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Time Series

396 papers with code · Time Series

Time series deals with sequential data where the data is indexed (ordered) by a time dimension.

( Image credit: Autoregressive CNNs for Asynchronous Time Series )

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Latest papers with code

Neural Controlled Differential Equations for Irregular Time Series

18 May 2020patrick-kidger/NeuralCDE

The resulting \emph{neural controlled differential equation} model is directly applicable to the general setting of partially-observed irregularly-sampled multivariate time series, and (unlike previous work on this problem) it may utilise memory-efficient adjoint-based backpropagation even across observations.

IRREGULAR TIME SERIES TIME SERIES

184
18 May 2020

Multi-step-ahead Prediction from Short-term Data by Delay-embedding-based Forecast Machine

16 May 2020Peng154/Delay-Embedding-based-Forecast-Machine

Making accurate multi-step-ahead prediction for a complex system is a challenge for many practical applications, especially when only short-term time-series data are available.

TIME SERIES

0
16 May 2020

On time series representations for multi-label NILM

Neural Computing and Applications 2020 ChristoferNal/multi-nilm

Given only the main power consumption of a household, a non-intrusive load monitoring (NILM) system identifies which appliances are operating.

DIMENSIONALITY REDUCTION NON-INTRUSIVE LOAD MONITORING TIME SERIES

5
02 May 2020

Deep ConvLSTM with self-attention for human activity decoding using wearables

2 May 2020isukrit/encodingHumanActivity

Decoding human activity accurately from wearable sensors can aid in applications related to healthcare and context awareness.

TIME SERIES

0
02 May 2020

ALPS: Active Learning via Perturbations

20 Apr 2020danikiyasseh/ALPS

Small, labelled datasets in the presence of larger, unlabelled datasets pose challenges to data-hungry deep learning algorithms.

ACTIVE LEARNING TIME SERIES

0
20 Apr 2020

Time Series Data Augmentation for Neural Networks by Time Warping with a Discriminative Teacher

19 Apr 2020uchidalab/time_series_augmentation

In order to address this problem, we propose a novel time series data augmentation called guided warping.

DATA AUGMENTATION TIME SERIES TIME SERIES CLASSIFICATION

9
19 Apr 2020

Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting

17 Apr 2020tanwimallick/TL-DCRNN

To that end, we develop a new transfer learning approach for DCRNN, where a single model trained on data-rich regions of the highway network can be used to forecast traffic on unseen regions of the highway network.

TIME SERIES TRANSFER LEARNING

0
17 Apr 2020

k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)

9 Apr 2020PadraigC/kNNTutorial

This paper presents an overview of techniques for Nearest Neighbour classification focusing on; mechanisms for assessing similarity (distance), computational issues in identifying nearest neighbours and mechanisms for reducing the dimension of the data.

TIME SERIES

1
09 Apr 2020

Disentangled sticky hierarchical Dirichlet process hidden Markov model

6 Apr 2020zhd96/ds-hdp-hmm

The Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) has been used widely as a natural Bayesian nonparametric extension of the classical Hidden Markov Model for learning from sequential and time-series data.

TIME SERIES

1
06 Apr 2020

From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction

1 Apr 2020helange23/from_fourier_to_koopman

We propose spectral methods for long-term forecasting of temporal signals stemming from linear and nonlinear quasi-periodic dynamical systems.

TIME SERIES TIME SERIES PREDICTION

11
01 Apr 2020