Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: pyISC: A Bayesian Anomaly Detection Framework for Python.
Generic and Scalable Framework for Automated Time-series Anomaly Detection
Anomaly detection: A survey
Deep Structured Energy Based Models for Anomaly Detection
Comparative Evaluation of Anomaly Detection Techniques for Sequence Data
A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection
Deep Learning for Anomaly Detection: A Survey
Model-Based Anomaly Detection for Discrete Event Systems
Anomaly Detection Using an Ensemble of Feature Models
A Generalized Active Learning Approach for Unsupervised Anomaly Detection
Online Anomaly Prediction for Robust Cluster Systems
Toward Supervised Anomaly Detection
Anomaly detection approach using Hidden Markov Model
Network anomaly detection with the restricted Boltzmann machine
Unsupervised Network Anomaly Detection in Real-Time on Big Data
Anomaly Detection from Incomplete Data
Detecting Patterns of Anomalies
Implementation of Anomaly Detection Technique Using Machine Learning Algorithms
Spatially-weighted Anomaly Detection
Adaptive real-time anomaly detection with incremental clustering
A big data analytics based approach to anomaly detection
Novelty Detection in Time Series Data using Ideas from Immunology
Choosing work group members: Balancing similarity, competence, and familiarity
Gan-Based Domain Adaptation for Object Classification
Qualitative accounts of patients' determinants of vaginal dilator use after pelvic radiotherapy.
A noise-tolerant algorithm for robotic hand-eye calibration with or without sensor orientation measurement