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Mihály Fazekas

Showing results (1-10 of 5) with videos related to

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Scientific Reports|February 7, 2024
Collusion risk in corporate networksIsabela Villamil, János Kertész, Mihály Fazekas
Scientific Reports|May 18, 2026
Learning from sanctioned government suppliers: a machine learning and network science approach to detecting fraud and corruption in MexicoMartí Medina-Hernández, János Kertész, Mihály Fazekas
Data in Brief|April 25, 2022
Development aid contracts database: World Bank, Inter-American Development Bank, and EuropeAidMihály Fazekas, Aly Abdou, Yuliia Kazmina, et al.
BMC Public Health|July 15, 2024
Predicting pharmaceutical prices. Advances based on purchase-level data and machine learningMihály Fazekas, Zdravko Veljanov, Alexandre Borges de Oliveira
Data in Brief|May 3, 2024
Global Contract-level Public Procurement DatasetMihály Fazekas, Bence Tóth, Aly Abdou, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Scientific Reports|February 7, 2024
Collusion risk in corporate networksIsabela Villamil, János Kertész, Mihály Fazekas
Scientific Reports|May 18, 2026
Learning from sanctioned government suppliers: a machine learning and network science approach to detecting fraud and corruption in MexicoMartí Medina-Hernández, János Kertész, Mihály Fazekas
Data in Brief|April 25, 2022
Development aid contracts database: World Bank, Inter-American Development Bank, and EuropeAidMihály Fazekas, Aly Abdou, Yuliia Kazmina, et al.
BMC Public Health|July 15, 2024
Predicting pharmaceutical prices. Advances based on purchase-level data and machine learningMihály Fazekas, Zdravko Veljanov, Alexandre Borges de Oliveira
Data in Brief|May 3, 2024
Global Contract-level Public Procurement DatasetMihály Fazekas, Bence Tóth, Aly Abdou, et al.
Pageof 1