Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Bayesian Model for Multiple Change-Points Detection in Multivariate Time Series
Rank-based multiple change-point detection in multivariate time series
changepoint:an R package for changepoint analysis
On Optimal Multiple Changepoint Algorithms for Large Data
Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation
Change-Point Detection with Feature Selection in High-Dimensional Time-Series Data
Hierarchical Change Point Detection on Dynamic Networks
Change-Point Detection in Time-Series Data Based on Subspace Identification
A unifying framework for detecting outliers and change points from non-stationary time series data
A unifying framework for detecting outliers and change points from time series
Contextual Time Series Change Detection
Inertial hidden markov models: modeling change in multivariate time series
Real-time Change Point Detection using On-line Topic Models
Application of multiple change point detection methods to large urban telecommunication networks
Block-wise map inference for determinantal point processes with application to change-point detection
ruptures: change point detection in Python
a gaussian process based online change detection algorithm for monitoring periodic time series .
Bayesian Nonparametric Methods for Learning Markov Switching Processes
Hierarchical Bayesian Time Series Models
Dynamic Mixture Models for Multiple Time-Series
Calibration of p Values for Testing Precise Null Hypotheses
Smart irrigation care unit
The Optimum Design of Gear Transmission Based on MATLAB
Precocious Puberty
Acoustic vowel reduction as a function of sentence accent, word stress, and word class