Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Novel Online Methods for Time Series Segmentation
Segmenting Time Series: A Survey and Novel Approach
A New Segmentation Algorithm to Stock Time Series Based on PIP Approach
YASA: Yet Another Time Series Segmentation Algorithm for Anomaly Detection in Big Data Problems
Adaptive Threshold for Anomaly Detection Using Time Series Segmentation
Query Segmentation Revisited
Automatic Segmentation of Data Sequences
A review and experimental evaluation of recent advances in time series classification
Time Series Segmentation of Paleoclimate Tipping Points by an Evolutionary Algorithm
Structured Time Series Analysis for Human Action Segmentation and Recognition
Scalable time series classification
Seglearn: A Python Package for Learning Sequences and Time Series
Time series prediction and online learning.
Adjacent Mean Difference (AMD) method for dynamic segmentation in time series anomaly detection
Semi-supervised time series classification
Deep learning for time series classification: a review
Pattern Extraction for Time Series Classification
A Minimum Description Length Technique for Semi-Supervised Time Series Classification
Finding patterns in time series: a dynamic programming approach
Deep Learning for Time-Series Analysis
A Random Walks View of Spectral Segmentation
Mixing augmented reality and EEG technology to create an unique learning tool for construction process
Economic impact of childhood/adolescent ADHD in a European setting: the Netherlands as a reference case
Pattern classification and scene analysis
A tree implementation of a credit spread model for credit derivatives
Mechanisms of Sharp Wave Initiation and Ripple Generation