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20122025
most citedA Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis

199 citations

Showing 2016Show all

6 papers · 1 filter

physics.geo-ph2016★ 28 cited

Long-range properties and data validity for hydrogeological time series: the case of the Paglia river

Marcel Ausloos, Roy Cerqueti, Claudio Lupi

This paper explores a large collection of about 377,000 observations, spanning more than 20 years with a frequency of 30 minutes, of the streamflow of the Paglia river, in central…

physics.data-an2016★ 47 cited

A universal rank-size law

Marcel Ausloos, Roy Cerqueti

A mere hyperbolic law, like the Zipf's law power function, is often inadequate to describe rank-size relationships. An alternative theoretical distribution is proposed based on the…

q-fin.GN2016★ 34 cited

-generalized models of income and wealth distributions: A survey

F. Clementi, M. Gallegati, G. Kaniadakis +1

The paper provides a survey of results related to the "-generalized distribution", a statistical model for the size distribution of income and wealth. Topics include, among othe…

q-fin.GN2016

New economic windows on income and wealth: The k-generalized family of distributions

F. Clementi, M. Gallegati

Over the last decades, the distribution of income and wealth has been deteriorating in many countries, leading to increased inequalities within and between societies. This tendency…

q-fin.ST2016★ 24 cited

Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benford's Law

Marcel Ausloos, Rosella Castellano, Roy Cerqueti

In this paper, we search whether the Benford's law is applicable to monitor daily changes in sovereign Credit Default Swaps (CDS) quotes, which are acknowledged to be complex syste…

q-fin.CP2016★ 6 cited

Studies on Regional Wealth Inequalities: the case of Italy

Marcel Ausloos, Roy Cerqueti

The paper contains a short review of techniques examining regional wealth inequalities based on recently published research work but is also presenting unpublished features. The da…