Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Self Learning Network Traffic Classification
Automated traffic classification and application identification using machine learning
Online cost-sensitive neural network classifiers for non-stationary and imbalanced data streams
probabilistic graphical models for semi - supervised traffic classification .
A hierarchical method for traffic sign classification with support vector machines
Training on multiple sub-flows to optimise the use of Machine Learning classifiers in real-world IP networks
Multi-Column Deep Neural Network for Traffic Sign Classification
Behavior-Based Collective Classification in Sparsely Labeled Networks
A rapid learning algorithm for vehicle classification
Study on network traffic prediction techniques
Internet traffic classification using bayesian analysis techniques
The Evidence Framework Applied to Classification Networks
Deep Learning for Encrypted Traffic Classification: An Overview
An effective similarity metric for application traffic classification
Accurate network anomaly classification with generalized entropy metrics
Accelerating Decision Tree Based Traffic Classification on FPGA and Multicore Platforms
Traffic classification using clustering algorithms
Applying One-Class Classification Techniques to IP Flow Records for Intrusion Detection
Traffic classification on the fly
A committee of neural networks for traffic sign classification
High throughput and programmable online trafficclassifier on FPGA
Framework for Measuring Perceived Quality in Technical Documentation
A Boosted Particle Filter: Multitarget Detection and Tracking
A novel semi-supervised fuzzy clustering method based on interactive fuzzy satisficing for dental x-ray image segmentation
Experience with EMERALD to Date
Industry experience with the IBM Active Middleware Technology (AMiT) Complex Event Processing engine