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Showing 7251–7300 of 9169 papers

TitleStatusHype
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
Time Series Classification: Lessons Learned in the (Literal) Field while Studying Chicken Behavior—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
Equivariant online predictions of non-stationary time series—0
Challenges with Extreme Class-Imbalance and Temporal Coherence: A Study on Solar Flare Data—0
Cell Line Classification Using Electric Cell-substrate Impedance Sensing (ECIS)—0
Object-based multi-temporal and multi-source land cover mapping leveraging hierarchical class relationshipsCode0
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time SeriesCode0
Shapelets for earthquake detection—0
Action Recognition Using Volumetric Motion RepresentationsCode0
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural NetworkCode0
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-AttentionCode0
Benchmarking time series classification -- Functional data vs machine learning approachesCode0
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series—0
DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data—0
Bayesian Filtering for Multi-period Mean-Variance Portfolio Selection—0
Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen PredictionCode0
Weather event severity prediction using buoy data and machine learning—0
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series—0
The Creation and Validation of Load Time Series for Synthetic Electric Power Systems—0
SMART: Skeletal Motion Action Recognition aTtack—0
Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in HealthcareCode0
Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series—A Case Study in Zhanjiang, China—0
Bayesian nonparametric discontinuity designCode0
Deep learning for clustering of multivariate clinical patient trajectories with missing valuesCode0
Robust Parameter-Free Season Length Detection in Time SeriesCode0
A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis—0
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatilityCode0
Modelling EHR timeseries by restricting feature interaction—0
Synthetic Event Time Series Health Data Generation—0
Self-supervised representation learning from electroencephalography signalsCode0
Real-Time Anomaly Detection for Advanced Manufacturing: Improving on Twitter's State of the Art—0
Generating an Explainable ECG Beat Space With Variational Auto-Encoders—0
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation NetworksCode0
Anomaly Detection for Industrial Control Systems Using Sequence-to-Sequence Neural NetworksCode0
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning—0
Time2Graph: Revisiting Time Series Modeling with Dynamic ShapeletsCode0
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge SolutionCode0
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP EventsCode0
Making Good on LSTMs' Unfulfilled Promise—0
SeismoGen: Seismic Waveform Synthesis Using Generative Adversarial Networks—0
Early Predictions for Medical Crowdfunding: A Deep Learning Approach Using Diverse Inputs—0
DeVLearn: A Deep Visual Learning Framework for Localizing Temporary Faults in Power Systems—0
Hierarchical Clustering for Smart Meter Electricity Loads based on Quantile Autocovariances—0
Discovering Invariances in Healthcare Neural Networks—0
Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control Systems—0
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