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Showing 5051–5100 of 9169 papers

TitleStatusHype
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection—0
Forecasting of Non-Stationary Sales Time Series Using Deep Learning—0
Optimizing Returns Using the Hurst Exponent and Q Learning on Momentum and Mean Reversion Strategies—0
Signal Restoration and Channel Estimation for Channel Sounding with SDRs—0
Robust Constrained Multi-objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization—0
Interpretable Feature Engineering for Time Series Predictors using Attention Networks—0
Deep Direct Discriminative Decoders for High-dimensional Time-series Data AnalysisCode0
A Novel Markov Model for Near-Term Railway Delay Prediction—0
Individual Topology Structure of Eye Movement Trajectories—0
A Subspace Method for Time Series Anomaly Detection in Cyber-Physical SystemsCode0
Conformal Prediction with Temporal Quantile Adjustments—0
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts—0
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder—0
Persistent Homology of Coarse Grained State Space Networks—0
Neural Additive Models for Nowcasting—0
Classifying Human Activities using Machine Learning and Deep Learning Techniques—0
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow—0
Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data—0
Inferring extended summary causal graphs from observational time series—0
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints—0
Achieving Risk Control in Online Learning SettingsCode0
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems—0
Financial Time Series Data Augmentation with Generative Adversarial Networks and Extended Intertemporal Return Plots—0
Dependent Latent Class ModelsCode0
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics—0
Forecasting Solar Power Generation on the basis of Predictive and Corrective Maintenance Activities—0
Multi-scale Attention Flow for Probabilistic Time Series Forecasting—0
A Data Cube of Big Satellite Image Time-Series for Agriculture MonitoringCode0
TNN7: A Custom Macro Suite for Implementing Highly Optimized Designs of Neuromorphic TNNsCode0
Automated Mobility Context Detection with Inertial Signals—0
Joint cardiac T_1 mapping and cardiac function estimation using a deep manifold framework—0
Statistical Modeling and Forecasting of Automatic Generation Control Signals—0
Market-Based Asset Price Probability—0
Nonparametric Value-at-Risk via Sieve EstimationCode0
Modelling stellar activity with Gaussian process regression networksCode0
Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks—0
Unsupervised Driving Behavior Analysis using Representation Learning and Exploiting Group-based Training—0
Method of indirect estimation of default probability dynamics for industry-target segments according to the data of Bank of Russia—0
Characterization of electric consumers through an automated clustering pipeline—0
Inferring Density-Dependent Population Dynamics Mechanisms through Rate Disambiguation for Logistic Birth-Death ProcessesCode0
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs—0
On Designing Data Models for Energy Feature Stores—0
Deep Federated Anomaly Detection for Multivariate Time Series Data—0
Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction—0
Policy Choice in Time Series by Empirical Welfare Maximization—0
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance—0
Summary Markov Models for Event Sequences—0
Stock Price Prediction Based on Natural Language ProcessingCode0
Crop Type Identification for Smallholding Farms: Analyzing Spatial, Temporal and Spectral Resolutions in Satellite Imagery—0
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding—0
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