Farid Karimipour
Edelsbrunner Group
4 Publications
2023 | Published | Conference Paper | IST-REx-ID: 12548 |

M. Forghani, C. Claramunt, F. Karimipour, and G. Heiler, “Visual analytics of mobility network changes observed using mobile phone data during COVID-19 pandemic,” in 2022 IEEE International Conference on Data Mining Workshops, Orlando, FL, United States, 2023.
[Submitted Version]
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| Files available
| DOI
| WoS
2022 | Published | Journal Article | IST-REx-ID: 10208 |

S. Goudarzi, M. Sharif, and F. Karimipour, “A context-aware dimension reduction framework for trajectory and health signal analyses,” Journal of Ambient Intelligence and Humanized Computing, vol. 13. Springer Nature, pp. 2621–2635, 2022.
[Submitted Version]
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| Files available
| DOI
| WoS
2021 | Published | Conference Paper | IST-REx-ID: 9253 |

G. Heiler et al., “Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic,” in 2020 IEEE International Conference on Big Data, Atlanta, GA, United States, 2021, pp. 3123–3132.
[Preprint]
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| DOI
| Download Preprint (ext.)
| WoS
| arXiv
Grants
4 Publications
2023 | Published | Conference Paper | IST-REx-ID: 12548 |

M. Forghani, C. Claramunt, F. Karimipour, and G. Heiler, “Visual analytics of mobility network changes observed using mobile phone data during COVID-19 pandemic,” in 2022 IEEE International Conference on Data Mining Workshops, Orlando, FL, United States, 2023.
[Submitted Version]
View
| Files available
| DOI
| WoS
2022 | Published | Journal Article | IST-REx-ID: 10208 |

S. Goudarzi, M. Sharif, and F. Karimipour, “A context-aware dimension reduction framework for trajectory and health signal analyses,” Journal of Ambient Intelligence and Humanized Computing, vol. 13. Springer Nature, pp. 2621–2635, 2022.
[Submitted Version]
View
| Files available
| DOI
| WoS
2021 | Published | Conference Paper | IST-REx-ID: 9253 |

G. Heiler et al., “Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic,” in 2020 IEEE International Conference on Big Data, Atlanta, GA, United States, 2021, pp. 3123–3132.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv