b'Bruno Lepri'

research

∙ 09/15/2023

Quantitative and Qualitative Evaluation of Reinforcement Learning Policies for Autonomous Vehicles

Optimizing traffic dynamics in an evolving transportation landscape is c...

0 Laura Ferrarotti, et al. ∙

research

∙ 09/03/2023

Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection

Malicious use of deepfakes leads to serious public concerns and reduces ...

0 Weijie Wang, et al. ∙

research

∙ 06/14/2023

Adaptation of Student Behavioural Routines during COVID-19: A Multimodal Approach

One population group that had to significantly adapt and change their be...

0 Nicolò A. Girardini, et al. ∙

research

∙ 05/28/2023

Point-PC: Point Cloud Completion Guided by Prior Knowledge via Causal Inference

Point cloud completion aims to recover raw point clouds captured by scan...

0 Weizhi Nie, et al. ∙

research

∙ 05/25/2023

T2TD: Text-3D Generation Model based on Prior Knowledge Guidance

In recent years, 3D models have been utilized in many applications, such...

0 Weizhi Nie, et al. ∙

research

∙ 05/11/2023

Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries

Mobile phone data have played a key role in quantifying human mobility d...

0 Lorenzo Lucchini, et al. ∙

research

∙ 02/02/2023

Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities

Graph Neural Networks (GNNs) have become the leading paradigm for learni...

0 Antonio Longa, et al. ∙

research

∙ 12/15/2022

Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science

Urban agglomerations are constantly and rapidly evolving ecosystems, wit...

0 Massimiliano Luca, et al. ∙

research

∙ 10/27/2022

Explaining the Explainers in Graph Neural Networks: a Comparative Study

Following a fast initial breakthrough in graph based learning, Graph Neu...

0 Antonio Longa, et al. ∙

research

∙ 10/03/2022

Smooth image-to-image translations with latent space interpolations

Multi-domain image-to-image (I2I) translations can transform a source im...

14 Yahui Liu, et al. ∙

research

∙ 10/01/2022

BIASeD: Bringing Irrationality into Automated System Design

Human perception, memory and decision-making are impacted by tens of cog...

9 Aditya Gulati, et al. ∙

research

∙ 09/30/2022

Rethinking the Learning Paradigm for Facial Expression Recognition

Due to the subjective crowdsourcing annotations and the inherent inter-c...

0 Weijie Wang, et al. ∙

research

∙ 09/06/2022

An End-to-End Solution for Enabling Urban Cyclability: The Bike2Work Experience

Mobility plays a fundamental role in modern cities. How citizens experie...

0 Antonio Bucchiarone, et al. ∙

research

∙ 06/09/2022

Spatial Entropy Regularization for Vision Transformers

Recent work has shown that the attention maps of Vision Transformers (VT...

21 Elia Peruzzo, et al. ∙

research

∙ 05/27/2022

Generating personalized counterfactual interventions for algorithmic recourse by eliciting user preferences

Counterfactual interventions are a powerful tool to explain the decision...

0 Giovanni De Toni, et al. ∙

research

∙ 05/18/2022

Neighbourhood matching creates realistic surrogate temporal networks

Temporal networks are essential for modeling and understanding systems w...

0 Antonio Longa, et al. ∙

research

∙ 03/15/2022

A Framework for Verifiable and Auditable Federated Anomaly Detection

Federated Leaning is an emerging approach to manage cooperation between ...

0 Gabriele Santin, et al. ∙

research

∙ 03/11/2022

Reprogramming FairGANs with Variational Auto-Encoders: A New Transfer Learning Model

Fairness-aware GANs (FairGANs) exploit the mechanisms of Generative Adve...

0 Beatrice Nobile, et al. ∙

research

∙ 03/07/2022

Trajectory Test-Train Overlap in Next-Location Prediction Datasets

Next-location prediction, consisting of forecasting a user's location gi...

1 Massimiliano Luca, et al. ∙

research

∙ 02/22/2022

Generating Synthetic Mobility Networks with Generative Adversarial Networks

The increasingly crucial role of human displacements in complex societal...

8 Giovanni Mauro, et al. ∙

research

∙ 01/18/2022

Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis

Being able to provide counterfactual interventions - sequences of action...

0 Giovanni De Toni, et al. ∙

research

∙ 01/07/2022

Modeling International Mobility using Roaming Cell Phone Traces during COVID-19 Pandemic

Most of the studies related to human mobility are focused on intra-count...

0 Massimiliano Luca, et al. ∙

research

∙ 10/04/2021

An Efficient Procedure for Mining Egocentric Temporal Motifs

Temporal graphs are structures which model relational data between entit...

0 Antonio Longa, et al. ∙

research

∙ 09/26/2021

ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation

Recently, there has been an increasing interest in image editing methods...

2 Yahui Liu, et al. ∙

research

∙ 08/19/2021

Click to Move: Controlling Video Generation with Sparse Motion

This paper introduces Click to Move (C2M), a novel framework for video g...

