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Showing 8251–8300 of 9169 papers

TitleStatusHype
Data-driven forecasting of solar irradiance—0
Greenhouse: A Zero-Positive Machine Learning System for Time-Series Anomaly Detection—0
Assessing the effect of advertising expenditures upon sales: a Bayesian structural time series model—0
Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed PredictionCode0
Dilated Convolutional Neural Networks for Time Series ForecastingCode0
Neighbor-encoder—0
Modifying memories in a Recurrent Neural Network Unit—0
Bayesian Time Series Forecasting with Change Point and Anomaly Detection—0
Learning to Treat Sepsis with Multi-Output Gaussian Process Deep Recurrent Q-Networks—0
Learning temporal evolution of probability distribution with Recurrent Neural Network—0
Jiffy: A Convolutional Approach to Learning Time Series Similarity—0
Relational Multi-Instance Learning for Concept Annotation from Medical Time Series—0
Recurrent Auto-Encoder Model for Multidimensional Time Series Representation—0
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks—0
A Unified Method for First and Third Person Action Recognition—0
Recent Advances in Recurrent Neural Networks—0
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning—0
A Composite Quantile Fourier Neural Network for Multi-Step Probabilistic Forecasting of Nonstationary Univariate Time Series—0
An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework—0
Variational Bayes Estimation of Discrete-Margined Copula Models with Application to Time Series—0
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic ControlsCode0
Online Forecasting Matrix Factorization—0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
Dropout Feature Ranking for Deep Learning ModelsCode0
Multi-task learning of time series and its application to the travel demand—0
Estimating activity cycles with probabilistic methods II. The Mount Wilson Ca H&K data—0
Contemporary machine learning: a guide for practitioners in the physical sciences—0
Lost in Time: Temporal Analytics for Long-Term Video Surveillance—0
Multi-shot Pedestrian Re-identification via Sequential Decision Making—0
A Shapelet Transform for Multivariate Time Series Classification—0
Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things—0
Accurate Inference for Adaptive Linear ModelsCode0
Dynamic Boltzmann Machines for Second Order Moments and Generalized Gaussian Distributions—0
Experimental design trade-offs for gene regulatory network inference: an in silico study of the yeast Saccharomyces cerevisiae cell cycle—0
Spatial-temporal wind field prediction by Artificial Neural Networks—0
Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation AnalysisCode0
Temporal Stability in Predictive Process MonitoringCode0
Long-Range Correlation Underlying Childhood Language and Generative Models—0
Comparative analysis of criteria for filtering time series of word usage frequencies—0
Temporal Attention augmented Bilinear Network for Financial Time-Series Data AnalysisCode0
Learning User Intent from Action Sequences on Interactive Systems—0
TrueSkill Through Time: Revisiting the History of ChessCode0
Subset Selection and Summarization in Sequential Data—0
Random Projection Filter Bank for Time Series Data—0
Preventing Gradient Explosions in Gated Recurrent Units—0
Practical Data-Dependent Metric Compression with Provable Guarantees—0
Dynamic-Depth Context Tree Weighting—0
Discriminative State Space Models—0
Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories—0
A Neural Stochastic Volatility Model—0
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