Vedran Sekara

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Social Networks

Top Venues

Frontiers Big Data

Publications

Vedran Sekara, Andrea Martini, Manuel García-Herranz, Do-Hyung Kim
Uncovering large inconsistencies between machine learning derived gridded settlement datasets. CoRR (2024)
Vedran Sekara, Iván Dotú, Manuel Cebrián, Esteban Moro, Manuel García-Herranz
Detecting and Mitigating Bias in Algorithms Used to Disseminate Information in Social Networks. CoRR (2024)
Elisa Omodei, Dohyung Kim, Manuel García-Herranz, Vedran Sekara
Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches. Frontiers Big Data 6 (2024)
Therese Moreau, Roberta Sinatra, Vedran Sekara
Failing Our Youngest: On the Biases, Pitfalls, and Risks in a Decision Support Algorithm Used for Child Protection. FAccT (2024)
Laurenz Aisenpreis, Gustav Gyrst, Vedran Sekara
How Do US Congress Members Advertise Climate Change: An Analysis Of Ads Run On Meta's Platforms. CoRR (2023)
Rafiazka Millanida Hilman, Manuel García-Herranz, Vedran Sekara, Márton Karsai
Mobility Segregation Dynamics and Residual Isolation During Pandemic Interventions. CoRR (2023)
Vedran Sekara, Márton Karsai, Esteban Moro, Dohyung Kim, Enrique Delamónica, Manuel Cebrián, Miguel A. Luengo-Oroz, Rebeca Moreno Jimenez, Manuel García-Herranz
Are machine learning technologies ready to be used for humanitarian work and development? CoRR (2023)
Laurenz Aisenpreis, Gustav Gyrst, Vedran Sekara
How Do US Congress Members Advertise Climate Change: An Analysis of Ads Run on Meta's Platforms. ICWSM (2023)
Luca Pappalardo, Ed Manley, Vedran Sekara, Laura Alessandretti
Future directions in human mobility science. Nat. Comput. Sci. 3 (7) (2023)
Frank Schlosser, Vedran Sekara, Dirk Brockmann, Manuel García-Herranz
Biases in human mobility data impact epidemic modeling. CoRR (2021)
Piotr Sapiezynski, Johanna Pruessing, Vedran Sekara
The Fallibility of Contact-Tracing Apps. CoRR (2020)
Masoomali Fatehkia, Isabelle Tingzon, Ardie Orden, Stephanie Sy, Vedran Sekara, Manuel García-Herranz, Ingmar Weber
Mapping socioeconomic indicators using social media advertising data. EPJ Data Sci. 9 (1) (2020)
Vedran Sekara, Elisa Omodei, Laura Healy, Jan Beise, Claus Hansen, Danzhen You, Saskia Blume, Manuel García-Herranz
Mobile Phone Data for Children on the Move: Challenges and Opportunities. CoRR (2019)
Vedran Sekara, Enys Mones, Håkan Jonsson
Temporal Limits of Privacy in Human Behavior. CoRR (2018)
Vedran Sekara, Pierre Deville, Sebastian E. Ahnert, Albert-László Barabási, Roberta Sinatra, Sune Lehmann
The Chaperone Effect in Scientific Publishing. CoRR (2018)
Andrea Cuttone, Per Bækgaard, Vedran Sekara, Håkan Jonsson, Jakob Eg Larsen, Sune Lehmann
SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events. CoRR (2016)
Vedran Sekara, Arkadiusz Stopczynski, Sune Lehmann
The fundamental structures of dynamic social networks. CoRR (2015)
Vedran Sekara, Sune Lehmann
Application of network properties and signal strength to identify face-to-face links in an electronic dataset. CoRR (2014)
Arkadiusz Stopczynski, Vedran Sekara, Piotr Sapiezynski, Andrea Cuttone, Jakob Eg Larsen, Sune Lehmann
Measuring large-scale social networks with high resolution. WORKING PAPER. CoRR (2014)