4 citations · 8 across the 3 of their papers we have counts for
4 papers
Learning from sanctioned government suppliers: A machine learning and network science approach to detecting fraud and corruption in Mexico
Martí Medina-Hernández, Janos Kertész, Mihály Fazekas
Detecting fraud and corruption in public procurement remains a major challenge for governments worldwide. Most research to-date builds on domain-knowledge-based corruption risk ind…
Multilayer network science: theory, methods, and applications
Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda +14
Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increa…
A Comparative Analysis of Wealth Index Predictions in Africa between three Multi-Source Inference Models
Márton Karsai, János Kertész, Lisette Espín-Noboa
Poverty map inference has become a critical focus of research, utilizing both traditional and modern techniques, ranging from regression models to convolutional neural networks app…
Robustness of Decentralised Learning to Nodes and Data Disruption
Luigi Palmieri, Chiara Boldrini, Lorenzo Valerio +3
In the vibrant landscape of AI research, decentralised learning is gaining momentum. Decentralised learning allows individual nodes to keep data locally where they are generated an…