93 citations · 195 across the 11 of their papers we have counts for
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q-fin.RM2018
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting
Yaodong Yang, Alisa Kolesnikova, Stefan Lessmann +3
The paper examines the potential of deep learning to support decisions in financial risk management. We develop a deep learning model for predicting whether individual spread trade…
cs.CY2018
Robust identification of email tracking: A machine learning approach
Johannes Haupt, Benedict Bender, Benjamin Fabian +1
Email tracking allows email senders to collect fine-grained behavior and location data on email recipients, who are uniquely identifiable via their email address. Such tracking inv…