Telefónica-ko ikertzaileekin lankidetzan egindako argitalpenak (45)

2022

  1. Improving epidemic risk maps using mobility information from mobile network data

    GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

  2. Modeling international mobility using roaming cell phone traces during COVID-19 pandemic

    EPJ Data Science, Vol. 11, Núm. 1

  3. Using mobile network data to color epidemic risk maps

    Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Computing for Epidemiology, SpatialEpi 2022

2021

  1. Exploring night and day socio-spatial segregation based on mobile phone data: The case of Medellin (Colombia)

    Computers, Environment and Urban Systems, Vol. 89

  2. Spatial sensitivity analysis for urban hotspots using cell phone traces

    Environment and Planning B: Urban Analytics and City Science, Vol. 48, Núm. 9, pp. 2623-2639

  3. Trade-offs between individual and ensemble forecasts of an emerging infectious disease

    Nature Communications, Vol. 12, Núm. 1

2020

  1. A Characterization of the COVID-19 Pandemic Impact on a Mobile Network Operator Traffic

    Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC

  2. Addressing Under-Reporting to Enhance Fairness and Accuracy in Mobility-based Crime Prediction

    GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

2019

  1. The inverted U-shaped effect of urban hotspots spatial compactness on urban economic growth

    Royal Society Open Science, Vol. 6, Núm. 11

2018

  1. MobInsight: A framework using semantic neighborhood features for localized interpretations of urban mobility

    ACM Transactions on Interactive Intelligent Systems, Vol. 8, Núm. 3

2016

  1. MobInsight: Understanding Urban Mobility with Crowd-Powered Neighborhood Characterizations

    IEEE International Conference on Data Mining Workshops, ICDMW

  2. Peer-to-peer microlending platforms: Characterization of online traits

    Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

  3. Topic models to infer socio-economic maps

    30th AAAI Conference on Artificial Intelligence, AAAI 2016

2015

  1. Comparing and modelling land use organization in cities

    Royal Society Open Science, Vol. 2, Núm. 12

  2. Exploring the potential of phone call data to characterize the relationship between social network and travel behavior

    Transportation, Vol. 42, Núm. 4, pp. 647-668

  3. Mobile Network Data for Public Health: Opportunities and Challenges

    Frontiers in Public Health, Vol. 3

  4. Uncovering the spatial structure of mobility networks

    Nature Communications, Vol. 6

2014

  1. Consensus clustering for urban land use analysis using cell phone network data

    International Journal of Ad Hoc and Ubiquitous Computing, Vol. 17, Núm. 1, pp. 39-58

  2. Cross-checking different sources of mobility information

    PLoS ONE, Vol. 9, Núm. 8

  3. Estimation of traffic flow using passive cell-phone data

    Proceedings of the ACM SIGMOD International Conference on Management of Data