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...
share
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 ...
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...
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...
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...
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...
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...
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...
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...
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...
research
∙
10/01/2022
BIASeD: Bringing Irrationality into Automated System Design
Human perception, memory and decision-making are impacted by tens of cog...
research
∙
09/30/2022
Rethinking the Learning Paradigm for Facial Expression Recognition
Due to the subjective crowdsourcing annotations and the inherent inter-c...
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...
research
∙
06/09/2022
Spatial Entropy Regularization for Vision Transformers
Recent work has shown that the attention maps of Vision Transformers (VT...
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...
research
∙
05/18/2022
Neighbourhood matching creates realistic surrogate temporal networks
Temporal networks are essential for modeling and understanding systems w...
research
∙
03/15/2022
A Framework for Verifiable and Auditable Federated Anomaly Detection
Federated Leaning is an emerging approach to manage cooperation between ...
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...
research
∙
03/07/2022
Trajectory Test-Train Overlap in Next-Location Prediction Datasets
Next-location prediction, consisting of forecasting a user's location gi...
research
∙
02/22/2022
Generating Synthetic Mobility Networks with Generative Adversarial Networks
The increasingly crucial role of human displacements in complex societal...
research
∙
01/18/2022
Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis
Being able to provide counterfactual interventions - sequences of action...
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...
research
∙
10/04/2021
An Efficient Procedure for Mining Egocentric Temporal Motifs
Temporal graphs are structures which model relational data between entit...
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...
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...
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...
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...
research
∙
06/07/2021
Efficient Training of Visual Transformers with Small-Size Datasets
Visual Transformers (VTs) are emerging as an architectural paradigm alte...
research
∙
05/31/2021
Leveraging Mobile Phone Data for Migration Flows
Statistics on migration flows are often derived from census data, which ...
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...
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...
research
∙
10/19/2020
Semantic-Guided Inpainting Network for Complex Urban Scenes Manipulation
Manipulating images of complex scenes to reconstruct, insert and/or remo...
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...
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...
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 ...
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 ...
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 ...
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...
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...
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...
research
∙
02/13/2020
Understanding individual behaviour: from virtual to physical patterns
As "Big Data" has become pervasive, an increasing amount of research has...
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...
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...
research
∙
07/01/2019
Following wrong suggestions: self-blame in human and computer scenarios
This paper investigates the specific experience of following a suggestio...
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...
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...
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...
research
∙
02/05/2019
Detecting Permanent and Intermittent Purchase Hotspots via Computational Stigmergy
The analysis of credit card transactions allows gaining new insights int...
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...
research
∙
10/18/2018
