DigiTax

Data mining for better fraud detection

Summary

This research objective focuses on data mining, which is quickly becoming a popular artificial intelligence technique used by tax administrations for better fraud detection. However, many challenges still exist. One of the main challenges is explaining the predicition made by complex algorithms. Within this research objective, we explore the opportunities of tackling this challenge of explainable AI by making use of counterfactual explanations. 

Research projects

Ongoing research projects

More information will be published soon


Completed doctoral research

Explainable Artificial Intelligence  

  • researcher Raphael Mazzine  
  • supervisor David Martens 
  • research is funded by the Flemish Government​
  • read more on this topic on the website of Antwerp Tax Academy
  • repository


Fraud detection with behavioural data

  • researcher  
  • supervisor prof. David Martens 
  • research is funded by the University of Antwerp
  • read more on this topic on the website of ​â¶Ä‹
  • ​ repository

Publications

2023​

  • Brughmans Dieter, Melis Lissa, Martens David, , ArXiv, 2023, 20 p.
  • Brughmans Dieter, Leyman Pieter, Martens David, , Data mining and knowledge discovery, 2023, p. 1-39.
  • Mazzine Barbosa de Oliveira Raphael, Sörensen Kenneth, Martens David, A, European journal of operational research, 2023, ), p. 1-17.
  • Mazzine Barbosa de Oliveira Raphael, Sofie Goethals, Brughmans Dieter, Martens David, , preprint under review for a conference.
  • Raphael Mazzine Barbosa de Oliveira, David Martens, , Applied Sciences 11, no. 16.

2022

  • Martens David, , Oxford University Press 2022, 272 p.
  • Goethals Sofie, Martens David, Calders Toon, , Research Square 2022, 31 p.
  • Vermeire Tom, Brughmans Dieter, Goethals Sofie, Mazzine Barbossa de Oliveira Raphael, Martens David, , Pattern Analysis and Applications 2022, 315-335 ​
  • Greene Travis, Martens David, Shmueli Galid, , Nature Machine Intelligence 2022, p. 323-330

2021

  • Brughmans Dieter en Martens David, NICE : , ArXiv 2021, 16 p. 
  • De Raedt Sylvie, Brughmans Dieter en Martens David: , Tijdschrift voor Fiscaal Recht, 2021, 607-612 â€‹â¶Ä‹
  • Vermeire Tom, Laugel Thibault, Renard Xavier, Martens David, Detyniecki Marcin, , ArXiv, 2021, 16 p.
  • Ramon Yanou, Vermeire Tom, Toubia Olivier, Martens David, Evgeniou Theodoros, , Arvix 2021, 18 p.
  • Mazzine Raphael, Martens David, , ArXiv 2021, 33 p. and Applied Sciences 2021, 28 p. 
  • Greene Travis, Martens David, Shmueli Ghalit, , ssrn, 2021, 1-15
  • Ramon Yanou, Martens David, Evgeniou Theodoros, Praet Stiene, , Machine Leaning, Dordrecht, 2021, 40 p.
  • Ramon Yanou, Farrokhnia R.A.,Matz Sandra C., Martens David, Explainable AI for psychological profiling from behavioral data : an application to big five personality predictions from financial transaction records,  ArXiv 2021, 24 p. 

2020

  • Vermeire, Tom and Martens, David, "Explainable Image Classification with Evidence Counterfactual", working paper April 16, 2020
  • ​Vanhoeyveld Jellis, Martens David, Peeters Bruno, "", in Applied soft computing, 86 (2020), 1-2°​â¶Ä‹
  • Ramon Yanou, Martens David, Provost Foster, Evgeniou Theodoros, , Advances in Data Analysis and Classification, 2020, 801-819

2019

  • Vanhoeyveld, Jellis, Martens, David, Peeters, Bruno, "", in Pattern analysis and applications, London - New york,  Springer, 2019, 1433-7541 (21 p.)
  •  Vanhoeyveld, Jellis, "", University of Antwerp, Faculty of Business and Economics, 2019, 281 p. (doctoral thesis)

Previous Research

The research output of DigiTax builds on previous research of its supervisors. Hereunder a selection of relevant publications related to the research opbjective described in this section.

2018

  • Vanhoeyveld, Jellis, Martens, David, "s", in Data mining and knowledge discovery, Boston, Mass., 2018, 32:1 (2018), p. 25-82
  • Vanhoeyveld, Jelllis, Martens, David, "", Research paper / University of Antwerp, Faculty of Business and Economics ; 2018-012, 59 p.

2016

  •  Van Hoeyveld, Jellis, Martens, David, Peeters, Bruno, "",  in Cahiers politiestudies / Centrum voor Politiestudies,  Gent, 2016, 39:2(2016), p. 167-211
  •  Martens, David, De Cnudde, Sofie, Moeyersoms, Julie, Praet, Stiene, Stankova, Marija, Tobback, Ellen, Vanhoeyveld, Jellis, "", in Bank- en financiewezen / Belgisch Financieel Forum. Studiecentrum voor het Financiewezen; Forum financier belge. Centre d'études financières, Brussel, 2016, p. 117-122
  •  Vanhoeyveld, Jellis, Martens, David, Peeters, Bruno, "", in Criminele organisaties en organisatiecriminaliteit, Serie Cahiers politiestudies / Centrum voor Politiestudies, Antwerpen, Maklu, 2016, p. 167-211