3 papers
cs.HC2026
The Balance between Nuance and Clarity: Decluttering Tabular Sequential Graphs to Counter Money Laundering
Salomé Esteves, Rita Costa, Louise Fallon +1
Money laundering is not only about moving illicit funds, but about hiding the money's origin and traces to complicate detection. Financial criminals resort to many methods to avoid…
cs.LG2025
Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks
João Palmeiro, Diogo Duarte, Rita Costa +1
AI models are increasingly used for data analysis and visualization, yet benchmarks rarely address scatterplot-specific tasks, limiting insight into performance. To address this ga…
cs.LG2024
"Show Me What's Wrong!": Combining Charts and Text to Guide Data Analysis
Beatriz Feliciano, Rita Costa, Jean Alves +3
Analyzing and finding anomalies in multi-dimensional datasets is a cumbersome but vital task across different domains. In the context of financial fraud detection, analysts must qu…