3 papers
cs.LG2025
How Data Quality Affects Machine Learning Models for Credit Risk Assessment
Andrea Maurino
Machine Learning (ML) models are being increasingly employed for credit risk evaluation, with their effectiveness largely hinging on the quality of the input data. In this paper we…
cs.LG2021
Listening to the city, attentively: A Spatio-Temporal Attention Boosted Autoencoder for the Short-Term Flow Prediction Problem
Stefano Fiorini, Michele Ciavotta, Andrea Maurino
In recent years, studying and predicting alternative mobility (e.g., sharing services) patterns in urban environments has become increasingly important as accurate and timely infor…
cs.DB2015
Robust Group Linkage
Pei Li, Xin Luna Dong, Songtao Guo +2
We study the problem of group linkage: linking records that refer to entities in the same group. Applications for group linkage include finding businesses in the same chain, findin…