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Showing 4376–4400 of 9169 papers

TitleStatusHype
Deep Fusion of Lead-lag Graphs: Application to Cryptocurrencies—0
Automated Diagnosis of Epilepsy Employing Multifractal Detrended Fluctuation Analysis Based Features—0
Analyzing time series of unequal durations using Multidimensional Recurrence Quantification Analysis (MdRQA): validation and implementation using Python—0
DeepFolio: Convolutional Neural Networks for Portfolios with Limit Order Book Data—0
A comparison among some Hurst exponent approaches to predict nascent bubbles in 500 company stocks—0
DeepFIB: Self-Imputation for Time Series Anomaly Detection—0
Deep Federated Anomaly Detection for Multivariate Time Series Data—0
Automated Contrastive Learning Strategy Search for Time Series—0
Intrinsic Anomaly Detection for Multi-Variate Time Series—0
IntrinsicTimescales.jl: A Julia package to estimate intrinsic (neural) timescales (INTs) from time-series data—0
Deep Factors with Gaussian Processes for Forecasting—0
Deep Factors for Forecasting—0
Deep Factor Model: A Novel Approach for Motion Compensated Multi-Dimensional MRI—0
Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests—0
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework—0
Analyzing the Variations in Emergency Department Boarding and Testing the Transferability of Forecasting Models across COVID-19 Pandemic Waves in Hong Kong: Hybrid CNN-LSTM approach to quantifying building-level socioecological risk—0
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification—0
Deep Ensembles Meets Quantile Regression: Uncertainty-aware Imputation for Time Series—0
Autoencoding Time Series for Visualisation—0
A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting—0
Exploring the Role of Token in Transformer-based Time Series Forecasting—0
Introducing Data Primitives: Data Formats for the SKED Framework—0
Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions—0
Deep Echo State Networks for Diagnosis of Parkinson's Disease—0
Autoencoding for the 'Good Dictionary' of eigen pairs of the Koopman Operator—0
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