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Greatest papers with code

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

Deep learning for time series classification

1 Oct 2020hfawaz/dl-4-tsc

In this context, deep learning has emerged in recent years as one of the most effective methods for tackling the supervised classification task, particularly in the field of computer vision.

ACTIVITY RECOGNITION DATA AUGMENTATION TIME SERIES TIME SERIES ANALYSIS TIME SERIES CLASSIFICATION TRANSFER LEARNING

catch22: CAnonical Time-series CHaracteristics

29 Jan 2019benfulcher/hctsa

Capturing the dynamical properties of time series concisely as interpretable feature vectors can enable efficient clustering and classification for time-series applications across science and industry.

DIMENSIONALITY REDUCTION TIME SERIES TIME SERIES ANALYSIS TIME SERIES CLASSIFICATION

hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction

Cell Systems 2017 benfulcher/hctsa

Phenotype measurements frequently take the form of time series, but we currently lack a systematic method for relating these complex data streams to scientifically meaningful outcomes, such as relating the movement dynamics of organisms to their genotype or measurements of brain dynamics of a patient to their disease diagnosis.

TIME SERIES TIME SERIES ANALYSIS

Highly comparative time-series analysis: The empirical structure of time series and their methods

Journal of the Royal Society Interface 2013 benfulcher/hctsa

This new approach to comparing across diverse scientific data and methods allows us to organize time-series datasets automatically according to their properties, retrieve alternatives to particular analysis methods developed in other scientific disciplines, and automate the selection of useful methods for time-series classification and regression tasks.

TIME SERIES TIME SERIES ANALYSIS TIME SERIES CLASSIFICATION

Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural Networks

16 Feb 2021benedekrozemberczki/pytorch_geometric_temporal

Recurrent graph convolutional neural networks are highly effective machine learning techniques for spatiotemporal signal processing.

TIME SERIES TIME SERIES ANALYSIS WEATHER FORECASTING

Deep Neural Network Ensembles for Time Series Classification

15 Mar 2019hfawaz/ijcnn19ensemble

Deep neural networks have revolutionized many fields such as computer vision and natural language processing.

TIME SERIES TIME SERIES ANALYSIS TIME SERIES CLASSIFICATION

Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

23 Jun 2018AHoke/Multilevel_Wavelet_Decomposition_Network_Pytorch

In light of this, in this paper we propose a wavelet-based neural network structure called multilevel Wavelet Decomposition Network (mWDN) for building frequency-aware deep learning models for time series analysis.

TIME SERIES TIME SERIES ANALYSIS TIME SERIES CLASSIFICATION

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

7 Mar 2019ykang/tsgeneration

The explosion of time series data in recent years has brought a flourish of new time series analysis methods, for forecasting, clustering, classification and other tasks.

TIME SERIES TIME SERIES ANALYSIS TIME SERIES FORECASTING