Published:
The code implements a Graph Convolutional Network (GCN) model to classify cybercriminal and non-cybercriminal addresses on the Ethereum blockchain, using ATGraph technology. Our approach uses several on-chain input features for classification. It builds on Hornuf, Momtaz, Nam, and Ye (2024) and is designed to perform well in samples of limited size. Read more
Published:
The code implements a machine-learning approach to construct ESG ratings for startups from text data (e.g., whitepapers, pitch decks, blog posts, Tweets). Our approach is also available via a web app → no ML/Python skills required (simply copy&paste text). Read more
Published:
This is an R script that I used in my paper CEO Emotions and Firm Valuation in Initial Coin Offerings: An Artificial Emotional Intelligence Approach which computes the seven basic Ekman (1999) emotions from facial muscle contraction-relaxation patterns based on Microsoft’s Face API. Read more