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Private Mobility Constrained Segregation Models
Since the development of the original Schelling model of urban segregation, several enhancements have been proposed, but none have considered the impact of mobility constraints... -
Interpretable socioeconomic status inference from aerial imagery through urba...
Urbanization is a great challenge for modern societies, promising better access to economic opportunities, but widening socioeconomic inequalities. Accurately tracking this...-
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Spatio temporal visual analytics a vision for 2020s
Visual analytics is a research discipline that is based on acknowledging the power and the necessity of the human vision, understanding, and reasoning in data analysis and...-
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Geo-semantic-parsing AI-powered geoparsing by traversing semantic knowledge g...
Online social networks convey rich information about geospatial facets of reality. However in most cases, geographic information is not explicit and structured, thus... -
The limits of differential privacy and its misuse in data release and machine...
Differential privacy (DP) is a neat privacy definition that can co-exist with certain well-defined data uses in the context of interactive queries. However, DP is neither a... -
Mobility data sharing: application potential and ethical issues webinar
4th SoBigData++ Awareness Panel Webinar Programme Decentralized anonymization of mobility data Speaker: Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)... -
Automated Methods of Urban Green Analysis
The seminar aims at providing a preliminary definition of the state-of-the-art upon automatic methods for systematized urban green data collection. The talk focuses on the...-
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Tutorials on anonymization and antidiscrimination of datasets
These tutorials show how to use the already implemented libraries for the anonymization and antidiscrimination of data sets: - Anonymization library:...-
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STS-EPR: Modelling individual mobility considering the spatial, temporal, and...
Modelling human mobility is crucial in several scientific areas, from urban planning to epidemic modeling, traffic forecasting, and what-if analysis. On the one hand, existing... -
Estimating and understanding countries' peace index with GDELT
Our objective is to measure the Global Peace Index (GPI) at a monthly frequency, as compared to the official annual GPI score, to have more frequent updates of peacefulness.... -
Evaluation of home location detection algorithms on three mobile phone record...
We created a dataset that comprises the mobile phone activity of sixty-five participants for whom the geographical coordinates of their residence location are known. The... -
Validation for MoGAN
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... -
Validation of the Deep Gravity model
We conducted experiments on mobility flows in England, Italy, and New York State to show that Deep Gravity achieves a significant increase in performance, especially in... -
Estimation of emissions from vehicles' GPS trajectories
We used the mobility-emission methods (https://data.d4science.org/ctlg/ResourceCatalogue/mobility-emissions) to perform experiments on real GPS trajectories describing 433,272... -
Simulation of individual mobility using STS-EPR
In this experiment we simulate the mobility of individuals in New York City, London, and Tokyo, using STS-EPR. For each city, we compare the synthetic trajectories generated...-
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Experiment for Mobility Constrained Segregation Models
We propose a segregation model incorporating mobility constraints to make agents select their location based on distance and location relevance. This study fills this gap by... -
Regional Bioelectrical Phase Angle Is More Informative than Whole-Body Phase ...
The objective of this study was to investigate the association between regional and total phase angle (PhA) with lower-body neuromuscular performance in young elite soccer... -
Blood sample profile helps to injury forecasting in elite soccer players
Hematocrit, Hemoglobin, number of red blood cells, testosterone, and ferritin were the most important features that allowed to profile players and to analyze the response to... -
Soccer & data cup - Expo Dubai 2020
Soccer & Data Cup at Expo Dubai 2020 will be a 3-days international hybrid marathon of Sport Analytics combining fundamental techniques of data analysis and Artificial... -
Relationship of body morphology a sports performance in elite soccer players
Background – This study aimed to analyse the relationship of regional and whole body morphology to vertical jump performance and to compare the morphological features outlining...
