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Showing 6101–6125 of 9169 papers

TitleStatusHype
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data with Spatial Information—0
Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro DataCode1
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis—0
General Hannan and Quinn Criterion for Common Time Series—0
Condition Assessment of Stay Cables through Enhanced Time Series Classification Using a Deep Learning ApproachCode0
Challenges and approaches to time-series forecasting in data center telemetry: A Survey—0
Time-Series Regeneration with Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation—0
Predicting Patient Outcomes with Graph Representation LearningCode1
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series—0
Data Normalization for Bilinear Structures in High-Frequency Financial Time-seriesCode1
Bootstrapping Non-Stationary Stochastic Volatility—0
Large-scale Augmented Granger Causality (lsAGC) for Connectivity Analysis in Complex Systems: From Computer Simulations to Functional MRI (fMRI)—0
Machine learning based automated identification of thunderstorms from anemometric records using shapelet transform—0
FlashP: An Analytical Pipeline for Real-time Forecasting of Time-Series Relational Data—0
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection—0
Do We Really Need Deep Learning Models for Time Series Forecasting?Code1
The data synergy effects of time-series deep learning models in hydrology—0
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models—0
Large-Scale Extended Granger Causality for Classification of Marijuana Users From Functional MRI—0
A Trainable Reconciliation Method for Hierarchical Time-Series—0
Data-Driven Copy-Paste Imputation for Energy Time SeriesCode0
Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data—0
Parkinson's Disease Diagnosis Using Deep Learning—0
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network—0
Dynamics, behaviours, and anomaly persistence in cryptocurrencies and equities surrounding COVID-19—0
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