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Showing 6976–7000 of 9169 papers

TitleStatusHype
Hybrid Model for Anomaly Detection on Call Detail Records by Time Series Forecasting—0
Robust Anomaly Detection for Time-series Data—0
Robust Audio Anomaly Detection—0
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface—0
Robust Augmentation for Multivariate Time Series Classification—0
Cross-Recurrence Quantification Analysis of Categorical and Continuous Time Series: an R package—0
Robust Constrained Multi-objective Evolutionary Algorithm based on Polynomial Chaos Expansion for Trajectory Optimization—0
Robust Detection of Lead-Lag Relationships in Lagged Multi-Factor Models—0
Robust Domain-Free Domain Generalization with Class-aware Alignment—0
Robust Dominant Periodicity Detection for Time Series with Missing Data—0
Robust Estimation in Network Vector Autoregression with Nonstationary Regressors—0
Robust Estimation of Realized Correlation: New Insight about Intraday Fluctuations in Market Betas—0
A Basic Recurrent Neural Network Model—0
Hybridization of Persistent Homology with Neural Networks for Time-Series Prediction: A Case Study in Wave Height—0
Robust Forecasting for Robotic Control: A Game-Theoretic Approach—0
Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion—0
Robust guarantees for learning an autoregressive filter—0
Robustifying Markowitz—0
Financial Trading Model with Stock Bar Chart Image Time Series with Deep Convolutional Neural Networks—0
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data—0
FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics—0
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM—0
Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models—0
Cognitive forces shape the dynamics of word usage across multiple languages—0
Hybridization of Capsule and LSTM Networks for unsupervised anomaly detection on multivariate data—0
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