Output

The High School to University Transition: Exploring the interplay of territory, socioeconomic factors, and gender dynamics

Priulla, A., Vittorietti, M., Genova, V.G. e Attanasio, M., PLOS ONE, 20(10), 2025

Detecting Semantic Relationships Among Datasets

Fosci, P. et al., In: De Tré, G., et al. Flexible Query Answering Systems. FQAS 2025. Lecture Notes in Computer Science, vol 16119, Springer, Cham, 2025

Distributed governance and value creation in decentralized autonomous organizations: evidence from a regression discontinuity design

Monaco, V. L., Momtaz, P., & Vismara, S. Economics Letters, 112233 (2025).

Latent Markov Time-Interaction Processes

Barone, R., Farcomeni, A. and Mezzetti, M., Journal of Computational and Graphical Statistics, 34(3), pp. 984–993, 2025

Pseudonomizzazione e anonimizzazione dei dati personali contenuti nelle decisioni giudiziarie

D. Foresta; Persona e Mercato; Fasc. 1 / 2024

Accesso alla contrattazione collettiva per i lavoratori autonomi, diritto della concorrenza e piattaforme digitali: verso un parziale superamento degli ostacoli anticoncorrenziali euro-unitari?

Battista, L., in Lunardon, F. e Menegatti, E. (a cura di), I nuovi confini del lavoro: la trasformazione digitale, Bologna: Alma Mater Studiorum – Università di Bologna, vol. 3, pp. 17–34, 2024

Inference for the quantile ratio inequality index in the context of survey data

Scarpa, S., Ferrante, M.R. e Sperlich, S., Journal of Survey Statistics and Methodology, 2025

SWI (Soft Web Intelligence) Powered by User-Defined Fuzzy Operators and Aggregators

Fosci, P., Psaila, G., in: Marchiori, M., García Peñalvo, F. (eds) Web Information Systems and Technologies, WEBIST 2023, Lecture Notes in Business Information Processing, vol 543, Springer, Cham, 2025

Italian investments for soil defence: retrieving and visualizing data by the PublicWorksFinanceIT R Package

Lorena Ricciotti, Alessio Pollice. Annals of Operations Research, Springer, 2025.

Weather- and climate-driven power supply and demand time series for power and energy system analysis

Enrico Antonini, Alice Di Bella, Iacopo Savelli, Laurent Drouet, Massimo Tavoni; Scientific Data; 11, Article number: 1324 (2024)

Mid-quantile regression for discrete panel data

Russo, A., Farcomeni, A. and Geraci, M., Journal of Statistical Computation and Simulation, 94(12), pp. 2754–2771, 2024

A unified view of multi-grade fuzzy-set models in J-CO-QL+

Fosci, P., Psaila, G., Neurocomputing, Vol. 565 issue C (2024)

Public or Private? An Efficiency Analysis of Urban Waste Management in Italian Municipalities

Massimo Del Gatto, Sandra Carballar Leal, Marialisa Mazzocchitti. “G.d’Annunzio” University of Chieti-Pescara

An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR

Crescenzi, F. et al., Journal of Applied Statistics, 52(15), pp. 2958–2971, 2025

Analisi quantitativa dei dati del servizio Copernicus per la valutazione e la gestione degli incendi boschivi in Italia nella stagione estiva 2023

Alessio Tafuni, Crescenza Calculli, Alessio Pollice. Metodi e Analisi Statistiche, 2024.

Student mobility in Southern Italy: An empirical analysis of preferential patterns

Genova, V.G., Ruiu, G., Attanasio, M., Ermacora, M., Breschi, M. GENUS, 80 (1), 2024.

PARSEG: a computationally efficient approach for statistical validation of botanical seeds’ images

Luca Frigau, Claudio Conversano. Scientific Reports. 14, 2024.

Soft Querying JSON Datasets with Personalized Preferences and Aggregations

Fosci, P., Psaila, G., WEBIST, (2024), pp. 153–164

PODIUWM: Production Of Data and Indicators for Urban Waste Management benchmarking

Massimo Del Gatto, Sandra Carballar Leal, Marialisa Mazzocchitti, Agnese Rapposelli, Alessandro Sarra, Edilio Valentini. “G.d’Annunzio” University of Chieti-Pescara

On the estimation of fuzzy poverty indices using official survey data. Variance estimation, robustness and computational considerations

Crescenzi, F. and Mori, L., Journal of Statistical Computation and Simulation, 95(8), pp. 1611–1638, 2025

Stairway to heaven: An emotional journey in Divina Commedia with threshold-based Naïve Bayes classifier

Romano, M. and Conversano, C., Machine Learning with Applications, 19, 2025

Explaining Central Government’s Tax Revenue Categories through the Bradley-Terry Regression Trunk Model

Claudio Conversano. Statistics and Public Policy, 11, 2024.

Bayesian Generation of Synthetic Data

Fosci, P., Nieves, J., Psaila, G., Bringas, P.G., SOCO, Vol. 888 (2024), pp. 181–193