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Showing 3401–3450 of 9169 papers

TitleStatusHype
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks—0
Fast-Slow Streamflow Model Using Mass-Conserving LSTM—0
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction—0
Fast strategies for multi-temporal speckle reduction of Sentinel-1 GRD images—0
Fast Training Algorithms for Deep Convolutional Fuzzy Systems with Application to Stock Index Prediction—0
Fast Transient Stability Prediction Using Grid-informed Temporal and Topological Embedding Deep Neural Network—0
Detrended partial cross-correlation analysis of two nonstationary time series influenced by common external forces—0
Deterministic Reservoir Computing for Chaotic Time Series Prediction—0
Fault Detection in Mobile Networks Using Diffusion Models—0
Fault Diagnosis Method Based on Scaling Law for On-line Refrigerant Leak Detection—0
Fault Diagnosis of Inter-turn Short Circuit in Permanent Magnet Synchronous Motors with Current Signal Imaging and Unsupervised Learning—0
Determining the Optimal Number of Clusters for Time Series Datasets with Symbolic Pattern Forest—0
BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data—0
Changes to the extreme and erratic behaviour of cryptocurrencies during COVID-19—0
Cluster-based Feature Importance Learning for Electronic Health Record Time-series—0
Approximation of RKHS Functionals by Neural Networks—0
Adversarially learned anomaly detection for time series data—0
Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models—0
Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data—0
Clustering Activity-Travel Behavior Time Series using Topological Data Analysis—0
Bayesian forecast combination using time-varying features—0
Feature-Based Echo-State Networks: A Step Towards Interpretability and Minimalism in Reservoir Computer—0
Feature-based time-series analysis—0
Determination of the effective cointegration rank in high-dimensional time-series predictive regressions—0
Feature Construction and Selection for PV Solar Power Modeling—0
Feature Engineering Methods on Multivariate Time-Series Data for Financial Data Science Competitions—0
Clustering Financial Time Series: How Long is Enough?—0
A Predictive Autoscaler for Elastic Batch Jobs—0
Feature Importance for Time Series Data: Improving KernelSHAP—0
Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing—0
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems—0
Bayesian Time Series Forecasting with Change Point and Anomaly Detection—0
Clustering individuals based on multivariate EMA time-series data—0
A Predictive Online Transient Stability Assessment with Hierarchical Generative Adversarial Networks—0
Feature-Set-Engineering for Detecting Freezing of Gait in Parkinson's Disease using Deep Recurrent Neural Networks—0
Features Fusion Framework for Multimodal Irregular Time-series Events—0
Deterioration Prediction using Time-Series of Three Vital Signs and Current Clinical Features Amongst COVID-19 Patients—0
Features of the Earth's seasonal hydroclimate: Characterizations and comparisons across the Koppen-Geiger climates and across continents—0
Features or Shape? Tackling the False Dichotomy of Time Series Classification—0
A Primal-Dual Framework for Transformers and Neural Networks—0
Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves—0
Bayesian Time-Series Classifier for Decoding Simple Visual Stimuli from Intracranial Neural Activity—0
A new membership inference attack that spots memorization in generative and predictive models: Loss-Based with Reference Model algorithm (LBRM)—0
A conditional likelihood is required to estimate the selection coefficient in ancient DNA—0
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network—0
The amplitude modulation pattern of Gaussian noise is a fingerprint of Gaussianity—0
Adaptive Inducing Points Selection For Gaussian Processes—0
Clustering of Time Series Data with Prior Geographical Information—0
Detection of Anomalies in Multivariate Time Series Using Ensemble Techniques—0
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