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Found 5 papers, 2 papers with code
Deep Semi-Supervised Anomaly Detection
Deep approaches to anomaly detection have recently shown promising results over shallow methods on large and complex datasets.
Unsupervised Detection and Explanation of Latent-class Contextual Anomalies
Detecting and explaining anomalies is a challenging effort.
Optimizing for Measure of Performance in Max-Margin Parsing
Many statistical learning problems in the area of natural language processing including sequence tagging, sequence segmentation and syntactic parsing has been successfully approached by means of structured prediction methods.
Minimizing Trust Leaks for Robust Sybil Detection
Sybil detection is a crucial task to protect online social networks (OSNs) against intruders who try to manipulate automatic services provided by OSNs to their customers.
Feature Importance Measure for Non-linear Learning Algorithms
MFI is general and can be applied to any arbitrary learning machine (including kernel machines and deep learning).
