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Showing 6701–6725 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
The Canonical Interval Forest (CIF) Classifier for Time Series Classification—0
Exact Tests for Offline Changepoint Detection in Multichannel Binary and Count Data with Application to Networks—0
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting—0
Reforming the State-Based Forward Guidance through Wage Growth Rate Threshold: Evidence from FRB/US SimulationsCode0
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting—0
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
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