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Showing 1751–1800 of 9169 papers

TitleStatusHype
HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction—0
Evaluating Time Series Models with Knowledge Discovery—0
ImputeGAP: A Comprehensive Library for Time Series Imputation—0
On a Dissimilarity Metric for Analyzing Body Synergistic Coordination in Non-Periodic Motion—0
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification—0
Diffusion-Based Forecasting for Uncertainty-Aware Model Predictive Control—0
Persistent Homology-induced Graph Ensembles for Time Series RegressionsCode0
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency—0
Out-of-Distribution Generalization in Time Series: A SurveyCode0
Early Detection of Forest Calamities in Homogeneous Stands -- Deep Learning Applied to Bark-Beetle Outbreaks—0
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression—0
Augmented Invertible Koopman Autoencoder for long-term time series forecastingCode0
Dynamical Mode Recognition of Turbulent Flames in a Swirl-stabilized Annular Combustor by a Time-series Learning Approach—0
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly DetectionCode0
Lithium-ion Battery Capacity Prediction via Conditional Recurrent Generative Adversarial Network-based Time-Series Regeneration—0
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables—0
Optimal Transport and Adaptive Thresholding for Universal Domain Adaptation on Time SeriesCode0
MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB RadarCode0
Hierarchical Information-Guided Spatio-Temporal Mamba for Stock Time Series Forecasting—0
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models—0
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data—0
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers—0
Deep Learning for Time Series Forecasting: A Survey—0
Minimal Time Series TransformerCode0
Revisiting Backdoor Attacks on Time Series Classification in the Frequency Domain—0
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics—0
Predicting Lifespan of Ground-to-Air Multipath Components in mmWave UAV Channels—0
EEG relative phase-based analysis unveils the complexity and universality of human brain dynamics: integrative insights from general anesthesia and ADHD—0
Towards Efficient Parametric State Estimation in Circulating Fuel Reactors with Shallow Recurrent Decoder NetworksCode0
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization—0
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series ForecastingCode0
Data Driven Decision Making with Time Series and Spatio-temporal Data—0
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models—0
Enhancing Time Series Forecasting via Logic-Inspired Regularization—0
PTMs-TSCIL Pre-Trained Models Based Class-Incremental Learning—0
Personalized Convolutional Dictionary Learning of Physiological Time SeriesCode0
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks—0
Machine learning algorithms to predict stroke in China based on causal inference of time series analysis—0
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph—0
Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA—0
Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature—0
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction—0
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM—0
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion ModelsCode0
Generating Building-Level Heat Demand Time Series by Combining Occupancy Simulations and Thermal Modeling—0
On reconstructing high derivatives of noisy time-series with confidence intervals—0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster—0
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation—0
Coarse graining and reduced order models for plume ejection dynamics—0
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