Search Results for author: Massimiliano Luca

Found 6 papers, 5 papers with code

Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets

no code implementations2 Jul 2022 Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez

State of the art Graph Neural Networks (GNNs) are used to extract information from the Tweet-MLN and make predictions based on the extracted graph features.

Emotion Recognition Sentiment Analysis

Trajectory Test-Train Overlap in Next-Location Prediction Datasets

1 code implementation7 Mar 2022 Massimiliano Luca, Luca Pappalardo, Bruno Lepri, Gianni Barlacchi

Next-location prediction, consisting of forecasting a user's location given their historical trajectories, has important implications in several fields, such as urban planning, geo-marketing, and disease spreading.

Marketing

Generating Synthetic Mobility Networks with Generative Adversarial Networks

1 code implementation22 Feb 2022 Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo

We conduct extensive experiments on public datasets of bike and taxi rides to show that MoGAN outperforms the classical Gravity and Radiation models regarding the realism of the generated networks.

Data Augmentation

A Survey on Deep Learning for Human Mobility

1 code implementation4 Dec 2020 Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, Luca Pappalardo

The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more.

Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic information

1 code implementation1 Dec 2020 Filippo Simini, Gianni Barlacchi, Massimiliano Luca, Luca Pappalardo

The movements of individuals within and among cities influence critical aspects of our society, such as well-being, the spreading of epidemics, and the quality of the environment.

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