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Publications

Scientific Articles

  • Aria, M., Gnasso, A., Rivieccio, R., Siciliano, R. (2025). Predicting depression in Italy using Random Forest through the E2Tree methodology. [forthcoming]

  • Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., Spano, M. (2024). Comparative science mapping: a novel conceptual structure analysis with metadata. Scientometrics, 129, 7055–7081. https://doi.org/10.1007/s11192-024-05161-6

  • Beh, E.J., Lombardo, R. (2024) Correspondence Analysis Using the Cressie–Read Family of Divergence Statistics. International Statistical Review, 92(1), 17-42. https://doi.org/10.1111/insr.12541

  • Lombardo, R., Beh E. J., Prattichizzo, F., Lucisano, G., Nicolucci, A., Eliasson, B., Carlsen, H. K., La Grotta, R., Pellegrini, V., Ceriello, A. (2024) Testing and Visualization of Associations in Three-Way Contingency Tables: A Study of the Gender Gap in Patients with Type 1 Diabetes and Cardiovascular Complications. Mathematics, 12 (14), 2186. https://doi.org/10.3390/math12142186

  • Musella, M., Camminatiello, I., Izzo, F. (2024). Caritas’s Work for the Goals of Agenda 2030: A Study on the Services Provided in Campania. Mathematics, 12 (15), 2301. https://doi.org/10.3390/math12152301

  • Takane, Y., Beh, E.J., Lombardo, R. (2024) A theory of contrasts for modified Freeman–Tukey statistics and its applications to Tukey’s post hoc tests for contingency tables. Computational Statistics, 40, 1423–1446. https://doi.org/10.1007/s00180-024-01537-7.

  • Wang, T., Beh, E.J., Lombardo, R., Renner, W. I., (2024). Profile Transformations for Reciprocal Averaging and Singular Value Decomposition. Computational Statistics, 40, 1217–1251.https://doi.org/10.1007/s00180-024-01517-x

Proceedings Papers

  • Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., Spano, M. (2025). TALL: A New Shiny App for Text Analysis. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography III. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-64431-3_11

  • Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., Spano, M. (2024). Breaking Barriers with TALL: A Text Analysis Shiny App for ALL. In A. Dister, D. Longrée (eds.), Mots complets, textes déchiffrés (JADT24). Presses Universitaires de Louvain, Vol. 1, pp. 39–48. ISBN: 978-2-39061-471-5

  • Belfiore, M., Spano, M., Cuccurullo, C., Giordano, W. (2024). Beyond Text: Unveiling Corporate Communication Strategies Through Textual Analysis of CEO Letters. In A. Dister, D. Longrée (eds.), Mots complets, textes déchiffrés (JADT24). Presses Universitaires de Louvain, Vol. 1, pp. 69–78. ISBN: 978-2-39061-471-5

  • Camminatiello, I., Iacono, M.P., Lombardo, R. (2025). A Model for the Evaluation of the Italian University System. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography I. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-64346-0_26

  • D’Aniello, L., Robinson-Garcia, N., Aria, M., & Cuccurullo, C. (2024). Decoding Knowledge Claims: The Evaluation of Scientific Publication Contributions through Semantic Analysis. arXiv preprint arXiv:2407.18646. Presented at 28th International Conference on Science, Technology and Innovation Indicators – STI2024, Berlin, 18–20 September 2024.

  • D’Aniello, L., Aria, M., Cuccurullo, C., Misuraca, M., Spano, M. (2024). Extracting knowledge from scientific literature with an integrated Text Summarization approach. In A. Dister, D. Longrée (eds.), Mots complets, textes déchiffrés (JADT24). Presses Universitaires de Louvain, Vol. 1, pp. 239–248. ISBN: 978-2-39061-471-5

  • Gnasso, A., Aria, M., Iorio, C., Fokkema, M. (2025). Explainable Decision Tree Ensembles. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography IV. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-64447-4_21

  • Iorio, C., Gnasso, A., & Aria, M. (2024). Inside the black-box models through Explainable Decision Tree Ensembles. COMPSTAT 2024 – 26th International Conference on Computational Statistics, Book of Abstracts.

  • Lombardo, R., Durand, J. F., Camminatiello, I. (2025) Spline identity and functional partial least-squares regression for analysing Italian poverty. In: Pollice A., Mariani P. (eds) Methodological and Applied Statistics and Demography II. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-64350-7_47

  • Sacco, D., Aria, M., Moccia, S. (2024). Decoding disinformation: A Comprehensive Analysis of Fake News. In A. Dister, D. Longrée (eds.), Mots complets, textes déchiffrés (JADT24). Presses Universitaires de Louvain, Vol. 2, pp. 823–832. ISBN: 978-2-39061-473-9