| Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image | Mar 16, 2023 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| Evaluation of post-hoc interpretability methods in time-series classification | Feb 11, 2022 | ClassificationTime Series | CodeCode Available | 1 | 5 |
| Building an Automated and Self-Aware Anomaly Detection System | Nov 10, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Parameter Inference with Bifurcation Diagrams | Jun 8, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Differentiable Divergences Between Time Series | Oct 16, 2020 | Dynamic Time WarpingTime Series | CodeCode Available | 1 | 5 |
| Differentiable Compositional Kernel Learning for Gaussian Processes | Jun 12, 2018 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting | Mar 22, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Benchmarks and Custom Package for Energy Forecasting | Jul 14, 2023 | Feature EngineeringLoad Forecasting | CodeCode Available | 1 | 5 |
| Inter-Series Attention Model for COVID-19 Forecasting | Oct 25, 2020 | modelTime Series | CodeCode Available | 1 | 5 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 | 5 |
| Diffusion models for missing value imputation in tabular data | Oct 31, 2022 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations | Mar 3, 2022 | Decision MakingDisentanglement | CodeCode Available | 1 | 5 |
| Diffusion Transformers for Tabular Data Time Series Generation | Apr 10, 2025 | Tabular Data GenerationTime Series | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks | Nov 29, 2022 | PredictionTime Series | CodeCode Available | 1 | 5 |
| Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis | Nov 7, 2024 | Anomaly DetectionClassification | CodeCode Available | 1 | 5 |
| Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors | Sep 9, 2019 | Object LocalizationPrediction | CodeCode Available | 1 | 5 |
| Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics | May 3, 2023 | Time Series | CodeCode Available | 1 | 5 |
| Intrinsic persistent homology via density-based metric learning | Dec 11, 2020 | Anomaly DetectionMetric Learning | CodeCode Available | 1 | 5 |
| Discovering Nonlinear Relations with Minimum Predictive Information Regularization | Jan 7, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Discovering Predictable Latent Factors for Time Series Forecasting | Mar 18, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting | Feb 18, 2025 | DisentanglementTime Series | CodeCode Available | 1 | 5 |
| Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency Domains | Aug 12, 2018 | AllClassification | CodeCode Available | 1 | 5 |
| Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization | Jun 29, 2024 | Dynamic Time WarpingPrediction | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | CodeCode Available | 1 | 5 |
| Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting | Nov 26, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations | May 31, 2020 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction | Aug 20, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting | Sep 2, 2021 | AttributeMulti-Task Learning | CodeCode Available | 1 | 5 |
| Precursor-of-Anomaly Detection for Irregular Time Series | Jun 27, 2023 | Anomaly DetectionIrregular Time Series | CodeCode Available | 1 | 5 |
| Interpretable Time-series Classification on Few-shot Samples | Jun 3, 2020 | ClassificationFew-Shot Learning | CodeCode Available | 1 | 5 |
| Predicting in-hospital mortality by combining clinical notes with time-series data | Aug 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Predicting Patient Outcomes with Graph Representation Learning | Jan 11, 2021 | Graph Representation LearningLength-of-Stay prediction | CodeCode Available | 1 | 5 |
| DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis | Jan 10, 2024 | Irregular Time SeriesTime Series | CodeCode Available | 1 | 5 |
| Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting | Feb 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift | Apr 7, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 | 5 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Principles and Algorithms for Forecasting Groups of Time Series: Locality and Globality | Aug 2, 2020 | Generalization BoundsTime Series | CodeCode Available | 1 | 5 |
| Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach | Nov 14, 2021 | Algorithmic TradingGeneral Reinforcement Learning | CodeCode Available | 1 | 5 |
| Interpretable Models for Granger Causality Using Self-explaining Neural Networks | Jan 19, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Bilinear Input Normalization for Neural Networks in Financial Forecasting | Sep 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
| DeepMoD: Deep learning for Model Discovery in noisy data | Apr 20, 2019 | Deep LearningModel Discovery | CodeCode Available | 1 | 5 |
| InceptionTime: Finding AlexNet for Time Series Classification | Sep 11, 2019 | Deep LearningGeneral Classification | CodeCode Available | 1 | 5 |
| D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting | Mar 26, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark | Dec 15, 2023 | Activity RecognitionDomain Adaptation | CodeCode Available | 1 | 5 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis | Jan 12, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Proximity Forest 2.0: A new effective and scalable similarity-based classifier for time series | Apr 12, 2023 | Dynamic Time WarpingTime Series | CodeCode Available | 1 | 5 |
| Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks | Jan 1, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
