| A Novel Deep Learning Model for Hotel Demand and Revenue Prediction amid COVID-19 | Mar 8, 2022 | Correlated Time Series ForecastingCOVID-19 Modelling | CodeCode Available | 1 |
| F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information | Dec 3, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 |
| Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro Data | Jan 12, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 |
| Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data | Sep 11, 2023 | graph constructionGraph Neural Network | CodeCode Available | 1 |
| An Empirical Framework for Domain Generalization in Clinical Settings | Mar 20, 2021 | Domain GeneralizationTime Series | CodeCode Available | 1 |
| Gated Transformer Networks for Multivariate Time Series Classification | Mar 26, 2021 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Gaussian process learning of nonlinear dynamics | Dec 19, 2023 | Bayesian Inferenceparameter estimation | CodeCode Available | 1 |
| Gaussian Process Prior Variational Autoencoders | Oct 28, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
| COVID-19 Data Analysis and Forecasting: Algeria and the World | Jul 19, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection | Feb 22, 2024 | Anomaly DetectionDynamic Time Warping | CodeCode Available | 1 |
| Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs | Oct 4, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | CodeCode Available | 1 |
| Crop mapping from image time series: deep learning with multi-scale label hierarchies | Feb 17, 2021 | Crop ClassificationGeneral Classification | CodeCode Available | 1 |
| An Empirical Evaluation of Time-Series Feature Sets | Oct 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Graph Neural Network-Based Anomaly Detection in Multivariate Time Series | Jun 13, 2021 | Anomaly DetectionGraph Neural Network | CodeCode Available | 1 |
| Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection | Jul 17, 2023 | Anomaly DetectionGraph Learning | CodeCode Available | 1 |
| Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN) | May 27, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| AGNet: Weighing Black Holes with Deep Learning | Aug 17, 2021 | Deep LearningTime Series | CodeCode Available | 1 |
| Cost-effective Interactive Attention Learning with Neural Attention Processes | Jun 9, 2020 | RerankingTime Series | CodeCode Available | 1 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | CodeCode Available | 1 |
| HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting | Feb 12, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| CrossLinear: Plug-and-Play Cross-Correlation Embedding for Time Series Forecasting with Exogenous Variables | May 29, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 |
| Hierarchical Classification Auxiliary Network for Time Series Forecasting | May 29, 2024 | ClassificationTime Series | CodeCode Available | 1 |
| Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets | Sep 28, 2021 | ClassificationTime Series | CodeCode Available | 1 |
| Highly comparative time-series analysis: The empirical structure of time series and their methods | Apr 3, 2013 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Convolutional Radio Modulation Recognition Networks | Feb 12, 2016 | General ClassificationTime Series | CodeCode Available | 1 |
| HIVE-COTE 2.0: a new meta ensemble for time series classification | Apr 15, 2021 | General ClassificationTime Series | CodeCode Available | 1 |
| How Much Can Time-related Features Enhance Time Series Forecasting? | Dec 2, 2024 | Computational EfficiencyTime Series | CodeCode Available | 1 |
| How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series | Apr 23, 2020 | Anomaly DetectionRespiratory Failure | CodeCode Available | 1 |
| Convolution-enhanced Evolving Attention Networks | Dec 16, 2022 | image-classificationImage Classification | CodeCode Available | 1 |
| Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals | Jul 31, 2023 | Blood pressure estimationHypertension detection | CodeCode Available | 1 |
| ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection | Jul 3, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 |
| ANT: Adaptive Noise Schedule for Time Series Diffusion Models | Oct 18, 2024 | Time Series | CodeCode Available | 1 |
| A Review of Graph Neural Networks and Their Applications in Power Systems | Jan 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction | Nov 9, 2023 | Computational EfficiencyTime Series | CodeCode Available | 1 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling | Oct 18, 2022 | ImputationIrregular Time Series | CodeCode Available | 1 |
| Improving Position Encoding of Transformers for Multivariate Time Series Classification | May 26, 2023 | Anomaly DetectionPosition | CodeCode Available | 1 |
| An Unsupervised Approach for Periodic Source Detection in Time Series | Jun 1, 2024 | Self-Supervised LearningTime Series | CodeCode Available | 1 |
| Inductive Graph Neural Networks for Spatiotemporal Kriging | Jun 13, 2020 | Graph Neural NetworkTime Series | CodeCode Available | 1 |
| Inferring Event Descriptions from Time Series with Language Models | Mar 18, 2025 | Time Series | CodeCode Available | 1 |
| An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection | Aug 19, 2022 | Anomaly DetectionRepresentation Learning | CodeCode Available | 1 |
| Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE | Jun 3, 2020 | General Classificationimage-classification | CodeCode Available | 1 |
| Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting | Dec 14, 2020 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 1 |
| Insights into LSTM Fully Convolutional Networks for Time Series Classification | Feb 27, 2019 | ClassificationGeneral Classification | CodeCode Available | 1 |
| Instance-based Counterfactual Explanations for Time Series Classification | Sep 28, 2020 | Classificationcounterfactual | CodeCode Available | 1 |
| Contrastive Neural Processes for Self-Supervised Learning | Oct 24, 2021 | Contrastive LearningData Augmentation | CodeCode Available | 1 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
