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researcher

Jaime D. Acevedo-Viloria

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedRelational Graph Neural Networks for Fraud Detection in a Super-App environment

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2021

Feature-Level Fusion of Super-App and Telecommunication Alternative Data Sources for Credit Card Fraud Detection

Jaime D. Acevedo-Viloria, Sebastián Soriano Pérez, Jesus Solano +3

Identity theft is a major problem for credit lenders when there's not enough data to corroborate a customer's identity. Among super-apps large digital platforms that encompass many…

cs.LG2021★ 2 cited

Relational Graph Neural Networks for Fraud Detection in a Super-App environment

Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina +4

Large digital platforms create environments where different types of user interactions are captured, these relationships offer a novel source of information for fraud detection pro…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.