The Need for Knowledge Extraction: Understanding Harmful Gambling Behavior with Neural Networks. - Chris Percy; Artur S. d'Avila Garcez; Simo Dragicevic; Manoel V. M. França; Greg G. Slabaugh; Tillman Weyde (ECAI, 2016)

Accuracy and Interpretability Trade-Offs in Machine Learning Applied to Safer Gambling. - Sanjoy Sarkar; Tillman Weyde; Artur S. d'Avila Garcez; Gregory G. Slabaugh; Simo Dragicevic; Chris Percy (CoCo@NIPS, 2016)

Lessons Learned from Problem Gambling Classification: Indirect Discrimination and Algorithmic Fairness. - Christian Percy; Artur S. d'Avila Garcez; Simo Dragicevic; Sanjoy Sarkar (AI4SG@AAAI Fall Symposium, 2020)

Semi-supervised GANs for Fraud Detection*. - Charitos Charitou; Artur S. d'Avila Garcez; Simo Dragicevic (IJCNN, 2020)

Accountability in AI: From principles to industry-specific accreditation. - Chris Percy; Simo Dragicevic; Sanjoy Sarkar; Artur S. d'Avila Garcez (AI Commun., 2021)

Synthetic Data Generation for Fraud Detection using GANs. - Charitos Charitou; Simo Dragicevic; Artur S. d'Avila Garcez (CoRR, 2021)