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Showing 4151–4200 of 9169 papers

TitleStatusHype
A Winner-Take-All Approach to Emotional Neural Networks with Universal Approximation Property—0
Deep State Space Models for Time Series Forecasting—0
Deep Signature Statistics for Likelihood-free Time-series Models—0
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries—0
A windowed correlation based feature selection method to improve time series prediction of dengue fever cases—0
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves—0
An Empirical Study of the L2-Boost technique with Echo State Networks—0
Deep Sequence Modeling: Development and Applications in Asset Pricing—0
An empirical study of neural networks for trend detection in time series—0
Deep Sequence Learning for Accurate Gestational Age Estimation from a \$25 Doppler Device—0
A Wavelet, AR and SVM based hybrid method for short-term wind speed prediction—0
OptStream: Releasing Time Series Privately—0
Deep Reservoir Networks with Learned Hidden Reservoir Weights using Direct Feedback Alignment—0
A wavelet analysis of inter-dependence, contagion and long memory among global equity markets—0
Deep Reinforcement Learning for Trading—0
A Wave is Worth 100 Words: Investigating Cross-Domain Transferability in Time Series—0
Advancing Spatio-temporal Storm Surge Prediction with Hierarchical Deep Neural Networks—0
Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior—0
Individual Topology Structure of Eye Movement Trajectories—0
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks—0
Inference of High-dimensional Autoregressive Generalized Linear Models—0
Inferring the Graph of Networked Dynamical Systems under Partial Observability and Spatially Colored Noise—0
Deep Reinforcement Learning for Asset Allocation in US Equities—0
Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems—0
A walk through of time series analysis on quantum computers—0
A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse—0
Deep Recurrent Neural Networks for Time Series Prediction—0
An Empirical Study of Explainable AI Techniques on Deep Learning Models For Time Series Tasks—0
Advancing multivariate time series similarity assessment: an integrated computational approach—0
Deep Recurrent Neural Networks for mapping winter vegetation quality coverage via multi-temporal SAR Sentinel-1—0
Deep Recurrent Modelling of Granger Causality with Latent Confounding—0
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction—0
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters—0
A Visibility Graph Averaging Aggregation Operator—0
Indexing the Event Calculus with Kd-trees to Monitor Diabetes—0
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach—0
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting—0
A Video Recognition Method by using Adaptive Structural Learning of Long Short Term Memory based Deep Belief Network—0
DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data—0
Deep Q-network using reservoir computing with multi-layered readout—0
An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution—0
Independence clustering (without a matrix)—0
DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data—0
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems—0
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach—0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties—0
Deep Poisson gamma dynamical systems—0
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series—0
A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series—0
Independent Innovation Analysis for Nonlinear Vector Autoregressive Process—0
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