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Showing 8001–8050 of 9169 papers

TitleStatusHype
Anomaly Detection with Generative Adversarial Networks for Multivariate Time SeriesCode0
A Time Series Graph Cut Image Segmentation Scheme for Liver Tumors—0
Temporal Pattern Attention for Multivariate Time Series ForecastingCode0
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data—0
Memristive LSTM network hardware architecture for time-series predictive modeling problem—0
Order book model with herd behavior exhibiting long-range memoryCode0
Constrained Generation of Semantically Valid Graphs via Regularizing Variational AutoencodersCode0
Revisiting Inaccuracies of Time Series Averaging under Dynamic Time Warping—0
Change-Point Testing for Risk Measures in Time Series—0
A Memory-Network Based Solution for Multivariate Time-Series ForecastingCode0
From FATS to feets: Further improvements to an astronomical feature extraction tool based on machine learning—0
One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computing—0
MASA: Motif-Aware State Assignment in Noisy Time Series DataCode0
Bayesian Nonparametric Spectral EstimationCode0
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters—0
Scalable Learning in Reproducing Kernel Krein Spaces—0
VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading—0
A Deep Learning Spatiotemporal Prediction Framework for Mobile Crowdsourced Services—0
Complete Inference of Causal Relations between Dynamical SystemsCode0
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results—0
Elastic bands across the path: A new framework and methods to lower bound DTWCode0
Exponential inequalities for nonstationary Markov Chains—0
Testing of Binary Regime Switching Models using Squeeze Duration Analysis—0
Predicting Extubation Readiness in Extreme Preterm Infants based on Patterns of Breathing—0
SeriesNet:A Generative Time Series Forecasting Model—0
Optimizing the Union of Intersections LASSO (UoI_LASSO) and Vector Autoregressive (UoI_VAR) Algorithms for Improved Statistical Estimation at Scale—0
Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks—0
Data Consistency Approach to Model ValidationCode0
Short-term load forecasting using optimized LSTM networks based on EMD—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
LARNN: Linear Attention Recurrent Neural NetworkCode0
Deep Learning for Energy Markets—0
Study of Set-Membership Adaptive Kernel Algorithms—0
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction—0
A Consistent Method for Learning OOMs from Asymptotically Stationary Time Series Data Containing Missing Values—0
Data augmentation using synthetic data for time series classification with deep residual networksCode0
OptStream: Releasing Time Series Privately—0
Predicting Learning Status in MOOCs using LSTM—0
A Learning-Based Framework for Two-Dimensional Vehicle Maneuver Prediction over V2V Networks—0
Mod-DeepESN: Modular Deep Echo State Network—0
Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model—0
Modeling joint probability distribution of yield curve parameters—0
On the use of Singular Spectrum Analysis—0
Dynamical Component Analysis (DyCA): Dimensionality Reduction For High-Dimensional Deterministic Time-Series—0
Entropy Analysis of Financial Time Series—0
A Capsule Network for Traffic Speed Prediction in Complex Road NetworksCode0
Deep Learning for Epidemiological Predictions—0
Methods of nonlinear dynamics and the construction of cryptocurrency crisis phenomena precursors—0
Approximate Collapsed Gibbs Clustering with Expectation Propagation—0
Rapid Time Series Prediction with a Hardware-Based Reservoir Computer—0
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