| Model-Free Unsupervised Anomaly Detection Framework in Multivariate Time-Series of Industrial Dynamical Systems | May 14, 2024 | Anomaly DetectionIncremental Learning | —Unverified | 0 |
| DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting | May 14, 2024 | ClusteringCollaborative Filtering | —Unverified | 0 |
| CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning | May 14, 2024 | Causal InferenceDeep Reinforcement Learning | —Unverified | 0 |
| Kolmogorov-Arnold Networks (KANs) for Time Series Analysis | May 14, 2024 | Kolmogorov-Arnold NetworksTime Series | —Unverified | 0 |
| Comparative Study of Bitcoin Price Prediction | May 13, 2024 | L2 RegularizationPrediction | —Unverified | 0 |
| IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data | May 13, 2024 | Anomaly DetectionChange Detection | —Unverified | 0 |
| DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems | May 13, 2024 | Anomaly DetectionDimensionality Reduction | CodeCode Available | 0 |
| RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection | May 13, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data | May 13, 2024 | Decision MakingExplainable artificial intelligence | —Unverified | 0 |
| Forecasting with Hyper-Trees | May 13, 2024 | Inductive BiasTime Series | CodeCode Available | 1 |
| Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation | May 12, 2024 | Time Series | —Unverified | 0 |
| TKAN: Temporal Kolmogorov-Arnold Networks | May 12, 2024 | Kolmogorov-Arnold NetworksManagement | CodeCode Available | 3 |
| Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting | May 12, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Predictive Modeling in the Reservoir Kernel Motif Space | May 11, 2024 | Time SeriesTime Series Prediction | —Unverified | 0 |
| Causal Inference from Slowly Varying Nonstationary Processes | May 11, 2024 | Causal IdentificationCausal Inference | —Unverified | 0 |
| Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction | May 11, 2024 | PredictionTime Series | —Unverified | 0 |
| DTMamba : Dual Twin Mamba for Time Series Forecasting | May 11, 2024 | MambaPrediction | —Unverified | 0 |
| TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights | May 10, 2024 | Anomaly DetectionDynamic Time Warping | —Unverified | 0 |
| Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting | May 10, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask | May 9, 2024 | Anomaly DetectionImputation | CodeCode Available | 2 |
| Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting | May 9, 2024 | Decision MakingTime Series | —Unverified | 0 |
| Neural Network Learning of Black-Scholes Equation for Option Pricing | May 9, 2024 | Time Series | —Unverified | 0 |
| Concrete Dense Network for Long-Sequence Time Series Clustering | May 8, 2024 | ClusteringDeep Clustering | —Unverified | 0 |
| How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression | May 8, 2024 | Deep Learningregression | —Unverified | 0 |
| Towards Invariant Time Series Forecasting in Smart Cities | May 8, 2024 | ManagementTime Series | —Unverified | 0 |