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05/02/2023
Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression
Time Series Extrinsic Regression (TSER) involves using a set of training...
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04/25/2023
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
In 2017, a research paper compared 18 Time Series Classification (TSC) a...
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05/30/2022
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering
Time series clustering is the act of grouping time series data without r...
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01/28/2022
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
There have recently been significant advances in the accuracy of algorit...
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05/09/2021
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
Using bag of words representations of time series is a popular approach ...
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04/15/2021
HIVE-COTE 2.0: a new meta ensemble for time series classification
The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE...
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08/20/2020
The Canonical Interval Forest (CIF) Classifier for Time Series Classification
Time series classification (TSC) is home to a number of algorithm groups...
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07/26/2020
Benchmarking Multivariate Time Series Classification Algorithms
Time Series Classification (TSC) involved building predictive models for...
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04/25/2020
Detecting Electric Devices in 3D Images of Bags
The aviation and transport security industries face the challenge of scr...
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04/13/2020
On the Usage and Performance of The Hierarchical Vote Collective of Transformation-based Ensembles version 1.0 (HIVE-COTE 1.0)
The Hierarchical Vote Collective of Transformation-based Ensembles (HIVE...
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11/27/2019
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers
Time series classification (TSC) is the problem of learning labels from ...
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09/17/2019
sktime: A Unified Interface for Machine Learning with Time Series
We present sktime -- a new scikit-learn compatible Python library with a...
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09/12/2019
A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency
sktime is an open source, Python based, sklearn compatible toolkit for t...
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07/26/2019
Scalable Dictionary Classifiers for Time Series Classification
Dictionary based classifiers are a family of algorithms for time series ...
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11/01/2018
Can automated smoothing significantly improve benchmark time series classification algorithms?
tl;dr: no, it cannot, at least not on average on the standard archive pr...
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10/31/2018
The UEA multivariate time series classification archive, 2018
In 2002, the UCR time series classification archive was first released w...
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10/17/2018
The UCR Time Series Archive
The UCR Time Series Archive - introduced in 2002, has become an importan...
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09/18/2018
From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers
A family of algorithms for time series classification (TSC) involve runn...
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12/18/2017
A Shapelet Transform for Multivariate Time Series Classification
Shapelets are phase independent subsequences designed for time series cl...
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10/25/2017
The Heterogeneous Ensembles of Standard Classification Algorithms (HESCA): the Whole is Greater than the Sum of its Parts
Building classification models is an intrinsically practical exercise th...
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03/28/2017
Simulated Data Experiments for Time Series Classification Part 1: Accuracy Comparison with Default Settings
There are now a broad range of time series classification (TSC) algorith...
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03/20/2017
On the Use of Default Parameter Settings in the Empirical Evaluation of Classification Algorithms
We demonstrate that, for a range of state-of-the-art machine learning al...
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09/17/2014