The growth of COVID-19 scientific literature: A forecast analysis of different daily time series in specific settings
Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market
Cost-Sensitive Metaheuristic Optimization-Based Neural Network with Ensemble Learning for Financial Distress Prediction
Classification of Arabic healthcare questions based on word embeddings learned from massive consultations: a deep learning approach
An effective networks intrusion detection approach based on hybrid Harris Hawks and multi-layer perceptron
