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08/18/2023
CARLA: A Self-supervised Contrastive Representation Learning Approach for Time Series Anomaly Detection
We introduce a Self-supervised Contrastive Representation Learning Appro...
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05/26/2023
Improving Position Encoding of Transformers for Multivariate Time Series Classification
Transformers have demonstrated outstanding performance in many applicati...
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05/19/2023
An Approach to Multiple Comparison Benchmark Evaluations that is Stable Under Manipulation of the Comparate Set
The measurement of progress using benchmarks evaluations is ubiquitous i...
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11/16/2022
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting
Threshold Autoregressive (TAR) models have been widely used by statistic...
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11/09/2022
Deep Learning for Time Series Anomaly Detection: A Survey
Time series anomaly detection has applications in a wide range of resear...
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03/25/2022
HYDRA: Competing convolutional kernels for fast and accurate time series classification
We demonstrate a simple connection between dictionary methods for time s...
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10/29/2019
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Most methods for time series classification that attain state-of-the-art...
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10/10/2019
Time series classification for varying length series
Research into time series classification has tended to focus on the case...
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09/11/2019
