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Showing 7001–7050 of 9169 papers

TitleStatusHype
Robust multivariate and functional archetypal analysis with application to financial time series analysis—0
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift—0
An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework—0
Robustness of sentence length measures in written texts—0
Admissible Time Series Motif Discovery with Missing Data—0
KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction—0
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution—0
Deep Hedging, Generative Adversarial Networks, and Beyond—0
Automated regime detection in multidimensional time series data using sliced Wasserstein k-means clustering—0
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification—0
K-ARMA Models for Clustering Time Series Data—0
Deep Haar Scattering Networks in Pattern Recognition: A promising approach—0
Robust Projection based Anomaly Extraction (RPE) in Univariate Time-Series—0
DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior—0
Automated Real-time Anomaly Detection in Human Trajectories using Sequence to Sequence Networks—0
Robust Structured Low-Rank Approximation on the Grassmannian—0
An Applied Deep Learning Approach for Estimating Soybean Relative Maturity from UAV Imagery to Aid Plant Breeding Decisions—0
Robust Time Series Causal Discovery for Agent-Based Model Validation—0
Jumpy Recurrent Neural Networks—0
Robust Time Series Denoising with Learnable Wavelet Packet Transform—0
Robust Time Series Dissimilarity Measure for Outlier Detection and Periodicity Detection—0
Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler—0
Automated Model Selection for Time-Series Anomaly Detection—0
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment—0
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications—0
Joint Time-Vertex Fractional Fourier Transform—0
Joint Signal Recovery and Graph Learning from Incomplete Time-Series—0
Deep Generators on Commodity Markets; application to Deep Hedging—0
Joint segmentation of multivariate time series with hidden process regression for human activity recognition—0
Deep Generative SToRM model for dynamic imaging—0
Automated Mobility Context Detection with Inertial Signals—0
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout—0
A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction—0
Role of Deep LSTM Neural Networks And WiFi Networks in Support of Occupancy Prediction in Smart Buildings—0
Role of Mixup in Topological Persistence Based Knowledge Distillation for Wearable Sensor Data—0
Joint Problems in Learning Multiple Dynamical Systems—0
Joint Prediction Regions for time-series models—0
Deep Generative Quantile-Copula Models for Probabilistic Forecasting—0
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems—0
Joint Normality Test Via Two-Dimensional Projection—0
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning—0
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting—0
Joint multifractal analysis based on the partition function approach: Analytical analysis, numerical simulation and empirical application—0
Joint Multi-Dimensional Model for Global and Time-Series Annotations—0
RotLSTM: Rotating Memories in Recurrent Neural Networks—0
RotNet: Fast and Scalable Estimation of Stellar Rotation Periods Using Convolutional Neural Networks—0
Joint modeling of multiple time series via the beta process with application to motion capture segmentation—0
Deep Generative Modeling for Financial Time Series with Application in VaR: A Comparative Review—0
Rough volatility of Bitcoin—0
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training—0
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