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Showing 6926–6950 of 9169 papers

TitleStatusHype
Reverse Engineering Chemical Reaction Networks from Time Series Data—0
Cryptocurrency portfolio optimization with multivariate normal tempered stable processes and Foster-Hart risk—0
A Comparative Analysis of Machine Learning Methods for Lane Change Intention Recognition Using Vehicle Trajectory Data—0
Review of Clustering Methods for Functional Data—0
Review of Data-centric Time Series Analysis from Sample, Feature, and Period—0
Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators—0
Review on Causality Detection Based on Empirical Dynamic Modeling—0
Revisited Large Language Model for Time Series Analysis through Modality Alignment—0
Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability—0
Hydroelectric Generation Forecasting with Long Short Term Memory (LSTM) Based Deep Learning Model for Turkey—0
Revisiting Causality Inference in Memory-less Transition Networks—0
Revisiting clustering as matrix factorisation on the Stiefel manifold—0
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time Warping—0
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach—0
Cryptocurrency Market Consolidation in 2020--2021—0
Hydroclimatic time series features at multiple time scales—0
Revisiting Cont's Stylized Facts for Modern Stock Markets—0
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data—0
A Tale of Tail Covariances (and Diversified Tails)—0
FFAD: A Novel Metric for Assessing Generated Time Series Data Utilizing Fourier Transform and Auto-encoder—0
A Bag of Receptive Fields for Time Series Extrinsic Predictions—0
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint—0
Robust Estimation of Realized Correlation: New Insight about Intraday Fluctuations in Market Betas—0
RF-Based Low-SNR Classification of UAVs Using Convolutional Neural Networks—0
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data—0
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