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pierpaolo.durso@uniroma1.it
Pierpaolo D'Urso
Professore Ordinario
Struttura:
DIPARTIMENTO DI SCIENZE SOCIALI ED ECONOMICHE
E-mail:
pierpaolo.durso@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Modeling Local BES Indicators by Copula-Based Bayesian Networks
SOCIAL INDICATORS RESEARCH
2021
Spatio-temporal Object-Oriented Bayesian Network modelling of the COVID-19 Italian outbreak data
SPATIAL STATISTICS
2021
A Three-Way Approach for Defining Competitiveness Indexes of the European Regions (NUTS-2)
SOCIAL INDICATORS RESEARCH
2021
A Tourist Segmentation Based on Motivation, Satisfaction and Prior Knowledge with a Socio-Economic Profiling: A Clustering Approach with Mixed Information
SOCIAL INDICATORS RESEARCH
2021
Cophenetic-based fuzzy clustering of time series by linear dependency
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
2021
A fuzzy penalized regression model with variable selection
EXPERT SYSTEMS WITH APPLICATIONS
2021
A robust hierarchical clustering for georeferenced data
SPATIAL STATISTICS
2020
Bayesian Networks Model Averaging for Bes Indicators
SOCIAL INDICATORS RESEARCH
2020
Well‑Being in the Italian Regions Over Time
SOCIAL INDICATORS RESEARCH
2020
Multiple breaks detection in financial interval-valued time series
EXPERT SYSTEMS WITH APPLICATIONS
2020
A centocinquant’anni da Roma capitale. Costruire il futuro della Città eterna
2020
Cepstral-based clustering of financial time series
EXPERT SYSTEMS WITH APPLICATIONS
2020
Satisfaction and Tourism Expenditure Behaviour
SOCIAL INDICATORS RESEARCH
2020
Atheoretical Regression Trees for classifying risky financial institutions
ANNALS OF OPERATIONS RESEARCH
2019
Trimmed fuzzy clustering of financial time series based on dynamic time warping
ANNALS OF OPERATIONS RESEARCH
2019
Smoothed self-organizing map for robust clustering
INFORMATION SCIENCES
2019
Fuzzy clustering of mixed data
INFORMATION SCIENCES
2019
Cross Sectional and Longitudinal Fuzzy Clustering of the NUTS and Positioning of the Italian Regions with Respect to the Regional Competitiveness Index (RCI) Indicators with Contiguity Constraints
SOCIAL INDICATORS RESEARCH
2019
Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging
FUZZY SETS AND SYSTEMS
2019
Fuzzy clustering with spatial–temporal information
SPATIAL STATISTICS
2019
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Progetti di Ricerca
Fuzzy Clustering: From Theory to Practice
Robust fuzzy clustering of spatial time series with social economic applications.
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