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Showing 6551–6600 of 9169 papers

TitleStatusHype
Airflow recovery from thoracic and abdominal movements using Synchrosqueezing Transform and Locally Stationary Gaussian Process Regression—0
Community recovery in non-binary and temporal stochastic block modelsCode0
Spatiotemporal Attention for Multivariate Time Series Prediction and InterpretationCode0
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone—0
A Deep Learning Approach for COVID-19 Trend Prediction—0
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach—0
Analysis of Thai Capital Market Linkages: Part I. Bivariate Copula ApproachCode0
Application of the Non-Hermitian Singular Spectrum Analysis to the exponential retrieval problem—0
Deep Learning Based on Generative Adversarial and Convolutional Neural Networks for Financial Time Series Predictions—0
Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and ApplicationCode1
k-means on Positive Definite Matrices, and an Application to Clustering in Radar Image SequencesCode0
COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning—0
From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growthCode0
Modeling of time series using random forests: theoretical developments—0
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention—0
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation—0
Remote atrial fibrillation burden estimation using deep recurrent neural network—0
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0—0
Central object segmentation by deep learning for fruits and other roundish objectsCode0
Ubicomp Digital 2020 -- Handwriting classification using a convolutional recurrent network—0
Conditional Latent Block Model: a Multivariate Time Series Clustering Approach for Autonomous Driving ValidationCode0
Principles and Algorithms for Forecasting Groups of Time Series: Locality and GlobalityCode1
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction—0
Score-informed Networks for Music Performance AssessmentCode1
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their InteractionsCode0
An Empirical Survey of Data Augmentation for Time Series Classification with Neural NetworksCode1
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic ForecastingCode1
Prediction of hierarchical time series using structured regularization and its application to artificial neural networks—0
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models—0
Rethinking Recurrent Neural Networks and Other Improvements for Image ClassificationCode1
Random Forests for dependent dataCode1
Multioutput Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard AssessmentCode0
Calibration of Google Trends Time SeriesCode1
Benchmarking Multivariate Time Series Classification Algorithms—0
Deep CHORES: Estimating Hallmark Measures of Physical Activity Using Deep Learning—0
Regularized Flexible Activation Function Combinations for Deep Neural Networks—0
Multi-stream RNN for Merchant Transaction Prediction—0
Graph Gamma Process Generalized Linear Dynamical SystemsCode0
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using TwitterCode0
Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection—0
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor dataCode1
Multinomial Sampling for Hierarchical Change-Point Detection—0
bootUR: An R Package for Bootstrap Unit Root Tests—0
Hide-and-Seek Privacy ChallengeCode0
A Novel Ensemble Deep Learning Model for Stock Prediction Based on Stock Prices and News—0
Deep Dynamic Factor ModelsCode1
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture—0
Fused-Lasso Regularized Cholesky Factors of Large Nonstationary Covariance Matrices of Longitudinal DataCode0
Shape-CD: Change-Point Detection in Time-Series Data with Shapes and Neurons—0
Towards Social & Engaging Peer Learning: Predicting Backchanneling and Disengagement in Children—0
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