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Showing 6201–6250 of 9169 papers

TitleStatusHype
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series—0
Ordinal Synchronization: Using ordinal patterns to capture interdependencies between time series—0
Ordinal time series analysis with the R package otsfeatures—0
Orthogonal Echo State Networks and stochastic evaluations of likelihoods—0
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey—0
Oscillations enhance time-series prediction in reservoir computing with feedback—0
Improved graph-based SFA: Information preservation complements the slowness principle—0
Improved Genetic Algorithm Based on Greedy and Simulated Annealing Ideas for Vascular Robot Ordering Strategy—0
OTW: Optimal Transport Warping for Time Series—0
Outliagnostics: Visualizing Temporal Discrepancy in Outlying Signatures of Data Entries—0
Outlier Detection as Instance Selection Method for Feature Selection in Time Series Classification—0
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance—0
Equivalence relations and L^p distances between time series with application to the Black Summer Australian bushfires—0
Data Augmentation for Multivariate Time Series Classification: An Experimental Study—0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
Out-of-Sample Extension for Dimensionality Reduction of Noisy Time Series—0
Overcoming limited battery data challenges: A coupled neural network approach—0
Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation—0
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction—0
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks—0
Improved FRQI on superconducting processors and its restrictions in the NISQ era—0
Improved Dynamic Time Warping (DTW) Approach for Online Signature Verification—0
Data Anomaly Detection for Structural Health Monitoring of Bridges using Shapelet Transform—0
Improved Batching Strategy For Irregular Time-Series ODE—0
Impression-Informed Multi-Behavior Recommender System: A Hierarchical Graph Attention Approach—0
PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series—0
Darts: User-Friendly Modern Machine Learning for Time Series—0
Panel Data Estimation and Inference: Homogeneity versus Heterogeneity—0
A Time-Series Distribution Test System Based on Real Utility Data—0
Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models—0
Imposing Connectome-Derived Topology on an Echo State Network—0
Importance attribution in neural networks by means of persistence landscapes of time series—0
DANTE: A framework for mining and monitoring darknet traffic—0
Parallel Machine Learning for Forecasting the Dynamics of Complex Networks—0
Photonic reservoir computer based on frequency multiplexing—0
Parallel Spatio-Temporal Attention-Based TCN for Multivariate Time Series Prediction—0
Parameter-Covariance Maximum Likelihood Estimation—0
Implicit Reasoning in Deep Time Series Forecasting—0
DANNTe: a case study of a turbo-machinery sensor virtualization under domain shift—0
Parameter Estimation in Quantum Metrology Technique for Time Series Prediction—0
Parameter fine-tuning method for MMG model using real-scale ship data—0
Estimating covariant Lyapunov vectors from data—0
A time series distance measure for efficient clustering of input output signals by their underlying dynamics—0
Parameter Inference of Time Series by Delay Embeddings and Learning Differentiable Operators—0
Pets: General Pattern Assisted Architecture For Time Series Analysis—0
Parameterization of state duration in Hidden semi-Markov Models: an application in electrocardiography—0
Parameterizing the cost function of Dynamic Time Warping with application to time series classification—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
Parametric measures of variability induced by risk measures—0
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting—0
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