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Showing 4351–4400 of 9169 papers

TitleStatusHype
Entropy Analysis of Financial Time Series—0
Causal Inference from Slowly Varying Nonstationary Processes—0
A Novel Multi-Stage Training Approach for Human Activity Recognition from Multimodal Wearable Sensor Data Using Deep Neural Network—0
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis—0
Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting—0
Causal Inference on Time Series using Restricted Structural Equation Models—0
Causal Inference on Investment Constraints and Non-stationarity in Dynamic Portfolio Optimization through Reinforcement Learning—0
A Novel Multiple Interval Prediction Method for Electricity Prices based on Scenarios Generation: Definition and Method—0
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting—0
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality—0
Ensemble of Hankel Matrices for Face Emotion Recognition—0
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals—0
Scenarios Generation-based Multiple Interval Prediction Method for Electricity Prices—0
Adaptable Hamiltonian neural networks—0
Ensemble neuroevolution based approach for multivariate time series anomaly detection—0
Causal Inference from Slowly Varying Nonstationary Processes—0
Ensemble Grammar Induction For Detecting Anomalies in Time Series—0
Causal Inference for Time series Analysis: Problems, Methods and Evaluation—0
A Novel Multi-Centroid Template Matching Algorithm and Its Application to Cough Detection—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
Ensemble Deep Learning on Time-Series Representation of Tweets for Rumor Detection in Social Media—0
Causal inference for climate change events from satellite image time series using computer vision and deep learning—0
Ensemble Committees for Stock Return Classification and Prediction—0
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components—0
A novel method of fuzzy time series forecasting based on interval index number and membership value using support vector machine—0
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting—0
Causal Identification in Time Series Models—0
Enhancing Uncertainty Communication in Time Series Predictions: Insights and Recommendations—0
Causal Hierarchy in the Financial Market Network -- Uncovered by the Helmholtz-Hodge-Kodaira Decomposition—0
A Novel Method for Stock Forecasting based on Fuzzy Time Series Combined with the Longest Common/Repeated Sub-sequence—0
Enhancing Transformer Efficiency for Multivariate Time Series Classification—0
Causal Hidden Markov Model for Time Series Disease Forecasting—0
Causal Graph Recovery in Neuroimaging through Answer Set Programming—0
A Novel Method Combines Moving Fronts, Data Decomposition and Deep Learning to Forecast Intricate Time Series—0
Aggregating time-series and image data: functors and double functors—0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks—0
Accelerated Sub-Image Search For Variable-Size Patches Identification Based On Virtual Time Series Transformation And Segmentation—0
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning—0
Quantile Convolutional Neural Networks for Value at Risk Forecasting—0
Inferring Global Dynamics of a Black-Box System Using Machine Learning—0
Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model—0
Enhancing Time Series Forecasting via Logic-Inspired Regularization—0
Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers—0
Causal Graph Discovery from Self and Mutually Exciting Time Series—0
Enhancing Startup Success Predictions in Venture Capital: A GraphRAG Augmented Multivariate Time Series Method—0
Application of Time-Aware PC algorithm to compute Causal Functional Connectivity in Alzheimer's Disease from fMRI data—0
A Novel Markov Model for Near-Term Railway Delay Prediction—0
Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints—0
A geometric approach to conditioning belief functions—0
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators—0
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