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SelfMatch: Robust semisupervised time‐series classification with self‐distillation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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SUCCESS: A New Approach for Semi-supervised Classification of Time-Series

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Deep learning for time series classification: a review

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Deep Semi-supervised Learning for Time Series Classification

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Time series classification from scratch with deep neural networks: A strong baseline

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ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification

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RNTS: Robust Neural Temporal Search for Time Series Classification

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Semi-supervised time series classification

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DTW-D

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Towards robust and label-efficient time series representation learning

inferred← citeshttps://doi.org/10.3390/electronics15112303openalex-snapshot

Expert-Transformer with Prototype-Aware Contrastive Learning for Semi-Supervised Time-Series Classification

inferred← citeshttps://doi.org/10.3390/math11224698openalex-snapshot

Developing System-Based Artificial Intelligence Models for Detecting the Attention Deficit Hyperactivity Disorder

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