Invisible link to canonical for Microformats
 

References

References & Scientific Literature

  • Predicting Risk of Inadequate Micronutrient Intake with Transferable Machine Learning Models

    Voukelatou, V., Tang, K., Lauzana, I., Jangid, M., Martini, G., de Pee, S., Knight, F., & Piovani, D. (2026)

    Scientific Reportsdoi:10.1038/s41598-025-26179-7

  • ennemi: Non-linear Correlation Detection with Mutual Information

    Laarne, P., Zaidan, M. A., & Nieminen, T. (2021)

    SoftwareXdoi:10.1016/j.softx.2021.100686

  • Time-Series Clustering – A Decade Review

    Aghabozorgi, S., Shirkhorshidi, A. S., & Wah, T. Y. (2015)

    Information Systemsdoi:10.1016/j.is.2015.04.007

  • BERTopic: Neural Topic Modeling with a Class-Based TF-IDF Procedure

    Grootendorst, M. (2022)

    arXiv PreprintarXiv:2203.05794

  • GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

    Zaratiana, U., Tomeh, N., Holat, P., & Charnois, T. (2023)

    arXiv PreprintarXiv:2311.08526

  • Measuring Information Transfer

    Schreiber, T. (2000)

    Physical Review Lettersdoi:10.1103/PhysRevLett.85.461

  • Symbolic Transfer Entropy

    Staniek, M., & Lehnertz, K. (2008)

    Physical Review Lettersdoi:10.1103/PhysRevLett.100.158101

  • Understanding Peace Through the World News

    Voukelatou, V., Miliou, I., Giannotti, F., & Pappalardo, L. (2022)

    EPJ Data Sciencedoi:10.1140/epjds/s13688-022-00315-z

  • Forecasting Trends in Food Security with Real Time Data

    Herteux, J., Räth, C., Martini, G., Baha, A., Koupparis, K., Lauzana, I., & Piovani, D. (2024)

    Communications Earth & Environmentdoi:10.1038/s43247-024-01698-9

  • On the Forecastability of Food Insecurity

    Foini, P., Tizzoni, M., Martini, G., Paolotti, D., & Omodei, E. (2023)

    Scientific Reportsdoi:10.1038/s41598-023-29700-y

  • Forecasting Transitions in the State of Food Security with Machine Learning Using Transferable Features

    Westerveld, J. J. L., van den Homberg, M. J. C., Nobre, G. G., van den Berg, D. L. J., Teklesadik, A. D., & Stuit, S. M. (2021)

    Science of the Total Environmentdoi:10.1016/j.scitotenv.2021.147366

  • Potential and Limitations of Machine Learning Modeling for Forecasting Acute Food Insecurity

    Machefer, M., Thomas, A.-C., Meroni, M., Veiga Lopez Pena, J. M., Ronco, M., Corbane, C., & Rembold, F. (2025)

    Global Food Securitydoi:10.1016/j.gfs.2025.100859

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