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Showing 951–1000 of 9169 papers

TitleStatusHype
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency MapsCode0
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers—0
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series TransformerCode3
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
PSformer: Parameter-efficient Transformer with Segment Attention for Time Series Forecasting—0
FilterNet: Harnessing Frequency Filters for Time Series ForecastingCode3
FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics—0
ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential EquationsCode0
A Survey of Financial AI: Architectures, Advances and Open ChallengesCode2
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold NetworksCode1
Segmentation algorithms and modeling of recurrent bursting events in neuronal and glial time series—0
Variational Neural Stochastic Differential Equations with Change Points—0
Abstracted Shapes as Tokens -- A Generalizable and Interpretable Model for Time-series ClassificationCode1
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient DataCode0
Text2Freq: Learning Series Patterns from Text via Frequency Domain—0
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal PropertiesCode0
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting—0
Case ID detection based on time series data -- the mining use case—0
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series ForecastingCode2
LSEAttention is All You Need for Time Series Forecasting—0
In-Context Fine-Tuning for Time-Series Foundation Models—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical SystemsCode0
Gradient-free training of recurrent neural networksCode0
Generative forecasting of brain activity enhances Alzheimer's classification and interpretation—0
Partial Channel Dependence with Channel Masks for Time Series Foundation ModelsCode0
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting—0
MIXAD: Memory-Induced Explainable Time Series Anomaly DetectionCode0
Sequential Order-Robust Mamba for Time Series ForecastingCode0
Higher-order Cross-structural Embedding Model for Time Series Analysis—0
FlexTSF: A Universal Forecasting Model for Time Series with Variable RegularitiesCode1
WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series ForecastingCode1
Log Heston Model for Monthly Average VIX—0
The VIX as Stochastic Volatility for Corporate Bonds—0
A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification—0
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs—0
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detection—0
Exploring Capabilities of Time Series Foundation Models in Building Analytics—0
A Temporal Linear Network for Time Series ForecastingCode0
Federated Time Series Generation on Feature and Temporally Misaligned Data—0
Introducing Spectral Attention for Long-Range Dependency in Time Series ForecastingCode0
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems—0
Temporal Streaming Batch Principal Component Analysis for Time Series Classification—0
SeriesGAN: Time Series Generation via Adversarial and Autoregressive LearningCode1
Trajectory Flow Matching with Applications to Clinical Time Series ModelingCode2
Deconfounding Time Series Forecasting—0
PaPaGei: Open Foundation Models for Optical Physiological SignalsCode2
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting—0
Enhancing Battery Storage Energy Arbitrage with Deep Reinforcement Learning and Time-Series ForecastingCode1
A Stock Price Prediction Approach Based on Time Series Decomposition and Multi-Scale CNN using OHLCT Images—0
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