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Applied Intelligence (APIN) - August 2019, issue 8 论文列表

本期论文列表
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