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Showing 8251–8300 of 9169 papers

TitleStatusHype
Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain FeaturesCode0
One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks—0
ReNN: Rule-embedded Neural Networks—0
End-to-End Fine-Grained Action Segmentation and Recognition Using Conditional Random Field Models and Discriminative Sparse Coding—0
Nonlinear Dimensionality Reduction on Graphs—0
Spurious seasonality detection: a non-parametric test proposal—0
Empirical observations of ultraslow diffusion driven by the fractional dynamics in languages: Dynamical statistical properties of word counts of already popular words—0
Non-parametric Sparse Additive Auto-regressive Network Models—0
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data—0
News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions—0
Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs—0
Fractal analyses of networks of integrate-and-fire stochastic spiking neurons—0
A First Option Calibration of the GARCH Diffusion Model by a PDE Method—0
Large-Scale Simulation of Multi-Asset Ising Financial Markets—0
Invariants of multidimensional time series based on their iterated-integral signature—0
Seismic-Net: A Deep Densely Connected Neural Network to Detect Seismic Events—0
Time Series Segmentation through Automatic Feature Learning—0
Deep Canonically Correlated LSTMs—0
Brain EEG Time Series Selection: A Novel Graph-Based Approach for Classification—0
Cost-Sensitive Convolution based Neural Networks for Imbalanced Time-Series Classification—0
Non Intrusive Load Monitoring in Chaotic Switching Networks—0
Deep Classification of Epileptic Signals—0
Multivariate Bayesian Structural Time Series Model—0
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
Relational Multi-Instance Learning for Concept Annotation from Medical Time Series—0
Recurrent Auto-Encoder Model for Multidimensional Time Series Representation—0
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
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
Dropout Feature Ranking for Deep Learning ModelsCode0
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity—0
Estimating activity cycles with probabilistic methods II. The Mount Wilson Ca H&K data—0
Multi-task learning of time series and its application to the travel demand—0
Contemporary machine learning: a guide for practitioners in the physical sciences—0
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