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Showing 801–850 of 9169 papers

TitleStatusHype
LLMs for Time Series: an Application for Single Stocks and Statistical Arbitrage—0
Federated Foundation Models on Heterogeneous Time SeriesCode1
Auto-Regressive Moving Diffusion Models for Time Series ForecastingCode2
Quantitative Evaluation of Motif Sets in Time SeriesCode0
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting—0
Modeling Latent Non-Linear Dynamical System over Time SeriesCode0
Proactive Model Adaptation Against Concept Drift for Online Time Series ForecastingCode2
Adversarial Vulnerabilities in Large Language Models for Time Series ForecastingCode1
Spectral Differential Network Analysis for High-Dimensional Time Series—0
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time SeriesCode0
Systematic comparison of deep generative models applied to multivariate financial time series—0
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric Power SystemsCode1
Variable Selection for Comparing High-dimensional Time-Series Data—0
Spiking Neural Networks for Radio Frequency Interference Detection in Radio Astronomy—0
LMS-AutoTSF: Learnable Multi-Scale Decomposition and Integrated Autocorrelation for Time Series ForecastingCode0
Mining Limited Data Sufficiently: A BERT-inspired Approach for CSI Time Series Application in Wireless Communication and Sensing—0
Measuring Pre-training Data Quality without Labels for Time Series Foundation Models—0
Exploring the Impact of Synthetic Data on Human Gesture Recognition Tasks Using GANs—0
Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond—0
STEAM-EEG: Spatiotemporal EEG Analysis with Markov Transfer Fields and Attentive CNNs—0
GAF-FusionNet: Multimodal ECG Analysis via Gramian Angular Fields and Split AttentionCode0
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection—0
A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System—0
KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction—0
Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning—0
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization—0
Exact: Exploring Space-Time Perceptive Clues for Weakly Supervised Satellite Image Time Series Semantic SegmentationCode2
Mixed Delay/Nondelay Embeddings Based Neuromorphic Computing with Patterned Nanomagnet Arrays—0
An Efficient Model Maintenance Approach for MLOps—0
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning ModelsCode1
UTSD: Unified Time Series Diffusion Model—0
Research on Financial Multi-Asset Portfolio Risk Prediction Model Based on Convolutional Neural Networks and Image Processing—0
Timestamp calibration for time-series single cell RNA-seq expression dataCode0
ChatTS: Aligning Time Series with LLMs via Synthetic Data for Enhanced Understanding and ReasoningCode3
Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models—0
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control—0
LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data—0
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsCode1
F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain InformationCode1
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
FSMLP: Modelling Channel Dependencies With Simplex Theory Based Multi-Layer Perceptions In Frequency DomainCode0
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis—0
Enhancing Crop Segmentation in Satellite Image Time Series with Transformer Networks—0
MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT ScansCode0
How Much Can Time-related Features Enhance Time Series Forecasting?Code1
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series—0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
Linear Simple Cycle Reservoirs at the edge of stability perform Fourier decomposition of the input driving signalsCode0
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data—0
Modelling Networked Dynamical System by Temporal Graph Neural ODE with Irregularly Partial Observed Time-series Data—0
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