Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives

Y Himeur, B Rimal, A Tiwary, A Amira - Information Fusion, 2022‏ - Elsevier
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …

Exploring quality dimensions in trustworthy Machine Learning in the context of official statistics: model explainability and uncertainty quantification

S Molladavoudi, W Yung - AStA Wirtschafts-und Sozialstatistisches Archiv, 2023‏ - Springer
Despite the fact that National Statistical Offices (NSOs) continue to embrace and adopt
Machine Learning (ML) methods and tools in a variety of areas of their operations, including …

Multilayer perceptron models for the estimation of the attained level of education in the Italian Permanent Census

F De Fausti, M Di Zio, R Filippini… - Statistical Journal of …, 2022‏ - journals.sagepub.com
In the Italian Permanent Census, estimates of the attained level of education are derived by
the integration of administrative data, 2011 census data, and sample survey data. The result …

[PDF][PDF] A study of MLP for the imputation of the “Attained Level of Education” in Base Register of Individuals

F De Fausti, M Di Zio, R Filippini, S Toti… - WORKSHOP ON …, 2023‏ - istat.it
Abstract The Attained Level of Education (ALE) of the Permanent Italian Census relies on a
high amount of administrative information. Nevertheless, it is needed to resort to sample …

[PDF][PDF] Methodologies for big data at Istat: state of the art and open challenges

M Bruno, M Scannapieco - WORKSHOP ON METHODOLOGIES FOR …, 2023‏ - istat.it
In line with the path taken by the European Statistical System, Istat is investing on innovative
methods to harness big data sources and to use them to produce new and enriched Official …