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Showing 8001–8050 of 9169 papers

TitleStatusHype
Deep Learning for Energy Markets—0
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction—0
Study of Set-Membership Adaptive Kernel Algorithms—0
Interpretable Time Series Classification using All-Subsequence Learning and Symbolic Representations in Time and Frequency DomainsCode1
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
Quantifying Volatility Reduction in German Day-ahead Spot Market in the Period 2006 through 2016—0
Approximate Collapsed Gibbs Clustering with Expectation Propagation—0
Rapid Time Series Prediction with a Hardware-Based Reservoir Computer—0
Clustering Macroeconomic Time Series—0
To Post or Not to Post: Using Online Trends to Predict Popularity of Offline Content—0
A Data-Driven Approach for Predicting Vegetation-Related Outages in Power Distribution Systems—0
Assessment of electrical and infrastructure recovery in Puerto Rico following hurricane Maria using a multisource time series of satellite imagery—0
Scene Learning: Deep Convolutional Networks For Wind Power Prediction by Embedding Turbines into Grid Space—0
Time Series Deinterleaving of DNS Traffic—0
Analysis of Advisor Portfolio using Multivariate Time Series and Cosine Similarity—0
Inferring Multidimensional Rates of Aging from Cross-Sectional DataCode0
SVD-based Visualisation and Approximation for Time Series Data in Smart Energy Systems—0
A Stochastic Hybrid Framework for Driver Behavior Modeling Based on Hierarchical Dirichlet Process—0
Shortening Time Required for Adaptive Structural Learning Method of Deep Belief Network with Multi-Modal Data Arrangement—0
Adaptive Learning Method of Recurrent Temporal Deep Belief Network to Analyze Time Series Data—0
Knowledge Extracted from Recurrent Deep Belief Network for Real Time Deterministic Control—0
A deep learning architecture to detect events in EEG signals during sleepCode0
A Recurrent Neural Network Survival Model: Predicting Web User Return TimeCode0
Exploiting statistical dependencies of time series with hierarchical correlation reconstruction—0
Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal AnalysisCode0
Thresholded ConvNet Ensembles: Neural Networks for Technical Forecasting—0
Process Monitoring Using Maximum Sequence Divergence—0
Learning The Sequential Temporal Information with Recurrent Neural Networks—0
A Variational Time Series Feature Extractor for Action PredictionCode0
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks—0
Mining Illegal Insider Trading of Stocks: A Proactive Approach—0
Dynamic Prediction Length for Time Series with Sequence to Sequence Networks—0
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series—0
Deep Bayesian Nonparametric Tracking—0
Improving Optimization in Models With Continuous Symmetry Breaking—0
Accurate Uncertainties for Deep Learning Using Calibrated RegressionCode0
Sampling and Reconstruction of Signals on Product GraphsCode0
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