| 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 |
| Kolmogorov-Arnold Networks (KANs) for Time Series Analysis | May 14, 2024 | Kolmogorov-Arnold NetworksTime Series | —Unverified | 0 |
| CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning | May 14, 2024 | Causal InferenceDeep Reinforcement Learning | —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 |
| Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data | May 13, 2024 | Decision MakingExplainable artificial intelligence | —Unverified | 0 |
| DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured Systems | May 13, 2024 | Anomaly DetectionDimensionality Reduction | CodeCode Available | 0 |
| Forecasting with Hyper-Trees | May 13, 2024 | Inductive BiasTime Series | CodeCode Available | 1 |
| RESTAD: REconstruction and Similarity based Transformer for time series Anomaly Detection | May 13, 2024 | Anomaly DetectionTime Series | CodeCode Available | 0 |
| Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation | May 12, 2024 | Time Series | —Unverified | 0 |
| Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting | May 12, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| TKAN: Temporal Kolmogorov-Arnold Networks | May 12, 2024 | Kolmogorov-Arnold NetworksManagement | CodeCode Available | 3 |
| Predictive Modeling in the Reservoir Kernel Motif Space | May 11, 2024 | Time SeriesTime Series Prediction | —Unverified | 0 |
| DTMamba : Dual Twin Mamba for Time Series Forecasting | May 11, 2024 | MambaPrediction | —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 |
| 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 |
| Towards Invariant Time Series Forecasting in Smart Cities | May 8, 2024 | ManagementTime 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 |
| Representation Learning of Daily Movement Data Using Text Encoders | May 7, 2024 | ClusteringLanguage Modeling | CodeCode Available | 0 |
| VAEneu: A New Avenue for VAE Application on Probabilistic Forecasting | May 7, 2024 | Probabilistic Time Series Forecastingscoring rule | —Unverified | 0 |
| Unicorn: U-Net for Sea Ice Forecasting with Convolutional Neural Ordinary Differential Equations | May 7, 2024 | Time Series | CodeCode Available | 0 |
| TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning | May 6, 2024 | Multiple Instance LearningTime Series | CodeCode Available | 2 |
| A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series | May 6, 2024 | Anomaly DetectionTime Series | —Unverified | 0 |
| Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting | May 6, 2024 | Computational EfficiencyTime Series | CodeCode Available | 0 |
| Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction | May 6, 2024 | DenoisingEvent Extraction | —Unverified | 0 |
| ReCycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers | May 6, 2024 | Edge-computingTime Series | CodeCode Available | 0 |
| Time Series Stock Price Forecasting Based on Genetic Algorithm (GA)-Long Short-Term Memory Network (LSTM) Optimization | May 6, 2024 | DescriptiveStock Price Prediction | —Unverified | 0 |
| Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series | May 6, 2024 | DiagnosticTime Series | CodeCode Available | 1 |
| Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting | May 6, 2024 | AstronomyIrregular Time Series | CodeCode Available | 0 |
| Analysis of the Identifying Regulation with Adversarial Surrogates Algorithm | May 5, 2024 | Time Series | CodeCode Available | 0 |
| From Generalization Analysis to Optimization Designs for State Space Models | May 4, 2024 | State Space ModelsTime Series | —Unverified | 0 |
| Position: Quo Vadis, Unsupervised Time Series Anomaly Detection? | May 4, 2024 | Anomaly DetectionBenchmarking | CodeCode Available | 1 |
| A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model | May 3, 2024 | Decision MakingFew-Shot Learning | CodeCode Available | 2 |
| A Survey of Few-Shot Learning for Biomedical Time Series | May 3, 2024 | Few-Shot LearningTime Series | —Unverified | 0 |
| SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery | May 3, 2024 | DecoderEarth Observation | —Unverified | 0 |
| Forecasting Ferry Passenger Flow Using Long-Short Term Memory Neural Networks | May 3, 2024 | Time Series | —Unverified | 0 |
| Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey | May 2, 2024 | Fault DetectionSurvey | —Unverified | 0 |
| QxEAI: Quantum-like evolutionary algorithm for automated probabilistic forecasting | May 2, 2024 | Decision MakingTime Series | —Unverified | 0 |
| Modeling Activity-Driven Music Listening with PACE | May 2, 2024 | Recommendation SystemsTime Series | CodeCode Available | 0 |
| S4: Self-Supervised Sensing Across the Spectrum | May 2, 2024 | SegmentationTime Series | —Unverified | 0 |
| SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters | May 2, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 3 |
| Data Augmentation Policy Search for Long-Term Forecasting | May 1, 2024 | Bayesian OptimizationBilevel Optimization | —Unverified | 0 |
| Predictive Decision Synthesis for Portfolios: Betting on Better Models | Apr 30, 2024 | Time Series | —Unverified | 0 |