Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Scalable Time Series Change Detection for Biomass Monitoring Using Gaussian Process.
Change detection in time series data using wavelet footprints
A support vector machine based technique for online detection of outliers in transient time series
Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks
Modeling approaches for time series forecasting and anomaly detection
An anomaly detection approach for multiple monitoring data series based on latent correlation probabilistic model
Segmenting Time Series: A Survey and Novel Approach
Motif-based Classification of Time Series with Bayesian Networks and SVMs
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series
Outlier Detection for Multidimensional Time Series Using Deep Neural Networks
Novelty Detection in Time Series Data using Ideas from Immunology
Classifying Land Cover from Satellite Images Using Time Series Analytics
A Bag-of-Features Framework to Classify Time Series
Outliers, level shifts, and variance changes in time series
Gaussian Processes for Big Data
A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network
Just-in-Time Adaptive Classifiers—Part I: Detecting Nonstationary Changes
Visually mining and monitoring massive time series
Fast Change Point Detection on Dynamic Social Networks
Analysis of changepoint models.
PCA Feature Extraction for Change Detection in Multidimensional Unlabeled Data
BPP: Large Graph Storage for Efficient Disk Based Processing
Cancer research in India: national priorities, global results
Neural Network Approach to Web Application Protection
Modelling cellular processes with Python and SciPy
An online algorithm for segmenting time series