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Showing 7801–7850 of 9169 papers

TitleStatusHype
Sinkhorn Divergence of Topological Signature Estimates for Time Series ClassificationCode0
Quick and Easy Time Series Generation with Established Image-based GANs—0
WaveletAE: A Wavelet-enhanced Autoencoder for Wind Turbine Blade Icing DetectionCode0
Actions Generation from Captions—0
RTbust: Exploiting Temporal Patterns for Botnet Detection on Twitter—0
Weighted Tensor Completion for Time-Series Causal InferenceCode0
Machine Learning of Time Series Using Time-delay Embedding and Precision Annealing—0
Adversarial Generation of Time-Frequency Features with application in audio synthesisCode0
Simulating extrapolated dynamics with parameterization networks—0
Low-pass filtering as Bayesian inference—0
Bayesian Nonparametric Adaptive Spectral Density Estimation for Financial Time Series—0
A Bayesian Deep Learning Framework for End-To-End Prediction of Emotion from Heartbeat—0
Investigating Recurrent Neural Network Memory Structures using Neuro-EvolutionCode0
Decentralized Flood Forecasting Using Deep Neural Networks—0
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time WarpingCode0
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting—0
Optimal Attack against Autoregressive Models by Manipulating the Environment—0
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden ConfoundersCode0
Unsupervised Prediction of Negative Health Events Ahead of Time—0
End-to-End Learned Early Classification of Time Series for In-Season Crop Type MappingCode0
Unsupervised Scalable Representation Learning for Multivariate Time SeriesCode0
A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms—0
Stochastic Gradient MCMC for Nonlinear State Space ModelsCode0
Time-Space tradeoff in deep learning models for crop classification on satellite multi-spectral image time series—0
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks—0
Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian ComputationCode0
Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM—0
Clustering Discrete-Valued Time Series—0
Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm—0
Portfolio Optimization under Fast Mean-reverting and Rough Fractional Stochastic Environment—0
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data—0
Recurrent Neural Filters: Learning Independent Bayesian Filtering Steps for Time Series PredictionCode0
Online Estimation of Multiple Dynamic Graphs in Pattern Sequences—0
Anomaly detection in the dynamics of web and social networksCode0
Explainable Failure Predictions with RNN Classifiers based on Time Series Data—0
Effective Combination of DenseNet andBiLSTM for Keyword Spotting—0
Kernel Change-point Detection with Auxiliary Deep Generative ModelsCode0
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference—0
Efficient Matrix Profile Computation Using Different Distance FunctionsCode0
lassopack: Model selection and prediction with regularized regression in Stata—0
Synthesising a Database of Parameterised Linear and Non-Linear Invariants for Time-Series Constraints—0
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial NetworksCode0
Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models—0
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network MethodologyCode0
Forecasting Granular Audience Size for Online Advertising—0
Generative Adversarial Networks for Financial Trading Strategies Fine-Tuning and Combination—0
Causal Discovery with Attention-Based Convolutional Neural NetworksCode0
A unified framework of epidemic spreading prediction by empirical mode decomposition based ensemble learning techniques—0
A CNN adapted to time series for the classification of SupernovaeCode0
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class ClassificationCode0
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