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Time Series

Papers

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TitleStatusHype
Effectively Modeling Time Series with Simple Discrete State SpacesCode1
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation SchemeCode1
EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signalsCode1
Building an Automated and Self-Aware Anomaly Detection SystemCode1
k-Graph: A Graph Embedding for Interpretable Time Series ClusteringCode1
Random Dilated Shapelet Transform: A New Approach for Time Series ShapeletsCode1
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature PatchingCode1
DeepMoD: Deep learning for Model Discovery in noisy dataCode1
DEPTS: Deep Expansion Learning for Periodic Time Series ForecastingCode1
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)Code1
Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement PredictionCode1
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic ForecastingCode1
CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-LevelCode1
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series ForecastingCode1
Scalable Classifier-Agnostic Channel Selection for Multivariate Time Series ClassificationCode1
Unlocking the Potential of Deep Learning in Peak-Hour Series ForecastingCode1
Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecastingCode1
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series ForecastingCode1
Scale-Aware Neural Architecture Search for Multivariate Time Series ForecastingCode1
A foundation model with multi-variate parallel attention to generate neuronal activityCode1
Scaling Law for Time Series ForecastingCode1
Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural NetworkCode1
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative ModelsCode1
Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view imageCode1
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal NarrativeCode1
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