Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Multivariate time series classification with parametric derivative dynamic time warping
Pattern recognition and classification for multivariate time series
DTW-D: time series semi-supervised learning from a single example
Boosting for Real-time Multivariate Time Series Classification
Transformation Based Ensembles for Time Series Classification
Exploiting MultiChannels Deep Convolutional Neural Networks for Multivariate Time Series Classification
On Clustering Multimedia Time Series Data Using K-Means and Dynamic Time Warping
Performance tradeoffs in dynamic time warping algorithms for isolated word recognition
Logical-shapelets: an expressive primitive for time series classification
Pattern Extraction for Time Series Classification
Fast classification of univariate and multivariate time series through shapelet discovery
Making Time-series Classification More Accurate Using Learned Constraints
Delay Differential Analysis of Time Series
Recurrent Neural Networks for Time Series Classification
Predicting time series with support vector machines
A Literature Survey of Early Time Series Classification and Deep Learning
Generalizing DTW to the multi-dimensional case requires an adaptive approach
A Minimum Description Length Technique for Semi-Supervised Time Series Classification
Pattern frequency representation for time series classification
A Bag-of-Features Framework to Classify Time Series
Time series clustering and classification by the autoregressive metric
Learning Structured Sparsity in Deep Neural Networks
Dimensionality reduction for the quantitative evaluation of a smartphone-based Timed Up and Go test
Towards a Model of Decision-Making for Systems Requirements Engineering Process Management
Modeling waveform generator of 77 GHz automotive radar for multi-target detection
Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application