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Showing 8101–8150 of 9169 papers

TitleStatusHype
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives—0
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics—0
Structural Breaks in Time Series—0
Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective—0
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending—0
Towards a universal neural network encoder for time series—0
Foundations of Sequence-to-Sequence Modeling for Time Series—0
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders—0
Real-time regression analysis with deep convolutional neural networksCode0
30m resolution Global Annual Burned Area Mapping based on Landsat images and Google Earth Engine—0
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections—0
Using Quantum Mechanics to Cluster Time Series—0
Robustness of sentence length measures in written texts—0
COBRAS-TS: A new approach to Semi-Supervised Clustering of Time Series—0
Estimating Gradual-Emotional Behavior in One-Minute Videos with ESNs—0
An Evaluation of Classification and Outlier Detection Algorithms—0
Towards Experienced Anomaly Detector through Reinforcement Learning—0
Building Models for Biopathway Dynamics Using Intrinsic Dimensionality Analysis—0
Learning from multivariate discrete sequential data using a restricted Boltzmann machine model—0
Extended Vertical Lists for Temporal Pattern Mining from Multivariate Time Series—0
A posteriori multi-stage optimal trading under transaction costs and a diversification constraint—0
Deep Learning for Predicting Asset ReturnsCode0
On The Complexity of Sparse Label Propagation—0
A Data-Driven Approach for Modeling Stochasticity in Oil Market—0
Block-Structure Based Time-Series Models For Graph SequencesCode0
Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers—0
Econometric Modeling of Regional Electricity Spot Prices in the Australian Market—0
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery—0
A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM—0
Taylor's law for Human Linguistic SequencesCode0
Calibration-free B0 correction of EPI data using structured low rank matrix recovery—0
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly DetectionCode0
Deep Generative Networks For Sequence PredictionCode0
High Dimensional Time Series Generators—0
On Improving Deep Reinforcement Learning for POMDPs—0
Option Pricing under Fast-varying and Rough Stochastic Volatility—0
Detecting Concrete Abnormality Using Time-series Thermal Imaging and Supervised Learning—0
Predicting Cyber Events by Leveraging Hacker Sentiment—0
An interpretable LSTM neural network for autoregressive exogenous model—0
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEsCode0
Causal Inference via Kernel Deviance Measures—0
Model identification for ARMA time series through convolutional neural networks—0
Anomaly Detection for Industrial Big Data—0
Expressway visibility estimation based on image entropy and piecewise stationary time series analysis—0
Direct Estimation of Pharmacokinetic Parameters from DCE-MRI using Deep CNN with Forward Physical Model Loss—0
Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space—0
Real-time Air Pollution prediction model based on Spatiotemporal Big dataCode1
micompm: A MATLAB/Octave toolbox for multivariate independent comparison of observationsCode0
Novel Fourier Quadrature Transforms and Analytic Signal Representations for Nonlinear and Non-stationary Time Series Analysis—0
Spatial heterogeneity analyses identify limitations of epidemic alert systems: Monitoring influenza-like illness in France—0
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