Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods
Anomaly Detection in the Bitcoin System - A Network Perspective
Breaking Bad: De-Anonymising Entity Types on the Bitcoin Blockchain Using Supervised Machine Learning
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Graph-based forensic investigation of Bitcoin transactions
Network Anomaly Detection: Methods, Systems and Tools
Machine learning approaches to network anomaly detection
A Generalized Active Learning Approach for Unsupervised Anomaly Detection
Network anomaly detection with the restricted Boltzmann machine
A hybrid machine learning approach to network anomaly detection
An experimental study of Bitcoin fluctuation using machine learning methods
High-Performance Unsupervised Anomaly Detection for Cyber-Physical System Networks
Data-Driven De-Anonymization in Bitcoin
An Analysis of Anonymity in Bitcoin Using P2P Network Traffic
Research on Anonymization and De-anonymization in the Bitcoin System
Anomaly Detection in Graph : Unsupervised Learning , Graph-based Features and Deep Architecture
Social Network Approach to Anomaly Detection in Network Systems
The Blockchain Anomaly
Graph-based anomaly detection
Anomaly Detection in Networks with Changing Trends
An Empirical Evaluation of Deep Learning for Network Anomaly Detection
Detecting influenza epidemics using search engine query data
Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models
Iterative reconstruction techniques for computed tomography Part 1: Technical principles
Self-compassion versus global self-esteem: Two different ways of relating to oneself
IL-21 acts directly on B cells to regulate Bcl-6 expression and germinal center responses