The SmartData@PoliTO center focuses on Big Data technologies, Data Science and Machine Learning approaches.
We blend interdisciplinary people and competences from different domains to provide cross-domain solutions to the widest spectrum of knowledge discovery challenges, by leveraging advanced expertise in data science, from data management, to data modeling, analytics, and engineering.
We are a well-recognized center where experts in methodologies and domain experts from various disciplines work in a single space, facing both theoretical problems and helping companies toward applications.
Reconstructing epidemic cascades with autoregressive neural networks
Presenter: Fabio MazzaThursday, April 15th, 2021 17:30Location: Microsoft Teams – click here to join Fabio Mazza: Reconstructing epidemic cascades with autoregressive neural networks In the case of inference of epidemic spreading of a disease, we usually have missing or partial information on an epidemic cascade. In order to understand, characterize and mitigate the spreading of […]
Real-Time Classification of Real-Time Communications
This webpage contains additional material of the paper: “Real-Time Classification of Real-Time Communications“ (currently under revision) Year: 2021 Authors: Gianluca Perna, Dena Markudova, Martino Trevisan, Michela Meo, Paolo Garza, Maurizio Munafò, Giovanna Carofiglio The data You can find the dataset and the classifiers on this link: Data and classifiers The link contains: webex_dataset.csv – a […]
Discrete Fracture Network Flow Simulations
This repository contains data and information regarding the paper: Stefano Berrone and Francesco Della Santa, “Performance Analysis of Multi-Task Deep Learning Models for Flux Regression in Discrete Fracture Networks” (to appear on the special issue “Quantitative Fractured Rock Hydrology” of Geosciences, ISSN 2076-3263). Summary: Analysis of underground flows in fractured media is relevant in several […]