| A Review of Graph Neural Networks and Their Applications in Power Systems | Jan 25, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting | Dec 14, 2023 | ManagementRepresentation Learning | CodeCode Available | 1 | 5 |
| Sparse Graph Learning from Spatiotemporal Time Series | May 26, 2022 | Graph LearningInductive Bias | CodeCode Available | 1 | 5 |
| Dimensionality reduction to maximize prediction generalization capability | Mar 1, 2020 | Dimensionality ReductionPrediction | CodeCode Available | 1 | 5 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms | Jun 2, 2023 | AllPrediction | CodeCode Available | 1 | 5 |
| MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction | Aug 1, 2022 | PredictionStock Price Prediction | CodeCode Available | 1 | 5 |
| DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting | May 26, 2020 | Graph Neural NetworkHuman motion prediction | CodeCode Available | 1 | 5 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 | 5 |
| Deep and Confident Prediction for Time Series at Uber | Sep 6, 2017 | Anomaly DetectionPrediction | CodeCode Available | 1 | 5 |
| SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting | Jan 27, 2025 | Edge-computingTime Series | CodeCode Available | 1 | 5 |
| Extended Deep Adaptive Input Normalization for Preprocessing Time Series Data for Neural Networks | Oct 23, 2023 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly | May 22, 2021 | Bayesian OptimisationBayesian Optimization | CodeCode Available | 1 | 5 |
| MultiWave: Multiresolution Deep Architectures through Wavelet Decomposition for Multivariate Time Series Prediction | Jun 16, 2023 | Activity RecognitionDeep Learning | CodeCode Available | 1 | 5 |
| Non-Gaussian Gaussian Processes for Few-Shot Regression | Oct 26, 2021 | Few-Shot LearningGaussian Processes | CodeCode Available | 1 | 5 |
| CVaR-based Flight Energy Risk Assessment for Multirotor UAVs using a Deep Energy Model | May 31, 2021 | energy managementManagement | CodeCode Available | 1 | 5 |
| DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales | Apr 9, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | 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 |
| Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting | Jul 6, 2017 | DecoderMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Spatiotemporal information conversion machine for time-series prediction | Jul 3, 2021 | Causal InferencePrediction | CodeCode Available | 1 | 5 |
| SIGMA: Selective Gated Mamba for Sequential Recommendation | Aug 21, 2024 | MambaRecommendation Systems | CodeCode Available | 1 | 5 |
| Transformers versus LSTMs for electronic trading | Sep 20, 2023 | PredictionTime Series | CodeCode Available | 1 | 5 |
| Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer Radiotherapy | Jun 2, 2021 | Multivariate Time Series ForecastingPosition | CodeCode Available | 1 | 5 |
| Error-quantified Conformal Inference for Time Series | Feb 2, 2025 | PredictionTime Series | CodeCode Available | 1 | 5 |
| PyRCN: A Toolbox for Exploration and Application of Reservoir Computing Networks | Mar 8, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Recursive Gaussian Process State Space Model | Nov 22, 2024 | Computational EfficiencyHyperparameter Optimization | CodeCode Available | 1 | 5 |
| MS-TVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Dynamic Convolution | Jun 8, 2025 | Time SeriesTime Series Prediction | CodeCode Available | 0 | 5 |
| Attention-Enhanced Reservoir Computing | Dec 27, 2023 | PredictionTemporal Sequences | CodeCode Available | 0 | 5 |
| Multi-Modal Conformal Prediction Regions with Simple Structures by Optimizing Convex Shape Templates | Dec 12, 2023 | Autonomous VehiclesConformal Prediction | CodeCode Available | 0 | 5 |
| A tensor network approach for chaotic time series prediction | May 23, 2025 | Computational EfficiencyTensor Networks | CodeCode Available | 0 | 5 |
| FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series | Nov 28, 2023 | Additive modelsfeature selection | CodeCode Available | 0 | 5 |
| Multiple model estimation under perspective of random-fuzzy dual interpretation of unknown uncertainty | Apr 1, 2024 | Keypoint EstimationPoint Tracking | CodeCode Available | 0 | 5 |
| ATCN: Resource-Efficient Processing of Time Series on Edge | Nov 10, 2020 | General ClassificationHeartbeat Classification | CodeCode Available | 0 | 5 |
| Multi-task Meta Label Correction for Time Series Prediction | Mar 9, 2023 | Contrastive LearningData Visualization | CodeCode Available | 0 | 5 |
| IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models | Oct 20, 2024 | Explanation GenerationTime Series | CodeCode Available | 0 | 5 |
| Individual Bus Trip Chain Prediction and Pattern Identification Considering Similarities | Dec 16, 2024 | PredictionTime Series | CodeCode Available | 0 | 5 |
| Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training | Dec 23, 2023 | Image Generationreinforcement-learning | CodeCode Available | 0 | 5 |
| Improving COVID-19 Forecasting using eXogenous Variables | Jul 20, 2021 | Mortality PredictionTime Series Analysis | CodeCode Available | 0 | 5 |
| Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks | Jan 29, 2024 | Spatio-Temporal ForecastingTime Series Prediction | CodeCode Available | 0 | 5 |
| Langevin-gradient parallel tempering for Bayesian neural learning | Nov 11, 2018 | Decision MakingTime Series | CodeCode Available | 0 | 5 |
| LTC-SE: Expanding the Potential of Liquid Time-Constant Neural Networks for Scalable AI and Embedded Systems | Apr 18, 2023 | Time SeriesTime Series Prediction | CodeCode Available | 0 | 5 |
| Multi-task Temporal Convolutional Network for Predicting Water Quality Sensor | Dec 5, 2019 | ManagementTime Series Prediction | CodeCode Available | 0 | 5 |
| Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction | Mar 1, 2023 | Air Pollution PredictionDeep Learning | CodeCode Available | 0 | 5 |
| Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series | Nov 19, 2024 | Time SeriesTime Series Prediction | CodeCode Available | 0 | 5 |
| Function Extrapolation with Neural Networks and Its Application for Manifolds | May 17, 2024 | Time SeriesTime Series Prediction | CodeCode Available | 0 | 5 |
| Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems | Mar 4, 2024 | Computational EfficiencyTime Series | CodeCode Available | 0 | 5 |
| Imbedding Deep Neural Networks | Jan 31, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 | 5 |
| Time-Series Event Prediction with Evolutionary State Graph | May 10, 2019 | Graph Neural NetworkPrediction | CodeCode Available | 0 | 5 |
| Graph Edit Networks | Jan 1, 2021 | AttributeGraph Generation | CodeCode Available | 0 | 5 |
