3 papers
stat.ME2025
Efficient and scalable clustering of survival curves
Nora M. Villanueva, Marta Sestelo, Luis Meira-Machado
Survival analysis encompasses a broad range of methods for analyzing time-to-event data, with one key objective being the comparison of survival curves across groups. Traditional a…
cs.CR2025
Cybersecurity threat detection based on a UEBA framework using Deep Autoencoders
Jose Fuentes, Ines Ortega-Fernandez, Nora M. Villanueva +1
User and Entity Behaviour Analytics (UEBA) is a broad branch of data analytics that attempts to build a normal behavioural profile in order to detect anomalous events. Among the te…
stat.ML2025
neuralGAM: An R Package for Fitting Generalized Additive Neural Networks
Ines Ortega-Fernandez, Marta Sestelo
Nowadays, Neural Networks are considered one of the most effective methods for various tasks such as anomaly detection, computer-aided disease detection, or natural language proces…