Presenter: Jacopo FiorThursday, April 29th, 2021 17:30Location: Microsoft Teams – click here to join Jacopo Fior: Diversified stock portfolio planning based on time series clustering Planning buy-and-hold strategies for stock trading is a challenging financial task. It entails building a portfolio of stocks maximizing the expected return in the medium- […]
Yearly Archives: 2021
Introduction ODySSEUS is a data management and simulation software for mobility data, focused mostly on shared fleets in urban environments. Its goal is to provide a general, easy-to-use framework to simulate shared mobility scenarios across different cities using real-world data. Internally, it makes use of several open-source Python libraries such […]
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 […]
This webpage contains additional material of the paper: “Real-Time Classification of Real-Time Communications“ Published in IEEE Transactions on Network and Service Management, July 2022 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 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 […]
Presenter: Flavio GiobergiaThursday, March 18th, 2021 17:30Location: Microsoft Teams – click here to join Flavio Giobergia: Cross-lingual propagation of sentiment Information using aligned word vectors Deep learning methods have shown to be particularly effective in inferring the sentiment polarity of a snippet of text. However, such techniques typically require large […]
Presenter: Lorenzo PeriniMonday, March 1st, 2021 17:30Location: Microsoft Teams – click here to join Lorenzo Perini: Quantifying the confidence of anomaly detectors in their example-wise predictions Anomaly detection focuses on identifying examples in the data that somehow deviate from what is expected or typical. Algorithms for this task usually assign […]
Presenter: Pinky KumawatMonday, February 15th, 2021 17:30Location: Microsoft Teams – click here to join Pinky Kumawat: Use of digitisation for “smart” travel data collection Travel surveys and other traditional methods have been used for collecting mobility data since 1930s. Those surveys have been so far the most reliable approaches to […]
Presenter: Vittorio MazziaMonday, February 1st, 2021 17:30Location: Microsoft Teams – click here to join Vittorio Mazzia: Capsule Based Networks, Next Evolution of Convolutional Neural Networks? Deep convolutional neural networks (CNNs), assisted by architectural design strategies, make large use of data augmentation techniques and layers with a high number of feature […]
Welcome to new PhD students of 36° cycle. On 18th January 2021, each student exposed a brief presentation about himself: Perna Gianluca Jha Nikhil Ciociola Alessandro Manigrasso Francesco Colomba Luca Vacchetti Bartolomeo Bethaz Paolo Greco Salvatore Valentim Rodolfo
The SmartData Centers has a dedicated queue on the HPC cluster, which provides the possibility of using a 4-GPU server with priority access. To be enabled to access to the priority queue, please write to supporto@smartdata.polito.it. Once enabled, you must specify the smartdata partition instead of global at submission time. […]
By: Tommaso Rescio, Thomas Favale, Francesca Soro, Idilio Drago and Marco Mellia Having a clear insight on the protocols carryingtraffic is crucial for network security. Deep Packet Inspection (DPI) has been a key technique to provide visibility into traffic. DPI has proven effective in various scenarios, and indeed several open […]