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Time Series Classification

29 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 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

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

Imaging Time-Series to Improve Classification and Imputation

1 Jun 2015cauchyturing/UCR_Time_Series_Classification_Deep_Learning_Baseline

We used Tiled Convolutional Neural Networks (tiled CNNs) on 20 standard datasets to learn high-level features from the individual and compound GASF-GADF-MTF images.

TIME SERIES TIME SERIES CLASSIFICATION

Insights into LSTM Fully Convolutional Networks for Time Series Classification

27 Feb 2019titu1994/LSTM-FCN

In this paper, we perform a series of ablation tests (3627 experiments) on LSTM-FCN and ALSTM-FCN to provide a better understanding of the model and each of its sub-module.

TIME SERIES TIME SERIES CLASSIFICATION

Multivariate LSTM-FCNs for Time Series Classification

14 Jan 2018titu1994/LSTM-FCN

Over the past decade, multivariate time series classification has been receiving a lot of attention.

ACTION RECOGNITION ACTIVITY RECOGNITION TIME SERIES TIME SERIES CLASSIFICATION

LSTM Fully Convolutional Networks for Time Series Classification

8 Sep 2017titu1994/LSTM-FCN

We propose the augmentation of fully convolutional networks with long short term memory recurrent neural network (LSTM RNN) sub-modules for time series classification.

TIME SERIES TIME SERIES CLASSIFICATION

Multivariate Time Series Classification with WEASEL+MUSE

30 Nov 2017patrickzib/SFA

Multivariate time series (MTS) arise when multiple interconnected sensors record data over time.

GESTURE RECOGNITION TIME SERIES TIME SERIES CLASSIFICATION

Fast and Accurate Time Series Classification with WEASEL

26 Jan 2017patrickzib/SFA

On the popular UCR benchmark of 85 TS datasets, WEASEL is more accurate than the best current non-ensemble algorithms at orders-of-magnitude lower classification and training times, and it is almost as accurate as ensemble classifiers, whose computational complexity makes them inapplicable even for mid-size datasets.

LOAD FORECASTING TIME SERIES TIME SERIES CLASSIFICATION