8 citations · 8 across the 2 of their papers we have counts for
3 papers
Focused Active Learning for Histopathological Image Classification
Arne Schmidt, Pablo Morales-Álvarez, Lee A. D. Cooper +4
Active Learning (AL) has the potential to solve a major problem of digital pathology: the efficient acquisition of labeled data for machine learning algorithms. However, existing A…
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection
F. M. Castro-Macías, P. Morales-Álvarez, Y. Wu +2
Multiple Instance Learning (MIL) is a weakly supervised paradigm that has been successfully applied to many different scientific areas and is particularly well suited to medical im…
Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection
Fernando Pérez-Bueno, Luz García, Gabriel Maciá-Fernández +1
Network anomaly detection is a very relevant research area nowadays, especially due to its multiple applications in the field of network security. The boost of new models based on…