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EPJ data science

Showing results (1-10 of 99) with videos related to

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EPJ Data Science|March 12, 2019
Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, PakistanMoritz U G Kraemer, D Bisanzio, R C Reiner, et al.
EPJ Data Science|October 25, 2021
Finding disease outbreak locations from human mobility dataFrank Schlosser, Dirk Brockmann
EPJ Data Science|December 19, 2022
The potential of Facebook advertising data for understanding flows of people from Ukraine to the European UnionUmberto Minora, Claudio Bosco, Stefano M Iacus, et al.
EPJ Data Science|May 2, 2020
Mining open datasets for transparency in taxi transport in metropolitan environmentsAnastasios Noulas, Vsevolod Salnikov, Renaud Lambiotte, et al.
EPJ Data Science|February 24, 2025
Understanding stock market instability via graph auto-encodersDragos Gorduza, Stefan Zohren, Xiaowen Dong
EPJ Data Science|May 16, 2022
Using mobile money data and call detail records to explore the risks of urban migration in TanzaniaRosa Lavelle-Hill, John Harvey, Gavin Smith, et al.
EPJ Data Science|June 7, 2021
Evaluation of home detection algorithms on mobile phone data using individual-level ground truthLuca Pappalardo, Leo Ferres, Manuel Sacasa, et al.
EPJ Data Science|February 7, 2020
A roadmap for the computation of persistent homologyNina Otter, Mason A Porter, Ulrike Tillmann, et al.
EPJ Data Science|May 1, 2023
Forecasting patient flows with pandemic induced concept drift using explainable machine learningTeo Susnjak, Paula Maddigan
EPJ Data Science|September 25, 2023
Using word embeddings to analyse audience effects and individual differences in parenting SubredditsMelody Sepahpour-Fard, Michael Quayle, Maria Schuld, et al.
Pageof 10

Showing results (1-10 of 99) with videos related to

Sort By:
Pageof 10
EPJ Data Science|March 12, 2019
Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, PakistanMoritz U G Kraemer, D Bisanzio, R C Reiner, et al.
EPJ Data Science|October 25, 2021
Finding disease outbreak locations from human mobility dataFrank Schlosser, Dirk Brockmann
EPJ Data Science|December 19, 2022
The potential of Facebook advertising data for understanding flows of people from Ukraine to the European UnionUmberto Minora, Claudio Bosco, Stefano M Iacus, et al.
EPJ Data Science|May 2, 2020
Mining open datasets for transparency in taxi transport in metropolitan environmentsAnastasios Noulas, Vsevolod Salnikov, Renaud Lambiotte, et al.
EPJ Data Science|February 24, 2025
Understanding stock market instability via graph auto-encodersDragos Gorduza, Stefan Zohren, Xiaowen Dong
EPJ Data Science|May 16, 2022
Using mobile money data and call detail records to explore the risks of urban migration in TanzaniaRosa Lavelle-Hill, John Harvey, Gavin Smith, et al.
EPJ Data Science|June 7, 2021
Evaluation of home detection algorithms on mobile phone data using individual-level ground truthLuca Pappalardo, Leo Ferres, Manuel Sacasa, et al.
EPJ Data Science|February 7, 2020
A roadmap for the computation of persistent homologyNina Otter, Mason A Porter, Ulrike Tillmann, et al.
EPJ Data Science|May 1, 2023
Forecasting patient flows with pandemic induced concept drift using explainable machine learningTeo Susnjak, Paula Maddigan
EPJ Data Science|September 25, 2023
Using word embeddings to analyse audience effects and individual differences in parenting SubredditsMelody Sepahpour-Fard, Michael Quayle, Maria Schuld, et al.
Pageof 10