Editorial Board
Re-sampled inheritance compact optimization
A hybrid neural network for predicting Days on Market a measure of liquidity in real estate industry
Manifold graph embedding with structure information propagation for community discovery
Minimum class variance multiple kernel learning
A many-objective feature selection for multi-label classification
A named entity topic model for news popularity prediction
A novel decision probability transformation method based on belief interval
Knowledge and emotion dual-driven method for crowd evacuation
A weak supervision machine vision detection method based on artificial defect simulation
A novel dynamic ensemble selection classifier for an imbalanced data set: An application for credit risk assessment
Mining high utility itemsets using extended chain structure and utility machine
Multi-turn intent determination and slot filling with neural networks and regular expressions
Neural networks model based on an automated multi-scale method for mammogram classification
Improved CNN for the diagnosis of engine defects of 2-wheeler vehicle using wavelet synchro-squeezed transform (WSST)
Learning semi-lazy Bayesian network classifier under the c.i.i.d assumption
Incremental learning model inspired in Rehearsal for deep convolutional networks
A machine learning-based investigation utilizing the in-text features for the identification of dominant emotion in an email
A modified sine cosine algorithm for accurate global optimization of numerical functions and multiple hydropower reservoirs operation
Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem