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Showing 7151–7200 of 9169 papers

TitleStatusHype
Seasonality, density dependence and spatial population synchrony—0
Seasonally-Adjusted Auto-Regression of Vector Time Series—0
Seasonal Stochastic Volatility and the Samuelson Effect in Agricultural Futures Markets—0
Sea surface temperature prediction and reconstruction using patch-level neural network representations—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
Options as Silver Bullets: Valuation of Term Loans, Inventory Management, Emissions Trading and Insurance Risk Mitigation using Option Theory—0
Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding—0
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network—0
SEED: A Structural Encoder for Embedding-Driven Decoding in Time Series Prediction with LLMs—0
Deep Federated Anomaly Detection for Multivariate Time Series Data—0
Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling—0
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals—0
Automated Contrastive Learning Strategy Search for Time Series—0
Analyzing time series of unequal durations using Multidimensional Recurrence Quantification Analysis (MdRQA): validation and implementation using Python—0
Seeking for a fingerprint: analysis of point processes in actigraphy recording—0
A Direct Estimation of High Dimensional Stationary Vector Autoregressions—0
Iterative Sparse Identification of Nonlinear Dynamics—0
Segmentation algorithms and modeling of recurrent bursting events in neuronal and glial time series—0
Deep Factors with Gaussian Processes for Forecasting—0
Segment Parameter Labelling in MCMC Mean-Shift Change Detection—0
Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes—0
Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation—0
SegTime: Precise Time Series Segmentation without Sliding Window—0
Deep Factors for Forecasting—0
Seizure prediction with long-term iEEG recordings: What can we learn from data nonstationarity?—0
Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks—0
Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Representation Learning in Time Series—0
Selection of entropy based features for the analysis of the Archimedes' spiral applied to essential tremor—0
Selective Cross-Domain Consistency Regularization for Time Series Domain Generalization—0
IT2CFNN: An Interval Type-2 Correlation-Aware Fuzzy Neural Network to Construct Non-Separable Fuzzy Rules with Uncertain and Adaptive Shapes for Nonlinear Function Approximation—0
Selective linear segmentation for detecting relevant parameter changes—0
Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series—0
Self-attention-based Diffusion Model for Time-series Imputation in Partial Blackout Scenarios—0
Is type 1 diabetes a chaotic phenomenon?—0
Is the Indian Stock Market efficient - A comprehensive study of Bombay Stock Exchange Indices—0
Self-awareness in intelligent vehicles: Feature based dynamic Bayesian models for abnormality detection—0
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning—0
Self-contained Beta-with-Spikes Approximation for Inference Under a Wright-Fisher Model—0
Self-Distilled Representation Learning for Time Series—0
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI—0
Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests—0
Self-Normalized Inference in (Quantile, Expected Shortfall) Regressions for Time Series—0
Self-Organization in Spontaneous Movements of Neonates generates Self-specifying Sensory Experiences—0
Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting—0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset—0
Self-Similarity Based Time Warping—0
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study—0
Isolating the impact of trading on grid frequency fluctuations—0
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework—0
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