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Showing 6101–6150 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
The data synergy effects of time-series deep learning models in hydrology—0
Do We Really Need Deep Learning Models for Time Series Forecasting?Code1
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
Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural NetworksCode1
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series—0
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion—0
"Hey, that's not an ODE'": Faster ODE Adjoints with 12 Lines of Code—0
Graph Edit NetworksCode0
GenAD: General Representations of Multivariate Time Series for Anomaly Detection—0
Using Synthetic Data to Improve the Long-range Forecasting of Time Series Data—0
CLARE-GAN: GENERATION OF CLASS-SPECIFIC TIME SERIES—0
Anomaly detection and regime searching in fitness-tracker data—0
MODALS: Modality-agnostic Automated Data Augmentation in the Latent SpaceCode1
Recurrent Neural Network Architecture based on Dynamic Systems Theory for Data Driven Modelling of Complex Physical Systems—0
A Multi-Modal and Multitask Benchmark in the Clinical Domain—0
Generative Time-series Modeling with Fourier Flows—0
Time Series Counterfactual Inference with Hidden Confounders—0
Anomaly detection in dynamical systems from measured time series—0
Latent Space Semi-Supervised Time Series Data Clustering—0
Latent Convergent Cross Mapping—0
Jumpy Recurrent Neural Networks—0
Symmetry-Augmented Representation for Time Series—0
Sparsifying Networks via Subdifferential Inclusion—0
An Euler-based GAN for time series—0
Transitional Dynamics of the Saving Rate and Economic Growth—0
How to Identify Investor's types in real financial markets by means of agent based simulation—0
Indirect Measurement of Hepatic Drug Clearance by Fitting Dynamical Models—0
Ensembles of Localised Models for Time Series ForecastingCode1
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