Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Approximations to magic: finding unusual medical time series
Probabilistic discovery of time series motifs
Streaming Pattern Discovery in Multiple Time-Series
Time series outlier detection and imputation
Modeling approaches for time series forecasting and anomaly detection
Big Data Analysis Using Modern Statistical and Machine Learning Methods in Medicine
Outliers, level shifts, and variance changes in time series
Data mining based fragmentation and prediction of medical data
A temporal pattern mining approach for classifying electronic health record data
A multiresolution symbolic representation of time series
Comparison of trend detection algorithms in the analysis of physiological time-series data
An effective and efficient hash-based algorithm for time series discord discovery
A survey on forecasting of time series data
Assumption-free anomaly detection in time series
Knowledge Discovery in Time Series Databases
Visualizing Variable-Length Time Series Motifs.
Time series anomaly discovery with grammar-based compression.
TimeFork: Interactive Prediction of Time Series
Anomaly Detection in Time Series Data Based on Holt-Winters Method
Visually mining and monitoring massive time series
Effective periodic pattern mining in time series databases
HSim: A MapReduce simulator in enabling Cloud Computing
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
A simulation framework for real-time assessment of dynamic ride sharing demand responsive transportation models
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models
On-chip vs. off-chip memory: the data partitioning problem in embedded processor-based systems