Use of industry 4.0 technologies to reduce and valorize seafood waste and by-products: A narrative review on current knowledge

A Hassoun, J Cropotova, H Trollman, S Jagtap… - Current research in food …, 2023 - Elsevier
Fish and other seafood products represent a valuable source of many nutrients and
micronutrients for the human diet and contribute significantly to global food security …

Detecting money laundering transactions with machine learning

M Jullum, A Løland, RB Huseby, G Ånonsen… - Journal of Money …, 2020 - emerald.com
Purpose The purpose of this paper is to develop, describe and validate a machine learning
model for prioritising which financial transactions should be manually investigated for …

Semiautomatic robust regression clustering of international trade data

F Torti, M Riani, G Morelli - Statistical Methods & Applications, 2021 - Springer
The purpose of this paper is to show in regression clustering how to choose the most
relevant solutions, analyze their stability, and provide information about best combinations of …

The use of predictive modeling to identify relevant features for suspicious activity reporting

E Hayble-Gomes - Journal of Money Laundering Control, 2022 - emerald.com
Purpose The purpose of this study is to explore and use artificial intelligence (AI) techniques
for identifying the relevant attributes necessary to file a suspicious activity report (SAR) using …

On characterizations and tests of Benford's law

L Barabesi, A Cerasa, A Cerioli… - Journal of the American …, 2022 - Taylor & Francis
Benford's law defines a probability distribution for patterns of significant digits in real
numbers. When the law is expected to hold for genuine observations, deviation from it can …

Assessing the maturity of the current global system for combating financial and cyber fraud

O Kuzmenko, H Yarovenko, L Perkhun - Statistics in Transition new …, 2023 - ceeol.com
The purpose of the article is to assess the maturity of systems for counteracting financial and
cyber fraud with the view of their future integration at global-level. The calculations made by …

Forum on Benford's law and statistical methods for the detection of frauds

L Barabesi, A Cerioli, D Perrotta - Statistical Methods & Applications, 2021 - Springer
This forum intends stimulating cross-domain research in Benford's law theory and robust
statistics. Our point of view is introduced in Sect. 2, with the intention to show the rationale …

Penalized logistic regression with prior information for microarray gene expression classification

M Genç - The International Journal of Biostatistics, 2024 - degruyter.com
Cancer classification and gene selection are important applications in DNA microarray gene
expression data analysis. Since DNA microarray data suffers from the high-dimensionality …

[PDF][PDF] The robust estimation of monthly prices of goods traded by the European Union

D Perrotta, A Cerasa, F Torti, M Riani - 2020 - core.ac.uk
The general problem addressed in this document is the estimation of “fair” import prices from
international trade data. The work is in support to the determination of the customs value at …

Auditor Inability to use Professional Skepticism

TD Schuster - 2022 - digitalcommons.liberty.edu
This qualitative study sought to understand challenges to Louisville, Kentucky Certified
Public Accounting firms and the development of auditor professional skepticism. The …