| 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 |
| Counterfactual Explanations for Machine Learning on Multivariate Time Series Data | Aug 25, 2020 | BIG-bench Machine Learningcounterfactual | 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 |
| Contrastive Domain Adaptation for Time-Series via Temporal Mixup | Dec 3, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 |
| Counterfactual Explanations for Time Series Forecasting | Oct 12, 2023 | counterfactualTime Series | 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 |
| Crop Rotation Modeling for Deep Learning-Based Parcel Classification from Satellite Time Series | Oct 15, 2021 | ClassificationCrop Classification | CodeCode Available | 1 |
| An Empirical Evaluation of Time-Series Feature Sets | Oct 21, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Cost-effective Interactive Attention Learning with Neural Attention Processes | Jun 9, 2020 | RerankingTime Series | CodeCode Available | 1 |
| Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping | Jun 12, 2023 | Correlated Time Series ForecastingRepresentation Learning | CodeCode Available | 1 |
| Copula Conformal Prediction for Multi-step Time Series Forecasting | Dec 6, 2022 | Conformal PredictionPrediction | 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 |
| GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series | May 29, 2019 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 |
| COT-GAN: Generating Sequential Data via Causal Optimal Transport | Jun 15, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction | Nov 1, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| AGNet: Weighing Black Holes with Machine Learning | Nov 30, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 |
| Domain Adaptation for Time Series Forecasting via Attention Sharing | Feb 13, 2021 | Domain AdaptationTime Series | CodeCode Available | 1 |
| A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning | May 30, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
