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Showing 7826–7850 of 9169 papers

TitleStatusHype
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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