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Time Series

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Showing 5101–5150 of 9169 papers

TitleStatusHype
KnitCity: a machine learning-based, game-theoretical framework for prediction assessment and seismic risk policy design—0
GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data—0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
A walk through of time series analysis on quantum computers—0
DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing DataCode0
Neural Machine Translation for Fact-checking Temporal Claims—0
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation?Code0
Deep vs. Shallow Learning: A Benchmark Study in Low Magnitude Earthquake Detection—0
Incorporating Stock Market Signals for Twitter Stance DetectionCode0
Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation—0
Task Embedding Temporal Convolution Networks for Transfer Learning Problems in Renewable Power Time-Series ForecastCode0
Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell GenomicsCode0
Sparse-Group Log-Sum Penalized Graphical Model Learning For Time Series—0
COSTI: a New Classifier for Sequences of Temporal IntervalsCode0
Fuzzy Cognitive Maps and Hidden Markov Models: Comparative Analysis of Efficiency within the Confines of the Time Series Classification Task—0
Transformers in Time-series Analysis: A Tutorial—0
Triformer: Triangular, Variable-Specific Attentions for Long Sequence Multivariate Time Series Forecasting--Full Version—0
Digital Twin Framework for Time to Failure Forecasting of Wind Turbine Gearbox: A Concept—0
Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction—0
On the Use of Dimension Reduction or Signal Separation Methods for Nitrogen River Pollution Source Identification—0
Topological Signal Processing using the Weighted Ordinal Partition Network—0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization—0
Time Series Prediction by Multi-task GPR with Spatiotemporal Information TransformationCode0
Double Diffusion Maps and their Latent Harmonics for Scientific Computations in Latent Space—0
GDGRU-DTA: Predicting Drug-Target Binding Affinity Based on GNN and Double GRU—0
Quantum Bohmian Inspired Potential to Model Non-Gaussian Events and the Application in Financial Markets—0
Learning to Attack Powergrids with DERs—0
Large Scale Time-Series Representation Learning via Simultaneous Low and High Frequency Feature Bootstrapping—0
STC-IDS: Spatial-Temporal Correlation Feature Analyzing based Intrusion Detection System for Intelligent Connected Vehicles—0
Multi-sensor Suboptimal Fusion Student's t Filter—0
Dimension Reduction for time series with Variational AutoEncoders—0
AZ-whiteness test: a test for uncorrelated noise on spatio-temporal graphsCode0
On the semantics of big Earth observation data for land classification—0
Time Series Forecasting (TSF) Using Various Deep Learning Models—0
Grey Correlation Analysis of Transportation Carbon Emissions under the Background of Carbon Peak and Carbon Neutrality—0
Causal Analysis of Generic Time Series Data Applied for Market Prediction—0
NLP Based Anomaly Detection for Categorical Time Series—0
A data filling methodology for time series based on CNN and (Bi)LSTM neural networks—0
Changepoint Detection in Noisy Data Using a Novel Residuals Permutation-Based Method (RESPERM): Benchmarking and Application to Single Trial ERPsCode0
Learning Sequential Latent Variable Models from Multimodal Time Series DataCode0
Dirichlet Proportions Model for Hierarchically Coherent Probabilistic Forecasting—0
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting—0
A Convolutional-Attentional Neural Framework for Structure-Aware Performance-Score Synchronization—0
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential EquationsCode0
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors—0
STONet: A Neural-Operator-Driven Spatio-temporal Network—0
Benign Overfitting in Time Series Linear Models with Over-Parameterization—0
Time Series Clustering for Grouping Products Based on Price and Sales Patterns—0
An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions—0
Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach—0
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