Output

Weighted Logistic Oblique Tree for Regression

Carta, A. and Frigau, L., in D’Ambrosio, A., de Rooij, M., De Roover, K., Iorio, C. and La Rocca, M. (eds.) Supervised and Unsupervised Statistical Data Analysis. CLADAG-VOC 2025. Studies in Classification, Data Analysis, and Knowledge Organization. Cham: Springer, pp. 70–82, 2025

Open Repository of territorial data and indicators

This report was coordinated and written by the University of Bari “Aldo Moro”.

An integrated georeferenced dataset of public investments for soil defence in Italy

Ricciotti L., Pollice A., Data in Brief Elsevier 2024, 57, 110909

Valutazione dei divari educativi tra le regioni italiane mediante la stima per piccole aree

Diego Battagliese, Alessio Pollice, Metodi e analisi statistiche 2023, Annual, 175-190

Feature-Selective Oblique Trees for Regression: Application to STEM Graduate Wage Prediction in Italy

Carta, A. and Frigau, L., in Proceedings of the 7th International Conference on Statistics: Theory and Applications (ICSTA 2025), Paris, France, 17–19 August, Paper n. 149, 2025

Multilevel Bivariate Areal Modelling for School Data an application with R-INLA

Leonardo Cefalo, Virgilio Gómez-Rubio. Methodological and Applied Statistics and Demography, SIS 2024 Short papers Vol III. Springer, Cham.

Assessing urbanization dynamics using a pixel-based nighttime light indicator

Pambuku A., Elia M., Gardelli A., Giannico V., Sanesi G., Bergantino A. S., Intini M., Lafortezza R., Ecological Indicators, Elsevier 2024, 166, 112486

Dashboard of geo-localised and real time Territorial Indicators

This report was coordinated and written by the University of Bari Aldo Moro and Politecnico di Milano research groups.

Tree oblique for regression with weighted support vector machine

Carta, A., Frigau, L.,Computational Statistics, 40, pp. 5257–5291, 2025

Bayesian Multilevel Bivariate Spatial Modelling of Italian School Data

Leonardo Cefalo, Alessio Pollice, Virgilio Gòmez-Rubio. ArXiv, 2024.

Knowledge Center for Territorial Data (KCTD)

Angela Stefania Bergantino (Coordinator and Spoke 7 leader); Giuseppe Diliddo, Stefano Galavotti, Mario Intini, Francesco Porcelli, (Grins critical mass); Alessandro Buongiorno, Giulio Fusco (Grins researchers); Marco Fortunato (Grins Ph.D.); Antonia Abbasciano, Alessandro Gardelli (UNIBA Postdoctoral fellows)

Local public transport efficiency analysis: empirical evidence from Italian provinces

Bergantino, A.S., Intini, M., Porcelli, F. and Tangari, L., Case Studies on Transport Policy, 21, 2025

A set of multidimensional indicators to assess the resilience and attractiveness of Italian provinces and municipalities (2010-2022 panel data)

Amaddeo E., Arena M., Bergantino A. S., Bonaccorsi G., Buongiorno A., Clemente A., Flori A., Intini M., Scotti F., Urbano V. M., Vitagliano M.; Data in Brief; Elsevier, Volume 57, December 2024, 111042

Estimation of Daily Ground Level Air Pollution in Italian Municipalities with Machine Learning Models Using Sentinel-5P and ERA5 Data

Fania A., Monaco A., Pantaleo E., Maggipinto T., Bellantuono L., Cilli R., Lacalamita A., La Rocca M., Tangaro S., Amoroso N., Bellotti R., Remote Sensing 2024, 16, 1206