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Showing 4276–4300 of 9169 papers

TitleStatusHype
Optimal Cross-Correlation Estimates from Asynchronous Tick-by-Tick Trading Data—0
TKN: Transformer-based Keypoint Prediction Network For Real-time Video Prediction—0
Causal Discovery from Temporal Data: An Overview and New Perspectives—0
BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns—0
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset—0
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations—0
Arbitrary Order Meta-Learning with Simple Population-Based Evolution—0
Entropy of financial time series due to the shock of war—0
Deep incremental learning models for financial temporal tabular datasets with distribution shifts—0
FPTN: Fast Pure Transformer Network for Traffic Flow Forecasting—0
Forecasting COVID-19 Infections in Gulf Cooperation Council (GCC) Countries using Machine Learning—0
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimatesCode0
Optimal Sampling Designs for Multi-dimensional Streaming Time Series with Application to Power Grid Sensor Data—0
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport—0
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study—0
Inflation forecasting with attention based transformer neural networks—0
Mobile Mapping Mesh Change Detection and Update—0
Hybrid Variational Autoencoder for Time Series Forecasting—0
A Fourier Transform Approach for Automatic Detection of Oysters Spawning—0
Machine Learning Enhanced Hankel Dynamic-Mode Decomposition—0
Accurate Prediction of Global Mean Temperature through Data Transformation Techniques—0
Explainable AI for Time Series via Virtual Inspection Layers—0
A Novel Method Combines Moving Fronts, Data Decomposition and Deep Learning to Forecast Intricate Time Series—0
On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM SignalsCode0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
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