A fast and enhanced shallow learning framework for solving free boundary options pricing problems
PINN-CHK: Physics-informed neural network for high-fidelity prediction of early-age cement hydration kinetics
Detection of Tampered Real Time Videos Using Deep Neural Networks
Multi-view GCN for Loan Default Risk Prediction
Combining Variable Neighbourhood with Gradient Ascent for Learning to Rank Problem
A Novel Hybrid PSO- and GS-based Hyperparameter Optimization Algorithm for Support Vector Regression
Flow-Based Intrusion Detection on Software-Defined Networks: A Multivariate Time Series Anomaly Detection Approach
A Frequency-based Parent Selection for Reducing the Effect of Evaluation Time Bias in Asynchronous Parallel Multi-objective Evolutionary Algorithms
Machine Learning Classification Algorithms for Systematic Analysis to Understand Learners Drop out of MOOCs courses
Detecting and Learning from Unknown by Extremely Weak Supervision: eXploratory Classifier (xClass)
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