A Comparative Study of Representation Learning Techniques for Dynamic Networks. - Carlos Ortega Vázquez; Sandra Mitrovic; Jochen De Weerdt; Seppe vanden Broucke (WorldCIST (3), 2020)

Neural Machine Translation for Conditional Generation of Novel Procedures. - Joppe Geluykens; Sandra Mitrovic; Carlos Ortega Vázquez; Teodoro Laino; Alain C. Vaucher; Jochen De Weerdt (HICSS, 2021)

Evaluation of Joint Modeling Techniques for Node Embedding and Community Detection on Graphs. - Simon Hiel; Lore Nicolaers; Carlos Ortega Vázquez; Sandra Mitrovic; Bart Baesens; Jochen De Weerdt (ASONAM, 2022)

Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. - Jari Peeperkorn; Carlos Ortega Vázquez; Alexander Stevens; Johannes De Smedt; Seppe vanden Broucke; Jochen De Weerdt (ICPM Workshops, 2022)

The Hidden Cost of Fraud: An Instance-Dependent Cost-Sensitive Approach for Positive and Unlabeled Learning. - Carlos Ortega Vázquez; Jochen De Weerdt; Seppe vanden Broucke (LIDTA, 2022)

A two-step anomaly detection based method for PU classification in imbalanced data sets. - Carlos Ortega Vázquez; Seppe vanden Broucke; Jochen De Weerdt (Data Min. Knowl. Discov., 2023)

Hellinger distance decision trees for PU learning in imbalanced data sets. - Carlos Ortega Vázquez; Seppe vanden Broucke; Jochen De Weerdt (Mach. Learn., 2024)