Rafaël Van Belle

According to our database, Rafaël Van Belle authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SHINE: A Scalable Heterogeneous Inductive Graph Neural Network for Large Imbalanced Datasets.

Rafaël Van Belle, Jochen De Weerdt

IEEE Trans. Knowl. Data Eng., September, 2024

2023

CATCHM: A novel network-based credit card fraud detection method using node representation learning.

Rafaël Van Belle, Bart Baesens, Jochen De Weerdt

Decis. Support Syst., 2023

2022

Inductive Graph Representation Learning for fraud detection.

Rafaël Van Belle, Charles Van Damme, Hendrik Tytgat, Jochen De Weerdt

Expert Syst. Appl., 2022

Defining Data Quality Issues in Process Mining with IoT Data.

Yannis Bertrand, Rafaël Van Belle, Jochen De Weerdt, Estefanía Serral

Proceedings of the Process Mining Workshops, 2022

2019

Representation Learning in Graphs for Credit Card Fraud Detection.

Rafaël Van Belle, Sandra Mitrovic, Jochen De Weerdt

Proceedings of the Mining Data for Financial Applications - 4th ECML PKDD Workshop, 2019