SelfMatch: Robust semisupervised time‐series classification with self‐distillation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22957
Abstract: Over the years, a number of semisupervised deep‐learning algorithms have been proposed for time‐series classification (TSC). In semisupervised deep learning, from the point of view of representation hierarchy, semantic information extracted from lower levels is… read more here.
Keywords: semantic information; time series; selfmatch; robust semisupervised ... See more keywords
ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
Sign Up to like & getrecommendations! Published in 2020 at "Data Mining and Knowledge Discovery"
DOI: 10.1007/s10618-020-00701-z
Abstract: Most methods for time series classification that attain state-of-the-art accuracy have high computational complexity, requiring significant training time even for smaller datasets, and are intractable for larger datasets. Additionally, many existing methods focus on a… read more here.
Keywords: series classification; time; time series; using random ... See more keywords
Heterogeneous Feature Based Time Series Classification With Attention Mechanism
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3188393
Abstract: Time series classification (TSC) problem has been a significantly attractive research problem for decades. A large number of models with various types of features have been proposed. However, with the rapid development of new applications,… read more here.
Keywords: time; heterogeneous feature; time series; classification ... See more keywords
Variable-Length Multivariate Time Series Classification Using ROCKET: A Case Study of Incident Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3203523
Abstract: Multivariate time series classification is a machine learning problem that can be applied to automate a wide range of real-world data analysis tasks. RandOm Convolutional KErnel Transform (ROCKET) proved to be an outstanding algorithm capable… read more here.
Keywords: time; multivariate time; time series; series classification ... See more keywords
Meta-Feature Fusion for Few-Shot Time Series Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3270493
Abstract: Deep learning has been widely adopted for end-to-end time-series classification (TSC). However, the effectiveness of deep learning heavily relies on large-scale data. Thus, deep learning is prone to overfit when only few labeled samples are… read more here.
Keywords: time; shot; time series; series classification ... See more keywords
Fuzzy Cognitive Map-Driven Comprehensive Time-Series Classification.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2021.3133597
Abstract: This article presents a comprehensive approach for time-series classification. The proposed model employs a fuzzy cognitive map (FCM) as a classification engine. Preprocessed input data feed the employed FCM. Map responses, after a postprocessing procedure,… read more here.
Keywords: model; classification; series classification; time series ... See more keywords
Efficient Shapelet Discovery for Time Series Classification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.2995870
Abstract: Time-series shapelets are discriminative subsequences, recently found effective for time series classification (TSC). It is evident that the quality of shapelets is crucial to the accuracy of TSC. However, major research has focused on building… read more here.
Keywords: series classification; shapelet; time series;
Dissimilarity-Preserving Representation Learning for One-Class Time Series Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3273503
Abstract: We propose to embed time series in a latent space where pairwise Euclidean distances (EDs) between samples are equal to pairwise dissimilarities in the original space, for a given dissimilarity measure. To this end, we… read more here.
Keywords: time; time series; classification; dissimilarity ... See more keywords
Adversarial Attacks on Time Series
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2020.2986319
Abstract: Time series classification models have been garnering significant importance in the research community. However, not much research has been done on generating adversarial samples for these models. These adversarial samples can become a security concern.… read more here.
Keywords: series classification; time; time series; classification models ... See more keywords