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Showing 5851–5875 of 9169 papers

TitleStatusHype
Data-Driven Interaction Analysis of Line Failure Cascading in Power Grid Networks—0
Improving Time Series Forecasting via Instance-aware Post-hoc Revision—0
Improving Time Series Classification with Representation Soft Label Smoothing—0
Data-driven Identification and Prediction of Power System Dynamics Using Linear Operators—0
A Transformer-Based Approach for Diagnosing Fault Cases in Optical Fiber Amplifiers—0
Neural Spline Search for Quantile Probabilistic Modeling—0
Neural Stochastic Differential Equations with Change Points: A Generative Adversarial Approach—0
Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model—0
NoxTrader: LSTM-Based Stock Return Momentum Prediction for Quantitative Trading—0
Improving Time Series Classification Algorithms Using Octave-Convolutional Layers—0
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation—0
Neural Topic Modeling of Psychotherapy Sessions—0
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques—0
Improving the Thermal Infrared Monitoring of Volcanoes: A Deep Learning Approach for Intermittent Image Series—0
Neuro Fuzzy Modelling for Prediction of Consumer Price Index—0
NeuroKoopman Dynamic Causal Discovery—0
Improving the spectral resolution of fMRI signals through the temporal de-correlation approach—0
Neuronal Temporal Filters as Normal Mode Extractors—0
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description—0
NeuroView-RNN: It's About Time—0
Data-driven forecasting of solar irradiance—0
New approaches of the DCC-GARCH residual: Application to foreign exchange rates—0
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data—0
New bootstrap tests for categorical time series. A comparative study—0
Improving the Robustness of Trading Strategy Backtesting with Boltzmann Machines and Generative Adversarial Networks—0
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