Ensemble classification for imbalanced data based on feature space partitioning and hybrid metaheuristics
A novel multi-featured metric for adaptive routing in mobile ad hoc networks
Fraud detection for job placement using hierarchical clusters-based deep neural networks
A grouping particle swarm optimizer
A novel multi-step reinforcement learning method for solving reward hacking
A filter-based bare-bone particle swarm optimization algorithm for unsupervised feature selection
Replay and key-events detection for sports video summarization using confined elliptical local ternary patterns and extreme learning machine
MCDMSR: multicriteria decision making selection/replacement based on agility strategy for real optimization problems
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction
Sample awareness-based personalized facial expression recognition
Research on CTR prediction based on stacked autoencoder
Applying uncertain frequent pattern mining to improve ranking of retrieved images
A hybrid modelling method for time series forecasting based on a linear regression model and deep learning
Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network
Feature selection for multi-label learning with missing labels
Unsupervised privacy-enhancement of face representations using similarity-sensitive noise transformations
A projection wavelet weighted twin support vector regression and its primal solution
Learning representative features via constrictive annular loss for image classification
A quantum-inspired sentiment representation model for twitter sentiment analysis
Multi-view learning with fisher kernel and bi-bagging for imbalanced problem
EnSWF: effective features extraction and selection in conjunction with ensemble learning methods for document sentiment classification
Collaborative filtering recommendation algorithm integrating time windows and rating predictions