Pedro Fidalgo

According to our database, Pedro Fidalgo authored at least 6 papers between 2022 and 2023.

Collaborative distances:

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

2023

Piracy detection in online soccer streaming with video content inspection: an application to the Portuguese market.

Diogo Pontes, Claudino Costa, Ricardo Gomes Faria, Pedro Fidalgo, José Henrique Brito

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs.

Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs.

Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A federated machine learning approach to detect international revenue share fraud on the 5G edge.

Luís Ferreira, Leopoldo Silva, Diana Pinho, Francisco Morais, Carlos Manuel Martins, Pedro Miguel Pires, Pedro Fidalgo, Helena Rodrigues, Paulo Cortez, André Luiz Pilastri

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Star-Bridge: a topological multidimensional subgraph analysis to detect fraudulent nodes and rings in telecom networks.

Pedro Fidalgo, Rui J. Lopes, Christos Faloutsos

Proceedings of the IEEE International Conference on Big Data, 2022

TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs.

Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos

Proceedings of the IEEE International Conference on Big Data, 2022