King's College London

• A new set of cluster driven composite development indicators

  Verma, A., Angelini, O. & Di Matteo, T., 13 Apr 2020, In : EPJ Data Science. 9, 8

  Research output: Contribution to journal › Article

• A new multilayer network construction via Tensor learning

  Di Matteo, T., 8 Apr 2020, Computational Science – ICCS 2020 - 20th International Conference, Proceedings. Krzhizhanovskaya, V. V., Závodszky, G., Lees, M. H., Sloot, P. M. A., Sloot, P. M. A., Sloot, P. M. A., Dongarra, J. J., Brissos, S. & Teixeira, J. (eds.). Springer, p. 148-154 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12142 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Econophysics and sociophysics: their milestones & challenges

  Kutner, R., Ausloos, M., Grech, D., Di Matteo, T., Schinckus, C. & Stanley, H. E., 15 Feb 2019, In : PHYSICA A. 516, p. 240-253 14 p.

  Research output: Contribution to journal › Editorial

• A memory-based method to select the number of relevant components in Principal Component Analysis

  Verma, A., Vivo, P. & Di Matteo, T., 2019, In : Journal of Statistical Mechanics (JSTAT).

  Research output: Contribution to journal › Article

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