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Showing 7601–7650 of 9169 papers

TitleStatusHype
Stock Price Forecasting in Presence of Covid-19 Pandemic and Evaluating Performances of Machine Learning Models for Time-Series Forecasting—0
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality—0
Stationarity analysis of the stock market data and its application to mechanical trading—0
Stationarity of the detrended price return in stock markets—0
Stationarity of Time-Series on Graph via Bivariate Translation Invariance—0
Stationary Density Estimation of Itô Diffusions Using Deep Learning—0
Stationary Geometric Graphical Model Selection—0
Stationary Processes, Wiener-Granger Causality, and Matrix Spectral Factorization—0
StationPlot: A New Non-stationarity Quantification Tool for Detection of Epileptic Seizures—0
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators.—0
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting—0
Statistical and Computational Guarantees for the Baum-Welch Algorithm—0
Statistical and Economic Evaluation of Time Series Models for Forecasting Arrivals at Call Centers—0
Statistical Estimation for Covariance Structures with Tail Estimates using Nodewise Quantile Predictive Regression Models—0
Structured Estimation of Heterogeneous Time Series—0
Supervised classification-based stock prediction and portfolio optimization—0
Statistical inference of lead-lag at various timescales between asynchronous time series from p-values of transfer entropy—0
Statistical Inference with Stochastic Gradient Methods under φ-mixing Data—0
TCDformer-based Momentum Transfer Model for Long-term Sports Prediction—0
Statistically Significant Detection of Linguistic Change—0
Statistical Modeling and Forecasting of Automatic Generation Control Signals—0
Statistical modeling of isoform splicing dynamics from RNA-seq time series data—0
The statistical physics of discovering exogenous and endogenous factors in a chain of events—0
Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization—0
Statistical Properties of Deep Neural Networks with Dependent Data—0
Statistical Properties of the Entropy from Ordinal Patterns—0
HigeNet: A Highly Efficient Modeling for Long Sequence Time Series Prediction in AIOpsCode0
Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for Long-Term Wind Power PredictionCode0
Hierarchical Probabilistic Model for Blind Source Separation via Legendre TransformationCode0
Coupling Oceanic Observation Systems to Study Mesoscale Ocean DynamicsCode0
COSTI: a New Classifier for Sequences of Temporal IntervalsCode0
Hierarchical Attention-Based Recurrent Highway Networks for Time Series PredictionCode0
Hide-and-Seek Privacy ChallengeCode0
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosCode0
Cost-effective Interactive Attention Learning with Neural Attention ProcessCode0
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series ClassificationCode0
HERMES: Hybrid Error-corrector Model with inclusion of External Signals for nonstationary fashion time seriesCode0
Heart2Mind: Human-Centered Contestable Psychiatric Disorder Diagnosis System using Wearable ECG MonitorsCode0
Hawkes Process Based on Controlled Differential EquationsCode0
Correlated daily time series and forecasting in the M4 competitionCode0
A Multi-Horizon Quantile Recurrent ForecasterCode0
Harnessing the power of Topological Data Analysis to detect change points in time seriesCode0
Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation modelCode0
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial SensorsCode0
A Subspace Method for Time Series Anomaly Detection in Cyber-Physical SystemsCode0
HADL Framework for Noise Resilient Long-Term Time Series ForecastingCode0
Guidelines for Augmentation Selection in Contrastive Learning for Time Series ClassificationCode0
Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion TheoryCode0
CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary CodingCode0
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component AnalysisCode0
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