A Visualized Malware Detection Framework with CNN and Conditional GAN. - Fang Wang 035; Hussam M. N. Al Hamadi; Ernesto Damiani (IEEE Big Data, 2022)

Semi-strong Efficient Market of Bitcoin and Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models. - Florence Wong; Marko Gacesa (CoRR, 2024)

Leveraging Duration Pseudo-embeddings in Multilevel LSTM and GCN Hypermodels for Outcome-Oriented PPM. - Fang Wang 035; Paolo Ceravolo; Ernesto Damiani (Business Process Management Workshops - BPM 2025 International Workshops, Seville, Spain, August 31-September 5, 2025, Revised Selected Papers, 2025)

Comprehensive Attribute Encoding and Dynamic LSTM HyperModels for Outcome Oriented Predictive Business Process Monitoring. - Fang Wang 035; Paolo Ceravolo; Ernesto Damiani (CoRR, 2025)

HGCN(O): A Self-Tuning GCN HyperModel Toolkit for Outcome Prediction in Event-Sequence Data. - Fang Wang 035; Paolo Ceravolo; Ernesto Damiani (CoRR, 2025)

Auto-ML Graph Neural Network Hypermodels for Outcome Prediction in Event-Sequence Data. - Fang Wang 035; Lance Kosca; Adrienne Kosca; Marko Gacesa; Ernesto Damiani (CoRR, 2025)

Time-aware and transition-semantic graph neural networks for interpretable predictive business process monitoring. - Fang Wang 035; Ernesto Damiani (Expert Syst. Appl., 2026)