3 Pierfrancesco Ardino, et al. ∙

research

∙ 07/26/2021

Living in a pandemic: adaptation of individual mobility and social activity in the US

The non-pharmaceutical interventions (NPIs), aimed at reducing the diffu...

0 Lorenzo Lucchini, et al. ∙

research

∙ 06/16/2021

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

Image-to-Image (I2I) multi-domain translation models are usually evaluat...

9 Yahui Liu, et al. ∙

research

∙ 06/07/2021

Efficient Training of Visual Transformers with Small-Size Datasets

Visual Transformers (VTs) are emerging as an architectural paradigm alte...

17 Yahui Liu, et al. ∙

research

∙ 05/31/2021

Leveraging Mobile Phone Data for Migration Flows

Statistics on migration flows are often derived from census data, which ...

0 Massimiliano Luca, et al. ∙

research

∙ 01/27/2021

Detecting discriminatory risk through data annotation based on Bayesian inferences

Thanks to the increasing growth of computational power and data availabi...

0 Elena Beretta, et al. ∙

research

∙ 12/04/2020

A Survey on Deep Learning for Human Mobility

The study of human mobility is crucial due to its impact on several aspe...

0 Massimiliano Luca, et al. ∙

research

∙ 10/19/2020

Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation

Manipulating images of complex scenes to reconstruct, insert and/or remo...

6 Pierfrancesco Ardino, et al. ∙

research

∙ 08/11/2020

Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation

Image to image translation aims to learn a mapping that transforms an im...

2 Raul Gomez, et al. ∙

research

∙ 08/10/2020

Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach

Manipulating visual attributes of images through human-written text is a...

15 Yahui Liu, et al. ∙

research

∙ 06/26/2020

Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data

Using smartphone location data from Colombia, Mexico, and Indonesia, we ...

0 Samuel P. Fraiberger, et al. ∙

research

∙ 04/24/2020

Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks

A fundamental problem of interest to policy makers, urban planners, and ...

0 Gevorg Yeghikyan, et al. ∙

research

∙ 04/13/2020

Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities

Nowadays, 23 metropolises, criminal activity is much higher and violent ...

0 Marco De Nadai, et al. ∙

research

∙ 04/10/2020

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

The rapid dynamics of COVID-19 calls for quick and effective tracking of...

0 Mirco Nanni, et al. ∙

research

∙ 03/27/2020

Mobile phone data and COVID-19: Missing an opportunity?

This paper describes how mobile phone data can guide government and publ...

0 Nuria Oliver, et al. ∙

research

∙ 03/15/2020

GMM-UNIT: Unsupervised Multi-Domain and Multi-Modal Image-to-Image Translation via Attribute Gaussian Mixture Modeling

Unsupervised image-to-image translation (UNIT) aims at learning a mappin...

0 Yahui Liu, et al. ∙

research

∙ 02/13/2020

Understanding individual behaviour: from virtual to physical patterns

As "Big Data" has become pervasive, an increasing amount of research has...

0 Marco De Nadai, et al. ∙

research

∙ 07/16/2019

Assessing Refugees' Integration via Spatio-temporal Similarities of Mobility and Calling Behaviors

In Turkey the increasing tension, due to the presence of 3.4 million Syr...

0 Antonio L. Alfeo, et al. ∙

research

∙ 07/12/2019

Gesture-to-Gesture Translation in the Wild via Category-Independent Conditional Maps

Recent works have shown Generative Adversarial Networks (GANs) to be par...

1 Yahui Liu, et al. ∙

research

∙ 07/01/2019

Following wrong suggestions: self-blame in human and computer scenarios

This paper investigates the specific experience of following a suggestio...

0 Andrea Beretta, et al. ∙

research

∙ 05/07/2019

PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms

Mobile phones provide a powerful sensing platform that researchers may a...

0 Wen Dong, et al. ∙

research

∙ 04/19/2019

Apps, Places and People: strategies, limitations and trade-offs in the physical and digital worlds

Cognition has been found to constrain several aspects of human behaviour...

0 Marco De Nadai, et al. ∙

research

∙ 03/22/2019

The invisible power of fairness. How machine learning shapes democracy

Many machine learning systems make extensive use of large amounts of dat...

0 Elena Beretta, et al. ∙

research

∙ 02/05/2019

Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy

The analysis of credit card transactions allows gaining new insights int...

0 Antonio L. Alfeo, et al. ∙

research

∙ 12/08/2018

Mobile Money: Understanding and Predicting its Adoption and Use in a Developing Economy

Access to financial institutions is difficult in developing economies an...

0 Simone Centellegher, et al. ∙

research

∙ 10/18/2018

Urban Swarms: A new approach for autonomous waste management

Modern cities are growing ecosystems that face new challenges due to the...

0 Antonio Luca Alfeo, et al. ∙

Bruno Lepri

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