conftrace_

time series classification

97 papers

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Also known as

TSC

Co-occurring keywords

representation learning (6206) convolutional neural network (4226) multivariate time series (139) time series (435) time series forecasting (364) dynamic time warping (81) deep neural network (1803) data augmentation (3052) time-series classification (17) irregular time series (21)

Papers

aeon: a Python Toolkit for Learning from Time Series JMLR 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification NIPS 2024
Boosting Transferability and Discriminability for Time Series Domain Adaptation NIPS 2024
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification AAAI 2024
Kepler Light Curve Classification Using Deep Learning and Markov Transition Field (Student Abstract) AAAI 2024
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations AAAI 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks NIPS 2024
Black-Box Adversarial Attack on Time Series Classification AAAI 2023
SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification AAAI 2023
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels NIPS 2023
Context Consistency Regularization for Label Sparsity in Time Series ICML 2023
CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023
Supervised Contrastive Few-Shot Learning for High-Frequency Time Series AAAI 2023
PrimeNet: Pre-training for Irregular Multivariate Time Series AAAI 2023
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NIPS 2023
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series NIPS 2023
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding AAAI 2022
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification IJCAI 2022
Interpretable Classification of Categorical Time Series Using the Spectral Envelope and Optimal Scalings JMLR 2022
Dynamic Sparse Network for Time Series Classification: Learning What to “See” NIPS 2022
TS2Vec: Towards Universal Representation of Time Series AAAI 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis AAAI 2022
LIMESegment: Meaningful, Realistic Time Series Explanations AISTATS 2022
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification IJCAI 2022
Time Series Data Augmentation for Deep Learning: A Survey IJCAI 2021