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Showing 6701–6750 of 9169 papers

TitleStatusHype
Forecasting with Multiple SeasonalityCode0
Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition—0
Koopman Mode Decomposition of Oscillatory Temperature Field inside a Room—0
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data—0
Gesture Recognition from Skeleton Data for Intuitive Human-Machine Interaction—0
Investigation of Flash Crash via Topological Data Analysis—0
Hybrid Deep Neural Networks to Infer State Models of Black-Box SystemsCode0
Comparative Computational Analysis of Global Structure in Canonical, Non-Canonical and Non-Literary Texts—0
Prediction of Hilbertian autoregressive processes : a Recurrent Neural Network approach—0
Photonic reservoir computer based on frequency multiplexing—0
Automated Model Selection for Time-Series Anomaly Detection—0
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning—0
Evaluating Machine Learning Models for the Fast Identification of Contingency Cases—0
Exact Tests for Offline Changepoint Detection in Multichannel Binary and Count Data with Application to Networks—0
The Canonical Interval Forest (CIF) Classifier for Time Series Classification—0
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting—0
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting—0
Reforming the State-Based Forward Guidance through Wage Growth Rate Threshold: Evidence from FRB/US SimulationsCode0
Augmenting Neural Differential Equations to Model Unknown Dynamical Systems with Incomplete State InformationCode0
Generative Adversarial Networks for Spatio-temporal Data: A Survey—0
Predicting Future Sales of Retail Products using Machine Learning—0
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting—0
A Formally Robust Time Series Distance Metric—0
RTFN: Robust Temporal Feature Network—0
Selecting Data Adaptive Learner from Multiple Deep Learners using Bayesian Networks—0
Extension of causal decomposition in the mutual complex dynamic process—0
Deep Neural Networks for automatic extraction of features in time series satellite images—0
Wavelet Denoising and Attention-based RNN-ARIMA Model to Predict Forex Price—0
Gait complexity assessed by detrended fluctuation analysis is sensitive to inconsistencies in stride time series: A modeling study—0
Neural Network-based Automatic Factor Construction—0
A Survey on Knowledge integration techniques with Artificial Neural Networks for seq-2-seq/time series models—0
Spectral Processing of COVID-19 Time-Series DataCode0
Image Processing Tools for Financial Time Series Classification—0
Learning low-frequency temporal patterns for quantitative tradingCode0
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
Comparative Analysis of the Hidden Markov Model and LSTM: A Simulative Approach—0
A Deep Learning Approach for COVID-19 Trend Prediction—0
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
k-means on Positive Definite Matrices, and an Application to Clustering in Radar Image SequencesCode0
Analysis of Thai Capital Market Linkages: Part I. Bivariate Copula ApproachCode0
COVID-19 mortality analysis from soft-data multivariate curve regression and machine learning—0
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention—0
Modeling of time series using random forests: theoretical developments—0
From the logistic-sigmoid to nlogistic-sigmoid: modelling the COVID-19 pandemic growthCode0
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation—0
A Causal-based Framework for Multimodal Multivariate Time Series Validation Enhanced by Unsupervised Deep Learning as an Enabler for Industry 4.0—0
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