Lucio Barabesi
Biographic Data
| ID | 8920742 |
|---|---|
| NAME | Lucio Barabesi |
| GIVEN NAMES | Lucio |
| FAMILY NAME | Barabesi |
| SIGNATURE | BARABESI L |
| AFFILIATIONS | University of Siena |
| ORCID | 0000-0002-7210-4541 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Fine-grained classification of journal articles based on multiple layers of information through similarity network fusion
Intellectual and social similarity among scholarly journals
This paper explores, by using suitable quantitative techniques, to what extent the intellectual proximity among scholarly journals is also proximity in terms of social communities gathered around the journals. Three fields are considered: statistics, economics and information and library sciences. Co-citation networks represent intellectual proximity among journals. The academic communities around the journals are represented by considering the n…
Goodness-of-Fit Testing for the Newcomb-Benford Law With Application to the Detection of Customs Fraud
The Newcomb-Benford law for digit sequences has recently attracted interest in antifraud analysis. However, most of its applications rely either on diagnostic checks of the data, or on informal decision rules. We suggest a new way of testing the Newcomb-Benford law that turns out to be particularly attractive for the detection of frauds in customs data collected from international trade. Our approach has two major advantages. The first one is tha…
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Goodness-of-Fit Testing for the Newcomb-Benford Law With Application to the Detection of Customs Fraud
The Newcomb-Benford law for digit sequences has recently attracted interest in antifraud analysis. However, most of its applications rely either on diagnostic checks of the data, or on informal decision rules. We suggest a new way of testing the Newcomb-Benford law that turns out to be particularly attractive for the detection of frauds in customs data collected from international trade. Our approach has two major advantages. The first one is tha…
Intellectual and social similarity among scholarly journals
This paper explores, by using suitable quantitative techniques, to what extent the intellectual proximity among scholarly journals is also proximity in terms of social communities gathered around the journals. Three fields are considered: statistics, economics and information and library sciences. Co-citation networks represent intellectual proximity among journals. The academic communities around the journals are represented by considering the n…
Fine-grained classification of journal articles based on multiple layers of information through similarity network fusion
Computer Science (3 works) · Mathematics (3 works) · Artificial Intelligence (2 works) · Complex Network Analysis Techniques (2 works) · Statistics (2 works) · Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Benford's law (1 work) · Benford’s Law and Fraud Detection (1 work) · Citation (1 work)