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Showing 2726–2750 of 9169 papers

TitleStatusHype
Discovering Hidden Physics Behind Transport Dynamics—0
Blending Low and High-Level Semantics of Time Series for Better Masked Time Series Generation—0
An LSTM-Based Predictive Monitoring Method for Data with Time-varying Variability—0
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space—0
Blind Deinterleaving of Signals in Time Series with Self-attention Based Soft Min-cost Flow Learning—0
Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting—0
Doubly Robust Structure Identification from Temporal Data—0
Blitzkriging: Kronecker-structured Stochastic Gaussian Processes—0
Discovering group dynamics in coordinated time series via hierarchical recurrent switching-state models—0
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution—0
Downsampling and geometric feature methods for EEG classification tasks with CNNs—0
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets—0
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting—0
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning—0
Empirical analysis of daily cash flow time series and its implications for forecasting—0
Drift-Adjusted And Arbitrated Ensemble Framework For Time Series Forecasting—0
Drift Identification for Lévy alpha-Stable Stochastic Systems—0
Empirical facts characterizing banking crises: an analysis via binary time series—0
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification—0
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data—0
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference—0
BLUnet: Arithmetic-free Inference with Bit-serialised Table Lookup Operation for Efficient Deep Neural Networks—0
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction—0
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects—0
Direct Method for Training Feed-forward Neural Networks using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions—0
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