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Hi there 👋🏻

Diletta Goglia

Brief recap of my current activity:

Contact

Interests

  • Computational Social Science
  • Data Mining
  • Deep Learning and Neural Models
  • Signal processing and analysis

Languages and Tools:

PyCharm JuPyter Keras Tensorflow HTML5 CSS3 JavaScript



GitHub activity:

dilettagoglia




Currently working on:



Latest projects:

Diletta Goglia's Projects

ai-2 icon ai-2

🕹️Among AI's videogame - development of "Karen" artificial player with Deep Models, cellular automata and fuzzy rules

ai4mig icon ai4mig

🕊️Use of non-traditional data sources to nowcast migration trends through Artificial Intelligence technologies (academic research project).

aima-python icon aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

bachelor-s-degree-thesis icon bachelor-s-degree-thesis

Linked Open Data per il Cultural Heritage italiano: conversione e pubblicazione nel Semantic Web del Fondo antico del Comune di Novi Ligure

bibinet icon bibinet

💬A Gated Recurrent Neural Network for Supervised Text Classification: detecting hate speech from different online textual genres.

countryinfo icon countryinfo

A python module for returning data about countries, ISO info and states/provinces within them.

datamining icon datamining

🔎Data Understanding, Visualization , Preparation & Cleaning - Clustering algorithms (unsupervised learning) - Classification algorithms (supervised learning) - Sequential Pattern Mining

exams icon exams

Collection of oral questions and exam material

impl-nn-from-scratch icon impl-nn-from-scratch

🧠Implementation of a Neural Network from scratch in Python for the Machine Learning Course.

mappa icon mappa

🍀Medicinal and Aromatic Plant Procedures for Authentication (MAPPA project)

mimi-dataset icon mimi-dataset

Multi-aspect Integrated Migration Indicators (MIMI) dataset

mlxtend icon mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

robotics icon robotics

Course of Robotics, University of Pisa, A.Y. 2019/20

sicss-2023 icon sicss-2023

All materials for the 2023 instance of SICSS at Norrköping

signal-processing icon signal-processing

🔁Graphical models, Recurrent Neural Networks and SIFT algorithm for image processing, signal analysis and timeseries forecasting (MD Course: Intelligent Systems for Pattern Recognition)

text-encoding-project-ner icon text-encoding-project-ner

Annotation for Named Entity Recognition task. Standard used for encoding: XML TEI P5, XSL stilesheets, XHTML, XMLS, RelaxNG, DTD

unconstrained-optimization icon unconstrained-optimization

Estimating the 2-norm for a rectangular matrix (unconstrained approach) using two optimization algorithms: Standard gradient descent (steepest descent) method, and quasi-Newton method

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