Silvia Ronchiadin

According to our database, Silvia Ronchiadin authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

Weirdnodes: centrality based anomaly detection on temporal networks for the anti-financial crime domain.

Salvatore Vilella, Arthur Capozzi, Marco Fornasiero, Dario Moncalvo, Valeria Ricci, Silvia Ronchiadin, Giancarlo Ruffo

Appl. Netw. Sci., December, 2025

FlowSeries: flow analysis on financial networks.

Arthur Capozzi, Salvatore Vilella, Dario Moncalvo, Marco Fornasiero, Valeria Ricci, Silvia Ronchiadin, Giancarlo Ruffo

Appl. Netw. Sci., December, 2025

FlowSeries: Anomaly Detection in Financial Transaction Flows.

Arthur Capozzi, Salvatore Vilella, Dario Moncalvo, Marco Fornasiero, Valeria Ricci, Silvia Ronchiadin, Giancarlo Ruffo

CoRR, March, 2025

MAD: Multicriteria Anomaly Detection of Suspicious Financial Accounts from Billions of Cash Transactions.

Giordano Paoletti, Flavio Giobergia, Danilo Giordano, Luca Cagliero, Silvia Ronchiadin, Dario Moncalvo, Marco Mellia, Elena Baralis

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2023

Anomaly detection in cross-country money transfer temporal networks.

Salvatore Vilella, Arthur Thomas Edward Capozzi Lupi, Marco Fornasiero, Dario Moncalvo, Valeria Ricci, Silvia Ronchiadin, Giancarlo Ruffo

CoRR, 2023

Exploiting graph metrics to detect anomalies in cross-country money transfer temporal networks.

Salvatore Vilella, Arthur Thomas Edward Capozzi Lupi, Giancarlo Ruffo, Marco Fornasiero, Dario Moncalvo, Valeria Ricci, Silvia Ronchiadin

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Legal Entity Disambiguation for Financial Crime Detection.

Jacopo Fior, Thomas Favale, Luca Cagliero, Danilo Giordano, Marco Mellia, Elena Baralis, Silvia Ronchiadin, Paolo Baracco, Dario Moncalvo

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Smurf-Based Anti-money Laundering in Time-Evolving Transaction Networks.

Michele Starnini, Charalampos E. Tsourakakis, Maryam Zamanipour, André Panisson, Walter Allasia, Marco Fornasiero, Laura Li Puma, Valeria Ricci, Silvia Ronchiadin, Angela Ugrinoska, Marco Varetto, Dario Moncalvo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company.

Carlo Abrate, Alessio Angius, Gianmarco De Francisci Morales, Stefano Cozzini, Francesca Iadanza, Laura Li Puma, Simone Pavanelli, Alan Perotti, Stefano Pignataro, Silvia Ronchiadin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020

Structural inequalities emerging from a large wire transfers network.

Alfonso Semeraro, Marcella Tambuscio, Silvia Ronchiadin, Laura Li Puma, Giancarlo Ruffo

Appl. Netw. Sci., 2020