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Time Series

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Showing 5951–6000 of 9169 papers

TitleStatusHype
A Comparative Study of Detecting Anomalies in Time Series Data Using LSTM and TCN Models—0
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine—0
NourishNet: Proactive Severity State Forecasting of Food Commodity Prices for Global Warning Systems—0
Improving performance of heart rate time series classification by grouping subjects—0
Novel Fourier Quadrature Transforms and Analytic Signal Representations for Nonlinear and Non-stationary Time Series Analysis—0
Novel semi-metrics for multivariate change point analysis and anomaly detection—0
Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series—0
Novel techniques for improving NNetEn entropy calculation for short and noisy time series—0
Novelty Detection in Time Series via Weak Innovations Representation: A Deep Learning Approach—0
Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model—0
EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling—0
Nowcasting of COVID-19 confirmed cases: Foundations, trends, and challenges—0
Nowcasting the Financial Time Series with Streaming Data Analytics under Apache Spark—0
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading—0
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series—0
Data-Driven Cellular Network Selector for Vehicle Teleoperations—0
Improving Optimization in Models With Continuous Symmetry Breaking—0
Case Studies of Causal Discovery from IT Monitoring Time Series—0
Improving Optimization for Models With Continuous Symmetry Breaking—0
Numerical approximation of hybrid Poisson-jump Ait-Sahalia-type interest rate model with delay—0
Data-Driven Approach for Uncertainty Propagation and Reachability Analysis in Dynamical Systems—0
NuwaTS: a Foundation Model Mending Every Incomplete Time Series—0
Analysis and Predictive Modeling of Solar Coronal Holes Using Computer Vision and ARIMA-LSTM Networks—0
Nyström Regularization for Time Series Forecasting—0
Empirical facts characterizing banking crises: an analysis via binary time series—0
Objective Evaluation of Deep Visual Interpretations on Time Series Data—0
Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning—0
Object recognition for robotics from tactile time series data utilising different neural network architectures—0
Observation Error Covariance Specification in Dynamical Systems for Data assimilation using Recurrent Neural Networks—0
Obstacle-Transformer: A Trajectory Prediction Network Based on Surrounding Trajectories—0
On Lyapunov exponents and adversarial perturbation—0
Empirical Quantitative Analysis of COVID-19 Forecasting Models—0
Empirical Risk Minimization for Time Series: Nonparametric Performance Bounds for Prediction—0
ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines—0
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs—0
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting—0
Improving Neuroevolution Using Island Extinction and Repopulation—0
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models—0
Off-the-Shelf Neural Network Architectures for Forex Time Series Prediction come at a Cost—0
OFTER: An Online Pipeline for Time Series Forecasting—0
Data-driven Air Quality Characterisation for Urban Environments: a Case Study—0
AtOMICS: A neural network-based Automated Optomechanical Intelligent Coupling System for testing and characterization of silicon photonics chiplets—0
Empowering Time Series Analysis with Synthetic Data: A Survey and Outlook in the Era of Foundation Models—0
Omni-Dimensional Frequency Learner for General Time Series Analysis—0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
On a Dissimilarity Metric for Analyzing Body Synergistic Coordination in Non-Periodic Motion—0
On Adversarial Vulnerability of PHM algorithms: An Initial Study—0
On a novel training algorithm for sequence-to-sequence predictive recurrent networks—0
On Arrhythmia Detection by Deep Learning and Multidimensional Representation—0
Improving MF-DFA model with applications in precious metals market—0
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