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Time Series Classification

58 papers with code · Time Series

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Distributed and parallel time series feature extraction for industrial big data applications

25 Oct 2016blue-yonder/tsfresh

This problem is especially hard to solve for time series classification and regression in industrial applications such as predictive maintenance or production line optimization, for which each label or regression target is associated with several time series and meta-information simultaneously.

FEATURE IMPORTANCE FEATURE SELECTION TIME SERIES TIME SERIES CLASSIFICATION

Shallow RNN: Accurate Time-series Classification on Resource Constrained Devices

NeurIPS 2019 Microsoft/EdgeML

The second layer consumes the output of the first layer using a second RNN thus capturing long dependencies.

TIME SERIES TIME SERIES CLASSIFICATION

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

NeurIPS 2018 Microsoft/EdgeML

FastRNN addresses these limitations by adding a residual connection that does not constrain the range of the singular values explicitly and has only two extra scalar parameters.

ACTION CLASSIFICATION LANGUAGE MODELLING SPEECH RECOGNITION TIME SERIES TIME SERIES CLASSIFICATION

Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices

NeurIPS 2018 Microsoft/EdgeML

We propose a method, EMI-RNN, that exploits these observations by using a multiple instance learning formulation along with an early prediction technique to learn a model that achieves better accuracy compared to baseline models, while simultaneously reducing computation by a large fraction.

MULTIPLE INSTANCE LEARNING TIME SERIES TIME SERIES CLASSIFICATION

sktime: A Unified Interface for Machine Learning with Time Series

17 Sep 2019alan-turing-institute/sktime

We present sktime -- a new scikit-learn compatible Python library with a unified interface for machine learning with time series.

TIME SERIES TIME SERIES ANALYSIS TIME SERIES CLASSIFICATION TIME SERIES FORECASTING

Scalable Dictionary Classifiers for Time Series Classification

26 Jul 2019alan-turing-institute/sktime

Dictionary based classifiers are a family of algorithms for time series classification (TSC), that focus on capturing the frequency of pattern occurrences in a time series.

TIME SERIES TIME SERIES CLASSIFICATION

LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

1 Jul 2016chickenbestlover/RNN-Time-series-Anomaly-Detection

Mechanical devices such as engines, vehicles, aircrafts, etc., are typically instrumented with numerous sensors to capture the behavior and health of the machine.

ANOMALY DETECTION OUTLIER DETECTION TIME SERIES TIME SERIES CLASSIFICATION

Deep learning for time series classification: a review

12 Sep 2018hfawaz/dl-4-tsc

We give an overview of the most successful deep learning applications in various time series domains under a unified taxonomy of DNNs for TSC.

TIME SERIES TIME SERIES CLASSIFICATION

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

20 Nov 2016cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline

We propose a simple but strong baseline for time series classification from scratch with deep neural networks.

TIME SERIES TIME SERIES CLASSIFICATION