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Showing 2251–2300 of 9169 papers

TitleStatusHype
A novel Reservoir Architecture for Periodic Time Series Prediction—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
Adaptable Hamiltonian neural networks—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
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality—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
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning—0
Causal Inference from Slowly Varying Nonstationary Processes—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
Causal inference for climate change events from satellite image time series using computer vision and deep learning—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
Aggregating time-series and image data: functors and double functors—0
Causal Identification in Time Series Models—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
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
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
Detection of Adversarial Physical Attacks in Time-Series Image Data—0
The amplitude modulation pattern of Gaussian noise is a fingerprint of Gaussianity—0
Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents—0
Differentiable Algorithm for Marginalising Changepoints—0
Causal Graph Discovery from Self and Mutually Exciting Time Series—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
A geometric approach to conditioning belief functions—0
A geometric analysis of nonlinear dynamics and its application to financial time series—0
Causal Feature Selection via Transfer Entropy—0
A novel hybrid model based on multi-objective Harris hawks optimization algorithm for daily PM2.5 and PM10 forecasting—0
A Novel Hybrid Framework for Hourly PM2.5 Concentration Forecasting Using CEEMDAN and Deep Temporal Convolutional Neural Network—0
Causal Disentanglement Hidden Markov Model for Fault Diagnosis—0
Causal Discovery with Stage Variables for Health Time Series—0
Accelerated solving of coupled, non-linear ODEs through LSTM-AI—0
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning—0
Agentic Retrieval-Augmented Generation for Time Series Analysis—0
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions—0
Detecting Hardly Visible Roads in Low-Resolution Satellite Time Series Data—0
Causal Discovery in Financial Markets: A Framework for Nonstationary Time-Series Data—0
A novel health risk model based on intraday physical activity time series collected by smartphones—0
Causal discovery in a complex industrial system: A time series benchmark—0
A Novel Granular-Based Bi-Clustering Method of Deep Mining the Co-Expressed Genes—0
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition—0
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