Learning to rank anomalies: scalar performance criteria and maximization of rank statistics
M Limnios, N Noiry, S Clémençon - Machine Learning, 2024 - Springer
The ability to collect and store ever more massive data, unlabeled in many cases, has been
accompanied by the need to process them efficiently in order to extract relevant information …
accompanied by the need to process them efficiently in order to extract relevant information …
[PDF][PDF] 3rd Workshop on Learning with Imbalanced Domains: Preface
This volume contains the Proceedings of the Third International Workshop on Learning with
Imbalanced Domains: Theory and Applications-LIDTA 2021. This Workshop was co …
Imbalanced Domains: Theory and Applications-LIDTA 2021. This Workshop was co …