| M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps | Nov 4, 2024 | Classificationcounterfactual | CodeCode Available | 0 |
| See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers | Nov 4, 2024 | Anomaly DetectionFeature Engineering | —Unverified | 0 |
| ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer | Nov 4, 2024 | PositionTime Series | CodeCode Available | 3 |
| PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting | Nov 3, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series | Nov 3, 2024 | Data IntegrationFeature Engineering | CodeCode Available | 0 |
| FilterNet: Harnessing Frequency Filters for Time Series Forecasting | Nov 3, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 3 |
| FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics | Nov 2, 2024 | Sentiment AnalysisTime Series | —Unverified | 0 |
| ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential Equations | Nov 2, 2024 | DenoisingTime Series | CodeCode Available | 0 |
| A Survey of Financial AI: Architectures, Advances and Open Challenges | Nov 1, 2024 | Decision MakingPortfolio Optimization | CodeCode Available | 2 |
| KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks | Nov 1, 2024 | Anomaly DetectionKolmogorov-Arnold Networks | CodeCode Available | 1 |
| Segmentation algorithms and modeling of recurrent bursting events in neuronal and glial time series | Nov 1, 2024 | Time Series | —Unverified | 0 |
| Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data | Nov 1, 2024 | graph constructionTime Series | CodeCode Available | 0 |
| Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series Classification | Nov 1, 2024 | QuantizationRepresentation Learning | CodeCode Available | 1 |
| Variational Neural Stochastic Differential Equations with Change Points | Nov 1, 2024 | Change Point DetectionTime Series | —Unverified | 0 |
| Text2Freq: Learning Series Patterns from Text via Frequency Domain | Nov 1, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties | Oct 31, 2024 | Anomaly Detectioncounterfactual | CodeCode Available | 0 |
| RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting | Oct 31, 2024 | Multivariate Time Series ForecastingTime Series | —Unverified | 0 |
| Case ID detection based on time series data -- the mining use case | Oct 31, 2024 | Time Series | —Unverified | 0 |
| Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting | Oct 31, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| LSEAttention is All You Need for Time Series Forecasting | Oct 31, 2024 | AllMultivariate Time Series Forecasting | —Unverified | 0 |
| In-Context Fine-Tuning for Time-Series Foundation Models | Oct 31, 2024 | Time Series | —Unverified | 0 |
| EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection | Oct 30, 2024 | Continual LearningHallucination | —Unverified | 0 |
| Generative forecasting of brain activity enhances Alzheimer's classification and interpretation | Oct 30, 2024 | Data AugmentationDeep Learning | —Unverified | 0 |
| Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems | Oct 30, 2024 | Causal DiscoveryCausal Inference | CodeCode Available | 0 |
| Gradient-free training of recurrent neural networks | Oct 30, 2024 | Time SeriesTime Series Analysis | CodeCode Available | 0 |