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Name: Lorenzo Pirola
Type: User
Bio: Master's Degree in Computer Science @ Università degli Studi di Milano-Bicocca
Location: Milan, Italy
Name: Lorenzo Pirola
Type: User
Bio: Master's Degree in Computer Science @ Università degli Studi di Milano-Bicocca
Location: Milan, Italy
Wish you could follow a new sport but don't know enough about it? This application allows you to expand your knowledge by using analogies with sports you are familiar with. These analogies are calculated by aligning word embeddings spaces obtained from different text corpora (one for each sport).
This project aims to create a deep learning model suitable in a mobile context that can recognize flowers from images.
Have you spotted a lovely flower while you were walking and you would like to know its species? You can do it using this application: you'll just have to take a picture and wait a few seconds. This application is based on a neural network that is specially built for speed and lightness and it is capable of recognizing up to 102 different species. It was developed in Flutter, which means that it is available for both Android and iOS.
This application will help you to find relevant information within your tweets. Besides a basic search, it offers you the possibility to perform advanced searches and to personalize the results according to the preferences of a set of predefined users.
Need to purchase a product but don't want to waste your whole day reading all its reviews? Thanks to this app, you can quickly learn about all the strengths and weaknesses of each product effortlessly. This application identifies what users liked most and least through Sentiment Analysis and it uses this information to build quality-summaries for each product.
Lo scopo di questo progetto è quello di confrontare l’efficienza di diversi metodi per il confronto approssimativo di stringhe applicate nell’ambito del record linkage.
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