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Showing 7151–7200 of 9169 papers

TitleStatusHype
Differential Bayesian Neural Nets—0
Time-series Generative Adversarial Networks—0
Machine learning applications in time series hierarchical forecasting—0
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components AnalysisCode0
Shallow RNN: Accurate Time-series Classification on Resource Constrained DevicesCode0
ODE2VAE: Deep generative second order ODEs with Bayesian neural networksCode0
Legendre Memory Units: Continuous-Time Representation in Recurrent Neural NetworksCode1
Learning Representations for Time Series ClusteringCode0
Latent Ordinary Differential Equations for Irregularly-Sampled Time SeriesCode0
Time-series Generative Adversarial Networks—0
Training Distributed Deep Recurrent Neural Networks with Mixed Precision on GPU Clusters—0
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019—0
On model selection for scalable time series forecasting in transport networks—0
A Multilayered Block Network Model to Forecast Large Dynamic Transportation Graphs: an Application to US Air Transport—0
Analysis of Hydrological and Suspended Sediment Events from Mad River Watershed using Multivariate Time Series Clustering—0
Application of Time Series Analysis to Traffic Accidents in Los Angeles—0
AR-Net: A simple Auto-Regressive Neural Network for time-seriesCode2
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data—0
Topological Machine Learning for Multivariate Time SeriesCode0
A tale of two toolkits, report the second: bake off redux. Chapter 1. dictionary based classifiers—0
An Optimized and Energy-Efficient Parallel Implementation of Non-Iteratively Trained Recurrent Neural Networks—0
Network Intrusion Detection based on LSTM and Feature Embedding—0
TimeCaps: Capturing Time Series Data With Capsule NetworksCode0
Universal EEG Encoder for Learning Diverse Intelligent Tasks—0
A Time Series Analysis of Emotional Loading in Central Bank Statements—0
High-Dimensional Forecasting in the Presence of Unit Roots and Cointegration—0
Correlative Channel-Aware Fusion for Multi-View Time Series Classification—0
Functional Bayesian Filter—0
Modeling emotion in complex stories: the Stanford Emotional Narratives DatasetCode0
Economy Statistical Recurrent Units For Inferring Nonlinear Granger CausalityCode0
Differentiable Algorithm for Marginalising Changepoints—0
Deep Reinforcement Learning for Trading—0
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values—0
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior—0
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints—0
On the separation of shape and temporal patterns in time series -Application to signature authentication-Code0
Multi-Scale RCNN Model for Financial Time-series Classification—0
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM—0
A Scrambled Method of Moments—0
Robust Inference on Infinite and Growing Dimensional Time Series Regression—0
Cell Line Classification Using Electric Cell-substrate Impedance Sensing (ECIS)—0
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time SeriesCode0
Equivariant online predictions of non-stationary time series—0
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data—0
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationshipsCode0
Shapelets for earthquake detection—0
Action Recognition Using Volumetric Motion RepresentationsCode0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Bayesian Filtering for Multi-period Mean-Variance Portfolio Selection—0
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data—0
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