| Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting | Feb 17, 2022 | Conformal PredictionPrediction Intervals | CodeCode Available | 1 | 5 |
| Ensembles of Localised Models for Time Series Forecasting | Dec 30, 2020 | ClusteringTime Series | CodeCode Available | 1 | 5 |
| A foundation model with multi-variate parallel attention to generate neuronal activity | Jun 25, 2025 | Seizure DetectionTime Series | CodeCode Available | 1 | 5 |
| Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification | Nov 1, 2024 | QuantizationRepresentation Learning | CodeCode Available | 1 | 5 |
| Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs | Apr 10, 2025 | Multimodal Large Language ModelTime Series | CodeCode Available | 1 | 5 |
| Entropy Causal Graphs for Multivariate Time Series Anomaly Detection | Dec 15, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Enhancing Multivariate Time Series Classifiers through Self-Attention and Relative Positioning Infusion | Feb 13, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach | Aug 2, 2023 | Anomaly DetectionDeep Learning | CodeCode Available | 1 | 5 |
| BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decomposition | Aug 28, 2023 | Computational EfficiencyGaussian Processes | CodeCode Available | 1 | 5 |
| Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series | Feb 7, 2024 | Prediction IntervalsTime Series | CodeCode Available | 1 | 5 |
| Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics | Jun 21, 2022 | SchedulingTime Series | CodeCode Available | 1 | 5 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction | Jan 31, 2024 | DecoderGraph Learning | CodeCode Available | 1 | 5 |
| Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality | Mar 11, 2021 | Scene UnderstandingTime Series | CodeCode Available | 1 | 5 |
| Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network | Apr 26, 2022 | DiagnosticTime Series | CodeCode Available | 1 | 5 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| A biologically plausible neural network for Slow Feature Analysis | Oct 23, 2020 | HippocampusTime Series | CodeCode Available | 1 | 5 |
| Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning | Oct 13, 2022 | Data AugmentationTime Series | CodeCode Available | 1 | 5 |
| Efficient Optimization of Echo State Networks for Time Series Datasets | Mar 12, 2019 | AstronomyBayesian Optimization | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction | Nov 11, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting | Dec 29, 2023 | AttributeEnsemble Learning | CodeCode Available | 1 | 5 |
| Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series Forecasting | Oct 25, 2024 | Deep Reinforcement LearningTime Series | CodeCode Available | 1 | 5 |
| Error-quantified Conformal Inference for Time Series | Feb 2, 2025 | PredictionTime Series | CodeCode Available | 1 | 5 |
| BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis | Oct 31, 2023 | Contrastive LearningSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Efficient Cross-Validation of Echo State Networks | Aug 22, 2019 | One-Shot LearningTime Series | CodeCode Available | 1 | 5 |
| General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping | Jul 11, 2019 | Dynamic Time WarpingNavigate | CodeCode Available | 1 | 5 |
| BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting | Oct 3, 2024 | EpidemiologyMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation | Jan 9, 2025 | Test-time AdaptationTime Series | CodeCode Available | 1 | 5 |
| Effectively Modeling Time Series with Simple Discrete State Spaces | Mar 16, 2023 | State Space ModelsTime Series | CodeCode Available | 1 | 5 |
| Efficient data-driven gap filling of satellite image time series using deep neural networks with partial convolutions | Aug 18, 2022 | Image InpaintingTime Series | CodeCode Available | 1 | 5 |
| Early Classification of Time Series: Taxonomy and Benchmark | Jun 26, 2024 | ClassificationEarly Classification | CodeCode Available | 1 | 5 |
| Early Abandoning and Pruning for Elastic Distances including Dynamic Time Warping | Feb 10, 2021 | ClusteringDynamic Time Warping | CodeCode Available | 1 | 5 |
| EarthPT: a time series foundation model for Earth Observation | Sep 13, 2023 | Earth ObservationTime Series | CodeCode Available | 1 | 5 |
| Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting | Dec 11, 2024 | Adversarial AttackTime Series | CodeCode Available | 1 | 5 |
| DYNOTEARS: Structure Learning from Time-Series Data | Feb 2, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series | Feb 21, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems | Jul 7, 2023 | Anomaly DetectionFault Detection | CodeCode Available | 1 | 5 |
| Adversarial Sparse Transformer for Time Series Forecasting | Dec 1, 2020 | Multivariate Time Series ForecastingPrediction | CodeCode Available | 1 | 5 |
| Dynamic Graph Learning-Neural Network for Multivariate Time Series Modeling | Dec 6, 2021 | Graph LearningInductive Bias | CodeCode Available | 1 | 5 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Axial-LOB: High-Frequency Trading with Axial Attention | Dec 4, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series | Mar 3, 2021 | ClusteringTime Series | CodeCode Available | 1 | 5 |
| Dynamic Sparse Network for Time Series Classification: Learning What to "see'' | Dec 19, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals | Jun 5, 2018 | Data AugmentationEEG | CodeCode Available | 1 | 5 |
| Efficient implementations of echo state network cross-validation | Jun 19, 2020 | One-Shot LearningTime Series | CodeCode Available | 1 | 5 |
| ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting | Dec 5, 2021 | Load ForecastingTime Series | CodeCode Available | 1 | 5 |
| FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting | Dec 2, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
