for the 2023 instance of SICSS at Norrköping
🔁Graphical models, Recurrent Neural Networks and SIFT algorithm for image processing, signal analysis and timeseries forecasting (MD Course: Intelligent Systems for Pattern Recognition)
🌐 Academic Template for my portfolio
Annotation for Named Entity Recognition task. Standard used for encoding: XML TEI P5, XSL stilesheets, XHTML, XMLS, RelaxNG, DTD
Estimating the 2-norm for a rectangular matrix (unconstrained approach) using two optimization algorithms: Standard gradient descent (steepest descent) method, and quasi-Newton method
Website of the UU-Infolab