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Showing 5551–5600 of 9169 papers

TitleStatusHype
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned—0
Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting—0
A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection—0
Identifying On-road Scenarios Predictive of ADHD usingDriving Simulator Time Series Data—0
Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series—0
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks—0
Model-Based Reinforcement Learning via Stochastic Hybrid Models—0
Benefit-aware Early Prediction of Health Outcomes on Multivariate EEG Time Series—0
Soft Sensing Transformer: Hundreds of Sensors are Worth a Single WordCode0
American Hate Crime Trends Prediction with Event Extraction—0
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting—0
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility informationCode0
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions—0
Mimic: An adaptive algorithm for multivariate time series classification—0
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters—0
Stock Portfolio Optimization Using a Deep Learning LSTM Model—0
A toolkit for data-driven discovery of governing equations in high-noise regimesCode0
CoughTrigger: Earbuds IMU Based Cough Detection Activator Using An Energy-efficient Sensitivity-prioritized Time Series Classifier—0
Use of 1D-CNN for input data size reduction of LSTM in Hourly Rainfall-Runoff modeling—0
DVS: Deep Visibility Series and its Application in Construction Cost Index Forecasting—0
Meta-Forecasting by combining Global Deep Representations with Local Adaptation—0
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time SeriesCode0
Roadmap on Signal Processing for Next Generation Measurement Systems—0
Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice—0
Time Series Comparisons in Deep Space Network—0
A Modified Dynamic Time Warping (MDTW) Approach and Innovative Average Non-Self Match Distance (ANSD) Method for Anomaly Detection in ECG Recordings—0
Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models—0
A novel rule-based evolving Fuzzy System applied to the thermal modeling of power transformersCode0
Brain dynamics via Cumulative Auto-Regressive Self-Attention—0
Metaphor Development in Public Discourse Using an ARIMA Time Series Analysis Approach—0
Markus Thill Temporal convolutional autoencoder for unsupervised anomaly detection in time series—0
Continuous Convolutional Neural Networks: Coupled Neural PDE and ODE—0
ECG synthesis with Neural ODE and GAN models—0
Robust and efficient change point detection using novel multivariate rank-energy GoF test—0
Aligned Multi-Task Gaussian Process—0
Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations—0
Improved FRQI on superconducting processors and its restrictions in the NISQ era—0
Coresets for Time Series Clustering—0
Click-Based Student Performance Prediction: A Clustering Guided Meta-Learning Approach—0
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction ModelsCode0
Multi-Task Neural ProcessesCode0
Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic TomographyCode0
GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series—0
Forecasting with a Panel Tobit Model—0
Warped Dynamic Linear Models for Time Series of CountsCode0
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data—0
Validation Methods for Energy Time Series Scenarios from Deep Generative Models—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Cluster-and-Conquer: A Framework For Time-Series Forecasting—0
Data-Driven Time Series Reconstruction for Modern Power Systems Research—0
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